CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Andreas Deutsch - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="8MK6Y1DLfrtm2uAe8Lkk6W3ZQ24e2bCxDL5AjpK/uojM/r/XPyIcWnc4I0etA9feQ7xtnJEhoJHsqAZtWmrWCA==" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-77f7b87cb1583fc59aa8f94756ebfe913345937eb932042b4077563bebb5fb4b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-1c712297ae3ac71207193b1bae0ecf1aae125886850f62c9c0139dd867630797.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="author" content="andreas deutsch" /> <meta name="description" content="Andreas Deutsch: 8 Followers, 4 Following, 86 Research papers." /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15276,"monthly_visitors":"112 million","monthly_visitor_count":112794806,"monthly_visitor_count_in_millions":112,"user_count":277186635,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1732460757000); window.Aedu.timeDifference = new Date().getTime() - 1732460757000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-296162c7af6fd81dcdd76f1a94f1fad04fb5f647401337d136fe8b68742170b1.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-8d53a22151f33ab413d88fa1c02f979c3f8706d470fc1bced09852c72a9f3454.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-f8fe82512740391f81c9e8cc48220144024b425b359b08194e316f4de070b9e8.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://independent.academia.edu/DeutschAndreas" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-9601d1cc3d68aa07c0a9901d03d3611aec04cc07d2a2039718ebef4ad4d148ca.js" defer="defer"></script><script>Aedu.rankings = { showPaperRankingsLink: false } $viewedUser = Aedu.User.set_viewed( {"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas","photo":"/images/s65_no_pic.png","has_photo":false,"is_analytics_public":false,"interests":[]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = [{"id":49882228,"link":"https://www.facebook.com/app_scoped_user_id/YXNpZADpBWEhsZA0IzMnN0d01TWl80eDdrV1p2NlJEcVdVb25oZADJ2c1BrZAThrUzBkcEFCUVcyYmNRUGM1NzcxRnRHeGxEaWNRX1JIY3RGMXVyeHA5WmhMWE43ZAk13ZAWkzNGxicDlwVlIwYXRtVDFB/","name":"Facebook","link_domain":"www.facebook.com","icon":"//www.google.com/s2/u/0/favicons?domain=www.facebook.com"}]</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/DeutschAndreas","location":"/DeutschAndreas","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/DeutschAndreas","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-b8a78720-f76f-4ff6-b3bc-58ba715fdd62"></div> <div id="ProfileCheckPaperUpdate-react-component-b8a78720-f76f-4ff6-b3bc-58ba715fdd62"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Andreas Deutsch</h1><div class="affiliations-container fake-truncate js-profile-affiliations"></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Andreas" data-follow-user-id="110569012" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="110569012"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">8</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">4</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Andreas Deutsch</h3></div><div class="js-work-strip profile--work_container" data-work-id="124691712"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124691712/Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkh%C3%A4user_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95"><img alt="Research paper thumbnail of Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: $89.95" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124691712/Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkh%C3%A4user_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95">Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: $89.95</a></div><div class="wp-workCard_item"><span>Genetic Programming and Evolvable Machines</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Without Abstract</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124691712"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124691712"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124691712; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124691712]").text(description); $(".js-view-count[data-work-id=124691712]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124691712; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124691712']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124691712, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124691712]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124691712,"title":"Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: $89.95","translated_title":"","metadata":{"abstract":"Without Abstract","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"Genetic Programming and Evolvable Machines"},"translated_abstract":"Without Abstract","internal_url":"https://www.academia.edu/124691712/Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkh%C3%A4user_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95","translated_internal_url":"","created_at":"2024-10-13T14:19:25.248-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkhäuser_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology"},{"id":8383,"name":"Pattern Formation","url":"https://www.academia.edu/Documents/in/Pattern_Formation"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"}],"urls":[{"id":45133170,"url":"http://link.springer.com/content/pdf/10.1007/s10710-006-9021-7.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384070"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384070/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions"><img alt="Research paper thumbnail of Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions" class="work-thumbnail" src="https://attachments.academia-assets.com/117059414/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384070/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions">Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, Jul 26, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7bcbac854bcc35a2b277225670cd049a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059414,"asset_id":122384070,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059414/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384070"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384070"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384070; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384070]").text(description); $(".js-view-count[data-work-id=122384070]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384070; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384070']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384070, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7bcbac854bcc35a2b277225670cd049a" } } $('.js-work-strip[data-work-id=122384070]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384070,"title":"Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions","translated_title":"","metadata":{"publisher":"American Physical Society","publication_date":{"day":26,"month":7,"year":2002,"errors":{}},"publication_name":"Physical Review Letters"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384070/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_internal_url":"","created_at":"2024-07-27T02:00:05.424-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059414/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117059414/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059414/0107039-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464354\u0026Signature=Uzjzxb1dRF7meKG6nuFPOCACts9ZLtmSQS0TQnIBfCrP4RBYRYmaBxKWeOkEhLCMBagVLj-eIL-94vgoJ60PIMhmjfxGLNU6~18kvjLvuWHTrZxwixeAKXmoRM7IYMaN-3SL0FhabXFsE-0IDa1V-9DQYc4za-76KJJgs7fHct493epCjbwfcQJU3-q-9-V5delXpNcjAfRqi8LGr6wSDoLeKgZj9NXu3DdWceTKKSlZBrH7yhV26wH6uh3q3KeBYsg3oU2jE3vRYvIeRxCiEjhcCLK3X-DdbmETFU7J484CjS39WCzpRFjOZQ-jO2Ms2BGl1KR-2-N-PYfvg5eRFQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059414/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117059414/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059414/0107039-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464354\u0026Signature=Uzjzxb1dRF7meKG6nuFPOCACts9ZLtmSQS0TQnIBfCrP4RBYRYmaBxKWeOkEhLCMBagVLj-eIL-94vgoJ60PIMhmjfxGLNU6~18kvjLvuWHTrZxwixeAKXmoRM7IYMaN-3SL0FhabXFsE-0IDa1V-9DQYc4za-76KJJgs7fHct493epCjbwfcQJU3-q-9-V5delXpNcjAfRqi8LGr6wSDoLeKgZj9NXu3DdWceTKKSlZBrH7yhV26wH6uh3q3KeBYsg3oU2jE3vRYvIeRxCiEjhcCLK3X-DdbmETFU7J484CjS39WCzpRFjOZQ-jO2Ms2BGl1KR-2-N-PYfvg5eRFQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059413,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059413/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117059413/download_file","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059413/0107039-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464354\u0026Signature=hEW4q5y~~OcdQ3Ugj2Wh1pOhDQYiDQJJXk00FC0o6rG0TZbeV0bi8GTp2iez7BLsoxKNWfCGixnwJcrnIdTG58Q3rbSjkH8abxr897dWHK5lAky7iivI9cnZLP3~YOeTnZUeZN-qpTwG3LnJU9CFllBIVUcGxnS8l5K7juObn34RsIgKoOK0X~nprya-pTiFJ1zxj3iCKYoTTTGGwaWzfGmv92cgbdLIITHIdsQK-jaWssgtfYN9HWXxu0EJfRpxVNX~bVLWTV8P8-KrR3hUi7d7TOoGIrqKzVBEYUj~MTKXO5TyX7YbHjFY0kKKrqavPmeay2n0-un2GG7pWFqSew__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":185,"name":"Collective Behavior","url":"https://www.academia.edu/Documents/in/Collective_Behavior"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8383,"name":"Pattern Formation","url":"https://www.academia.edu/Documents/in/Pattern_Formation"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":235046,"name":"Single Cell","url":"https://www.academia.edu/Documents/in/Single_Cell"},{"id":513697,"name":"Ripple","url":"https://www.academia.edu/Documents/in/Ripple"},{"id":613465,"name":"Statistical models","url":"https://www.academia.edu/Documents/in/Statistical_models"},{"id":910910,"name":"Myxobacteria","url":"https://www.academia.edu/Documents/in/Myxobacteria"},{"id":2756523,"name":"discrete model","url":"https://www.academia.edu/Documents/in/discrete_model"},{"id":3646021,"name":"Standing Wave","url":"https://www.academia.edu/Documents/in/Standing_Wave"}],"urls":[{"id":43705352,"url":"http://arxiv.org/pdf/physics/0107039"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384069"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384069/Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning"><img alt="Research paper thumbnail of Extracellular matrix guidance determines proteolytic and non-proteolytic cancer cell patterning" class="work-thumbnail" src="https://attachments.academia-assets.com/117059447/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384069/Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning">Extracellular matrix guidance determines proteolytic and non-proteolytic cancer cell patterning</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that respond...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to tissue cues and further involves proteolytic remodeling of the tumor stroma. How matrix density, tissue guidance and the ability of proteolytic tissue remodeling cooperate and determine decision-making of invading tumor cells in complex-structured three-dimensional (3D) tissue remains unclear. We here developed a collagen-based invasion assay containing a guiding interface of low collagen density adjacent to randomly organized 3D fibrillar lattice and examined the invasion of melanoma cells from multicellular spheroids in response to matrix density, guidance cues and collagenolysis. After 48 hours of culture, two invasion niches developed, (i) sheet-like collective migration along the interface and (ii) single cell- and strand-like invasion into randomly organized 3D matrix. High collagen density impeded migration into the random matrix, whereas migration along a high-density collag...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f608e534143aaebd8749f56a5356046a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059447,"asset_id":122384069,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059447/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384069"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384069"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384069; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384069]").text(description); $(".js-view-count[data-work-id=122384069]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384069; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384069']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384069, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f608e534143aaebd8749f56a5356046a" } } $('.js-work-strip[data-work-id=122384069]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384069,"title":"Extracellular matrix guidance determines proteolytic and non-proteolytic cancer cell patterning","translated_title":"","metadata":{"abstract":"Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to tissue cues and further involves proteolytic remodeling of the tumor stroma. How matrix density, tissue guidance and the ability of proteolytic tissue remodeling cooperate and determine decision-making of invading tumor cells in complex-structured three-dimensional (3D) tissue remains unclear. We here developed a collagen-based invasion assay containing a guiding interface of low collagen density adjacent to randomly organized 3D fibrillar lattice and examined the invasion of melanoma cells from multicellular spheroids in response to matrix density, guidance cues and collagenolysis. After 48 hours of culture, two invasion niches developed, (i) sheet-like collective migration along the interface and (ii) single cell- and strand-like invasion into randomly organized 3D matrix. High collagen density impeded migration into the random matrix, whereas migration along a high-density collag...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2022,"errors":{}}},"translated_abstract":"Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to tissue cues and further involves proteolytic remodeling of the tumor stroma. How matrix density, tissue guidance and the ability of proteolytic tissue remodeling cooperate and determine decision-making of invading tumor cells in complex-structured three-dimensional (3D) tissue remains unclear. We here developed a collagen-based invasion assay containing a guiding interface of low collagen density adjacent to randomly organized 3D fibrillar lattice and examined the invasion of melanoma cells from multicellular spheroids in response to matrix density, guidance cues and collagenolysis. After 48 hours of culture, two invasion niches developed, (i) sheet-like collective migration along the interface and (ii) single cell- and strand-like invasion into randomly organized 3D matrix. High collagen density impeded migration into the random matrix, whereas migration along a high-density collag...","internal_url":"https://www.academia.edu/122384069/Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning","translated_internal_url":"","created_at":"2024-07-27T02:00:05.133-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059447,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059447/thumbnails/1.jpg","file_name":"2022.03.16.484647.full.pdf","download_url":"https://www.academia.edu/attachments/117059447/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extracellular_matrix_guidance_determines.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059447/2022.03.16.484647.full-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DExtracellular_matrix_guidance_determines.pdf\u0026Expires=1732464355\u0026Signature=WlWG987nrailiz0cqMPE9wA4rKOQ6VUM~qX1C3sk~0ilsB-dVkDkz3RbcfGjF5yRrlQU3vLo0Bwxs0eg27CyTELQgWBu-V~9ykFkGvbGZcRJhUlaSMifI8-dI1wSJ-yZ7lIdW9MVyyib4BHr2ZQtp1yBublKIrApups4tpMB6aDtaJm4jU3IvnvnlkTd9Mg0HfKghMgifJl~aFITX-LplB6MG1Rq7pnXBuUXMOi8kYFSM0uZPDvs6SMEsDCaz4O-GrmaOghS0ef50CL8zbp~CDnU7oJ5DqJ55n1W~kFsZxdhhDzlrX4zW4fcxy1S262brZofyNOpOoDl7PRBjDJPHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning","translated_slug":"","page_count":21,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059447,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059447/thumbnails/1.jpg","file_name":"2022.03.16.484647.full.pdf","download_url":"https://www.academia.edu/attachments/117059447/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extracellular_matrix_guidance_determines.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059447/2022.03.16.484647.full-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DExtracellular_matrix_guidance_determines.pdf\u0026Expires=1732464355\u0026Signature=WlWG987nrailiz0cqMPE9wA4rKOQ6VUM~qX1C3sk~0ilsB-dVkDkz3RbcfGjF5yRrlQU3vLo0Bwxs0eg27CyTELQgWBu-V~9ykFkGvbGZcRJhUlaSMifI8-dI1wSJ-yZ7lIdW9MVyyib4BHr2ZQtp1yBublKIrApups4tpMB6aDtaJm4jU3IvnvnlkTd9Mg0HfKghMgifJl~aFITX-LplB6MG1Rq7pnXBuUXMOi8kYFSM0uZPDvs6SMEsDCaz4O-GrmaOghS0ef50CL8zbp~CDnU7oJ5DqJ55n1W~kFsZxdhhDzlrX4zW4fcxy1S262brZofyNOpOoDl7PRBjDJPHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8863,"name":"Cell Migration","url":"https://www.academia.edu/Documents/in/Cell_Migration"},{"id":13827,"name":"Cell Biology","url":"https://www.academia.edu/Documents/in/Cell_Biology"},{"id":29149,"name":"Extracellular Matrix","url":"https://www.academia.edu/Documents/in/Extracellular_Matrix"},{"id":1920779,"name":"Matrix Metalloproteinase","url":"https://www.academia.edu/Documents/in/Matrix_Metalloproteinase"}],"urls":[{"id":43705351,"url":"https://syndication.highwire.org/content/doi/10.1101/2022.03.16.484647"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384068"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384068/European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications"><img alt="Research paper thumbnail of European Communications in Mathematical and Theoretical Biology February 2008 , No . 10 E MTB Communications" class="work-thumbnail" src="https://attachments.academia-assets.com/117059407/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384068/European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications">European Communications in Mathematical and Theoretical Biology February 2008 , No . 10 E MTB Communications</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age duri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age during the last few years. The launch of a new and dedicated journal, with an associated</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8d3b362bf521efed1d6b3351d02a7539" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059407,"asset_id":122384068,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059407/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384068"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384068"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384068; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384068]").text(description); $(".js-view-count[data-work-id=122384068]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384068; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384068']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384068, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8d3b362bf521efed1d6b3351d02a7539" } } $('.js-work-strip[data-work-id=122384068]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384068,"title":"European Communications in Mathematical and Theoretical Biology February 2008 , No . 10 E MTB Communications","translated_title":"","metadata":{"abstract":"submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age during the last few years. The launch of a new and dedicated journal, with an associated","publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":"submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age during the last few years. The launch of a new and dedicated journal, with an associated","internal_url":"https://www.academia.edu/122384068/European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications","translated_internal_url":"","created_at":"2024-07-27T02:00:04.863-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059407/thumbnails/1.jpg","file_name":"ecmtb10.pdf","download_url":"https://www.academia.edu/attachments/117059407/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"European_Communications_in_Mathematical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059407/ecmtb10-libre.pdf?1722074569=\u0026response-content-disposition=attachment%3B+filename%3DEuropean_Communications_in_Mathematical.pdf\u0026Expires=1732464355\u0026Signature=NFkBaeP3oIgF0vYseIaq1ZeZpaDIn~OLQ4mZaqbYfAKKyR48O98JBZvOYIa6H5CBIcOBzTaJh~6jSsGrXPvVkVv6Iwt2TLqxZh8mdFrM8pShyu82kkuqL7yEH71oX~NJGQT0~DN46kagNwDboyafiQT0Wlw-M7-4Qrz~QZGy1LoUR7tfTq2NnQ1tOO4NbxzIW105tiKj4DY4mc6-blIy2l-16sIW082Nc3bcxZfTD~Iy4AD8gEqxZ0JXybOeAqVOe6uPZAnpRFoDEEg4qaLQeVT4kuu4XfL4vTSJkT7SyIrxAa8i6RMZeaEsoN8Vqm-l~82xRSn-aSAiOH-40ZCtpQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications","translated_slug":"","page_count":42,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059407/thumbnails/1.jpg","file_name":"ecmtb10.pdf","download_url":"https://www.academia.edu/attachments/117059407/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"European_Communications_in_Mathematical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059407/ecmtb10-libre.pdf?1722074569=\u0026response-content-disposition=attachment%3B+filename%3DEuropean_Communications_in_Mathematical.pdf\u0026Expires=1732464355\u0026Signature=NFkBaeP3oIgF0vYseIaq1ZeZpaDIn~OLQ4mZaqbYfAKKyR48O98JBZvOYIa6H5CBIcOBzTaJh~6jSsGrXPvVkVv6Iwt2TLqxZh8mdFrM8pShyu82kkuqL7yEH71oX~NJGQT0~DN46kagNwDboyafiQT0Wlw-M7-4Qrz~QZGy1LoUR7tfTq2NnQ1tOO4NbxzIW105tiKj4DY4mc6-blIy2l-16sIW082Nc3bcxZfTD~Iy4AD8gEqxZ0JXybOeAqVOe6uPZAnpRFoDEEg4qaLQeVT4kuu4XfL4vTSJkT7SyIrxAa8i6RMZeaEsoN8Vqm-l~82xRSn-aSAiOH-40ZCtpQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":43705350,"url":"https://esmtb.org/resources/Documents/ecmtb10.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384067"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384067/Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs"><img alt="Research paper thumbnail of Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs" class="work-thumbnail" src="https://attachments.academia-assets.com/117059412/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384067/Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs">Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs</a></div><div class="wp-workCard_item"><span>Cancers</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that dev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that develop towards secondary glioblastomas over time. However, only little is known about molecular alterations that drive this progression. We measured multi-omics profiles of patient-matched astrocytoma pairs of initial and recurrent tumors from 22 patients to identify molecular alterations associated with tumor progression. Gene copy number profiles formed three major subcluters, but more than half of the patient-matched astrocytoma pairs differed in their gene copy number profiles like astrocytomas from different patients. Chromosome 10 deletions were not observed for diffuse astrocytomas, but occurred in corresponding recurrent tumors. Gene expression profiles formed three other major subclusters and patient-matched expression profiles were much more heterogeneous than their copy number profiles. Still, recurrent tumors showed a strong tendency to switch to the mesenchymal subtype. The di...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a740645919a99bbcaea25f37cc637b0a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059412,"asset_id":122384067,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059412/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384067"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384067"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384067; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384067]").text(description); $(".js-view-count[data-work-id=122384067]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384067; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384067']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384067, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a740645919a99bbcaea25f37cc637b0a" } } $('.js-work-strip[data-work-id=122384067]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384067,"title":"Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs","translated_title":"","metadata":{"abstract":"Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that develop towards secondary glioblastomas over time. However, only little is known about molecular alterations that drive this progression. We measured multi-omics profiles of patient-matched astrocytoma pairs of initial and recurrent tumors from 22 patients to identify molecular alterations associated with tumor progression. Gene copy number profiles formed three major subcluters, but more than half of the patient-matched astrocytoma pairs differed in their gene copy number profiles like astrocytomas from different patients. Chromosome 10 deletions were not observed for diffuse astrocytomas, but occurred in corresponding recurrent tumors. Gene expression profiles formed three other major subclusters and patient-matched expression profiles were much more heterogeneous than their copy number profiles. Still, recurrent tumors showed a strong tendency to switch to the mesenchymal subtype. The di...","publisher":"MDPI AG","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Cancers"},"translated_abstract":"Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that develop towards secondary glioblastomas over time. However, only little is known about molecular alterations that drive this progression. We measured multi-omics profiles of patient-matched astrocytoma pairs of initial and recurrent tumors from 22 patients to identify molecular alterations associated with tumor progression. Gene copy number profiles formed three major subcluters, but more than half of the patient-matched astrocytoma pairs differed in their gene copy number profiles like astrocytomas from different patients. Chromosome 10 deletions were not observed for diffuse astrocytomas, but occurred in corresponding recurrent tumors. Gene expression profiles formed three other major subclusters and patient-matched expression profiles were much more heterogeneous than their copy number profiles. Still, recurrent tumors showed a strong tendency to switch to the mesenchymal subtype. The di...","internal_url":"https://www.academia.edu/122384067/Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs","translated_internal_url":"","created_at":"2024-07-27T02:00:04.572-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059412,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059412/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117059412/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_Characterization_of_Astrocytom.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059412/pdf-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_Characterization_of_Astrocytom.pdf\u0026Expires=1732464355\u0026Signature=ElNgd9AKvzbzWz8m5HN195XDUE22LxT7jXYbDFixg0F1w-6PPnJ-bVSvizCmBqQnm9dN2l0TFtCn6NnDO6d12oNpYaqlWjLyFlLbH~EXBdh2yAVncCjz5vzy4tCybuw1j03rfU37kxy2ly8iVGhwgMoMdcxH9ENwLqg3c1Q7peRTpemfqhkZ-t-Gfpo3wGWDMYRB~UnJZT~CLvDEutxW5PJtt48IiyYMGwzlcIKhd6zYC74iF1aXdmzTP~XPI30n0-F3KlSR-JlkngyPPB7ILynAJnyL1PZmAEQTyukdIeaE2gc6W0pxtCeSMOESb6ogITNZLnybHkSOG~x~EHRihA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs","translated_slug":"","page_count":27,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059412,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059412/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117059412/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_Characterization_of_Astrocytom.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059412/pdf-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_Characterization_of_Astrocytom.pdf\u0026Expires=1732464355\u0026Signature=ElNgd9AKvzbzWz8m5HN195XDUE22LxT7jXYbDFixg0F1w-6PPnJ-bVSvizCmBqQnm9dN2l0TFtCn6NnDO6d12oNpYaqlWjLyFlLbH~EXBdh2yAVncCjz5vzy4tCybuw1j03rfU37kxy2ly8iVGhwgMoMdcxH9ENwLqg3c1Q7peRTpemfqhkZ-t-Gfpo3wGWDMYRB~UnJZT~CLvDEutxW5PJtt48IiyYMGwzlcIKhd6zYC74iF1aXdmzTP~XPI30n0-F3KlSR-JlkngyPPB7ILynAJnyL1PZmAEQTyukdIeaE2gc6W0pxtCeSMOESb6ogITNZLnybHkSOG~x~EHRihA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059415,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059415/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117059415/download_file","bulk_download_file_name":"Molecular_Characterization_of_Astrocytom.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059415/pdf-libre.pdf?1722074559=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_Characterization_of_Astrocytom.pdf\u0026Expires=1732464355\u0026Signature=ehP-ys8fbbO2YFw8jcf1TEBrkqqH8BUAB48mMD8eN~erNNEBGot~3WjXNs6IGBwRCceBSlf9uKoOc4ZwUNKWv5sTUH3ka3T~PrOLI~ug0jtevblUEcffNuKmwGsga5va3bczpywmbwxM4Uf64e7M6gQGIqMTzWGGikgHICn-bzmHhZ1mAg9ZeZ9vfGE7rWbHY~e3pPIje3NU~wI7z5B5qcAekRnpkYI3Hg-S6sVrwihH9GOGBtVEltEtcfivqKw7UAI6Dp5X~oupKJEv8PCjAfPsfG68JyDvshTipI51ElZluFLopW1seWv1W0q2fd~7KpGcx5zVWEHRV1sQ9RZtmw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":22255,"name":"Cancer Research","url":"https://www.academia.edu/Documents/in/Cancer_Research"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":615462,"name":"IDH","url":"https://www.academia.edu/Documents/in/IDH"},{"id":859051,"name":"Astrocytoma","url":"https://www.academia.edu/Documents/in/Astrocytoma"},{"id":1010893,"name":"Cancers","url":"https://www.academia.edu/Documents/in/Cancers"},{"id":1579513,"name":"Tumor Progression","url":"https://www.academia.edu/Documents/in/Tumor_Progression"}],"urls":[{"id":43705349,"url":"https://www.mdpi.com/2072-6694/12/6/1696/pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384066"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384066/Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches"><img alt="Research paper thumbnail of Patterns of tumor progression predict small and tissue-specific tumor-originating niches" class="work-thumbnail" src="https://attachments.academia-assets.com/117059443/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384066/Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches">Patterns of tumor progression predict small and tissue-specific tumor-originating niches</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cancer development is a multistep process in which cells increase in malignancy through progressi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cancer development is a multistep process in which cells increase in malignancy through progressive alterations. The early phase of this process is hardly observable which aggravates an understanding of later tumor development. We shed light on this initial phase with a cell-based stochastic model calibrated with epidemiological data from the tissue scale. Our model allows to estimate the number of tumor cells needed for tumor formation in human tissues based on data on the diagnosed ratios of benign and malignant tumors. We find that the minimal number of cells needed for tumor formation is surprisingly small and largely depends on the tissue type. Our results point towards the existence of tumor-originating niches in which the fate of tumor development is early decided. Our estimate for the human colon agrees well with the size of the stem cell niche in colonic crypts. Our estimates might help to identify the tumor-originating cell type, e.g. our analysis suggests for glioblastoma...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="439813f362bb5dba5f744507127dd0bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059443,"asset_id":122384066,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059443/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384066"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384066"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384066; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384066]").text(description); $(".js-view-count[data-work-id=122384066]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384066; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384066']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384066, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "439813f362bb5dba5f744507127dd0bf" } } $('.js-work-strip[data-work-id=122384066]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384066,"title":"Patterns of tumor progression predict small and tissue-specific tumor-originating niches","translated_title":"","metadata":{"abstract":"Cancer development is a multistep process in which cells increase in malignancy through progressive alterations. The early phase of this process is hardly observable which aggravates an understanding of later tumor development. We shed light on this initial phase with a cell-based stochastic model calibrated with epidemiological data from the tissue scale. Our model allows to estimate the number of tumor cells needed for tumor formation in human tissues based on data on the diagnosed ratios of benign and malignant tumors. We find that the minimal number of cells needed for tumor formation is surprisingly small and largely depends on the tissue type. Our results point towards the existence of tumor-originating niches in which the fate of tumor development is early decided. Our estimate for the human colon agrees well with the size of the stem cell niche in colonic crypts. Our estimates might help to identify the tumor-originating cell type, e.g. our analysis suggests for glioblastoma...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2018,"errors":{}}},"translated_abstract":"Cancer development is a multistep process in which cells increase in malignancy through progressive alterations. The early phase of this process is hardly observable which aggravates an understanding of later tumor development. We shed light on this initial phase with a cell-based stochastic model calibrated with epidemiological data from the tissue scale. Our model allows to estimate the number of tumor cells needed for tumor formation in human tissues based on data on the diagnosed ratios of benign and malignant tumors. We find that the minimal number of cells needed for tumor formation is surprisingly small and largely depends on the tissue type. Our results point towards the existence of tumor-originating niches in which the fate of tumor development is early decided. Our estimate for the human colon agrees well with the size of the stem cell niche in colonic crypts. Our estimates might help to identify the tumor-originating cell type, e.g. our analysis suggests for glioblastoma...","internal_url":"https://www.academia.edu/122384066/Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches","translated_internal_url":"","created_at":"2024-07-27T02:00:04.231-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059443,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059443/thumbnails/1.jpg","file_name":"330175.full.pdf","download_url":"https://www.academia.edu/attachments/117059443/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Patterns_of_tumor_progression_predict_sm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059443/330175.full-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DPatterns_of_tumor_progression_predict_sm.pdf\u0026Expires=1732464355\u0026Signature=EsOaN1MftI0zpVFh7J6iufjXXmoUHmbDCT5Ih9W9rz-6EQbWP84u7WrFAffmJnoD4RzXLgWuyDlBSiUwrhZdGLTeVvLItI86Hg0~PVp5oUaLG5WC4cflJBCUaVU4VXnNkvvcwUKeEHrpUeyi-UWkz~qtYDYrhR24A-P3ZmGExmC8NZbZSm0AkbGa~M3tuOHt-Cz9kAkIQrwkkqp~POAbCEub21qS~YFSR6mk2-fKbDtH8m5lrioiTTef9WMoukWVm5-TNANcV0gJiyF5H9vRNTnWt1eQDDie6ILM2XBhE6gGAer21j5v3hKTgjh3-yZhmj5mmwFx7a54KAh6GDiDeQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059443,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059443/thumbnails/1.jpg","file_name":"330175.full.pdf","download_url":"https://www.academia.edu/attachments/117059443/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Patterns_of_tumor_progression_predict_sm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059443/330175.full-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DPatterns_of_tumor_progression_predict_sm.pdf\u0026Expires=1732464355\u0026Signature=EsOaN1MftI0zpVFh7J6iufjXXmoUHmbDCT5Ih9W9rz-6EQbWP84u7WrFAffmJnoD4RzXLgWuyDlBSiUwrhZdGLTeVvLItI86Hg0~PVp5oUaLG5WC4cflJBCUaVU4VXnNkvvcwUKeEHrpUeyi-UWkz~qtYDYrhR24A-P3ZmGExmC8NZbZSm0AkbGa~M3tuOHt-Cz9kAkIQrwkkqp~POAbCEub21qS~YFSR6mk2-fKbDtH8m5lrioiTTef9WMoukWVm5-TNANcV0gJiyF5H9vRNTnWt1eQDDie6ILM2XBhE6gGAer21j5v3hKTgjh3-yZhmj5mmwFx7a54KAh6GDiDeQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":729299,"name":"Niche","url":"https://www.academia.edu/Documents/in/Niche"},{"id":1579513,"name":"Tumor Progression","url":"https://www.academia.edu/Documents/in/Tumor_Progression"},{"id":2756159,"name":"Malignancy","url":"https://www.academia.edu/Documents/in/Malignancy"}],"urls":[{"id":43705348,"url":"https://syndication.highwire.org/content/doi/10.1101/330175"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384065"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384065/Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment"><img alt="Research paper thumbnail of Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment" class="work-thumbnail" src="https://attachments.academia-assets.com/117059409/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384065/Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment">Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment</a></div><div class="wp-workCard_item"><span>Nature Communications</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance have been challenged in brain tumors. Here we report that cells expressing CSC-associated cell membrane markers in Glioblastoma (GBM) do not represent a clonal entity defined by distinct functional properties and transcriptomic profiles, but rather a plastic state that most cancer cells can adopt. We show that phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and is predictable by mathematical modeling. Although functional stem cell properties were similar in vitro, accelerated reconstitution of heterogeneity provides a growth advantage in vivo, suggesting that tumorigenic potential is linked to intrinsic plasticity rather than CSC multipotency. The capacity of any given cancer cell to reconstitute tumor heterogeneity cautions against therapies targeting CSC-associated membrane epitopes. Instead inherent cancer cell pl...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3d77fe2231aaef5aba39257b18e7204" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059409,"asset_id":122384065,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059409/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384065"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384065"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384065; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384065]").text(description); $(".js-view-count[data-work-id=122384065]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384065; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384065']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384065, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3d77fe2231aaef5aba39257b18e7204" } } $('.js-work-strip[data-work-id=122384065]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384065,"title":"Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment","translated_title":"","metadata":{"abstract":"The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance have been challenged in brain tumors. Here we report that cells expressing CSC-associated cell membrane markers in Glioblastoma (GBM) do not represent a clonal entity defined by distinct functional properties and transcriptomic profiles, but rather a plastic state that most cancer cells can adopt. We show that phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and is predictable by mathematical modeling. Although functional stem cell properties were similar in vitro, accelerated reconstitution of heterogeneity provides a growth advantage in vivo, suggesting that tumorigenic potential is linked to intrinsic plasticity rather than CSC multipotency. The capacity of any given cancer cell to reconstitute tumor heterogeneity cautions against therapies targeting CSC-associated membrane epitopes. Instead inherent cancer cell pl...","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Nature Communications"},"translated_abstract":"The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance have been challenged in brain tumors. Here we report that cells expressing CSC-associated cell membrane markers in Glioblastoma (GBM) do not represent a clonal entity defined by distinct functional properties and transcriptomic profiles, but rather a plastic state that most cancer cells can adopt. We show that phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and is predictable by mathematical modeling. Although functional stem cell properties were similar in vitro, accelerated reconstitution of heterogeneity provides a growth advantage in vivo, suggesting that tumorigenic potential is linked to intrinsic plasticity rather than CSC multipotency. The capacity of any given cancer cell to reconstitute tumor heterogeneity cautions against therapies targeting CSC-associated membrane epitopes. Instead inherent cancer cell pl...","internal_url":"https://www.academia.edu/122384065/Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment","translated_internal_url":"","created_at":"2024-07-27T02:00:03.960-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059409,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059409/thumbnails/1.jpg","file_name":"s41467-019-09853-z.pdf","download_url":"https://www.academia.edu/attachments/117059409/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stem_cell_associated_heterogeneity_in_Gl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059409/s41467-019-09853-z-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DStem_cell_associated_heterogeneity_in_Gl.pdf\u0026Expires=1732464355\u0026Signature=fxbfp8mrncP0C15HP4UWQ-7W~xzuhhXHdXuplx1bajHRPujkpezWlgct8gWBgRQD8C0dTwFl6sJFDztfE41swf3VptCyUvJRGB9IjxMo8FYuCoXl8Rozc92VG9CB~FEL~MepC53FN0r83iBUxPkJ7EPf8CuauQRF8wVUrQYPb38kAaQIwdIgXhQ7-8WVGu9mGLs6Z6AOTYXjXMasZAYTDhN8-CiWzxxcHWIJ-sv1pqAM2GZJUtrvO6oj9BRWDA6xFbaAbPASHYgBy4VRvEcxs-XE5UXcRlmKoW6LTzmt~JrSj1AtL9GIXSMXMUTdgHGO-5WkblfRFIeVuHDmQ~FSbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059409,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059409/thumbnails/1.jpg","file_name":"s41467-019-09853-z.pdf","download_url":"https://www.academia.edu/attachments/117059409/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stem_cell_associated_heterogeneity_in_Gl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059409/s41467-019-09853-z-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DStem_cell_associated_heterogeneity_in_Gl.pdf\u0026Expires=1732464355\u0026Signature=fxbfp8mrncP0C15HP4UWQ-7W~xzuhhXHdXuplx1bajHRPujkpezWlgct8gWBgRQD8C0dTwFl6sJFDztfE41swf3VptCyUvJRGB9IjxMo8FYuCoXl8Rozc92VG9CB~FEL~MepC53FN0r83iBUxPkJ7EPf8CuauQRF8wVUrQYPb38kAaQIwdIgXhQ7-8WVGu9mGLs6Z6AOTYXjXMasZAYTDhN8-CiWzxxcHWIJ-sv1pqAM2GZJUtrvO6oj9BRWDA6xFbaAbPASHYgBy4VRvEcxs-XE5UXcRlmKoW6LTzmt~JrSj1AtL9GIXSMXMUTdgHGO-5WkblfRFIeVuHDmQ~FSbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059410,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059410/thumbnails/1.jpg","file_name":"s41467-019-09853-z.pdf","download_url":"https://www.academia.edu/attachments/117059410/download_file","bulk_download_file_name":"Stem_cell_associated_heterogeneity_in_Gl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059410/s41467-019-09853-z-libre.pdf?1722074555=\u0026response-content-disposition=attachment%3B+filename%3DStem_cell_associated_heterogeneity_in_Gl.pdf\u0026Expires=1732464355\u0026Signature=cX0d2wLA7vCw0yQlIF0aiRxR4dJEcgVRmKeOOtnxYJBXX0O0MBYUPYqTwK9ka4qcPl2u~Zjg~GaRg4JZhUyJiMye81bjI5uNu5SfctfKH35s2gY~wdXBMepgn-jtRbcg3ItStv4GUM-KQSCxL5lWtXER2y3xhCEi1mLRpBONxVyCz2~OKUuYy3zYvDZKWeXX7CuhQMcd9FkQ0NbE5LWadIXPeIHQFMbQPpE-kcL3vguRgPE0y02Od8XfM3gQmHhFoF7GvlOxnqSvvkLKv6SIScy8hwu4SJsYHtp61K9A~IKU-mYK-gfan1lJAXWn~ZSWK767AqIM9Wc7E8hVCK8W3A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":23163,"name":"Stem Cell","url":"https://www.academia.edu/Documents/in/Stem_Cell"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":62710,"name":"Tumor microenvironment","url":"https://www.academia.edu/Documents/in/Tumor_microenvironment"},{"id":275658,"name":"Cancer Stem Cell","url":"https://www.academia.edu/Documents/in/Cancer_Stem_Cell"},{"id":506082,"name":"Cancer Cell","url":"https://www.academia.edu/Documents/in/Cancer_Cell"},{"id":1267800,"name":"Nature Communications","url":"https://www.academia.edu/Documents/in/Nature_Communications"}],"urls":[{"id":43705347,"url":"https://www.nature.com/articles/s41467-019-09853-z.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384064"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384064/CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions"><img alt="Research paper thumbnail of CellTrans: An R Package to Quantify Stochastic Cell State Transitions" class="work-thumbnail" src="https://attachments.academia-assets.com/117059442/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384064/CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions">CellTrans: An R Package to Quantify Stochastic Cell State Transitions</a></div><div class="wp-workCard_item"><span>Bioinformatics and biology insights</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states whi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans hand...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="499702765c426301e73f585fafd08c7a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059442,"asset_id":122384064,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059442/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384064"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384064"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384064; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384064]").text(description); $(".js-view-count[data-work-id=122384064]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384064; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384064']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384064, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "499702765c426301e73f585fafd08c7a" } } $('.js-work-strip[data-work-id=122384064]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384064,"title":"CellTrans: An R Package to Quantify Stochastic Cell State Transitions","translated_title":"","metadata":{"abstract":"Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans hand...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Bioinformatics and biology insights"},"translated_abstract":"Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans hand...","internal_url":"https://www.academia.edu/122384064/CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions","translated_internal_url":"","created_at":"2024-07-27T02:00:03.800-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059442,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059442/thumbnails/1.jpg","file_name":"1177932217712241.pdf","download_url":"https://www.academia.edu/attachments/117059442/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CellTrans_An_R_Package_to_Quantify_Stoch.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059442/1177932217712241-libre.pdf?1722074553=\u0026response-content-disposition=attachment%3B+filename%3DCellTrans_An_R_Package_to_Quantify_Stoch.pdf\u0026Expires=1732464355\u0026Signature=Xla6bDJwnLX8Vlz~N48FkcE98B8xuvjx1rXPjitCxGD8tp~TouiCBM~1byfeobx5RSrD7wY5l1kFUyIYhhOqH0uZ-mwg9vgruQ17X7YK7dvc2j9l3KPiG6lE~tg1LuWLGmnhMrDefQBzVpwAIzedIOYDRgHUT1r-quk4Dibh9mwfXIB5-yv0KAmPZ6f7fS7D9504Tef7QZCvqVGpLpi9BuBZhiabhOvh5S7GSaOxbUDzRT02fDBR11fZEUoGxyMGC1LfGLDTNf~5mf0ucqguKaEv3kztZQ2WTMI2mRK11NBEWwRp8F2CIvnZmn88cLakpe9tXvieFCahaBMqrioctQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059442,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059442/thumbnails/1.jpg","file_name":"1177932217712241.pdf","download_url":"https://www.academia.edu/attachments/117059442/download_file?st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CellTrans_An_R_Package_to_Quantify_Stoch.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059442/1177932217712241-libre.pdf?1722074553=\u0026response-content-disposition=attachment%3B+filename%3DCellTrans_An_R_Package_to_Quantify_Stoch.pdf\u0026Expires=1732464355\u0026Signature=Xla6bDJwnLX8Vlz~N48FkcE98B8xuvjx1rXPjitCxGD8tp~TouiCBM~1byfeobx5RSrD7wY5l1kFUyIYhhOqH0uZ-mwg9vgruQ17X7YK7dvc2j9l3KPiG6lE~tg1LuWLGmnhMrDefQBzVpwAIzedIOYDRgHUT1r-quk4Dibh9mwfXIB5-yv0KAmPZ6f7fS7D9504Tef7QZCvqVGpLpi9BuBZhiabhOvh5S7GSaOxbUDzRT02fDBR11fZEUoGxyMGC1LfGLDTNf~5mf0ucqguKaEv3kztZQ2WTMI2mRK11NBEWwRp8F2CIvnZmn88cLakpe9tXvieFCahaBMqrioctQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":515169,"name":"DDC","url":"https://www.academia.edu/Documents/in/DDC"},{"id":1316344,"name":"Cell Sorting","url":"https://www.academia.edu/Documents/in/Cell_Sorting"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384063"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384063/Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization"><img alt="Research paper thumbnail of Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization" class="work-thumbnail" src="https://attachments.academia-assets.com/117059411/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384063/Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization">Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization</a></div><div class="wp-workCard_item"><span>Molecular Cancer Therapeutics</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothes...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic ef...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4881b8de535ec4871a2969e5d17118de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059411,"asset_id":122384063,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059411/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384063"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384063"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384063; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384063]").text(description); $(".js-view-count[data-work-id=122384063]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384063; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384063']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384063, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4881b8de535ec4871a2969e5d17118de" } } $('.js-work-strip[data-work-id=122384063]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384063,"title":"Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization","translated_title":"","metadata":{"abstract":"Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic ef...","publisher":"American Association for Cancer Research (AACR)","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Molecular Cancer Therapeutics"},"translated_abstract":"Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic ef...","internal_url":"https://www.academia.edu/122384063/Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization","translated_internal_url":"","created_at":"2024-07-27T02:00:03.167-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059411,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059411/thumbnails/1.jpg","file_name":"393.pdf","download_url":"https://www.academia.edu/attachments/117059411/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Arginine_Deprivation_Therapy_Putative_St.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059411/393-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DArginine_Deprivation_Therapy_Putative_St.pdf\u0026Expires=1732464355\u0026Signature=BF958KAIg2BEepucoCUtyVwSyMg970lonW1jmdY~4SnzIWx9swYQuXvPcO6odb2Rz9HFSfTLHYeP~mqcI1AHGySCjGQU0u20TtTqTEv7ddDRYtja4UMaFADfKvPoJlf5CK~XJA4F3qjdZ1EgW5xKkGr45tksGcFM6ZmMsH7nvchCPKVRFqjk84uwtEsU~Ful7iNjktZgY~4xmSGHJRKVEcYsW001JawN3yexHlgnoFiGB1b1tzRtyTZC8qQWuUcy0c-I0-7k4vEx2AfeEFwXua7bkFLEHOwA7QU~p9l0JL4sOZoivTP4qLUJns6ZNpWy0j-hsM3n3WUBk~s~wCVeTw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059411,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059411/thumbnails/1.jpg","file_name":"393.pdf","download_url":"https://www.academia.edu/attachments/117059411/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Arginine_Deprivation_Therapy_Putative_St.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059411/393-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DArginine_Deprivation_Therapy_Putative_St.pdf\u0026Expires=1732464355\u0026Signature=BF958KAIg2BEepucoCUtyVwSyMg970lonW1jmdY~4SnzIWx9swYQuXvPcO6odb2Rz9HFSfTLHYeP~mqcI1AHGySCjGQU0u20TtTqTEv7ddDRYtja4UMaFADfKvPoJlf5CK~XJA4F3qjdZ1EgW5xKkGr45tksGcFM6ZmMsH7nvchCPKVRFqjk84uwtEsU~Ful7iNjktZgY~4xmSGHJRKVEcYsW001JawN3yexHlgnoFiGB1b1tzRtyTZC8qQWuUcy0c-I0-7k4vEx2AfeEFwXua7bkFLEHOwA7QU~p9l0JL4sOZoivTP4qLUJns6ZNpWy0j-hsM3n3WUBk~s~wCVeTw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059408,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059408/thumbnails/1.jpg","file_name":"393.pdf","download_url":"https://www.academia.edu/attachments/117059408/download_file","bulk_download_file_name":"Arginine_Deprivation_Therapy_Putative_St.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059408/393-libre.pdf?1722074559=\u0026response-content-disposition=attachment%3B+filename%3DArginine_Deprivation_Therapy_Putative_St.pdf\u0026Expires=1732464355\u0026Signature=WcGWjYuiZZw2Mcdw2ICR0sGEDG0uQNkos-XBdlaXKUxI-g7zCQu8WG1czOWKFFjrdE5UcKylN5iRd9cCHqPWohR2tlTLLicrAhsjXdaZyxAkJpfscKLPmphGRtDKYSk9YUKlmZuCaHWF3ASEuRTHtms352jOVKkqoGUBgiVUfNzJJEEfGuEbekbyCBUmUGKeCajcHDk15M5Vz4I8hxNEsrdZE55aksC0yukLtS0mqQMGQ1wAO-4mm7Uw-4BnJbvjM0s94BSFtk6xes5rDILvnwFKQjYc-ytCNBeEUD6ui7AR2duPq9fBOOb0j-~MygDw8aKKuBZH-UxW74sFpyTBeg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":22255,"name":"Cancer Research","url":"https://www.academia.edu/Documents/in/Cancer_Research"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":76383,"name":"Glioma","url":"https://www.academia.edu/Documents/in/Glioma"},{"id":555120,"name":"Arginine","url":"https://www.academia.edu/Documents/in/Arginine"},{"id":764243,"name":"Radioresistance","url":"https://www.academia.edu/Documents/in/Radioresistance"},{"id":787715,"name":"Molecular Cancer Therapeutics","url":"https://www.academia.edu/Documents/in/Molecular_Cancer_Therapeutics"},{"id":879919,"name":"Radiosensitivity","url":"https://www.academia.edu/Documents/in/Radiosensitivity"},{"id":3789884,"name":"Pharmacology and pharmaceutical sciences","url":"https://www.academia.edu/Documents/in/Pharmacology_and_pharmaceutical_sciences"}],"urls":[{"id":43705346,"url":"https://aacrjournals.org/mct/article-pdf/17/2/393/1858442/393.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384062/Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma"><img alt="Research paper thumbnail of Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma" class="work-thumbnail" src="https://attachments.academia-assets.com/117059448/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384062/Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma">Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma</a></div><div class="wp-workCard_item"><span>PLOS Computational Biology</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="994a1e2f3de778a1eb98ee772a304df4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059448,"asset_id":122384062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059448/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384062]").text(description); $(".js-view-count[data-work-id=122384062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "994a1e2f3de778a1eb98ee772a304df4" } } $('.js-work-strip[data-work-id=122384062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384062,"title":"Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma","translated_title":"","metadata":{"publisher":"Public Library of Science (PLoS)","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"PLOS Computational Biology"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384062/Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma","translated_internal_url":"","created_at":"2024-07-27T02:00:02.909-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059448,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059448/thumbnails/1.jpg","file_name":"b1ff3e16147b0966272919594845e2b59158.pdf","download_url":"https://www.academia.edu/attachments/117059448/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Model_Based_Evaluation_of_Spontaneous_Tu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059448/b1ff3e16147b0966272919594845e2b59158-libre.pdf?1722074562=\u0026response-content-disposition=attachment%3B+filename%3DModel_Based_Evaluation_of_Spontaneous_Tu.pdf\u0026Expires=1732464356\u0026Signature=J-ZmMHMKrCjMq3dbfCQEngMGBqGS1nRkher1H7Psh32l3ST58LNl5-A64IaUICvpXv1T1JjPD9eqogrmC~NOzSDTWnb1q9QQnMfusrYXjP07tECmi8L96DfHMTANqbupaUJrD91pBU9Km3YbMlPqfASYDudOFZtuTDm7mcfRLRlcOb6UBJnHWR-NmeP01Er6tIbUNY5qUJbofTPQ-B~VfCvbdznOcHiXIq7rzCieVxE5wBZbhkr-R0gLL44adFbzaEnz5WZVgzKqrHAP-WLE6r3ERTeKrOrc5UsLaJvRLDmbt-e-GU3odZoAenM-vI~xDHzPboSTu5Re324oWVeRsw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059448,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059448/thumbnails/1.jpg","file_name":"b1ff3e16147b0966272919594845e2b59158.pdf","download_url":"https://www.academia.edu/attachments/117059448/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Model_Based_Evaluation_of_Spontaneous_Tu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059448/b1ff3e16147b0966272919594845e2b59158-libre.pdf?1722074562=\u0026response-content-disposition=attachment%3B+filename%3DModel_Based_Evaluation_of_Spontaneous_Tu.pdf\u0026Expires=1732464356\u0026Signature=J-ZmMHMKrCjMq3dbfCQEngMGBqGS1nRkher1H7Psh32l3ST58LNl5-A64IaUICvpXv1T1JjPD9eqogrmC~NOzSDTWnb1q9QQnMfusrYXjP07tECmi8L96DfHMTANqbupaUJrD91pBU9Km3YbMlPqfASYDudOFZtuTDm7mcfRLRlcOb6UBJnHWR-NmeP01Er6tIbUNY5qUJbofTPQ-B~VfCvbdznOcHiXIq7rzCieVxE5wBZbhkr-R0gLL44adFbzaEnz5WZVgzKqrHAP-WLE6r3ERTeKrOrc5UsLaJvRLDmbt-e-GU3odZoAenM-vI~xDHzPboSTu5Re324oWVeRsw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":10030,"name":"Radiation Therapy","url":"https://www.academia.edu/Documents/in/Radiation_Therapy"},{"id":24731,"name":"Apoptosis","url":"https://www.academia.edu/Documents/in/Apoptosis"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":49416,"name":"Markov-chain model","url":"https://www.academia.edu/Documents/in/Markov-chain_model"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation"},{"id":74780,"name":"Mutation","url":"https://www.academia.edu/Documents/in/Mutation"},{"id":76383,"name":"Glioma","url":"https://www.academia.edu/Documents/in/Glioma"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":107672,"name":"Regression","url":"https://www.academia.edu/Documents/in/Regression"},{"id":272156,"name":"PA","url":"https://www.academia.edu/Documents/in/PA"},{"id":489727,"name":"Prognosis","url":"https://www.academia.edu/Documents/in/Prognosis"},{"id":613465,"name":"Statistical models","url":"https://www.academia.edu/Documents/in/Statistical_models"},{"id":782251,"name":"Cell Proliferation","url":"https://www.academia.edu/Documents/in/Cell_Proliferation"},{"id":859051,"name":"Astrocytoma","url":"https://www.academia.edu/Documents/in/Astrocytoma"},{"id":1425045,"name":"Brain Neoplasms","url":"https://www.academia.edu/Documents/in/Brain_Neoplasms"},{"id":1518799,"name":"Resection","url":"https://www.academia.edu/Documents/in/Resection"},{"id":1887839,"name":"Pilocytic astrocytoma","url":"https://www.academia.edu/Documents/in/Pilocytic_astrocytoma"}],"urls":[{"id":43705345,"url":"http://dx.plos.org/10.1371/journal.pcbi.1004662"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384061"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384061/The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves"><img alt="Research paper thumbnail of The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves" class="work-thumbnail" src="https://attachments.academia-assets.com/117215467/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384061/The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves">The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves</a></div><div class="wp-workCard_item"><span>ACM Transactions on Modeling and Computer Simulation</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and or...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and orchestrated procedure that often incorporates stochastic mechanisms in order to diversify cell types. How these stochastic phenomena interact to govern cell fate is poorly understood. Nonetheless, cell fate decision-making procedure is mainly regulated through the activation of differentiation waves and associated signaling pathways. In the current work, we focus on the Notch/Delta signaling pathway, which is not only known to trigger such waves but also is used to achieve the principle of lateral inhibition (i.e., a competition for exclusive fates through cross-signaling between neighboring cells). Such a process ensures unambiguous stochastic decisions influenced by intrinsic noise sources, such as those found in the regulation of signaling pathways, and extrinsic stochastic fluctuations attributed to microenvironmental factors. However, the effect of intrinsic and extrinsic noise on ce...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="989ad11a4078c37a854c776c30a43df1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117215467,"asset_id":122384061,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117215467/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384061"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384061"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384061; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384061]").text(description); $(".js-view-count[data-work-id=122384061]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384061; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384061']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384061, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "989ad11a4078c37a854c776c30a43df1" } } $('.js-work-strip[data-work-id=122384061]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384061,"title":"The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves","translated_title":"","metadata":{"abstract":"Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and orchestrated procedure that often incorporates stochastic mechanisms in order to diversify cell types. How these stochastic phenomena interact to govern cell fate is poorly understood. Nonetheless, cell fate decision-making procedure is mainly regulated through the activation of differentiation waves and associated signaling pathways. In the current work, we focus on the Notch/Delta signaling pathway, which is not only known to trigger such waves but also is used to achieve the principle of lateral inhibition (i.e., a competition for exclusive fates through cross-signaling between neighboring cells). Such a process ensures unambiguous stochastic decisions influenced by intrinsic noise sources, such as those found in the regulation of signaling pathways, and extrinsic stochastic fluctuations attributed to microenvironmental factors. However, the effect of intrinsic and extrinsic noise on ce...","publisher":"Association for Computing Machinery (ACM)","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"ACM Transactions on Modeling and Computer Simulation"},"translated_abstract":"Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and orchestrated procedure that often incorporates stochastic mechanisms in order to diversify cell types. How these stochastic phenomena interact to govern cell fate is poorly understood. Nonetheless, cell fate decision-making procedure is mainly regulated through the activation of differentiation waves and associated signaling pathways. In the current work, we focus on the Notch/Delta signaling pathway, which is not only known to trigger such waves but also is used to achieve the principle of lateral inhibition (i.e., a competition for exclusive fates through cross-signaling between neighboring cells). Such a process ensures unambiguous stochastic decisions influenced by intrinsic noise sources, such as those found in the regulation of signaling pathways, and extrinsic stochastic fluctuations attributed to microenvironmental factors. However, the effect of intrinsic and extrinsic noise on ce...","internal_url":"https://www.academia.edu/122384061/The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves","translated_internal_url":"","created_at":"2024-07-27T02:00:02.652-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117215467,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215467/thumbnails/1.jpg","file_name":"1503.01915v1.pdf","download_url":"https://www.academia.edu/attachments/117215467/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Extrinsic_Noise_Effect_on_Lateral_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215467/1503.01915v1-libre.pdf?1722803732=\u0026response-content-disposition=attachment%3B+filename%3DThe_Extrinsic_Noise_Effect_on_Lateral_In.pdf\u0026Expires=1732464356\u0026Signature=dpJtT3oAVP1MmiCY1L89aqje8ApvBvriryTiuE6wCecqTr6i-2INWLjYvu9AEP~8WWkbcAqi4Hm4O94QAaW7y5T1ntfaDhlfGR4nToKtemtXraxLreA3QO2W0j2MU9hwSgbAT4HZDJdOxlK0NkSutK1uCu1j3OX~n7WdN5yWpPYDaNNY2A22UXpodZtJxe8OMSVyMYE~sNT~zUWIu5geywlJ1y-QdOaRHCiaCBWiBsXvIOZ4Sed6X3oFlu-C7Db0NPPhIU3UkfACmidoGoAr-Q3bdvwE~Xoaas752G8jTYqnh2A9Qyr1yIgBqls3YCL2Dmf1XELmT4~lRwFesmWMcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves","translated_slug":"","page_count":15,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117215467,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215467/thumbnails/1.jpg","file_name":"1503.01915v1.pdf","download_url":"https://www.academia.edu/attachments/117215467/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Extrinsic_Noise_Effect_on_Lateral_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215467/1503.01915v1-libre.pdf?1722803732=\u0026response-content-disposition=attachment%3B+filename%3DThe_Extrinsic_Noise_Effect_on_Lateral_In.pdf\u0026Expires=1732464356\u0026Signature=dpJtT3oAVP1MmiCY1L89aqje8ApvBvriryTiuE6wCecqTr6i-2INWLjYvu9AEP~8WWkbcAqi4Hm4O94QAaW7y5T1ntfaDhlfGR4nToKtemtXraxLreA3QO2W0j2MU9hwSgbAT4HZDJdOxlK0NkSutK1uCu1j3OX~n7WdN5yWpPYDaNNY2A22UXpodZtJxe8OMSVyMYE~sNT~zUWIu5geywlJ1y-QdOaRHCiaCBWiBsXvIOZ4Sed6X3oFlu-C7Db0NPPhIU3UkfACmidoGoAr-Q3bdvwE~Xoaas752G8jTYqnh2A9Qyr1yIgBqls3YCL2Dmf1XELmT4~lRwFesmWMcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"}],"urls":[{"id":43705344,"url":"https://dl.acm.org/doi/pdf/10.1145/2832908"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384060"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384060/Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata"><img alt="Research paper thumbnail of Mathematical modelling and simulation of interacting cell systems with cellular automata" class="work-thumbnail" src="https://attachments.academia-assets.com/117059437/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384060/Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata">Mathematical modelling and simulation of interacting cell systems with cellular automata</a></div><div class="wp-workCard_item"><span>Computational Fluid and Solid Mechanics 2003#R##N#Proceedings Second MIT Conference on Compurational Fluid and Solid Mechanics June 17–20, 2003</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="786d63bf74edc54d436b72303e16e72a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059437,"asset_id":122384060,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059437/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384060"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384060"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384060; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384060]").text(description); $(".js-view-count[data-work-id=122384060]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384060; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384060']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384060, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "786d63bf74edc54d436b72303e16e72a" } } $('.js-work-strip[data-work-id=122384060]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384060,"title":"Mathematical modelling and simulation of interacting cell systems with cellular automata","translated_title":"","metadata":{"publisher":"Elsevier Science Ltd","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"Computational Fluid and Solid Mechanics 2003#R##N#Proceedings Second MIT Conference on Compurational Fluid and Solid Mechanics June 17–20, 2003"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384060/Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata","translated_internal_url":"","created_at":"2024-07-27T02:00:02.408-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059437,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059437/thumbnails/1.jpg","file_name":"MIT_2002-01.pdf","download_url":"https://www.academia.edu/attachments/117059437/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_modelling_and_simulation_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059437/MIT_2002-01-libre.pdf?1722074539=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_modelling_and_simulation_of.pdf\u0026Expires=1732464356\u0026Signature=DBX409Y4UW-S2r4bSxYzj46Dm-87GwO7-l6utH2ubNcTv1OdsANka8474WRxDaBB9KS8lnUZ7KIADbq0UogBwKICfq1k6j2jeW8jXL1ZdnDM4M67m~3vTtD3VP6q9wzTv7v4-UkFeuKWAfW1XQPmN3F5~GSsrluh4rF78sCE0fwVKnhP~5SA2X6Yl1~Ggr8scyFH25aonadGX8aOBHHBkox9Jk6nJmpt82GZiUYIzX5ff0OtYaw-R9PgEVeo4BhmJZtoBfqx4dz3q1uP-pCTsFFxnXViqtJNvirx4Zz7d3BGyyKbKgrwhqNdsm-LLndGenDXzNG2IVBdoTQXzRJ3HA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059437,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059437/thumbnails/1.jpg","file_name":"MIT_2002-01.pdf","download_url":"https://www.academia.edu/attachments/117059437/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_modelling_and_simulation_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059437/MIT_2002-01-libre.pdf?1722074539=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_modelling_and_simulation_of.pdf\u0026Expires=1732464356\u0026Signature=DBX409Y4UW-S2r4bSxYzj46Dm-87GwO7-l6utH2ubNcTv1OdsANka8474WRxDaBB9KS8lnUZ7KIADbq0UogBwKICfq1k6j2jeW8jXL1ZdnDM4M67m~3vTtD3VP6q9wzTv7v4-UkFeuKWAfW1XQPmN3F5~GSsrluh4rF78sCE0fwVKnhP~5SA2X6Yl1~Ggr8scyFH25aonadGX8aOBHHBkox9Jk6nJmpt82GZiUYIzX5ff0OtYaw-R9PgEVeo4BhmJZtoBfqx4dz3q1uP-pCTsFFxnXViqtJNvirx4Zz7d3BGyyKbKgrwhqNdsm-LLndGenDXzNG2IVBdoTQXzRJ3HA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":1029330,"name":"Automaton","url":"https://www.academia.edu/Documents/in/Automaton"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"}],"urls":[{"id":43705343,"url":"https://doi.org/10.1016/b978-008044046-0.50406-1"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384059"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384059/A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm"><img alt="Research paper thumbnail of A Cellular Automaton Model for an Immune-Derived Search Algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/117059441/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384059/A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm">A Cellular Automaton Model for an Immune-Derived Search Algorithm</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7b311ac12930eb49ddf0eca381135f90" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059441,"asset_id":122384059,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059441/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384059"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384059"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384059; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384059]").text(description); $(".js-view-count[data-work-id=122384059]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384059; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384059']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384059, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7b311ac12930eb49ddf0eca381135f90" } } $('.js-work-strip[data-work-id=122384059]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384059,"title":"A Cellular Automaton Model for an Immune-Derived Search Algorithm","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2004,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384059/A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm","translated_internal_url":"","created_at":"2024-07-27T02:00:02.221-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059441,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059441/thumbnails/1.jpg","file_name":"ACRI2004-2.pdf","download_url":"https://www.academia.edu/attachments/117059441/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Cellular_Automaton_Model_for_an_Immune.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059441/ACRI2004-2-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DA_Cellular_Automaton_Model_for_an_Immune.pdf\u0026Expires=1732464356\u0026Signature=Z8tKYYxTy-t6P~pRRKj5S2smyxjfP63pip5XgBvdK-1dI9EPXT4EomG-lckvlz4jwZF6nygjPCR6-DSbaXTvpEBCv5gzOqzej2Q~rcsyabWmPM2RAIoXy5x3zMMAFvHy0GjALYrAKc8PurTNHWF7skks6flDNN5Y8QWxirqMIvGreBmQ3UV2fSSEd3MDDRyjp-N-FODyM0ffTVgsO8lFYVbCLa71YzOz34sa8kOd~Ky2JYSnj2KZlldwKmuw~kjMkDFzMbmbuAgCFIpo-lsuB9kxglpGau9Qft76cDfoti77h5Dc6Upc5Dzl6HhabIpj0LBRYivuLghh57s64lCwcw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059441,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059441/thumbnails/1.jpg","file_name":"ACRI2004-2.pdf","download_url":"https://www.academia.edu/attachments/117059441/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Cellular_Automaton_Model_for_an_Immune.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059441/ACRI2004-2-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DA_Cellular_Automaton_Model_for_an_Immune.pdf\u0026Expires=1732464356\u0026Signature=Z8tKYYxTy-t6P~pRRKj5S2smyxjfP63pip5XgBvdK-1dI9EPXT4EomG-lckvlz4jwZF6nygjPCR6-DSbaXTvpEBCv5gzOqzej2Q~rcsyabWmPM2RAIoXy5x3zMMAFvHy0GjALYrAKc8PurTNHWF7skks6flDNN5Y8QWxirqMIvGreBmQ3UV2fSSEd3MDDRyjp-N-FODyM0ffTVgsO8lFYVbCLa71YzOz34sa8kOd~Ky2JYSnj2KZlldwKmuw~kjMkDFzMbmbuAgCFIpo-lsuB9kxglpGau9Qft76cDfoti77h5Dc6Upc5Dzl6HhabIpj0LBRYivuLghh57s64lCwcw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":78086,"name":"Random Walk","url":"https://www.academia.edu/Documents/in/Random_Walk"},{"id":155564,"name":"Search Algorithm","url":"https://www.academia.edu/Documents/in/Search_Algorithm"},{"id":267802,"name":"Dimensional","url":"https://www.academia.edu/Documents/in/Dimensional"},{"id":290886,"name":"Peer to Peer","url":"https://www.academia.edu/Documents/in/Peer_to_Peer"},{"id":324154,"name":"Immune system","url":"https://www.academia.edu/Documents/in/Immune_system"},{"id":539410,"name":"Network Topology","url":"https://www.academia.edu/Documents/in/Network_Topology"},{"id":1029330,"name":"Automaton","url":"https://www.academia.edu/Documents/in/Automaton"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384058"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384058/Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks"><img alt="Research paper thumbnail of Design and Analysis of a Bio-inspired Search Algorithm for Peer to Peer Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/117059439/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384058/Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks">Design and Analysis of a Bio-inspired Search Algorithm for Peer to Peer Networks</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2005</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3de47c3352ead8e185b32d8d717b022" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059439,"asset_id":122384058,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059439/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384058"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384058"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384058; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384058]").text(description); $(".js-view-count[data-work-id=122384058]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384058; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384058']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384058, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3de47c3352ead8e185b32d8d717b022" } } $('.js-work-strip[data-work-id=122384058]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384058,"title":"Design and Analysis of a Bio-inspired Search Algorithm for Peer to Peer Networks","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2005,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384058/Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks","translated_internal_url":"","created_at":"2024-07-27T02:00:02.039-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059439,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059439/thumbnails/1.jpg","file_name":"SELFSTAR.pdf","download_url":"https://www.academia.edu/attachments/117059439/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Design_and_Analysis_of_a_Bio_inspired_Se.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059439/SELFSTAR-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DDesign_and_Analysis_of_a_Bio_inspired_Se.pdf\u0026Expires=1732464356\u0026Signature=b0OPtfp41J-vbi0tvjdmzyEwUzaliuOn8vAGi-tnr3SOb6rgt4NXuHpRrF1493huathDjOLd9YUC2V6TNGhKn9Gzi4czHW1wzKUdkt9e2PUTEw7UNRpczjGdhleLr73njffUcGhD9b~0YSiys3-jYJYH56K~QmO8ubQfOWwGnduxaouHJpOufQTxFhwzdFUBWIdxH5eomZeXT01FAuIa4905DfbxlMo706NYplg4jRyipWjZXIi3XrC8WGO85xCnrKuYjQ9hUm9l62dgskIiLUKzumIORRnF0rVDWD228jqFx5nBfDWxANc9wBtxP5-yW-2fXHUrmTC~al28cYaUVQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059439,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059439/thumbnails/1.jpg","file_name":"SELFSTAR.pdf","download_url":"https://www.academia.edu/attachments/117059439/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Design_and_Analysis_of_a_Bio_inspired_Se.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059439/SELFSTAR-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DDesign_and_Analysis_of_a_Bio_inspired_Se.pdf\u0026Expires=1732464356\u0026Signature=b0OPtfp41J-vbi0tvjdmzyEwUzaliuOn8vAGi-tnr3SOb6rgt4NXuHpRrF1493huathDjOLd9YUC2V6TNGhKn9Gzi4czHW1wzKUdkt9e2PUTEw7UNRpczjGdhleLr73njffUcGhD9b~0YSiys3-jYJYH56K~QmO8ubQfOWwGnduxaouHJpOufQTxFhwzdFUBWIdxH5eomZeXT01FAuIa4905DfbxlMo706NYplg4jRyipWjZXIi3XrC8WGO85xCnrKuYjQ9hUm9l62dgskIiLUKzumIORRnF0rVDWD228jqFx5nBfDWxANc9wBtxP5-yW-2fXHUrmTC~al28cYaUVQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":78086,"name":"Random Walk","url":"https://www.academia.edu/Documents/in/Random_Walk"},{"id":155564,"name":"Search Algorithm","url":"https://www.academia.edu/Documents/in/Search_Algorithm"},{"id":210122,"name":"Robustness (evolution)","url":"https://www.academia.edu/Documents/in/Robustness_evolution_"},{"id":290886,"name":"Peer to Peer","url":"https://www.academia.edu/Documents/in/Peer_to_Peer"},{"id":539410,"name":"Network Topology","url":"https://www.academia.edu/Documents/in/Network_Topology"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384057"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384057/Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks"><img alt="Research paper thumbnail of Bio-inspired Search and Distributed Memory Formation on Power-Law Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/117059434/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384057/Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks">Bio-inspired Search and Distributed Memory Formation on Power-Law Networks</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b2d7acdf06802f1f4c2095ac019f9ece" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059434,"asset_id":122384057,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059434/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384057"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384057"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384057; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384057]").text(description); $(".js-view-count[data-work-id=122384057]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384057; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384057']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384057, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b2d7acdf06802f1f4c2095ac019f9ece" } } $('.js-work-strip[data-work-id=122384057]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384057,"title":"Bio-inspired Search and Distributed Memory Formation on Power-Law Networks","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384057/Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks","translated_internal_url":"","created_at":"2024-07-27T02:00:01.871-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059434,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059434/thumbnails/1.jpg","file_name":"ppsn08.pdf","download_url":"https://www.academia.edu/attachments/117059434/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Bio_inspired_Search_and_Distributed_Memo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059434/ppsn08-libre.pdf?1722074542=\u0026response-content-disposition=attachment%3B+filename%3DBio_inspired_Search_and_Distributed_Memo.pdf\u0026Expires=1732464356\u0026Signature=a8E~NvGXgB0TqywFqJ~JoAtD-nirBJioJtmnCIrLT2bjI6yTyOJV8TxuwvrJ-hmUOnPk1fle9EiOUciep1ncyofdw3-oCvLNCTiVBOatA50B6d2X3RPbIbQ1go59jEVxifKip0mQcQopPf4LWpgTsbdnkIkY38RkRuIcUwurc-i4h8uKYDn8TaAUz225~sZBgyr~SjVMz7OTcwKwemzN2PwDtpT3MlxxfbAwK-X6cZIJtA5w6vNln6ZZTj74foKWseVcsFXMxxIsO3j3L8MaiebD0NXRG9LqBJBNb0amfHsZ5RaCD2HHndF336gm-fpPTKO-bXkuB4k7G-pqMPmw6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059434,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059434/thumbnails/1.jpg","file_name":"ppsn08.pdf","download_url":"https://www.academia.edu/attachments/117059434/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Bio_inspired_Search_and_Distributed_Memo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059434/ppsn08-libre.pdf?1722074542=\u0026response-content-disposition=attachment%3B+filename%3DBio_inspired_Search_and_Distributed_Memo.pdf\u0026Expires=1732464356\u0026Signature=a8E~NvGXgB0TqywFqJ~JoAtD-nirBJioJtmnCIrLT2bjI6yTyOJV8TxuwvrJ-hmUOnPk1fle9EiOUciep1ncyofdw3-oCvLNCTiVBOatA50B6d2X3RPbIbQ1go59jEVxifKip0mQcQopPf4LWpgTsbdnkIkY38RkRuIcUwurc-i4h8uKYDn8TaAUz225~sZBgyr~SjVMz7OTcwKwemzN2PwDtpT3MlxxfbAwK-X6cZIJtA5w6vNln6ZZTj74foKWseVcsFXMxxIsO3j3L8MaiebD0NXRG9LqBJBNb0amfHsZ5RaCD2HHndF336gm-fpPTKO-bXkuB4k7G-pqMPmw6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":14118,"name":"Distributed Shared Memory System","url":"https://www.academia.edu/Documents/in/Distributed_Shared_Memory_System"},{"id":78086,"name":"Random Walk","url":"https://www.academia.edu/Documents/in/Random_Walk"},{"id":113890,"name":"Power Law","url":"https://www.academia.edu/Documents/in/Power_Law"},{"id":131237,"name":"Cluster Analysis","url":"https://www.academia.edu/Documents/in/Cluster_Analysis"},{"id":155564,"name":"Search Algorithm","url":"https://www.academia.edu/Documents/in/Search_Algorithm"},{"id":324154,"name":"Immune system","url":"https://www.academia.edu/Documents/in/Immune_system"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384055"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384055/Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus"><img alt="Research paper thumbnail of Pattern-formation mechanisms in motility mutants of Myxococcus xanthus" class="work-thumbnail" src="https://attachments.academia-assets.com/117059435/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384055/Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus">Pattern-formation mechanisms in motility mutants of Myxococcus xanthus</a></div><div class="wp-workCard_item"><span>Interface focus</span><span>, Jan 6, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Formation of spatial patterns of cells is a recurring theme in biology and often depends on regul...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Formation of spatial patterns of cells is a recurring theme in biology and often depends on regulated cell motility. Motility of the rod-shaped cells of the bacterium Myxococcus xanthus depends on two motility machineries, type IV pili (giving rise to S-motility) and the gliding motility apparatus (giving rise to A-motility). Cell motility is regulated by occasional reversals. Moving M. xanthus cells can organize into spreading colonies or spore-filled fruiting bodies, depending on their nutritional status. To ultimately understand these two pattern-formation processes and the contributions by the two motility machineries, as well as the cell reversal machinery, we analyse spatial self-organization in three M. xanthus strains: (i) a mutant that moves unidirectionally without reversing by the A-motility system only, (ii) a unidirectional mutant that is also equipped with the S-motility system, and (iii) the wild-type that, in addition to the two motility systems, occasionally reverse...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f8caeb0fa4d509c6a6b9535df0288106" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059435,"asset_id":122384055,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059435/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384055"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384055"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384055; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384055]").text(description); $(".js-view-count[data-work-id=122384055]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384055; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384055']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384055, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f8caeb0fa4d509c6a6b9535df0288106" } } $('.js-work-strip[data-work-id=122384055]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384055,"title":"Pattern-formation mechanisms in motility mutants of Myxococcus xanthus","translated_title":"","metadata":{"abstract":"Formation of spatial patterns of cells is a recurring theme in biology and often depends on regulated cell motility. Motility of the rod-shaped cells of the bacterium Myxococcus xanthus depends on two motility machineries, type IV pili (giving rise to S-motility) and the gliding motility apparatus (giving rise to A-motility). Cell motility is regulated by occasional reversals. Moving M. xanthus cells can organize into spreading colonies or spore-filled fruiting bodies, depending on their nutritional status. To ultimately understand these two pattern-formation processes and the contributions by the two motility machineries, as well as the cell reversal machinery, we analyse spatial self-organization in three M. xanthus strains: (i) a mutant that moves unidirectionally without reversing by the A-motility system only, (ii) a unidirectional mutant that is also equipped with the S-motility system, and (iii) the wild-type that, in addition to the two motility systems, occasionally reverse...","publication_date":{"day":6,"month":1,"year":2012,"errors":{}},"publication_name":"Interface focus"},"translated_abstract":"Formation of spatial patterns of cells is a recurring theme in biology and often depends on regulated cell motility. Motility of the rod-shaped cells of the bacterium Myxococcus xanthus depends on two motility machineries, type IV pili (giving rise to S-motility) and the gliding motility apparatus (giving rise to A-motility). Cell motility is regulated by occasional reversals. Moving M. xanthus cells can organize into spreading colonies or spore-filled fruiting bodies, depending on their nutritional status. To ultimately understand these two pattern-formation processes and the contributions by the two motility machineries, as well as the cell reversal machinery, we analyse spatial self-organization in three M. xanthus strains: (i) a mutant that moves unidirectionally without reversing by the A-motility system only, (ii) a unidirectional mutant that is also equipped with the S-motility system, and (iii) the wild-type that, in addition to the two motility systems, occasionally reverse...","internal_url":"https://www.academia.edu/122384055/Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus","translated_internal_url":"","created_at":"2024-07-27T02:00:01.642-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059435,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059435/thumbnails/1.jpg","file_name":"rsfs.2012.pdf","download_url":"https://www.academia.edu/attachments/117059435/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Pattern_formation_mechanisms_in_motility.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059435/rsfs.2012-libre.pdf?1722074546=\u0026response-content-disposition=attachment%3B+filename%3DPattern_formation_mechanisms_in_motility.pdf\u0026Expires=1732464356\u0026Signature=NunXk~pY~2GDsHYUdpUit3iVBWkZ9csA2pV83W-3Kp9ihXBFLvn-fEy1rQxGNqe9sRTC1uH5UkaJUEU1VdQjBRZlx0LTyFlfCb7okEFwl4S00HVZStKW-eRyoUzYy~exaYH0u5KwLyI1zWw5uCGS8ttn6n-IZB2s5WaZf1ahKvXAp38Z10JLCE1FtSN84TOjDo7rJpa20cgEM1DdkG3gFyIv6TxZ60zKOxJPFtOPllgkh1hQEEczuzdYKBYj2wyIGTBqwsNX4Vl7N1mLKXy5CWRbd712XDLR8JjDXyOCaOlXcsYS3Dlv8Wwk~qLMf9AX5EFS1fdZHyk15eVsxtfx0w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059435,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059435/thumbnails/1.jpg","file_name":"rsfs.2012.pdf","download_url":"https://www.academia.edu/attachments/117059435/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Pattern_formation_mechanisms_in_motility.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059435/rsfs.2012-libre.pdf?1722074546=\u0026response-content-disposition=attachment%3B+filename%3DPattern_formation_mechanisms_in_motility.pdf\u0026Expires=1732464356\u0026Signature=NunXk~pY~2GDsHYUdpUit3iVBWkZ9csA2pV83W-3Kp9ihXBFLvn-fEy1rQxGNqe9sRTC1uH5UkaJUEU1VdQjBRZlx0LTyFlfCb7okEFwl4S00HVZStKW-eRyoUzYy~exaYH0u5KwLyI1zWw5uCGS8ttn6n-IZB2s5WaZf1ahKvXAp38Z10JLCE1FtSN84TOjDo7rJpa20cgEM1DdkG3gFyIv6TxZ60zKOxJPFtOPllgkh1hQEEczuzdYKBYj2wyIGTBqwsNX4Vl7N1mLKXy5CWRbd712XDLR8JjDXyOCaOlXcsYS3Dlv8Wwk~qLMf9AX5EFS1fdZHyk15eVsxtfx0w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences"},{"id":8862,"name":"Collective Motion","url":"https://www.academia.edu/Documents/in/Collective_Motion"},{"id":13827,"name":"Cell Biology","url":"https://www.academia.edu/Documents/in/Cell_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":53046,"name":"Motility","url":"https://www.academia.edu/Documents/in/Motility"},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research"},{"id":299563,"name":"Self Organization","url":"https://www.academia.edu/Documents/in/Self_Organization"},{"id":1626075,"name":"Myxococcus xanthus","url":"https://www.academia.edu/Documents/in/Myxococcus_xanthus"},{"id":3438353,"name":"Reversion","url":"https://www.academia.edu/Documents/in/Reversion"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384054"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384054/A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer"><img alt="Research paper thumbnail of A Game Theoretical Perspective on the Somatic Evolution of cancer" class="work-thumbnail" src="https://attachments.academia-assets.com/117059445/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384054/A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer">A Game Theoretical Perspective on the Somatic Evolution of cancer</a></div><div class="wp-workCard_item"><span>Selected Topics in Cancer Modeling</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a6455492672b83043de745161a5a6a8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059445,"asset_id":122384054,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059445/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384054"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384054"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384054; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384054]").text(description); $(".js-view-count[data-work-id=122384054]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384054; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384054']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384054, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5a6455492672b83043de745161a5a6a8" } } $('.js-work-strip[data-work-id=122384054]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384054,"title":"A Game Theoretical Perspective on the Somatic Evolution of cancer","translated_title":"","metadata":{"publisher":"Birkhäuser Boston","publication_name":"Selected Topics in Cancer Modeling"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384054/A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer","translated_internal_url":"","created_at":"2024-07-27T02:00:01.377-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059445,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059445/thumbnails/1.jpg","file_name":"0810.pdf","download_url":"https://www.academia.edu/attachments/117059445/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Game_Theoretical_Perspective_on_the_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059445/0810-libre.pdf?1722074558=\u0026response-content-disposition=attachment%3B+filename%3DA_Game_Theoretical_Perspective_on_the_So.pdf\u0026Expires=1732464356\u0026Signature=W~AUEKTWKPF7kCU-fBv-TXS-JB4is-xLg2yfijMpk7GmoXkrpBP31IkkFCIJxXDsj7UDHQDdTFk-yNbMm1bfgOpRCkNOkg3a2oz8bJIxw78l2D6ogW02cssqDbxd-swBpXhq1C2Ei7fvu5qNgDyyYf6jvEUPFL8pTw--nowbnAUxI3sWZYYJUBK9Y1JRsqZ0hHeqWfl5YR5BjJ-mJb0aTa8KcjTkDD2hs76yejVPIMgpruUB7y8MEjFgXNTpvJAJu2c4IEpHZdk9LLTV54gnFIKYSVbt2EaRSSA8Q5h8YCPCt2LuBlTIUTMRy85bUbtKey-7abig-R8wbBqJhfoakw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059445,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059445/thumbnails/1.jpg","file_name":"0810.pdf","download_url":"https://www.academia.edu/attachments/117059445/download_file?st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Game_Theoretical_Perspective_on_the_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059445/0810-libre.pdf?1722074558=\u0026response-content-disposition=attachment%3B+filename%3DA_Game_Theoretical_Perspective_on_the_So.pdf\u0026Expires=1732464356\u0026Signature=W~AUEKTWKPF7kCU-fBv-TXS-JB4is-xLg2yfijMpk7GmoXkrpBP31IkkFCIJxXDsj7UDHQDdTFk-yNbMm1bfgOpRCkNOkg3a2oz8bJIxw78l2D6ogW02cssqDbxd-swBpXhq1C2Ei7fvu5qNgDyyYf6jvEUPFL8pTw--nowbnAUxI3sWZYYJUBK9Y1JRsqZ0hHeqWfl5YR5BjJ-mJb0aTa8KcjTkDD2hs76yejVPIMgpruUB7y8MEjFgXNTpvJAJu2c4IEpHZdk9LLTV54gnFIKYSVbt2EaRSSA8Q5h8YCPCt2LuBlTIUTMRy85bUbtKey-7abig-R8wbBqJhfoakw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics"},{"id":757,"name":"Game Theory","url":"https://www.academia.edu/Documents/in/Game_Theory"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":213897,"name":"Phenotype","url":"https://www.academia.edu/Documents/in/Phenotype"},{"id":956026,"name":"Somatic Cell Count","url":"https://www.academia.edu/Documents/in/Somatic_Cell_Count"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384053"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384053/Mathematical_Modeling_of_Biological_Systems_Volume_II"><img alt="Research paper thumbnail of Mathematical Modeling of Biological Systems, Volume II" class="work-thumbnail" src="https://attachments.academia-assets.com/117059429/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384053/Mathematical_Modeling_of_Biological_Systems_Volume_II">Mathematical Modeling of Biological Systems, Volume II</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2aef5771a3bbb58ab1c60158416d8ffb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059429,"asset_id":122384053,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059429/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384053"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384053"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384053; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384053]").text(description); $(".js-view-count[data-work-id=122384053]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384053; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384053']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384053, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2aef5771a3bbb58ab1c60158416d8ffb" } } $('.js-work-strip[data-work-id=122384053]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384053,"title":"Mathematical Modeling of Biological Systems, Volume II","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384053/Mathematical_Modeling_of_Biological_Systems_Volume_II","translated_internal_url":"","created_at":"2024-07-27T02:00:01.224-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059429,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059429/thumbnails/1.jpg","file_name":"9780817645571_TOC.pdf","download_url":"https://www.academia.edu/attachments/117059429/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_Modeling_of_Biological_Syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059429/9780817645571_TOC-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_Modeling_of_Biological_Syst.pdf\u0026Expires=1732464356\u0026Signature=bGX0fDHvgbZMLBEBJbuhj8VhIQz7HKESa5l2hhoHCemCSKAId5CmZnbPqoyjkaLy3qEcnfHl-K9xDRUJFyOVWRn38pTXjsnVmIngmfvgnyty0m0-yT5krxa5lm59Ruek9UuCt2ScsytZPu4Gk3-qpMFiCN-9spE7t0Y08wv5qse0-uNYn5l7fvy2j8ow8EUbzhEdFtDBZO4lVzN-cVEh6~6KTgQtFMpD-y2cv8Dl1nuoiqTcqyyQayjijxVRbsApZ0fBrdXMdikYHTcNmrYZ2achJ3ASJAisAi1oM5sF4FLOkCktb11aQTypgCIRGoCl-v8EF9lBhJURkZ3WQEonrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mathematical_Modeling_of_Biological_Systems_Volume_II","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059429,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059429/thumbnails/1.jpg","file_name":"9780817645571_TOC.pdf","download_url":"https://www.academia.edu/attachments/117059429/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_Modeling_of_Biological_Syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059429/9780817645571_TOC-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_Modeling_of_Biological_Syst.pdf\u0026Expires=1732464356\u0026Signature=bGX0fDHvgbZMLBEBJbuhj8VhIQz7HKESa5l2hhoHCemCSKAId5CmZnbPqoyjkaLy3qEcnfHl-K9xDRUJFyOVWRn38pTXjsnVmIngmfvgnyty0m0-yT5krxa5lm59Ruek9UuCt2ScsytZPu4Gk3-qpMFiCN-9spE7t0Y08wv5qse0-uNYn5l7fvy2j8ow8EUbzhEdFtDBZO4lVzN-cVEh6~6KTgQtFMpD-y2cv8Dl1nuoiqTcqyyQayjijxVRbsApZ0fBrdXMdikYHTcNmrYZ2achJ3ASJAisAi1oM5sF4FLOkCktb11aQTypgCIRGoCl-v8EF9lBhJURkZ3WQEonrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":5400,"name":"Systems Biology","url":"https://www.academia.edu/Documents/in/Systems_Biology"},{"id":291387,"name":"Mathematical Model","url":"https://www.academia.edu/Documents/in/Mathematical_Model"},{"id":351461,"name":"Biological systems","url":"https://www.academia.edu/Documents/in/Biological_systems"},{"id":4551739,"name":"Mathematical and Theoretical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_and_Theoretical_Biology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384052"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384052/Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion"><img alt="Research paper thumbnail of Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective Motion" class="work-thumbnail" src="https://attachments.academia-assets.com/117059440/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384052/Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion">Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective Motion</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1997</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b35000975c7fc805b2366495128b4de6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059440,"asset_id":122384052,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059440/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384052"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384052"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384052; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384052]").text(description); $(".js-view-count[data-work-id=122384052]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384052; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384052']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384052, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b35000975c7fc805b2366495128b4de6" } } $('.js-work-strip[data-work-id=122384052]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384052,"title":"Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective Motion","translated_title":"","metadata":{"publisher":"American Physical Society (APS)","publication_date":{"day":null,"month":null,"year":1997,"errors":{}},"publication_name":"Physical Review Letters"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384052/Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion","translated_internal_url":"","created_at":"2024-07-27T02:00:00.825-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059440,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059440/thumbnails/1.jpg","file_name":"9706008.pdf","download_url":"https://www.academia.edu/attachments/117059440/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mean_Field_Analysis_of_a_Dynamical_Phase.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059440/9706008-libre.pdf?1722074545=\u0026response-content-disposition=attachment%3B+filename%3DMean_Field_Analysis_of_a_Dynamical_Phase.pdf\u0026Expires=1732464357\u0026Signature=YyzM90OeQKCkku14wRo0UAqJJFXyFx45Y6f7IdEkrF66QTu2bb8GU29G9-d9Qp4Mc~-cZugoaissT48Hrzdrw-nyCEFLf-SrexX8S~ICy4-Zmdu9y8k0OQEyoOSQOGWxeL7jieUpou41I3wT~WgoJRDXM9JknVLW92Ogn3AQhOAB3lBWLpYB86q60xyy~FB1DGzmI1SoX-~SwpFZyUQ9xxOtr0d~yxJzoxKnRuTmgOBMtzMGpMNI7ZvZWyLaI2XdpJuPVQVYwFltRZQwTqVZRI7ADT-QJRerE-TTKmrRebRTGZTB32uhKXqmbwQ6VdUgDmmQF0Rhf4gmmNXSTeLoCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059440,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059440/thumbnails/1.jpg","file_name":"9706008.pdf","download_url":"https://www.academia.edu/attachments/117059440/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mean_Field_Analysis_of_a_Dynamical_Phase.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059440/9706008-libre.pdf?1722074545=\u0026response-content-disposition=attachment%3B+filename%3DMean_Field_Analysis_of_a_Dynamical_Phase.pdf\u0026Expires=1732464357\u0026Signature=YyzM90OeQKCkku14wRo0UAqJJFXyFx45Y6f7IdEkrF66QTu2bb8GU29G9-d9Qp4Mc~-cZugoaissT48Hrzdrw-nyCEFLf-SrexX8S~ICy4-Zmdu9y8k0OQEyoOSQOGWxeL7jieUpou41I3wT~WgoJRDXM9JknVLW92Ogn3AQhOAB3lBWLpYB86q60xyy~FB1DGzmI1SoX-~SwpFZyUQ9xxOtr0d~yxJzoxKnRuTmgOBMtzMGpMNI7ZvZWyLaI2XdpJuPVQVYwFltRZQwTqVZRI7ADT-QJRerE-TTKmrRebRTGZTB32uhKXqmbwQ6VdUgDmmQF0Rhf4gmmNXSTeLoCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":8862,"name":"Collective Motion","url":"https://www.academia.edu/Documents/in/Collective_Motion"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":151145,"name":"Dispersion Relation","url":"https://www.academia.edu/Documents/in/Dispersion_Relation"},{"id":173963,"name":"Phase transition","url":"https://www.academia.edu/Documents/in/Phase_transition"},{"id":310719,"name":"Local Alignment","url":"https://www.academia.edu/Documents/in/Local_Alignment"},{"id":1151194,"name":"Mean Field Theory","url":"https://www.academia.edu/Documents/in/Mean_Field_Theory"},{"id":1202082,"name":"Critical Parameter","url":"https://www.academia.edu/Documents/in/Critical_Parameter"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"},{"id":4108054,"name":"phase diagram","url":"https://www.academia.edu/Documents/in/phase_diagram"}],"urls":[{"id":43705342,"url":"http://link.aps.org/article/10.1103/PhysRevLett.78.5018"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384051"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384051/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions"><img alt="Research paper thumbnail of Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions" class="work-thumbnail" src="https://attachments.academia-assets.com/117215407/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384051/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions">Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69b6fd56dc9fe5f901f72f387be7ed55" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117215407,"asset_id":122384051,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117215407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384051"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384051"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384051; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384051]").text(description); $(".js-view-count[data-work-id=122384051]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384051; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384051']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384051, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "69b6fd56dc9fe5f901f72f387be7ed55" } } $('.js-work-strip[data-work-id=122384051]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384051,"title":"Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions","translated_title":"","metadata":{"publisher":"American Physical Society (APS)","publication_date":{"day":null,"month":null,"year":2002,"errors":{}},"publication_name":"Physical Review Letters"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384051/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_internal_url":"","created_at":"2024-07-27T02:00:00.529-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117215407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215407/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117215407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215407/0107039-libre.pdf?1722803714=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464357\u0026Signature=J3ahHD58HyJFEhQYVMETT01nt3FY7WQqAYUL3bbDocoEdFwwl01gBRLaBJpV2m9~7P-po0U91eSDQnvZsz78UBoys9mIftcMc7I1eqv2dKCtplu2eLNHmRVkN06tvNR3pNrQdZ036K~Z4E8J7BviHurU80-u3qsitV~re9JpmvAQQzfRPFJIhNDRMrVHcjEFIknu7lz2QC30zzeUEOA7dkKwMLF7w-zAabWU~~ZvSFPdk42qWXUujJX3BQDajOQDmdXIJtPlCFO~kjtpIQbGHWP1sZjsbHfYqzKTHkkSrVQNDNytCDLkk80VxwSsD6H~G742S3w3y0EXeplYqh1XbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117215407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215407/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117215407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215407/0107039-libre.pdf?1722803714=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464357\u0026Signature=J3ahHD58HyJFEhQYVMETT01nt3FY7WQqAYUL3bbDocoEdFwwl01gBRLaBJpV2m9~7P-po0U91eSDQnvZsz78UBoys9mIftcMc7I1eqv2dKCtplu2eLNHmRVkN06tvNR3pNrQdZ036K~Z4E8J7BviHurU80-u3qsitV~re9JpmvAQQzfRPFJIhNDRMrVHcjEFIknu7lz2QC30zzeUEOA7dkKwMLF7w-zAabWU~~ZvSFPdk42qWXUujJX3BQDajOQDmdXIJtPlCFO~kjtpIQbGHWP1sZjsbHfYqzKTHkkSrVQNDNytCDLkk80VxwSsD6H~G742S3w3y0EXeplYqh1XbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":185,"name":"Collective Behavior","url":"https://www.academia.edu/Documents/in/Collective_Behavior"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8383,"name":"Pattern Formation","url":"https://www.academia.edu/Documents/in/Pattern_Formation"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":235046,"name":"Single Cell","url":"https://www.academia.edu/Documents/in/Single_Cell"},{"id":513697,"name":"Ripple","url":"https://www.academia.edu/Documents/in/Ripple"},{"id":613465,"name":"Statistical models","url":"https://www.academia.edu/Documents/in/Statistical_models"},{"id":910910,"name":"Myxobacteria","url":"https://www.academia.edu/Documents/in/Myxobacteria"},{"id":2756523,"name":"discrete model","url":"https://www.academia.edu/Documents/in/discrete_model"},{"id":3646021,"name":"Standing Wave","url":"https://www.academia.edu/Documents/in/Standing_Wave"}],"urls":[{"id":43705341,"url":"http://link.aps.org/article/10.1103/PhysRevLett.89.078101"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="16714574" id="papers"><div class="js-work-strip profile--work_container" data-work-id="124691712"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124691712/Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkh%C3%A4user_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95"><img alt="Research paper thumbnail of Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: $89.95" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124691712/Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkh%C3%A4user_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95">Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: $89.95</a></div><div class="wp-workCard_item"><span>Genetic Programming and Evolvable Machines</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Without Abstract</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124691712"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124691712"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124691712; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124691712]").text(description); $(".js-view-count[data-work-id=124691712]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124691712; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124691712']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124691712, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124691712]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124691712,"title":"Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhäuser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: $89.95","translated_title":"","metadata":{"abstract":"Without Abstract","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"Genetic Programming and Evolvable Machines"},"translated_abstract":"Without Abstract","internal_url":"https://www.academia.edu/124691712/Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkh%C3%A4user_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95","translated_internal_url":"","created_at":"2024-10-13T14:19:25.248-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Cellular_Automaton_Modeling_of_Biological_Pattern_Formation_Characterization_Applications_and_Analysis_Authors_Andreas_Deutsch_and_Sabine_Dormann_Birkhäuser_2005_XXVI_334_p_131_illus_Hardcover_ISBN_0_8176_4281_1_List_Price_89_95","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology"},{"id":8383,"name":"Pattern Formation","url":"https://www.academia.edu/Documents/in/Pattern_Formation"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"}],"urls":[{"id":45133170,"url":"http://link.springer.com/content/pdf/10.1007/s10710-006-9021-7.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384070"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384070/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions"><img alt="Research paper thumbnail of Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions" class="work-thumbnail" src="https://attachments.academia-assets.com/117059414/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384070/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions">Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, Jul 26, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7bcbac854bcc35a2b277225670cd049a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059414,"asset_id":122384070,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059414/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384070"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384070"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384070; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384070]").text(description); $(".js-view-count[data-work-id=122384070]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384070; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384070']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384070, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7bcbac854bcc35a2b277225670cd049a" } } $('.js-work-strip[data-work-id=122384070]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384070,"title":"Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions","translated_title":"","metadata":{"publisher":"American Physical Society","publication_date":{"day":26,"month":7,"year":2002,"errors":{}},"publication_name":"Physical Review Letters"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384070/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_internal_url":"","created_at":"2024-07-27T02:00:05.424-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059414/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117059414/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059414/0107039-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464354\u0026Signature=Uzjzxb1dRF7meKG6nuFPOCACts9ZLtmSQS0TQnIBfCrP4RBYRYmaBxKWeOkEhLCMBagVLj-eIL-94vgoJ60PIMhmjfxGLNU6~18kvjLvuWHTrZxwixeAKXmoRM7IYMaN-3SL0FhabXFsE-0IDa1V-9DQYc4za-76KJJgs7fHct493epCjbwfcQJU3-q-9-V5delXpNcjAfRqi8LGr6wSDoLeKgZj9NXu3DdWceTKKSlZBrH7yhV26wH6uh3q3KeBYsg3oU2jE3vRYvIeRxCiEjhcCLK3X-DdbmETFU7J484CjS39WCzpRFjOZQ-jO2Ms2BGl1KR-2-N-PYfvg5eRFQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059414/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117059414/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059414/0107039-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464354\u0026Signature=Uzjzxb1dRF7meKG6nuFPOCACts9ZLtmSQS0TQnIBfCrP4RBYRYmaBxKWeOkEhLCMBagVLj-eIL-94vgoJ60PIMhmjfxGLNU6~18kvjLvuWHTrZxwixeAKXmoRM7IYMaN-3SL0FhabXFsE-0IDa1V-9DQYc4za-76KJJgs7fHct493epCjbwfcQJU3-q-9-V5delXpNcjAfRqi8LGr6wSDoLeKgZj9NXu3DdWceTKKSlZBrH7yhV26wH6uh3q3KeBYsg3oU2jE3vRYvIeRxCiEjhcCLK3X-DdbmETFU7J484CjS39WCzpRFjOZQ-jO2Ms2BGl1KR-2-N-PYfvg5eRFQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059413,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059413/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117059413/download_file","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059413/0107039-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464354\u0026Signature=hEW4q5y~~OcdQ3Ugj2Wh1pOhDQYiDQJJXk00FC0o6rG0TZbeV0bi8GTp2iez7BLsoxKNWfCGixnwJcrnIdTG58Q3rbSjkH8abxr897dWHK5lAky7iivI9cnZLP3~YOeTnZUeZN-qpTwG3LnJU9CFllBIVUcGxnS8l5K7juObn34RsIgKoOK0X~nprya-pTiFJ1zxj3iCKYoTTTGGwaWzfGmv92cgbdLIITHIdsQK-jaWssgtfYN9HWXxu0EJfRpxVNX~bVLWTV8P8-KrR3hUi7d7TOoGIrqKzVBEYUj~MTKXO5TyX7YbHjFY0kKKrqavPmeay2n0-un2GG7pWFqSew__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":185,"name":"Collective Behavior","url":"https://www.academia.edu/Documents/in/Collective_Behavior"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8383,"name":"Pattern Formation","url":"https://www.academia.edu/Documents/in/Pattern_Formation"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":235046,"name":"Single Cell","url":"https://www.academia.edu/Documents/in/Single_Cell"},{"id":513697,"name":"Ripple","url":"https://www.academia.edu/Documents/in/Ripple"},{"id":613465,"name":"Statistical models","url":"https://www.academia.edu/Documents/in/Statistical_models"},{"id":910910,"name":"Myxobacteria","url":"https://www.academia.edu/Documents/in/Myxobacteria"},{"id":2756523,"name":"discrete model","url":"https://www.academia.edu/Documents/in/discrete_model"},{"id":3646021,"name":"Standing Wave","url":"https://www.academia.edu/Documents/in/Standing_Wave"}],"urls":[{"id":43705352,"url":"http://arxiv.org/pdf/physics/0107039"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384069"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384069/Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning"><img alt="Research paper thumbnail of Extracellular matrix guidance determines proteolytic and non-proteolytic cancer cell patterning" class="work-thumbnail" src="https://attachments.academia-assets.com/117059447/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384069/Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning">Extracellular matrix guidance determines proteolytic and non-proteolytic cancer cell patterning</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that respond...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to tissue cues and further involves proteolytic remodeling of the tumor stroma. How matrix density, tissue guidance and the ability of proteolytic tissue remodeling cooperate and determine decision-making of invading tumor cells in complex-structured three-dimensional (3D) tissue remains unclear. We here developed a collagen-based invasion assay containing a guiding interface of low collagen density adjacent to randomly organized 3D fibrillar lattice and examined the invasion of melanoma cells from multicellular spheroids in response to matrix density, guidance cues and collagenolysis. After 48 hours of culture, two invasion niches developed, (i) sheet-like collective migration along the interface and (ii) single cell- and strand-like invasion into randomly organized 3D matrix. High collagen density impeded migration into the random matrix, whereas migration along a high-density collag...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f608e534143aaebd8749f56a5356046a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059447,"asset_id":122384069,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059447/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384069"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384069"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384069; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384069]").text(description); $(".js-view-count[data-work-id=122384069]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384069; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384069']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384069, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f608e534143aaebd8749f56a5356046a" } } $('.js-work-strip[data-work-id=122384069]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384069,"title":"Extracellular matrix guidance determines proteolytic and non-proteolytic cancer cell patterning","translated_title":"","metadata":{"abstract":"Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to tissue cues and further involves proteolytic remodeling of the tumor stroma. How matrix density, tissue guidance and the ability of proteolytic tissue remodeling cooperate and determine decision-making of invading tumor cells in complex-structured three-dimensional (3D) tissue remains unclear. We here developed a collagen-based invasion assay containing a guiding interface of low collagen density adjacent to randomly organized 3D fibrillar lattice and examined the invasion of melanoma cells from multicellular spheroids in response to matrix density, guidance cues and collagenolysis. After 48 hours of culture, two invasion niches developed, (i) sheet-like collective migration along the interface and (ii) single cell- and strand-like invasion into randomly organized 3D matrix. High collagen density impeded migration into the random matrix, whereas migration along a high-density collag...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2022,"errors":{}}},"translated_abstract":"Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to tissue cues and further involves proteolytic remodeling of the tumor stroma. How matrix density, tissue guidance and the ability of proteolytic tissue remodeling cooperate and determine decision-making of invading tumor cells in complex-structured three-dimensional (3D) tissue remains unclear. We here developed a collagen-based invasion assay containing a guiding interface of low collagen density adjacent to randomly organized 3D fibrillar lattice and examined the invasion of melanoma cells from multicellular spheroids in response to matrix density, guidance cues and collagenolysis. After 48 hours of culture, two invasion niches developed, (i) sheet-like collective migration along the interface and (ii) single cell- and strand-like invasion into randomly organized 3D matrix. High collagen density impeded migration into the random matrix, whereas migration along a high-density collag...","internal_url":"https://www.academia.edu/122384069/Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning","translated_internal_url":"","created_at":"2024-07-27T02:00:05.133-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059447,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059447/thumbnails/1.jpg","file_name":"2022.03.16.484647.full.pdf","download_url":"https://www.academia.edu/attachments/117059447/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extracellular_matrix_guidance_determines.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059447/2022.03.16.484647.full-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DExtracellular_matrix_guidance_determines.pdf\u0026Expires=1732464355\u0026Signature=WlWG987nrailiz0cqMPE9wA4rKOQ6VUM~qX1C3sk~0ilsB-dVkDkz3RbcfGjF5yRrlQU3vLo0Bwxs0eg27CyTELQgWBu-V~9ykFkGvbGZcRJhUlaSMifI8-dI1wSJ-yZ7lIdW9MVyyib4BHr2ZQtp1yBublKIrApups4tpMB6aDtaJm4jU3IvnvnlkTd9Mg0HfKghMgifJl~aFITX-LplB6MG1Rq7pnXBuUXMOi8kYFSM0uZPDvs6SMEsDCaz4O-GrmaOghS0ef50CL8zbp~CDnU7oJ5DqJ55n1W~kFsZxdhhDzlrX4zW4fcxy1S262brZofyNOpOoDl7PRBjDJPHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Extracellular_matrix_guidance_determines_proteolytic_and_non_proteolytic_cancer_cell_patterning","translated_slug":"","page_count":21,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059447,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059447/thumbnails/1.jpg","file_name":"2022.03.16.484647.full.pdf","download_url":"https://www.academia.edu/attachments/117059447/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extracellular_matrix_guidance_determines.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059447/2022.03.16.484647.full-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DExtracellular_matrix_guidance_determines.pdf\u0026Expires=1732464355\u0026Signature=WlWG987nrailiz0cqMPE9wA4rKOQ6VUM~qX1C3sk~0ilsB-dVkDkz3RbcfGjF5yRrlQU3vLo0Bwxs0eg27CyTELQgWBu-V~9ykFkGvbGZcRJhUlaSMifI8-dI1wSJ-yZ7lIdW9MVyyib4BHr2ZQtp1yBublKIrApups4tpMB6aDtaJm4jU3IvnvnlkTd9Mg0HfKghMgifJl~aFITX-LplB6MG1Rq7pnXBuUXMOi8kYFSM0uZPDvs6SMEsDCaz4O-GrmaOghS0ef50CL8zbp~CDnU7oJ5DqJ55n1W~kFsZxdhhDzlrX4zW4fcxy1S262brZofyNOpOoDl7PRBjDJPHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8863,"name":"Cell Migration","url":"https://www.academia.edu/Documents/in/Cell_Migration"},{"id":13827,"name":"Cell Biology","url":"https://www.academia.edu/Documents/in/Cell_Biology"},{"id":29149,"name":"Extracellular Matrix","url":"https://www.academia.edu/Documents/in/Extracellular_Matrix"},{"id":1920779,"name":"Matrix Metalloproteinase","url":"https://www.academia.edu/Documents/in/Matrix_Metalloproteinase"}],"urls":[{"id":43705351,"url":"https://syndication.highwire.org/content/doi/10.1101/2022.03.16.484647"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384068"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384068/European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications"><img alt="Research paper thumbnail of European Communications in Mathematical and Theoretical Biology February 2008 , No . 10 E MTB Communications" class="work-thumbnail" src="https://attachments.academia-assets.com/117059407/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384068/European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications">European Communications in Mathematical and Theoretical Biology February 2008 , No . 10 E MTB Communications</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age duri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age during the last few years. The launch of a new and dedicated journal, with an associated</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8d3b362bf521efed1d6b3351d02a7539" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059407,"asset_id":122384068,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384068"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384068"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384068; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384068]").text(description); $(".js-view-count[data-work-id=122384068]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384068; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384068']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384068, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8d3b362bf521efed1d6b3351d02a7539" } } $('.js-work-strip[data-work-id=122384068]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384068,"title":"European Communications in Mathematical and Theoretical Biology February 2008 , No . 10 E MTB Communications","translated_title":"","metadata":{"abstract":"submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age during the last few years. The launch of a new and dedicated journal, with an associated","publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":"submission deadline: April 30, 2008 The field of infectious disease dynamics has come of age during the last few years. The launch of a new and dedicated journal, with an associated","internal_url":"https://www.academia.edu/122384068/European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications","translated_internal_url":"","created_at":"2024-07-27T02:00:04.863-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059407/thumbnails/1.jpg","file_name":"ecmtb10.pdf","download_url":"https://www.academia.edu/attachments/117059407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"European_Communications_in_Mathematical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059407/ecmtb10-libre.pdf?1722074569=\u0026response-content-disposition=attachment%3B+filename%3DEuropean_Communications_in_Mathematical.pdf\u0026Expires=1732464355\u0026Signature=NFkBaeP3oIgF0vYseIaq1ZeZpaDIn~OLQ4mZaqbYfAKKyR48O98JBZvOYIa6H5CBIcOBzTaJh~6jSsGrXPvVkVv6Iwt2TLqxZh8mdFrM8pShyu82kkuqL7yEH71oX~NJGQT0~DN46kagNwDboyafiQT0Wlw-M7-4Qrz~QZGy1LoUR7tfTq2NnQ1tOO4NbxzIW105tiKj4DY4mc6-blIy2l-16sIW082Nc3bcxZfTD~Iy4AD8gEqxZ0JXybOeAqVOe6uPZAnpRFoDEEg4qaLQeVT4kuu4XfL4vTSJkT7SyIrxAa8i6RMZeaEsoN8Vqm-l~82xRSn-aSAiOH-40ZCtpQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"European_Communications_in_Mathematical_and_Theoretical_Biology_February_2008_No_10_E_MTB_Communications","translated_slug":"","page_count":42,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059407/thumbnails/1.jpg","file_name":"ecmtb10.pdf","download_url":"https://www.academia.edu/attachments/117059407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"European_Communications_in_Mathematical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059407/ecmtb10-libre.pdf?1722074569=\u0026response-content-disposition=attachment%3B+filename%3DEuropean_Communications_in_Mathematical.pdf\u0026Expires=1732464355\u0026Signature=NFkBaeP3oIgF0vYseIaq1ZeZpaDIn~OLQ4mZaqbYfAKKyR48O98JBZvOYIa6H5CBIcOBzTaJh~6jSsGrXPvVkVv6Iwt2TLqxZh8mdFrM8pShyu82kkuqL7yEH71oX~NJGQT0~DN46kagNwDboyafiQT0Wlw-M7-4Qrz~QZGy1LoUR7tfTq2NnQ1tOO4NbxzIW105tiKj4DY4mc6-blIy2l-16sIW082Nc3bcxZfTD~Iy4AD8gEqxZ0JXybOeAqVOe6uPZAnpRFoDEEg4qaLQeVT4kuu4XfL4vTSJkT7SyIrxAa8i6RMZeaEsoN8Vqm-l~82xRSn-aSAiOH-40ZCtpQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":43705350,"url":"https://esmtb.org/resources/Documents/ecmtb10.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384067"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384067/Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs"><img alt="Research paper thumbnail of Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs" class="work-thumbnail" src="https://attachments.academia-assets.com/117059412/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384067/Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs">Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs</a></div><div class="wp-workCard_item"><span>Cancers</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that dev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that develop towards secondary glioblastomas over time. However, only little is known about molecular alterations that drive this progression. We measured multi-omics profiles of patient-matched astrocytoma pairs of initial and recurrent tumors from 22 patients to identify molecular alterations associated with tumor progression. Gene copy number profiles formed three major subcluters, but more than half of the patient-matched astrocytoma pairs differed in their gene copy number profiles like astrocytomas from different patients. Chromosome 10 deletions were not observed for diffuse astrocytomas, but occurred in corresponding recurrent tumors. Gene expression profiles formed three other major subclusters and patient-matched expression profiles were much more heterogeneous than their copy number profiles. Still, recurrent tumors showed a strong tendency to switch to the mesenchymal subtype. The di...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a740645919a99bbcaea25f37cc637b0a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059412,"asset_id":122384067,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059412/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384067"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384067"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384067; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384067]").text(description); $(".js-view-count[data-work-id=122384067]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384067; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384067']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384067, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a740645919a99bbcaea25f37cc637b0a" } } $('.js-work-strip[data-work-id=122384067]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384067,"title":"Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs","translated_title":"","metadata":{"abstract":"Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that develop towards secondary glioblastomas over time. However, only little is known about molecular alterations that drive this progression. We measured multi-omics profiles of patient-matched astrocytoma pairs of initial and recurrent tumors from 22 patients to identify molecular alterations associated with tumor progression. Gene copy number profiles formed three major subcluters, but more than half of the patient-matched astrocytoma pairs differed in their gene copy number profiles like astrocytomas from different patients. Chromosome 10 deletions were not observed for diffuse astrocytomas, but occurred in corresponding recurrent tumors. Gene expression profiles formed three other major subclusters and patient-matched expression profiles were much more heterogeneous than their copy number profiles. Still, recurrent tumors showed a strong tendency to switch to the mesenchymal subtype. The di...","publisher":"MDPI AG","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Cancers"},"translated_abstract":"Astrocytomas are primary human brain tumors including diffuse or anaplastic astrocytomas that develop towards secondary glioblastomas over time. However, only little is known about molecular alterations that drive this progression. We measured multi-omics profiles of patient-matched astrocytoma pairs of initial and recurrent tumors from 22 patients to identify molecular alterations associated with tumor progression. Gene copy number profiles formed three major subcluters, but more than half of the patient-matched astrocytoma pairs differed in their gene copy number profiles like astrocytomas from different patients. Chromosome 10 deletions were not observed for diffuse astrocytomas, but occurred in corresponding recurrent tumors. Gene expression profiles formed three other major subclusters and patient-matched expression profiles were much more heterogeneous than their copy number profiles. Still, recurrent tumors showed a strong tendency to switch to the mesenchymal subtype. The di...","internal_url":"https://www.academia.edu/122384067/Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs","translated_internal_url":"","created_at":"2024-07-27T02:00:04.572-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059412,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059412/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117059412/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_Characterization_of_Astrocytom.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059412/pdf-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_Characterization_of_Astrocytom.pdf\u0026Expires=1732464355\u0026Signature=ElNgd9AKvzbzWz8m5HN195XDUE22LxT7jXYbDFixg0F1w-6PPnJ-bVSvizCmBqQnm9dN2l0TFtCn6NnDO6d12oNpYaqlWjLyFlLbH~EXBdh2yAVncCjz5vzy4tCybuw1j03rfU37kxy2ly8iVGhwgMoMdcxH9ENwLqg3c1Q7peRTpemfqhkZ-t-Gfpo3wGWDMYRB~UnJZT~CLvDEutxW5PJtt48IiyYMGwzlcIKhd6zYC74iF1aXdmzTP~XPI30n0-F3KlSR-JlkngyPPB7ILynAJnyL1PZmAEQTyukdIeaE2gc6W0pxtCeSMOESb6ogITNZLnybHkSOG~x~EHRihA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Molecular_Characterization_of_Astrocytoma_Progression_Towards_Secondary_Glioblastomas_Utilizing_Patient_Matched_Tumor_Pairs","translated_slug":"","page_count":27,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059412,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059412/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117059412/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_Characterization_of_Astrocytom.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059412/pdf-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_Characterization_of_Astrocytom.pdf\u0026Expires=1732464355\u0026Signature=ElNgd9AKvzbzWz8m5HN195XDUE22LxT7jXYbDFixg0F1w-6PPnJ-bVSvizCmBqQnm9dN2l0TFtCn6NnDO6d12oNpYaqlWjLyFlLbH~EXBdh2yAVncCjz5vzy4tCybuw1j03rfU37kxy2ly8iVGhwgMoMdcxH9ENwLqg3c1Q7peRTpemfqhkZ-t-Gfpo3wGWDMYRB~UnJZT~CLvDEutxW5PJtt48IiyYMGwzlcIKhd6zYC74iF1aXdmzTP~XPI30n0-F3KlSR-JlkngyPPB7ILynAJnyL1PZmAEQTyukdIeaE2gc6W0pxtCeSMOESb6ogITNZLnybHkSOG~x~EHRihA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059415,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059415/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117059415/download_file","bulk_download_file_name":"Molecular_Characterization_of_Astrocytom.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059415/pdf-libre.pdf?1722074559=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_Characterization_of_Astrocytom.pdf\u0026Expires=1732464355\u0026Signature=ehP-ys8fbbO2YFw8jcf1TEBrkqqH8BUAB48mMD8eN~erNNEBGot~3WjXNs6IGBwRCceBSlf9uKoOc4ZwUNKWv5sTUH3ka3T~PrOLI~ug0jtevblUEcffNuKmwGsga5va3bczpywmbwxM4Uf64e7M6gQGIqMTzWGGikgHICn-bzmHhZ1mAg9ZeZ9vfGE7rWbHY~e3pPIje3NU~wI7z5B5qcAekRnpkYI3Hg-S6sVrwihH9GOGBtVEltEtcfivqKw7UAI6Dp5X~oupKJEv8PCjAfPsfG68JyDvshTipI51ElZluFLopW1seWv1W0q2fd~7KpGcx5zVWEHRV1sQ9RZtmw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":22255,"name":"Cancer Research","url":"https://www.academia.edu/Documents/in/Cancer_Research"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":615462,"name":"IDH","url":"https://www.academia.edu/Documents/in/IDH"},{"id":859051,"name":"Astrocytoma","url":"https://www.academia.edu/Documents/in/Astrocytoma"},{"id":1010893,"name":"Cancers","url":"https://www.academia.edu/Documents/in/Cancers"},{"id":1579513,"name":"Tumor Progression","url":"https://www.academia.edu/Documents/in/Tumor_Progression"}],"urls":[{"id":43705349,"url":"https://www.mdpi.com/2072-6694/12/6/1696/pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384066"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384066/Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches"><img alt="Research paper thumbnail of Patterns of tumor progression predict small and tissue-specific tumor-originating niches" class="work-thumbnail" src="https://attachments.academia-assets.com/117059443/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384066/Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches">Patterns of tumor progression predict small and tissue-specific tumor-originating niches</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cancer development is a multistep process in which cells increase in malignancy through progressi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cancer development is a multistep process in which cells increase in malignancy through progressive alterations. The early phase of this process is hardly observable which aggravates an understanding of later tumor development. We shed light on this initial phase with a cell-based stochastic model calibrated with epidemiological data from the tissue scale. Our model allows to estimate the number of tumor cells needed for tumor formation in human tissues based on data on the diagnosed ratios of benign and malignant tumors. We find that the minimal number of cells needed for tumor formation is surprisingly small and largely depends on the tissue type. Our results point towards the existence of tumor-originating niches in which the fate of tumor development is early decided. Our estimate for the human colon agrees well with the size of the stem cell niche in colonic crypts. Our estimates might help to identify the tumor-originating cell type, e.g. our analysis suggests for glioblastoma...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="439813f362bb5dba5f744507127dd0bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059443,"asset_id":122384066,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059443/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384066"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384066"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384066; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384066]").text(description); $(".js-view-count[data-work-id=122384066]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384066; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384066']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384066, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "439813f362bb5dba5f744507127dd0bf" } } $('.js-work-strip[data-work-id=122384066]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384066,"title":"Patterns of tumor progression predict small and tissue-specific tumor-originating niches","translated_title":"","metadata":{"abstract":"Cancer development is a multistep process in which cells increase in malignancy through progressive alterations. The early phase of this process is hardly observable which aggravates an understanding of later tumor development. We shed light on this initial phase with a cell-based stochastic model calibrated with epidemiological data from the tissue scale. Our model allows to estimate the number of tumor cells needed for tumor formation in human tissues based on data on the diagnosed ratios of benign and malignant tumors. We find that the minimal number of cells needed for tumor formation is surprisingly small and largely depends on the tissue type. Our results point towards the existence of tumor-originating niches in which the fate of tumor development is early decided. Our estimate for the human colon agrees well with the size of the stem cell niche in colonic crypts. Our estimates might help to identify the tumor-originating cell type, e.g. our analysis suggests for glioblastoma...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2018,"errors":{}}},"translated_abstract":"Cancer development is a multistep process in which cells increase in malignancy through progressive alterations. The early phase of this process is hardly observable which aggravates an understanding of later tumor development. We shed light on this initial phase with a cell-based stochastic model calibrated with epidemiological data from the tissue scale. Our model allows to estimate the number of tumor cells needed for tumor formation in human tissues based on data on the diagnosed ratios of benign and malignant tumors. We find that the minimal number of cells needed for tumor formation is surprisingly small and largely depends on the tissue type. Our results point towards the existence of tumor-originating niches in which the fate of tumor development is early decided. Our estimate for the human colon agrees well with the size of the stem cell niche in colonic crypts. Our estimates might help to identify the tumor-originating cell type, e.g. our analysis suggests for glioblastoma...","internal_url":"https://www.academia.edu/122384066/Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches","translated_internal_url":"","created_at":"2024-07-27T02:00:04.231-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059443,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059443/thumbnails/1.jpg","file_name":"330175.full.pdf","download_url":"https://www.academia.edu/attachments/117059443/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Patterns_of_tumor_progression_predict_sm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059443/330175.full-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DPatterns_of_tumor_progression_predict_sm.pdf\u0026Expires=1732464355\u0026Signature=EsOaN1MftI0zpVFh7J6iufjXXmoUHmbDCT5Ih9W9rz-6EQbWP84u7WrFAffmJnoD4RzXLgWuyDlBSiUwrhZdGLTeVvLItI86Hg0~PVp5oUaLG5WC4cflJBCUaVU4VXnNkvvcwUKeEHrpUeyi-UWkz~qtYDYrhR24A-P3ZmGExmC8NZbZSm0AkbGa~M3tuOHt-Cz9kAkIQrwkkqp~POAbCEub21qS~YFSR6mk2-fKbDtH8m5lrioiTTef9WMoukWVm5-TNANcV0gJiyF5H9vRNTnWt1eQDDie6ILM2XBhE6gGAer21j5v3hKTgjh3-yZhmj5mmwFx7a54KAh6GDiDeQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Patterns_of_tumor_progression_predict_small_and_tissue_specific_tumor_originating_niches","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059443,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059443/thumbnails/1.jpg","file_name":"330175.full.pdf","download_url":"https://www.academia.edu/attachments/117059443/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Patterns_of_tumor_progression_predict_sm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059443/330175.full-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DPatterns_of_tumor_progression_predict_sm.pdf\u0026Expires=1732464355\u0026Signature=EsOaN1MftI0zpVFh7J6iufjXXmoUHmbDCT5Ih9W9rz-6EQbWP84u7WrFAffmJnoD4RzXLgWuyDlBSiUwrhZdGLTeVvLItI86Hg0~PVp5oUaLG5WC4cflJBCUaVU4VXnNkvvcwUKeEHrpUeyi-UWkz~qtYDYrhR24A-P3ZmGExmC8NZbZSm0AkbGa~M3tuOHt-Cz9kAkIQrwkkqp~POAbCEub21qS~YFSR6mk2-fKbDtH8m5lrioiTTef9WMoukWVm5-TNANcV0gJiyF5H9vRNTnWt1eQDDie6ILM2XBhE6gGAer21j5v3hKTgjh3-yZhmj5mmwFx7a54KAh6GDiDeQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":729299,"name":"Niche","url":"https://www.academia.edu/Documents/in/Niche"},{"id":1579513,"name":"Tumor Progression","url":"https://www.academia.edu/Documents/in/Tumor_Progression"},{"id":2756159,"name":"Malignancy","url":"https://www.academia.edu/Documents/in/Malignancy"}],"urls":[{"id":43705348,"url":"https://syndication.highwire.org/content/doi/10.1101/330175"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384065"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384065/Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment"><img alt="Research paper thumbnail of Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment" class="work-thumbnail" src="https://attachments.academia-assets.com/117059409/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384065/Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment">Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment</a></div><div class="wp-workCard_item"><span>Nature Communications</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance have been challenged in brain tumors. Here we report that cells expressing CSC-associated cell membrane markers in Glioblastoma (GBM) do not represent a clonal entity defined by distinct functional properties and transcriptomic profiles, but rather a plastic state that most cancer cells can adopt. We show that phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and is predictable by mathematical modeling. Although functional stem cell properties were similar in vitro, accelerated reconstitution of heterogeneity provides a growth advantage in vivo, suggesting that tumorigenic potential is linked to intrinsic plasticity rather than CSC multipotency. The capacity of any given cancer cell to reconstitute tumor heterogeneity cautions against therapies targeting CSC-associated membrane epitopes. Instead inherent cancer cell pl...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3d77fe2231aaef5aba39257b18e7204" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059409,"asset_id":122384065,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059409/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384065"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384065"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384065; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384065]").text(description); $(".js-view-count[data-work-id=122384065]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384065; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384065']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384065, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3d77fe2231aaef5aba39257b18e7204" } } $('.js-work-strip[data-work-id=122384065]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384065,"title":"Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment","translated_title":"","metadata":{"abstract":"The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance have been challenged in brain tumors. Here we report that cells expressing CSC-associated cell membrane markers in Glioblastoma (GBM) do not represent a clonal entity defined by distinct functional properties and transcriptomic profiles, but rather a plastic state that most cancer cells can adopt. We show that phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and is predictable by mathematical modeling. Although functional stem cell properties were similar in vitro, accelerated reconstitution of heterogeneity provides a growth advantage in vivo, suggesting that tumorigenic potential is linked to intrinsic plasticity rather than CSC multipotency. The capacity of any given cancer cell to reconstitute tumor heterogeneity cautions against therapies targeting CSC-associated membrane epitopes. Instead inherent cancer cell pl...","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Nature Communications"},"translated_abstract":"The identity and unique capacity of cancer stem cells (CSC) to drive tumor growth and resistance have been challenged in brain tumors. Here we report that cells expressing CSC-associated cell membrane markers in Glioblastoma (GBM) do not represent a clonal entity defined by distinct functional properties and transcriptomic profiles, but rather a plastic state that most cancer cells can adopt. We show that phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and is predictable by mathematical modeling. Although functional stem cell properties were similar in vitro, accelerated reconstitution of heterogeneity provides a growth advantage in vivo, suggesting that tumorigenic potential is linked to intrinsic plasticity rather than CSC multipotency. The capacity of any given cancer cell to reconstitute tumor heterogeneity cautions against therapies targeting CSC-associated membrane epitopes. Instead inherent cancer cell pl...","internal_url":"https://www.academia.edu/122384065/Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment","translated_internal_url":"","created_at":"2024-07-27T02:00:03.960-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059409,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059409/thumbnails/1.jpg","file_name":"s41467-019-09853-z.pdf","download_url":"https://www.academia.edu/attachments/117059409/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stem_cell_associated_heterogeneity_in_Gl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059409/s41467-019-09853-z-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DStem_cell_associated_heterogeneity_in_Gl.pdf\u0026Expires=1732464355\u0026Signature=fxbfp8mrncP0C15HP4UWQ-7W~xzuhhXHdXuplx1bajHRPujkpezWlgct8gWBgRQD8C0dTwFl6sJFDztfE41swf3VptCyUvJRGB9IjxMo8FYuCoXl8Rozc92VG9CB~FEL~MepC53FN0r83iBUxPkJ7EPf8CuauQRF8wVUrQYPb38kAaQIwdIgXhQ7-8WVGu9mGLs6Z6AOTYXjXMasZAYTDhN8-CiWzxxcHWIJ-sv1pqAM2GZJUtrvO6oj9BRWDA6xFbaAbPASHYgBy4VRvEcxs-XE5UXcRlmKoW6LTzmt~JrSj1AtL9GIXSMXMUTdgHGO-5WkblfRFIeVuHDmQ~FSbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Stem_cell_associated_heterogeneity_in_Glioblastoma_results_from_intrinsic_tumor_plasticity_shaped_by_the_microenvironment","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059409,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059409/thumbnails/1.jpg","file_name":"s41467-019-09853-z.pdf","download_url":"https://www.academia.edu/attachments/117059409/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stem_cell_associated_heterogeneity_in_Gl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059409/s41467-019-09853-z-libre.pdf?1722074563=\u0026response-content-disposition=attachment%3B+filename%3DStem_cell_associated_heterogeneity_in_Gl.pdf\u0026Expires=1732464355\u0026Signature=fxbfp8mrncP0C15HP4UWQ-7W~xzuhhXHdXuplx1bajHRPujkpezWlgct8gWBgRQD8C0dTwFl6sJFDztfE41swf3VptCyUvJRGB9IjxMo8FYuCoXl8Rozc92VG9CB~FEL~MepC53FN0r83iBUxPkJ7EPf8CuauQRF8wVUrQYPb38kAaQIwdIgXhQ7-8WVGu9mGLs6Z6AOTYXjXMasZAYTDhN8-CiWzxxcHWIJ-sv1pqAM2GZJUtrvO6oj9BRWDA6xFbaAbPASHYgBy4VRvEcxs-XE5UXcRlmKoW6LTzmt~JrSj1AtL9GIXSMXMUTdgHGO-5WkblfRFIeVuHDmQ~FSbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059410,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059410/thumbnails/1.jpg","file_name":"s41467-019-09853-z.pdf","download_url":"https://www.academia.edu/attachments/117059410/download_file","bulk_download_file_name":"Stem_cell_associated_heterogeneity_in_Gl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059410/s41467-019-09853-z-libre.pdf?1722074555=\u0026response-content-disposition=attachment%3B+filename%3DStem_cell_associated_heterogeneity_in_Gl.pdf\u0026Expires=1732464355\u0026Signature=cX0d2wLA7vCw0yQlIF0aiRxR4dJEcgVRmKeOOtnxYJBXX0O0MBYUPYqTwK9ka4qcPl2u~Zjg~GaRg4JZhUyJiMye81bjI5uNu5SfctfKH35s2gY~wdXBMepgn-jtRbcg3ItStv4GUM-KQSCxL5lWtXER2y3xhCEi1mLRpBONxVyCz2~OKUuYy3zYvDZKWeXX7CuhQMcd9FkQ0NbE5LWadIXPeIHQFMbQPpE-kcL3vguRgPE0y02Od8XfM3gQmHhFoF7GvlOxnqSvvkLKv6SIScy8hwu4SJsYHtp61K9A~IKU-mYK-gfan1lJAXWn~ZSWK767AqIM9Wc7E8hVCK8W3A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":23163,"name":"Stem Cell","url":"https://www.academia.edu/Documents/in/Stem_Cell"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":62710,"name":"Tumor microenvironment","url":"https://www.academia.edu/Documents/in/Tumor_microenvironment"},{"id":275658,"name":"Cancer Stem Cell","url":"https://www.academia.edu/Documents/in/Cancer_Stem_Cell"},{"id":506082,"name":"Cancer Cell","url":"https://www.academia.edu/Documents/in/Cancer_Cell"},{"id":1267800,"name":"Nature Communications","url":"https://www.academia.edu/Documents/in/Nature_Communications"}],"urls":[{"id":43705347,"url":"https://www.nature.com/articles/s41467-019-09853-z.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384064"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384064/CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions"><img alt="Research paper thumbnail of CellTrans: An R Package to Quantify Stochastic Cell State Transitions" class="work-thumbnail" src="https://attachments.academia-assets.com/117059442/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384064/CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions">CellTrans: An R Package to Quantify Stochastic Cell State Transitions</a></div><div class="wp-workCard_item"><span>Bioinformatics and biology insights</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states whi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans hand...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="499702765c426301e73f585fafd08c7a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059442,"asset_id":122384064,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059442/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384064"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384064"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384064; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384064]").text(description); $(".js-view-count[data-work-id=122384064]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384064; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384064']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384064, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "499702765c426301e73f585fafd08c7a" } } $('.js-work-strip[data-work-id=122384064]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384064,"title":"CellTrans: An R Package to Quantify Stochastic Cell State Transitions","translated_title":"","metadata":{"abstract":"Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans hand...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Bioinformatics and biology insights"},"translated_abstract":"Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans hand...","internal_url":"https://www.academia.edu/122384064/CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions","translated_internal_url":"","created_at":"2024-07-27T02:00:03.800-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059442,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059442/thumbnails/1.jpg","file_name":"1177932217712241.pdf","download_url":"https://www.academia.edu/attachments/117059442/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CellTrans_An_R_Package_to_Quantify_Stoch.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059442/1177932217712241-libre.pdf?1722074553=\u0026response-content-disposition=attachment%3B+filename%3DCellTrans_An_R_Package_to_Quantify_Stoch.pdf\u0026Expires=1732464355\u0026Signature=Xla6bDJwnLX8Vlz~N48FkcE98B8xuvjx1rXPjitCxGD8tp~TouiCBM~1byfeobx5RSrD7wY5l1kFUyIYhhOqH0uZ-mwg9vgruQ17X7YK7dvc2j9l3KPiG6lE~tg1LuWLGmnhMrDefQBzVpwAIzedIOYDRgHUT1r-quk4Dibh9mwfXIB5-yv0KAmPZ6f7fS7D9504Tef7QZCvqVGpLpi9BuBZhiabhOvh5S7GSaOxbUDzRT02fDBR11fZEUoGxyMGC1LfGLDTNf~5mf0ucqguKaEv3kztZQ2WTMI2mRK11NBEWwRp8F2CIvnZmn88cLakpe9tXvieFCahaBMqrioctQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CellTrans_An_R_Package_to_Quantify_Stochastic_Cell_State_Transitions","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059442,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059442/thumbnails/1.jpg","file_name":"1177932217712241.pdf","download_url":"https://www.academia.edu/attachments/117059442/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CellTrans_An_R_Package_to_Quantify_Stoch.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059442/1177932217712241-libre.pdf?1722074553=\u0026response-content-disposition=attachment%3B+filename%3DCellTrans_An_R_Package_to_Quantify_Stoch.pdf\u0026Expires=1732464355\u0026Signature=Xla6bDJwnLX8Vlz~N48FkcE98B8xuvjx1rXPjitCxGD8tp~TouiCBM~1byfeobx5RSrD7wY5l1kFUyIYhhOqH0uZ-mwg9vgruQ17X7YK7dvc2j9l3KPiG6lE~tg1LuWLGmnhMrDefQBzVpwAIzedIOYDRgHUT1r-quk4Dibh9mwfXIB5-yv0KAmPZ6f7fS7D9504Tef7QZCvqVGpLpi9BuBZhiabhOvh5S7GSaOxbUDzRT02fDBR11fZEUoGxyMGC1LfGLDTNf~5mf0ucqguKaEv3kztZQ2WTMI2mRK11NBEWwRp8F2CIvnZmn88cLakpe9tXvieFCahaBMqrioctQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":515169,"name":"DDC","url":"https://www.academia.edu/Documents/in/DDC"},{"id":1316344,"name":"Cell Sorting","url":"https://www.academia.edu/Documents/in/Cell_Sorting"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384063"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384063/Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization"><img alt="Research paper thumbnail of Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization" class="work-thumbnail" src="https://attachments.academia-assets.com/117059411/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384063/Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization">Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization</a></div><div class="wp-workCard_item"><span>Molecular Cancer Therapeutics</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothes...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic ef...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4881b8de535ec4871a2969e5d17118de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059411,"asset_id":122384063,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059411/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384063"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384063"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384063; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384063]").text(description); $(".js-view-count[data-work-id=122384063]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384063; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384063']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384063, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4881b8de535ec4871a2969e5d17118de" } } $('.js-work-strip[data-work-id=122384063]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384063,"title":"Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization","translated_title":"","metadata":{"abstract":"Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic ef...","publisher":"American Association for Cancer Research (AACR)","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Molecular Cancer Therapeutics"},"translated_abstract":"Tumor cells—even if nonauxotrophic—are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic ef...","internal_url":"https://www.academia.edu/122384063/Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization","translated_internal_url":"","created_at":"2024-07-27T02:00:03.167-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059411,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059411/thumbnails/1.jpg","file_name":"393.pdf","download_url":"https://www.academia.edu/attachments/117059411/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Arginine_Deprivation_Therapy_Putative_St.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059411/393-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DArginine_Deprivation_Therapy_Putative_St.pdf\u0026Expires=1732464355\u0026Signature=BF958KAIg2BEepucoCUtyVwSyMg970lonW1jmdY~4SnzIWx9swYQuXvPcO6odb2Rz9HFSfTLHYeP~mqcI1AHGySCjGQU0u20TtTqTEv7ddDRYtja4UMaFADfKvPoJlf5CK~XJA4F3qjdZ1EgW5xKkGr45tksGcFM6ZmMsH7nvchCPKVRFqjk84uwtEsU~Ful7iNjktZgY~4xmSGHJRKVEcYsW001JawN3yexHlgnoFiGB1b1tzRtyTZC8qQWuUcy0c-I0-7k4vEx2AfeEFwXua7bkFLEHOwA7QU~p9l0JL4sOZoivTP4qLUJns6ZNpWy0j-hsM3n3WUBk~s~wCVeTw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Arginine_Deprivation_Therapy_Putative_Strategy_to_Eradicate_Glioblastoma_Cells_by_Radiosensitization","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059411,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059411/thumbnails/1.jpg","file_name":"393.pdf","download_url":"https://www.academia.edu/attachments/117059411/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Arginine_Deprivation_Therapy_Putative_St.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059411/393-libre.pdf?1722074561=\u0026response-content-disposition=attachment%3B+filename%3DArginine_Deprivation_Therapy_Putative_St.pdf\u0026Expires=1732464355\u0026Signature=BF958KAIg2BEepucoCUtyVwSyMg970lonW1jmdY~4SnzIWx9swYQuXvPcO6odb2Rz9HFSfTLHYeP~mqcI1AHGySCjGQU0u20TtTqTEv7ddDRYtja4UMaFADfKvPoJlf5CK~XJA4F3qjdZ1EgW5xKkGr45tksGcFM6ZmMsH7nvchCPKVRFqjk84uwtEsU~Ful7iNjktZgY~4xmSGHJRKVEcYsW001JawN3yexHlgnoFiGB1b1tzRtyTZC8qQWuUcy0c-I0-7k4vEx2AfeEFwXua7bkFLEHOwA7QU~p9l0JL4sOZoivTP4qLUJns6ZNpWy0j-hsM3n3WUBk~s~wCVeTw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117059408,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059408/thumbnails/1.jpg","file_name":"393.pdf","download_url":"https://www.academia.edu/attachments/117059408/download_file","bulk_download_file_name":"Arginine_Deprivation_Therapy_Putative_St.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059408/393-libre.pdf?1722074559=\u0026response-content-disposition=attachment%3B+filename%3DArginine_Deprivation_Therapy_Putative_St.pdf\u0026Expires=1732464355\u0026Signature=WcGWjYuiZZw2Mcdw2ICR0sGEDG0uQNkos-XBdlaXKUxI-g7zCQu8WG1czOWKFFjrdE5UcKylN5iRd9cCHqPWohR2tlTLLicrAhsjXdaZyxAkJpfscKLPmphGRtDKYSk9YUKlmZuCaHWF3ASEuRTHtms352jOVKkqoGUBgiVUfNzJJEEfGuEbekbyCBUmUGKeCajcHDk15M5Vz4I8hxNEsrdZE55aksC0yukLtS0mqQMGQ1wAO-4mm7Uw-4BnJbvjM0s94BSFtk6xes5rDILvnwFKQjYc-ytCNBeEUD6ui7AR2duPq9fBOOb0j-~MygDw8aKKuBZH-UxW74sFpyTBeg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":22255,"name":"Cancer Research","url":"https://www.academia.edu/Documents/in/Cancer_Research"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":76383,"name":"Glioma","url":"https://www.academia.edu/Documents/in/Glioma"},{"id":555120,"name":"Arginine","url":"https://www.academia.edu/Documents/in/Arginine"},{"id":764243,"name":"Radioresistance","url":"https://www.academia.edu/Documents/in/Radioresistance"},{"id":787715,"name":"Molecular Cancer Therapeutics","url":"https://www.academia.edu/Documents/in/Molecular_Cancer_Therapeutics"},{"id":879919,"name":"Radiosensitivity","url":"https://www.academia.edu/Documents/in/Radiosensitivity"},{"id":3789884,"name":"Pharmacology and pharmaceutical sciences","url":"https://www.academia.edu/Documents/in/Pharmacology_and_pharmaceutical_sciences"}],"urls":[{"id":43705346,"url":"https://aacrjournals.org/mct/article-pdf/17/2/393/1858442/393.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384062/Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma"><img alt="Research paper thumbnail of Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma" class="work-thumbnail" src="https://attachments.academia-assets.com/117059448/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384062/Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma">Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma</a></div><div class="wp-workCard_item"><span>PLOS Computational Biology</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="994a1e2f3de778a1eb98ee772a304df4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059448,"asset_id":122384062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059448/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384062]").text(description); $(".js-view-count[data-work-id=122384062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "994a1e2f3de778a1eb98ee772a304df4" } } $('.js-work-strip[data-work-id=122384062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384062,"title":"Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma","translated_title":"","metadata":{"publisher":"Public Library of Science (PLoS)","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"PLOS Computational Biology"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384062/Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma","translated_internal_url":"","created_at":"2024-07-27T02:00:02.909-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059448,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059448/thumbnails/1.jpg","file_name":"b1ff3e16147b0966272919594845e2b59158.pdf","download_url":"https://www.academia.edu/attachments/117059448/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Model_Based_Evaluation_of_Spontaneous_Tu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059448/b1ff3e16147b0966272919594845e2b59158-libre.pdf?1722074562=\u0026response-content-disposition=attachment%3B+filename%3DModel_Based_Evaluation_of_Spontaneous_Tu.pdf\u0026Expires=1732464356\u0026Signature=J-ZmMHMKrCjMq3dbfCQEngMGBqGS1nRkher1H7Psh32l3ST58LNl5-A64IaUICvpXv1T1JjPD9eqogrmC~NOzSDTWnb1q9QQnMfusrYXjP07tECmi8L96DfHMTANqbupaUJrD91pBU9Km3YbMlPqfASYDudOFZtuTDm7mcfRLRlcOb6UBJnHWR-NmeP01Er6tIbUNY5qUJbofTPQ-B~VfCvbdznOcHiXIq7rzCieVxE5wBZbhkr-R0gLL44adFbzaEnz5WZVgzKqrHAP-WLE6r3ERTeKrOrc5UsLaJvRLDmbt-e-GU3odZoAenM-vI~xDHzPboSTu5Re324oWVeRsw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Model_Based_Evaluation_of_Spontaneous_Tumor_Regression_in_Pilocytic_Astrocytoma","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059448,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059448/thumbnails/1.jpg","file_name":"b1ff3e16147b0966272919594845e2b59158.pdf","download_url":"https://www.academia.edu/attachments/117059448/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Model_Based_Evaluation_of_Spontaneous_Tu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059448/b1ff3e16147b0966272919594845e2b59158-libre.pdf?1722074562=\u0026response-content-disposition=attachment%3B+filename%3DModel_Based_Evaluation_of_Spontaneous_Tu.pdf\u0026Expires=1732464356\u0026Signature=J-ZmMHMKrCjMq3dbfCQEngMGBqGS1nRkher1H7Psh32l3ST58LNl5-A64IaUICvpXv1T1JjPD9eqogrmC~NOzSDTWnb1q9QQnMfusrYXjP07tECmi8L96DfHMTANqbupaUJrD91pBU9Km3YbMlPqfASYDudOFZtuTDm7mcfRLRlcOb6UBJnHWR-NmeP01Er6tIbUNY5qUJbofTPQ-B~VfCvbdznOcHiXIq7rzCieVxE5wBZbhkr-R0gLL44adFbzaEnz5WZVgzKqrHAP-WLE6r3ERTeKrOrc5UsLaJvRLDmbt-e-GU3odZoAenM-vI~xDHzPboSTu5Re324oWVeRsw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":10030,"name":"Radiation Therapy","url":"https://www.academia.edu/Documents/in/Radiation_Therapy"},{"id":24731,"name":"Apoptosis","url":"https://www.academia.edu/Documents/in/Apoptosis"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":49416,"name":"Markov-chain model","url":"https://www.academia.edu/Documents/in/Markov-chain_model"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation"},{"id":74780,"name":"Mutation","url":"https://www.academia.edu/Documents/in/Mutation"},{"id":76383,"name":"Glioma","url":"https://www.academia.edu/Documents/in/Glioma"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":107672,"name":"Regression","url":"https://www.academia.edu/Documents/in/Regression"},{"id":272156,"name":"PA","url":"https://www.academia.edu/Documents/in/PA"},{"id":489727,"name":"Prognosis","url":"https://www.academia.edu/Documents/in/Prognosis"},{"id":613465,"name":"Statistical models","url":"https://www.academia.edu/Documents/in/Statistical_models"},{"id":782251,"name":"Cell Proliferation","url":"https://www.academia.edu/Documents/in/Cell_Proliferation"},{"id":859051,"name":"Astrocytoma","url":"https://www.academia.edu/Documents/in/Astrocytoma"},{"id":1425045,"name":"Brain Neoplasms","url":"https://www.academia.edu/Documents/in/Brain_Neoplasms"},{"id":1518799,"name":"Resection","url":"https://www.academia.edu/Documents/in/Resection"},{"id":1887839,"name":"Pilocytic astrocytoma","url":"https://www.academia.edu/Documents/in/Pilocytic_astrocytoma"}],"urls":[{"id":43705345,"url":"http://dx.plos.org/10.1371/journal.pcbi.1004662"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384061"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384061/The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves"><img alt="Research paper thumbnail of The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves" class="work-thumbnail" src="https://attachments.academia-assets.com/117215467/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384061/The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves">The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves</a></div><div class="wp-workCard_item"><span>ACM Transactions on Modeling and Computer Simulation</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and or...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and orchestrated procedure that often incorporates stochastic mechanisms in order to diversify cell types. How these stochastic phenomena interact to govern cell fate is poorly understood. Nonetheless, cell fate decision-making procedure is mainly regulated through the activation of differentiation waves and associated signaling pathways. In the current work, we focus on the Notch/Delta signaling pathway, which is not only known to trigger such waves but also is used to achieve the principle of lateral inhibition (i.e., a competition for exclusive fates through cross-signaling between neighboring cells). Such a process ensures unambiguous stochastic decisions influenced by intrinsic noise sources, such as those found in the regulation of signaling pathways, and extrinsic stochastic fluctuations attributed to microenvironmental factors. However, the effect of intrinsic and extrinsic noise on ce...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="989ad11a4078c37a854c776c30a43df1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117215467,"asset_id":122384061,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117215467/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384061"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384061"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384061; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384061]").text(description); $(".js-view-count[data-work-id=122384061]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384061; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384061']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384061, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "989ad11a4078c37a854c776c30a43df1" } } $('.js-work-strip[data-work-id=122384061]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384061,"title":"The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves","translated_title":"","metadata":{"abstract":"Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and orchestrated procedure that often incorporates stochastic mechanisms in order to diversify cell types. How these stochastic phenomena interact to govern cell fate is poorly understood. Nonetheless, cell fate decision-making procedure is mainly regulated through the activation of differentiation waves and associated signaling pathways. In the current work, we focus on the Notch/Delta signaling pathway, which is not only known to trigger such waves but also is used to achieve the principle of lateral inhibition (i.e., a competition for exclusive fates through cross-signaling between neighboring cells). Such a process ensures unambiguous stochastic decisions influenced by intrinsic noise sources, such as those found in the regulation of signaling pathways, and extrinsic stochastic fluctuations attributed to microenvironmental factors. However, the effect of intrinsic and extrinsic noise on ce...","publisher":"Association for Computing Machinery (ACM)","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"ACM Transactions on Modeling and Computer Simulation"},"translated_abstract":"Multipotent differentiation, where cells adopt one of several cell fates, is a determinate and orchestrated procedure that often incorporates stochastic mechanisms in order to diversify cell types. How these stochastic phenomena interact to govern cell fate is poorly understood. Nonetheless, cell fate decision-making procedure is mainly regulated through the activation of differentiation waves and associated signaling pathways. In the current work, we focus on the Notch/Delta signaling pathway, which is not only known to trigger such waves but also is used to achieve the principle of lateral inhibition (i.e., a competition for exclusive fates through cross-signaling between neighboring cells). Such a process ensures unambiguous stochastic decisions influenced by intrinsic noise sources, such as those found in the regulation of signaling pathways, and extrinsic stochastic fluctuations attributed to microenvironmental factors. However, the effect of intrinsic and extrinsic noise on ce...","internal_url":"https://www.academia.edu/122384061/The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves","translated_internal_url":"","created_at":"2024-07-27T02:00:02.652-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117215467,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215467/thumbnails/1.jpg","file_name":"1503.01915v1.pdf","download_url":"https://www.academia.edu/attachments/117215467/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Extrinsic_Noise_Effect_on_Lateral_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215467/1503.01915v1-libre.pdf?1722803732=\u0026response-content-disposition=attachment%3B+filename%3DThe_Extrinsic_Noise_Effect_on_Lateral_In.pdf\u0026Expires=1732464356\u0026Signature=dpJtT3oAVP1MmiCY1L89aqje8ApvBvriryTiuE6wCecqTr6i-2INWLjYvu9AEP~8WWkbcAqi4Hm4O94QAaW7y5T1ntfaDhlfGR4nToKtemtXraxLreA3QO2W0j2MU9hwSgbAT4HZDJdOxlK0NkSutK1uCu1j3OX~n7WdN5yWpPYDaNNY2A22UXpodZtJxe8OMSVyMYE~sNT~zUWIu5geywlJ1y-QdOaRHCiaCBWiBsXvIOZ4Sed6X3oFlu-C7Db0NPPhIU3UkfACmidoGoAr-Q3bdvwE~Xoaas752G8jTYqnh2A9Qyr1yIgBqls3YCL2Dmf1XELmT4~lRwFesmWMcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Extrinsic_Noise_Effect_on_Lateral_Inhibition_Differentiation_Waves","translated_slug":"","page_count":15,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117215467,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215467/thumbnails/1.jpg","file_name":"1503.01915v1.pdf","download_url":"https://www.academia.edu/attachments/117215467/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Extrinsic_Noise_Effect_on_Lateral_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215467/1503.01915v1-libre.pdf?1722803732=\u0026response-content-disposition=attachment%3B+filename%3DThe_Extrinsic_Noise_Effect_on_Lateral_In.pdf\u0026Expires=1732464356\u0026Signature=dpJtT3oAVP1MmiCY1L89aqje8ApvBvriryTiuE6wCecqTr6i-2INWLjYvu9AEP~8WWkbcAqi4Hm4O94QAaW7y5T1ntfaDhlfGR4nToKtemtXraxLreA3QO2W0j2MU9hwSgbAT4HZDJdOxlK0NkSutK1uCu1j3OX~n7WdN5yWpPYDaNNY2A22UXpodZtJxe8OMSVyMYE~sNT~zUWIu5geywlJ1y-QdOaRHCiaCBWiBsXvIOZ4Sed6X3oFlu-C7Db0NPPhIU3UkfACmidoGoAr-Q3bdvwE~Xoaas752G8jTYqnh2A9Qyr1yIgBqls3YCL2Dmf1XELmT4~lRwFesmWMcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"}],"urls":[{"id":43705344,"url":"https://dl.acm.org/doi/pdf/10.1145/2832908"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384060"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384060/Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata"><img alt="Research paper thumbnail of Mathematical modelling and simulation of interacting cell systems with cellular automata" class="work-thumbnail" src="https://attachments.academia-assets.com/117059437/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384060/Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata">Mathematical modelling and simulation of interacting cell systems with cellular automata</a></div><div class="wp-workCard_item"><span>Computational Fluid and Solid Mechanics 2003#R##N#Proceedings Second MIT Conference on Compurational Fluid and Solid Mechanics June 17–20, 2003</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="786d63bf74edc54d436b72303e16e72a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059437,"asset_id":122384060,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059437/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384060"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384060"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384060; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384060]").text(description); $(".js-view-count[data-work-id=122384060]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384060; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384060']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384060, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "786d63bf74edc54d436b72303e16e72a" } } $('.js-work-strip[data-work-id=122384060]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384060,"title":"Mathematical modelling and simulation of interacting cell systems with cellular automata","translated_title":"","metadata":{"publisher":"Elsevier Science Ltd","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"Computational Fluid and Solid Mechanics 2003#R##N#Proceedings Second MIT Conference on Compurational Fluid and Solid Mechanics June 17–20, 2003"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384060/Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata","translated_internal_url":"","created_at":"2024-07-27T02:00:02.408-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059437,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059437/thumbnails/1.jpg","file_name":"MIT_2002-01.pdf","download_url":"https://www.academia.edu/attachments/117059437/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_modelling_and_simulation_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059437/MIT_2002-01-libre.pdf?1722074539=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_modelling_and_simulation_of.pdf\u0026Expires=1732464356\u0026Signature=DBX409Y4UW-S2r4bSxYzj46Dm-87GwO7-l6utH2ubNcTv1OdsANka8474WRxDaBB9KS8lnUZ7KIADbq0UogBwKICfq1k6j2jeW8jXL1ZdnDM4M67m~3vTtD3VP6q9wzTv7v4-UkFeuKWAfW1XQPmN3F5~GSsrluh4rF78sCE0fwVKnhP~5SA2X6Yl1~Ggr8scyFH25aonadGX8aOBHHBkox9Jk6nJmpt82GZiUYIzX5ff0OtYaw-R9PgEVeo4BhmJZtoBfqx4dz3q1uP-pCTsFFxnXViqtJNvirx4Zz7d3BGyyKbKgrwhqNdsm-LLndGenDXzNG2IVBdoTQXzRJ3HA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mathematical_modelling_and_simulation_of_interacting_cell_systems_with_cellular_automata","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059437,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059437/thumbnails/1.jpg","file_name":"MIT_2002-01.pdf","download_url":"https://www.academia.edu/attachments/117059437/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_modelling_and_simulation_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059437/MIT_2002-01-libre.pdf?1722074539=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_modelling_and_simulation_of.pdf\u0026Expires=1732464356\u0026Signature=DBX409Y4UW-S2r4bSxYzj46Dm-87GwO7-l6utH2ubNcTv1OdsANka8474WRxDaBB9KS8lnUZ7KIADbq0UogBwKICfq1k6j2jeW8jXL1ZdnDM4M67m~3vTtD3VP6q9wzTv7v4-UkFeuKWAfW1XQPmN3F5~GSsrluh4rF78sCE0fwVKnhP~5SA2X6Yl1~Ggr8scyFH25aonadGX8aOBHHBkox9Jk6nJmpt82GZiUYIzX5ff0OtYaw-R9PgEVeo4BhmJZtoBfqx4dz3q1uP-pCTsFFxnXViqtJNvirx4Zz7d3BGyyKbKgrwhqNdsm-LLndGenDXzNG2IVBdoTQXzRJ3HA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":1029330,"name":"Automaton","url":"https://www.academia.edu/Documents/in/Automaton"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"}],"urls":[{"id":43705343,"url":"https://doi.org/10.1016/b978-008044046-0.50406-1"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384059"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384059/A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm"><img alt="Research paper thumbnail of A Cellular Automaton Model for an Immune-Derived Search Algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/117059441/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384059/A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm">A Cellular Automaton Model for an Immune-Derived Search Algorithm</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7b311ac12930eb49ddf0eca381135f90" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059441,"asset_id":122384059,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059441/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384059"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384059"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384059; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384059]").text(description); $(".js-view-count[data-work-id=122384059]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384059; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384059']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384059, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7b311ac12930eb49ddf0eca381135f90" } } $('.js-work-strip[data-work-id=122384059]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384059,"title":"A Cellular Automaton Model for an Immune-Derived Search Algorithm","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2004,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384059/A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm","translated_internal_url":"","created_at":"2024-07-27T02:00:02.221-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059441,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059441/thumbnails/1.jpg","file_name":"ACRI2004-2.pdf","download_url":"https://www.academia.edu/attachments/117059441/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Cellular_Automaton_Model_for_an_Immune.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059441/ACRI2004-2-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DA_Cellular_Automaton_Model_for_an_Immune.pdf\u0026Expires=1732464356\u0026Signature=Z8tKYYxTy-t6P~pRRKj5S2smyxjfP63pip5XgBvdK-1dI9EPXT4EomG-lckvlz4jwZF6nygjPCR6-DSbaXTvpEBCv5gzOqzej2Q~rcsyabWmPM2RAIoXy5x3zMMAFvHy0GjALYrAKc8PurTNHWF7skks6flDNN5Y8QWxirqMIvGreBmQ3UV2fSSEd3MDDRyjp-N-FODyM0ffTVgsO8lFYVbCLa71YzOz34sa8kOd~Ky2JYSnj2KZlldwKmuw~kjMkDFzMbmbuAgCFIpo-lsuB9kxglpGau9Qft76cDfoti77h5Dc6Upc5Dzl6HhabIpj0LBRYivuLghh57s64lCwcw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Cellular_Automaton_Model_for_an_Immune_Derived_Search_Algorithm","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059441,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059441/thumbnails/1.jpg","file_name":"ACRI2004-2.pdf","download_url":"https://www.academia.edu/attachments/117059441/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Cellular_Automaton_Model_for_an_Immune.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059441/ACRI2004-2-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DA_Cellular_Automaton_Model_for_an_Immune.pdf\u0026Expires=1732464356\u0026Signature=Z8tKYYxTy-t6P~pRRKj5S2smyxjfP63pip5XgBvdK-1dI9EPXT4EomG-lckvlz4jwZF6nygjPCR6-DSbaXTvpEBCv5gzOqzej2Q~rcsyabWmPM2RAIoXy5x3zMMAFvHy0GjALYrAKc8PurTNHWF7skks6flDNN5Y8QWxirqMIvGreBmQ3UV2fSSEd3MDDRyjp-N-FODyM0ffTVgsO8lFYVbCLa71YzOz34sa8kOd~Ky2JYSnj2KZlldwKmuw~kjMkDFzMbmbuAgCFIpo-lsuB9kxglpGau9Qft76cDfoti77h5Dc6Upc5Dzl6HhabIpj0LBRYivuLghh57s64lCwcw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":78086,"name":"Random Walk","url":"https://www.academia.edu/Documents/in/Random_Walk"},{"id":155564,"name":"Search Algorithm","url":"https://www.academia.edu/Documents/in/Search_Algorithm"},{"id":267802,"name":"Dimensional","url":"https://www.academia.edu/Documents/in/Dimensional"},{"id":290886,"name":"Peer to Peer","url":"https://www.academia.edu/Documents/in/Peer_to_Peer"},{"id":324154,"name":"Immune system","url":"https://www.academia.edu/Documents/in/Immune_system"},{"id":539410,"name":"Network Topology","url":"https://www.academia.edu/Documents/in/Network_Topology"},{"id":1029330,"name":"Automaton","url":"https://www.academia.edu/Documents/in/Automaton"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384058"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384058/Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks"><img alt="Research paper thumbnail of Design and Analysis of a Bio-inspired Search Algorithm for Peer to Peer Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/117059439/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384058/Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks">Design and Analysis of a Bio-inspired Search Algorithm for Peer to Peer Networks</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2005</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3de47c3352ead8e185b32d8d717b022" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059439,"asset_id":122384058,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059439/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384058"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384058"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384058; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384058]").text(description); $(".js-view-count[data-work-id=122384058]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384058; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384058']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384058, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3de47c3352ead8e185b32d8d717b022" } } $('.js-work-strip[data-work-id=122384058]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384058,"title":"Design and Analysis of a Bio-inspired Search Algorithm for Peer to Peer Networks","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2005,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384058/Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks","translated_internal_url":"","created_at":"2024-07-27T02:00:02.039-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059439,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059439/thumbnails/1.jpg","file_name":"SELFSTAR.pdf","download_url":"https://www.academia.edu/attachments/117059439/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Design_and_Analysis_of_a_Bio_inspired_Se.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059439/SELFSTAR-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DDesign_and_Analysis_of_a_Bio_inspired_Se.pdf\u0026Expires=1732464356\u0026Signature=b0OPtfp41J-vbi0tvjdmzyEwUzaliuOn8vAGi-tnr3SOb6rgt4NXuHpRrF1493huathDjOLd9YUC2V6TNGhKn9Gzi4czHW1wzKUdkt9e2PUTEw7UNRpczjGdhleLr73njffUcGhD9b~0YSiys3-jYJYH56K~QmO8ubQfOWwGnduxaouHJpOufQTxFhwzdFUBWIdxH5eomZeXT01FAuIa4905DfbxlMo706NYplg4jRyipWjZXIi3XrC8WGO85xCnrKuYjQ9hUm9l62dgskIiLUKzumIORRnF0rVDWD228jqFx5nBfDWxANc9wBtxP5-yW-2fXHUrmTC~al28cYaUVQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Design_and_Analysis_of_a_Bio_inspired_Search_Algorithm_for_Peer_to_Peer_Networks","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059439,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059439/thumbnails/1.jpg","file_name":"SELFSTAR.pdf","download_url":"https://www.academia.edu/attachments/117059439/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Design_and_Analysis_of_a_Bio_inspired_Se.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059439/SELFSTAR-libre.pdf?1722074547=\u0026response-content-disposition=attachment%3B+filename%3DDesign_and_Analysis_of_a_Bio_inspired_Se.pdf\u0026Expires=1732464356\u0026Signature=b0OPtfp41J-vbi0tvjdmzyEwUzaliuOn8vAGi-tnr3SOb6rgt4NXuHpRrF1493huathDjOLd9YUC2V6TNGhKn9Gzi4czHW1wzKUdkt9e2PUTEw7UNRpczjGdhleLr73njffUcGhD9b~0YSiys3-jYJYH56K~QmO8ubQfOWwGnduxaouHJpOufQTxFhwzdFUBWIdxH5eomZeXT01FAuIa4905DfbxlMo706NYplg4jRyipWjZXIi3XrC8WGO85xCnrKuYjQ9hUm9l62dgskIiLUKzumIORRnF0rVDWD228jqFx5nBfDWxANc9wBtxP5-yW-2fXHUrmTC~al28cYaUVQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":78086,"name":"Random Walk","url":"https://www.academia.edu/Documents/in/Random_Walk"},{"id":155564,"name":"Search Algorithm","url":"https://www.academia.edu/Documents/in/Search_Algorithm"},{"id":210122,"name":"Robustness (evolution)","url":"https://www.academia.edu/Documents/in/Robustness_evolution_"},{"id":290886,"name":"Peer to Peer","url":"https://www.academia.edu/Documents/in/Peer_to_Peer"},{"id":539410,"name":"Network Topology","url":"https://www.academia.edu/Documents/in/Network_Topology"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384057"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384057/Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks"><img alt="Research paper thumbnail of Bio-inspired Search and Distributed Memory Formation on Power-Law Networks" class="work-thumbnail" src="https://attachments.academia-assets.com/117059434/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384057/Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks">Bio-inspired Search and Distributed Memory Formation on Power-Law Networks</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b2d7acdf06802f1f4c2095ac019f9ece" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059434,"asset_id":122384057,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059434/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384057"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384057"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384057; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384057]").text(description); $(".js-view-count[data-work-id=122384057]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384057; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384057']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384057, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b2d7acdf06802f1f4c2095ac019f9ece" } } $('.js-work-strip[data-work-id=122384057]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384057,"title":"Bio-inspired Search and Distributed Memory Formation on Power-Law Networks","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384057/Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks","translated_internal_url":"","created_at":"2024-07-27T02:00:01.871-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059434,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059434/thumbnails/1.jpg","file_name":"ppsn08.pdf","download_url":"https://www.academia.edu/attachments/117059434/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Bio_inspired_Search_and_Distributed_Memo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059434/ppsn08-libre.pdf?1722074542=\u0026response-content-disposition=attachment%3B+filename%3DBio_inspired_Search_and_Distributed_Memo.pdf\u0026Expires=1732464356\u0026Signature=a8E~NvGXgB0TqywFqJ~JoAtD-nirBJioJtmnCIrLT2bjI6yTyOJV8TxuwvrJ-hmUOnPk1fle9EiOUciep1ncyofdw3-oCvLNCTiVBOatA50B6d2X3RPbIbQ1go59jEVxifKip0mQcQopPf4LWpgTsbdnkIkY38RkRuIcUwurc-i4h8uKYDn8TaAUz225~sZBgyr~SjVMz7OTcwKwemzN2PwDtpT3MlxxfbAwK-X6cZIJtA5w6vNln6ZZTj74foKWseVcsFXMxxIsO3j3L8MaiebD0NXRG9LqBJBNb0amfHsZ5RaCD2HHndF336gm-fpPTKO-bXkuB4k7G-pqMPmw6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Bio_inspired_Search_and_Distributed_Memory_Formation_on_Power_Law_Networks","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059434,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059434/thumbnails/1.jpg","file_name":"ppsn08.pdf","download_url":"https://www.academia.edu/attachments/117059434/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Bio_inspired_Search_and_Distributed_Memo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059434/ppsn08-libre.pdf?1722074542=\u0026response-content-disposition=attachment%3B+filename%3DBio_inspired_Search_and_Distributed_Memo.pdf\u0026Expires=1732464356\u0026Signature=a8E~NvGXgB0TqywFqJ~JoAtD-nirBJioJtmnCIrLT2bjI6yTyOJV8TxuwvrJ-hmUOnPk1fle9EiOUciep1ncyofdw3-oCvLNCTiVBOatA50B6d2X3RPbIbQ1go59jEVxifKip0mQcQopPf4LWpgTsbdnkIkY38RkRuIcUwurc-i4h8uKYDn8TaAUz225~sZBgyr~SjVMz7OTcwKwemzN2PwDtpT3MlxxfbAwK-X6cZIJtA5w6vNln6ZZTj74foKWseVcsFXMxxIsO3j3L8MaiebD0NXRG9LqBJBNb0amfHsZ5RaCD2HHndF336gm-fpPTKO-bXkuB4k7G-pqMPmw6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":14118,"name":"Distributed Shared Memory System","url":"https://www.academia.edu/Documents/in/Distributed_Shared_Memory_System"},{"id":78086,"name":"Random Walk","url":"https://www.academia.edu/Documents/in/Random_Walk"},{"id":113890,"name":"Power Law","url":"https://www.academia.edu/Documents/in/Power_Law"},{"id":131237,"name":"Cluster Analysis","url":"https://www.academia.edu/Documents/in/Cluster_Analysis"},{"id":155564,"name":"Search Algorithm","url":"https://www.academia.edu/Documents/in/Search_Algorithm"},{"id":324154,"name":"Immune system","url":"https://www.academia.edu/Documents/in/Immune_system"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384055"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384055/Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus"><img alt="Research paper thumbnail of Pattern-formation mechanisms in motility mutants of Myxococcus xanthus" class="work-thumbnail" src="https://attachments.academia-assets.com/117059435/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384055/Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus">Pattern-formation mechanisms in motility mutants of Myxococcus xanthus</a></div><div class="wp-workCard_item"><span>Interface focus</span><span>, Jan 6, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Formation of spatial patterns of cells is a recurring theme in biology and often depends on regul...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Formation of spatial patterns of cells is a recurring theme in biology and often depends on regulated cell motility. Motility of the rod-shaped cells of the bacterium Myxococcus xanthus depends on two motility machineries, type IV pili (giving rise to S-motility) and the gliding motility apparatus (giving rise to A-motility). Cell motility is regulated by occasional reversals. Moving M. xanthus cells can organize into spreading colonies or spore-filled fruiting bodies, depending on their nutritional status. To ultimately understand these two pattern-formation processes and the contributions by the two motility machineries, as well as the cell reversal machinery, we analyse spatial self-organization in three M. xanthus strains: (i) a mutant that moves unidirectionally without reversing by the A-motility system only, (ii) a unidirectional mutant that is also equipped with the S-motility system, and (iii) the wild-type that, in addition to the two motility systems, occasionally reverse...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f8caeb0fa4d509c6a6b9535df0288106" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059435,"asset_id":122384055,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059435/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384055"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384055"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384055; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384055]").text(description); $(".js-view-count[data-work-id=122384055]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384055; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384055']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384055, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f8caeb0fa4d509c6a6b9535df0288106" } } $('.js-work-strip[data-work-id=122384055]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384055,"title":"Pattern-formation mechanisms in motility mutants of Myxococcus xanthus","translated_title":"","metadata":{"abstract":"Formation of spatial patterns of cells is a recurring theme in biology and often depends on regulated cell motility. Motility of the rod-shaped cells of the bacterium Myxococcus xanthus depends on two motility machineries, type IV pili (giving rise to S-motility) and the gliding motility apparatus (giving rise to A-motility). Cell motility is regulated by occasional reversals. Moving M. xanthus cells can organize into spreading colonies or spore-filled fruiting bodies, depending on their nutritional status. To ultimately understand these two pattern-formation processes and the contributions by the two motility machineries, as well as the cell reversal machinery, we analyse spatial self-organization in three M. xanthus strains: (i) a mutant that moves unidirectionally without reversing by the A-motility system only, (ii) a unidirectional mutant that is also equipped with the S-motility system, and (iii) the wild-type that, in addition to the two motility systems, occasionally reverse...","publication_date":{"day":6,"month":1,"year":2012,"errors":{}},"publication_name":"Interface focus"},"translated_abstract":"Formation of spatial patterns of cells is a recurring theme in biology and often depends on regulated cell motility. Motility of the rod-shaped cells of the bacterium Myxococcus xanthus depends on two motility machineries, type IV pili (giving rise to S-motility) and the gliding motility apparatus (giving rise to A-motility). Cell motility is regulated by occasional reversals. Moving M. xanthus cells can organize into spreading colonies or spore-filled fruiting bodies, depending on their nutritional status. To ultimately understand these two pattern-formation processes and the contributions by the two motility machineries, as well as the cell reversal machinery, we analyse spatial self-organization in three M. xanthus strains: (i) a mutant that moves unidirectionally without reversing by the A-motility system only, (ii) a unidirectional mutant that is also equipped with the S-motility system, and (iii) the wild-type that, in addition to the two motility systems, occasionally reverse...","internal_url":"https://www.academia.edu/122384055/Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus","translated_internal_url":"","created_at":"2024-07-27T02:00:01.642-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059435,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059435/thumbnails/1.jpg","file_name":"rsfs.2012.pdf","download_url":"https://www.academia.edu/attachments/117059435/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Pattern_formation_mechanisms_in_motility.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059435/rsfs.2012-libre.pdf?1722074546=\u0026response-content-disposition=attachment%3B+filename%3DPattern_formation_mechanisms_in_motility.pdf\u0026Expires=1732464356\u0026Signature=NunXk~pY~2GDsHYUdpUit3iVBWkZ9csA2pV83W-3Kp9ihXBFLvn-fEy1rQxGNqe9sRTC1uH5UkaJUEU1VdQjBRZlx0LTyFlfCb7okEFwl4S00HVZStKW-eRyoUzYy~exaYH0u5KwLyI1zWw5uCGS8ttn6n-IZB2s5WaZf1ahKvXAp38Z10JLCE1FtSN84TOjDo7rJpa20cgEM1DdkG3gFyIv6TxZ60zKOxJPFtOPllgkh1hQEEczuzdYKBYj2wyIGTBqwsNX4Vl7N1mLKXy5CWRbd712XDLR8JjDXyOCaOlXcsYS3Dlv8Wwk~qLMf9AX5EFS1fdZHyk15eVsxtfx0w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Pattern_formation_mechanisms_in_motility_mutants_of_Myxococcus_xanthus","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059435,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059435/thumbnails/1.jpg","file_name":"rsfs.2012.pdf","download_url":"https://www.academia.edu/attachments/117059435/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Pattern_formation_mechanisms_in_motility.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059435/rsfs.2012-libre.pdf?1722074546=\u0026response-content-disposition=attachment%3B+filename%3DPattern_formation_mechanisms_in_motility.pdf\u0026Expires=1732464356\u0026Signature=NunXk~pY~2GDsHYUdpUit3iVBWkZ9csA2pV83W-3Kp9ihXBFLvn-fEy1rQxGNqe9sRTC1uH5UkaJUEU1VdQjBRZlx0LTyFlfCb7okEFwl4S00HVZStKW-eRyoUzYy~exaYH0u5KwLyI1zWw5uCGS8ttn6n-IZB2s5WaZf1ahKvXAp38Z10JLCE1FtSN84TOjDo7rJpa20cgEM1DdkG3gFyIv6TxZ60zKOxJPFtOPllgkh1hQEEczuzdYKBYj2wyIGTBqwsNX4Vl7N1mLKXy5CWRbd712XDLR8JjDXyOCaOlXcsYS3Dlv8Wwk~qLMf9AX5EFS1fdZHyk15eVsxtfx0w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences"},{"id":8862,"name":"Collective Motion","url":"https://www.academia.edu/Documents/in/Collective_Motion"},{"id":13827,"name":"Cell Biology","url":"https://www.academia.edu/Documents/in/Cell_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":53046,"name":"Motility","url":"https://www.academia.edu/Documents/in/Motility"},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research"},{"id":299563,"name":"Self Organization","url":"https://www.academia.edu/Documents/in/Self_Organization"},{"id":1626075,"name":"Myxococcus xanthus","url":"https://www.academia.edu/Documents/in/Myxococcus_xanthus"},{"id":3438353,"name":"Reversion","url":"https://www.academia.edu/Documents/in/Reversion"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384054"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384054/A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer"><img alt="Research paper thumbnail of A Game Theoretical Perspective on the Somatic Evolution of cancer" class="work-thumbnail" src="https://attachments.academia-assets.com/117059445/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384054/A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer">A Game Theoretical Perspective on the Somatic Evolution of cancer</a></div><div class="wp-workCard_item"><span>Selected Topics in Cancer Modeling</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a6455492672b83043de745161a5a6a8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059445,"asset_id":122384054,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059445/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384054"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384054"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384054; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384054]").text(description); $(".js-view-count[data-work-id=122384054]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384054; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384054']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384054, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5a6455492672b83043de745161a5a6a8" } } $('.js-work-strip[data-work-id=122384054]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384054,"title":"A Game Theoretical Perspective on the Somatic Evolution of cancer","translated_title":"","metadata":{"publisher":"Birkhäuser Boston","publication_name":"Selected Topics in Cancer Modeling"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384054/A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer","translated_internal_url":"","created_at":"2024-07-27T02:00:01.377-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059445,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059445/thumbnails/1.jpg","file_name":"0810.pdf","download_url":"https://www.academia.edu/attachments/117059445/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Game_Theoretical_Perspective_on_the_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059445/0810-libre.pdf?1722074558=\u0026response-content-disposition=attachment%3B+filename%3DA_Game_Theoretical_Perspective_on_the_So.pdf\u0026Expires=1732464356\u0026Signature=W~AUEKTWKPF7kCU-fBv-TXS-JB4is-xLg2yfijMpk7GmoXkrpBP31IkkFCIJxXDsj7UDHQDdTFk-yNbMm1bfgOpRCkNOkg3a2oz8bJIxw78l2D6ogW02cssqDbxd-swBpXhq1C2Ei7fvu5qNgDyyYf6jvEUPFL8pTw--nowbnAUxI3sWZYYJUBK9Y1JRsqZ0hHeqWfl5YR5BjJ-mJb0aTa8KcjTkDD2hs76yejVPIMgpruUB7y8MEjFgXNTpvJAJu2c4IEpHZdk9LLTV54gnFIKYSVbt2EaRSSA8Q5h8YCPCt2LuBlTIUTMRy85bUbtKey-7abig-R8wbBqJhfoakw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Game_Theoretical_Perspective_on_the_Somatic_Evolution_of_cancer","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059445,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059445/thumbnails/1.jpg","file_name":"0810.pdf","download_url":"https://www.academia.edu/attachments/117059445/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Game_Theoretical_Perspective_on_the_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059445/0810-libre.pdf?1722074558=\u0026response-content-disposition=attachment%3B+filename%3DA_Game_Theoretical_Perspective_on_the_So.pdf\u0026Expires=1732464356\u0026Signature=W~AUEKTWKPF7kCU-fBv-TXS-JB4is-xLg2yfijMpk7GmoXkrpBP31IkkFCIJxXDsj7UDHQDdTFk-yNbMm1bfgOpRCkNOkg3a2oz8bJIxw78l2D6ogW02cssqDbxd-swBpXhq1C2Ei7fvu5qNgDyyYf6jvEUPFL8pTw--nowbnAUxI3sWZYYJUBK9Y1JRsqZ0hHeqWfl5YR5BjJ-mJb0aTa8KcjTkDD2hs76yejVPIMgpruUB7y8MEjFgXNTpvJAJu2c4IEpHZdk9LLTV54gnFIKYSVbt2EaRSSA8Q5h8YCPCt2LuBlTIUTMRy85bUbtKey-7abig-R8wbBqJhfoakw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics"},{"id":757,"name":"Game Theory","url":"https://www.academia.edu/Documents/in/Game_Theory"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":213897,"name":"Phenotype","url":"https://www.academia.edu/Documents/in/Phenotype"},{"id":956026,"name":"Somatic Cell Count","url":"https://www.academia.edu/Documents/in/Somatic_Cell_Count"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384053"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384053/Mathematical_Modeling_of_Biological_Systems_Volume_II"><img alt="Research paper thumbnail of Mathematical Modeling of Biological Systems, Volume II" class="work-thumbnail" src="https://attachments.academia-assets.com/117059429/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384053/Mathematical_Modeling_of_Biological_Systems_Volume_II">Mathematical Modeling of Biological Systems, Volume II</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2aef5771a3bbb58ab1c60158416d8ffb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059429,"asset_id":122384053,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059429/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384053"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384053"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384053; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384053]").text(description); $(".js-view-count[data-work-id=122384053]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384053; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384053']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384053, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2aef5771a3bbb58ab1c60158416d8ffb" } } $('.js-work-strip[data-work-id=122384053]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384053,"title":"Mathematical Modeling of Biological Systems, Volume II","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384053/Mathematical_Modeling_of_Biological_Systems_Volume_II","translated_internal_url":"","created_at":"2024-07-27T02:00:01.224-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059429,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059429/thumbnails/1.jpg","file_name":"9780817645571_TOC.pdf","download_url":"https://www.academia.edu/attachments/117059429/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_Modeling_of_Biological_Syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059429/9780817645571_TOC-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_Modeling_of_Biological_Syst.pdf\u0026Expires=1732464356\u0026Signature=bGX0fDHvgbZMLBEBJbuhj8VhIQz7HKESa5l2hhoHCemCSKAId5CmZnbPqoyjkaLy3qEcnfHl-K9xDRUJFyOVWRn38pTXjsnVmIngmfvgnyty0m0-yT5krxa5lm59Ruek9UuCt2ScsytZPu4Gk3-qpMFiCN-9spE7t0Y08wv5qse0-uNYn5l7fvy2j8ow8EUbzhEdFtDBZO4lVzN-cVEh6~6KTgQtFMpD-y2cv8Dl1nuoiqTcqyyQayjijxVRbsApZ0fBrdXMdikYHTcNmrYZ2achJ3ASJAisAi1oM5sF4FLOkCktb11aQTypgCIRGoCl-v8EF9lBhJURkZ3WQEonrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mathematical_Modeling_of_Biological_Systems_Volume_II","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059429,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059429/thumbnails/1.jpg","file_name":"9780817645571_TOC.pdf","download_url":"https://www.academia.edu/attachments/117059429/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mathematical_Modeling_of_Biological_Syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059429/9780817645571_TOC-libre.pdf?1722074541=\u0026response-content-disposition=attachment%3B+filename%3DMathematical_Modeling_of_Biological_Syst.pdf\u0026Expires=1732464356\u0026Signature=bGX0fDHvgbZMLBEBJbuhj8VhIQz7HKESa5l2hhoHCemCSKAId5CmZnbPqoyjkaLy3qEcnfHl-K9xDRUJFyOVWRn38pTXjsnVmIngmfvgnyty0m0-yT5krxa5lm59Ruek9UuCt2ScsytZPu4Gk3-qpMFiCN-9spE7t0Y08wv5qse0-uNYn5l7fvy2j8ow8EUbzhEdFtDBZO4lVzN-cVEh6~6KTgQtFMpD-y2cv8Dl1nuoiqTcqyyQayjijxVRbsApZ0fBrdXMdikYHTcNmrYZ2achJ3ASJAisAi1oM5sF4FLOkCktb11aQTypgCIRGoCl-v8EF9lBhJURkZ3WQEonrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":5400,"name":"Systems Biology","url":"https://www.academia.edu/Documents/in/Systems_Biology"},{"id":291387,"name":"Mathematical Model","url":"https://www.academia.edu/Documents/in/Mathematical_Model"},{"id":351461,"name":"Biological systems","url":"https://www.academia.edu/Documents/in/Biological_systems"},{"id":4551739,"name":"Mathematical and Theoretical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_and_Theoretical_Biology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384052"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384052/Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion"><img alt="Research paper thumbnail of Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective Motion" class="work-thumbnail" src="https://attachments.academia-assets.com/117059440/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384052/Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion">Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective Motion</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1997</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b35000975c7fc805b2366495128b4de6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117059440,"asset_id":122384052,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117059440/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384052"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384052"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384052; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384052]").text(description); $(".js-view-count[data-work-id=122384052]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384052; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384052']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384052, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b35000975c7fc805b2366495128b4de6" } } $('.js-work-strip[data-work-id=122384052]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384052,"title":"Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective Motion","translated_title":"","metadata":{"publisher":"American Physical Society (APS)","publication_date":{"day":null,"month":null,"year":1997,"errors":{}},"publication_name":"Physical Review Letters"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384052/Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion","translated_internal_url":"","created_at":"2024-07-27T02:00:00.825-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117059440,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059440/thumbnails/1.jpg","file_name":"9706008.pdf","download_url":"https://www.academia.edu/attachments/117059440/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mean_Field_Analysis_of_a_Dynamical_Phase.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059440/9706008-libre.pdf?1722074545=\u0026response-content-disposition=attachment%3B+filename%3DMean_Field_Analysis_of_a_Dynamical_Phase.pdf\u0026Expires=1732464357\u0026Signature=YyzM90OeQKCkku14wRo0UAqJJFXyFx45Y6f7IdEkrF66QTu2bb8GU29G9-d9Qp4Mc~-cZugoaissT48Hrzdrw-nyCEFLf-SrexX8S~ICy4-Zmdu9y8k0OQEyoOSQOGWxeL7jieUpou41I3wT~WgoJRDXM9JknVLW92Ogn3AQhOAB3lBWLpYB86q60xyy~FB1DGzmI1SoX-~SwpFZyUQ9xxOtr0d~yxJzoxKnRuTmgOBMtzMGpMNI7ZvZWyLaI2XdpJuPVQVYwFltRZQwTqVZRI7ADT-QJRerE-TTKmrRebRTGZTB32uhKXqmbwQ6VdUgDmmQF0Rhf4gmmNXSTeLoCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mean_Field_Analysis_of_a_Dynamical_Phase_Transition_in_a_Cellular_Automaton_Model_for_Collective_Motion","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117059440,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117059440/thumbnails/1.jpg","file_name":"9706008.pdf","download_url":"https://www.academia.edu/attachments/117059440/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mean_Field_Analysis_of_a_Dynamical_Phase.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117059440/9706008-libre.pdf?1722074545=\u0026response-content-disposition=attachment%3B+filename%3DMean_Field_Analysis_of_a_Dynamical_Phase.pdf\u0026Expires=1732464357\u0026Signature=YyzM90OeQKCkku14wRo0UAqJJFXyFx45Y6f7IdEkrF66QTu2bb8GU29G9-d9Qp4Mc~-cZugoaissT48Hrzdrw-nyCEFLf-SrexX8S~ICy4-Zmdu9y8k0OQEyoOSQOGWxeL7jieUpou41I3wT~WgoJRDXM9JknVLW92Ogn3AQhOAB3lBWLpYB86q60xyy~FB1DGzmI1SoX-~SwpFZyUQ9xxOtr0d~yxJzoxKnRuTmgOBMtzMGpMNI7ZvZWyLaI2XdpJuPVQVYwFltRZQwTqVZRI7ADT-QJRerE-TTKmrRebRTGZTB32uhKXqmbwQ6VdUgDmmQF0Rhf4gmmNXSTeLoCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":8862,"name":"Collective Motion","url":"https://www.academia.edu/Documents/in/Collective_Motion"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":151145,"name":"Dispersion Relation","url":"https://www.academia.edu/Documents/in/Dispersion_Relation"},{"id":173963,"name":"Phase transition","url":"https://www.academia.edu/Documents/in/Phase_transition"},{"id":310719,"name":"Local Alignment","url":"https://www.academia.edu/Documents/in/Local_Alignment"},{"id":1151194,"name":"Mean Field Theory","url":"https://www.academia.edu/Documents/in/Mean_Field_Theory"},{"id":1202082,"name":"Critical Parameter","url":"https://www.academia.edu/Documents/in/Critical_Parameter"},{"id":1745766,"name":"Cellular automaton","url":"https://www.academia.edu/Documents/in/Cellular_automaton"},{"id":4108054,"name":"phase diagram","url":"https://www.academia.edu/Documents/in/phase_diagram"}],"urls":[{"id":43705342,"url":"http://link.aps.org/article/10.1103/PhysRevLett.78.5018"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122384051"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122384051/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions"><img alt="Research paper thumbnail of Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions" class="work-thumbnail" src="https://attachments.academia-assets.com/117215407/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122384051/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions">Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69b6fd56dc9fe5f901f72f387be7ed55" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":117215407,"asset_id":122384051,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/117215407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122384051"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122384051"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122384051; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122384051]").text(description); $(".js-view-count[data-work-id=122384051]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122384051; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122384051']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122384051, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "69b6fd56dc9fe5f901f72f387be7ed55" } } $('.js-work-strip[data-work-id=122384051]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122384051,"title":"Rippling Patterns in Aggregates of Myxobacteria Arise from Cell-Cell Collisions","translated_title":"","metadata":{"publisher":"American Physical Society (APS)","publication_date":{"day":null,"month":null,"year":2002,"errors":{}},"publication_name":"Physical Review Letters"},"translated_abstract":null,"internal_url":"https://www.academia.edu/122384051/Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_internal_url":"","created_at":"2024-07-27T02:00:00.529-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":110569012,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117215407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215407/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117215407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215407/0107039-libre.pdf?1722803714=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464357\u0026Signature=J3ahHD58HyJFEhQYVMETT01nt3FY7WQqAYUL3bbDocoEdFwwl01gBRLaBJpV2m9~7P-po0U91eSDQnvZsz78UBoys9mIftcMc7I1eqv2dKCtplu2eLNHmRVkN06tvNR3pNrQdZ036K~Z4E8J7BviHurU80-u3qsitV~re9JpmvAQQzfRPFJIhNDRMrVHcjEFIknu7lz2QC30zzeUEOA7dkKwMLF7w-zAabWU~~ZvSFPdk42qWXUujJX3BQDajOQDmdXIJtPlCFO~kjtpIQbGHWP1sZjsbHfYqzKTHkkSrVQNDNytCDLkk80VxwSsD6H~G742S3w3y0EXeplYqh1XbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Rippling_Patterns_in_Aggregates_of_Myxobacteria_Arise_from_Cell_Cell_Collisions","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":110569012,"first_name":"Andreas","middle_initials":null,"last_name":"Deutsch","page_name":"DeutschAndreas","domain_name":"independent","created_at":"2019-04-26T02:46:32.064-07:00","display_name":"Andreas Deutsch","url":"https://independent.academia.edu/DeutschAndreas"},"attachments":[{"id":117215407,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117215407/thumbnails/1.jpg","file_name":"0107039.pdf","download_url":"https://www.academia.edu/attachments/117215407/download_file?st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&st=MTczMjQ2MDc1Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rippling_Patterns_in_Aggregates_of_Myxob.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117215407/0107039-libre.pdf?1722803714=\u0026response-content-disposition=attachment%3B+filename%3DRippling_Patterns_in_Aggregates_of_Myxob.pdf\u0026Expires=1732464357\u0026Signature=J3ahHD58HyJFEhQYVMETT01nt3FY7WQqAYUL3bbDocoEdFwwl01gBRLaBJpV2m9~7P-po0U91eSDQnvZsz78UBoys9mIftcMc7I1eqv2dKCtplu2eLNHmRVkN06tvNR3pNrQdZ036K~Z4E8J7BviHurU80-u3qsitV~re9JpmvAQQzfRPFJIhNDRMrVHcjEFIknu7lz2QC30zzeUEOA7dkKwMLF7w-zAabWU~~ZvSFPdk42qWXUujJX3BQDajOQDmdXIJtPlCFO~kjtpIQbGHWP1sZjsbHfYqzKTHkkSrVQNDNytCDLkk80VxwSsD6H~G742S3w3y0EXeplYqh1XbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":185,"name":"Collective Behavior","url":"https://www.academia.edu/Documents/in/Collective_Behavior"},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":8383,"name":"Pattern Formation","url":"https://www.academia.edu/Documents/in/Pattern_Formation"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":235046,"name":"Single Cell","url":"https://www.academia.edu/Documents/in/Single_Cell"},{"id":513697,"name":"Ripple","url":"https://www.academia.edu/Documents/in/Ripple"},{"id":613465,"name":"Statistical models","url":"https://www.academia.edu/Documents/in/Statistical_models"},{"id":910910,"name":"Myxobacteria","url":"https://www.academia.edu/Documents/in/Myxobacteria"},{"id":2756523,"name":"discrete model","url":"https://www.academia.edu/Documents/in/discrete_model"},{"id":3646021,"name":"Standing Wave","url":"https://www.academia.edu/Documents/in/Standing_Wave"}],"urls":[{"id":43705341,"url":"http://link.aps.org/article/10.1103/PhysRevLett.89.078101"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "96611e6ef6166149cb931daa435868e6ff13978a2ac37a84bed2e340caa5d87e", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="s66vbmpwdOfNVIbcFtdVJaRQDs7660nmoZcsSoqaZvCPkqraBZkWBty2RYVLbaYSijUgPHUTWcZBgWqpQk8KcA==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://independent.academia.edu/DeutschAndreas" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="iNMry8UE4qX8z0nLAf1ZzJ05mFLw7eoRFrohvhNiS+C07y5/qu2ARO0tipJcR6r7s1y2oH8V+jH2rGdd27cnYA==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>