Deep Sequencing Approaches to Antibody Discovery

<!DOCTYPE html> <html lang="en"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-9F3B5VV3T3"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-9F3B5VV3T3'); </script> <meta charset="utf-8"> <title> Deep Sequencing Approaches to Antibody Discovery | Bentham Science </title> <meta content="IE=edge" http-equiv="X-UA-Compatible"> <meta content="width=device-width, initial-scale=1" name="viewport">  <meta content="hHatLQYyiR1L8CWeZm1D7DLEmj3C06OGfRqSgdRS" name="csrf-token">  <meta name="description" content="Antibodies have become one of the dominant therapeutic platforms due to their safety, specificity, and efficacy. Owing to their massive potential diversit" /> <meta name="keywords" content="Deep Sequencing Approaches to Antibody Discovery"> <meta property="og:type" content="website" /> <meta property="og:title" content="Deep Sequencing Approaches to Antibody Discovery" /> <meta property="og:url" content="https://www.eurekaselect.com/article/55924" /> <meta property="og:image" content="http://www.eurekaselect.com/images/bentham/CDDT_0.gif" /> <meta property="og:description" content="Antibodies have become one of the dominant therapeutic platforms due to their safety, specificity, and efficacy. Owing to their massive potential diversity intrinsic to their structure, the number of possible different molecules that could be generated and analyzed from natural or synthetic systems is almost limitless. However, even with vast improvements in automation, classic antibody generation and analysis systems are severely limited in the number of molecules that can be interrogated during a typical discovery campaign. When one considers more complex target systems, along with the desire to isolate antibodies with very unique characteristics, the chances are very low that these systems will be successful. Next generation sequencing technologies (also referred to as “deep sequencing”) allow for the analysis of single molecules in millions in a very short period of time. By applying these deep sequencing technologies to antibody discovery, we now have the ability to look for very specific molecules with very unique properties and activities, further our understanding of species and strain specific repertoires, and can now begin to use sequence information to identify function. The application of these technologies is opening the door to the discovery of next generation antibody therapeutics." /> <meta property="og:site_name" content="http://www.eurekaselect.com" /> <meta name="citation_title" content="Deep Sequencing Approaches to Antibody Discovery" /> <meta name="citation_author" content="Michael F. Naso" /> <meta name="citation_author" content="Jin Lu" /> <meta name="citation_author" content="Tadas Panavas" /> <meta name="citation_publish_on" content="2013-09-10 " /> <meta name="citation_journal_title" content="Current Drug Discovery Technologies"> <meta name="citation_volume" content="11"> <meta name="citation_issue" content="1"> <meta name="citation_firstpage" content="85"> <meta name="citation_lastpage" content="95"> <meta name="citation_pdf_url" content="http://www.eurekaselect.com/article/55924"> <meta name="citation_doi" content="10.2174/15701638113106660040" /> <script defer="" src="https://www.eurekaselect.com/js/app.js"></script> <script type="text/javascript" src="https://www.eurekaselect.com/js/jquery.min.js"></script>  <script src="https://www.eurekaselect.com/js/all.min.js"></script>   <link href="https://www.eurekaselect.com/css/bootstrap.min.css" rel="stylesheet"> <link href="https://www.eurekaselect.com/css/style.css" media="all" rel="stylesheet" type="text/css"> 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Torchilin</b><br>Center for Pharmaceutical Biotechnology and Nanomedicine<br>Northeastern University<br>Boston, Massachusetts<br>United States">Editor-in-Chief <i class="fas fa-angle-double-right"></i></a> <p>ISSN (Print): 1570-1638 <br> ISSN (Online): 1875-6220 </p> </div> </div> </div> <div class="col-md-12 mt-3"> <a href="https://www.eurekaselect.com" class="btn btn-outline-light btn-sm">Back</a> <div class="dropdown d-inline"> <button class="btn btn-light btn-sm dropdown-toggle" type="button" id="dropdownMenuButton" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Journal </button> <div class="dropdown-menu" aria-labelledby="dropdownMenuButton"> <a class="dropdown-item" href="https://www.eurekaselect.com/journal/68">Journal Home</a> <a class="dropdown-item" href="/journal/68/about-journal">About Journal</a> <a class="dropdown-item" href="/journal/68/editorial-board">Editorial Board</a> <a class="dropdown-item" href="http://www.currentdrugdiscoverytechnologies.com/" target="_blank">Journal Insight</a> <a class="dropdown-item" href="/journal/68/current-issue">Current Issue </a> <a class="dropdown-item" href="https://www.eurekaselect.com/journal/68">Volumes/Issues</a> </div> </div> <a href="https://www.eurekaselect.com/subscribe-to-this-journal/68" class="btn btn-light btn-sm">Subscribe</a> </div> </div> </div> <div id="side-b" class="col-md-7"> <span class="badge badge-pill badge-info mb-2"></span> <h1>Deep Sequencing Approaches to Antibody Discovery</h1> <span class="l-h-3"><strong>Author(s):</strong> Michael F. Naso, Jin Lu and Tadas Panavas </span> <div class="row"> <div class="col-md-8"> <p>Volume 11, Issue 1, 2014 </p>  <p><strong>Page:</strong> [85 - 95] <span class="float-right"><strong>Pages:</strong> 11 </span></p> <p><strong>DOI:</strong> <a href="http://dx.doi.org/10.2174/15701638113106660040" class="btn-link">10.2174/15701638113106660040</a></p> <p><strong>Price:</strong> $65</a></p> </div> <form method="POST" action="https://www.eurekaselect.com/cart" id="addtocartForm"> <input type="hidden" name="_token" value="hHatLQYyiR1L8CWeZm1D7DLEmj3C06OGfRqSgdRS" autocomplete="off"> <input type="hidden" name="param" value="eyJpdiI6IlZ5M0RxSmZ4YURNVFEySU5ZWllxM3c9PSIsInZhbHVlIjoiWmtpdXovQjA0TmtzbEdQa0dMblJRUT09IiwibWFjIjoiZjNiNDhhMGVjZGE1MTE4Y2M5ZGZlMWUxMjAyOGQ1NTMxNGMyYWQ0NDNhMmM5NjExZGU3Nzc4YTc2ZDhjNTI5NCIsInRhZyI6IiJ9"> <div class="col-md-4 text-right"> <button type="submit" id="addcartbtn" class="btn btn-download hvr-icon-hang">Purchase<br>PDF<br><i class="fas fa-cart-plus hvr-icon"></i></button> </div> </form> </div> </div> </div> </div> </section>   <main id="article"> <section> <div class="container"> <div class="row"> <div class="col-md-8">  <div class="row text-center mb-4"> <div class="col-md-12 mb-2"> <a href="https://bit.ly/4hjxxkz" target="_blank"><img src="/Image/eyJpdiI6Iit5OWd6UGdjZTg2dC9aV1hoelQ1SWc9PSIsInZhbHVlIjoiSVFHYmNybUR5UzVTK2p5TVpEYmRBQmE0K1hJa3hzeTFuZzBmN2VqYVcxdTdxNFpaTDk4NXJtUk5xMVZsQ09HbElac3hYQ1E4WDdNc0RWQTlPa2MvWkorSk1JR2luOWJRUHp3aUVxN201c2U5N2JnNXR6bmY5U09ueVhMVkZzQXFZaEpjVzBNT0VTOEtDVkg2NDRlcDhRPT0iLCJtYWMiOiI2NjYxNGM1ZTA1N2NlMWNlZDc4OTk5YjkwODI0OGE5ZWQ5NjkwMGQ2MzMwMTU2YmI5YWFlY2UyM2ZiMDIyOGI0IiwidGFnIjoiIn0=" alt="Open Access Journals Promotions 2" class="img-fluid"></a> </div> </div>  <div id="abstract" class="card bigbox-hvr-slow"> <div class="card-header"> <h5>Abstract</h5> </div> <div class="card-body"> <p class="text-justify"> Antibodies have become one of the dominant therapeutic platforms due to their safety, specificity, and efficacy. Owing to their massive potential diversity intrinsic to their structure, the number of possible different molecules that could be generated and analyzed from natural or synthetic systems is almost limitless. However, even with vast improvements in automation, classic antibody generation and analysis systems are severely limited in the number of molecules that can be interrogated during a typical discovery campaign. When one considers more complex target systems, along with the desire to isolate antibodies with very unique characteristics, the chances are very low that these systems will be successful. Next generation sequencing technologies (also referred to as “deep sequencing”) allow for the analysis of single molecules in millions in a very short period of time. By applying these deep sequencing technologies to antibody discovery, we now have the ability to look for very specific molecules with very unique properties and activities, further our understanding of species and strain specific repertoires, and can now begin to use sequence information to identify function. The application of these technologies is opening the door to the discovery of next generation antibody therapeutics. </p> <p><strong>Keywords: </strong> <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue=Antibody discovery">Antibody discovery</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= biotherapeutic"> biotherapeutic</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= deep sequencing"> deep sequencing</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= diversity"> diversity</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= phage display"> phage display</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= rodent immunization."> rodent immunization.</a> </p> </div> </div> <br>  <div class="row mx-0"> <div class="col-lg-auto download-bar text-sm-center p-2 mr-md-3 bg-siteblue rounded"> <div class="btn-group"> <form id="markItemForm" method="POST" action="https://www.eurekaselect.com/marklist"> <input type="hidden" name="_token" value="hHatLQYyiR1L8CWeZm1D7DLEmj3C06OGfRqSgdRS" autocomplete="off"> <input type="hidden" name="param" value="eyJpdiI6IjE0RnV4RDdiNjQxcHFrZWNFZFNpL2c9PSIsInZhbHVlIjoiYmNhVitGR1hkK1JaZGd1ZWtzV1Q0Zz09IiwibWFjIjoiNWQzOGE2OGY5ZmJjOGE1ZWE4M2MwMWYwM2QzYTJjZTBjYjk5NWEyNjgyMDRhNGI1MGVlYjA5OGY4Y2QxMzc1NiIsInRhZyI6IiJ9"> <input type="hidden" name="itemtype" value="1"> <button type="submit" id="markitembtn" class="btn btn-light bg-white btn-sm">Mark Item</button> </form> </div> <div class="btn-group"> <form id="addtocartForm" method="POST" action="https://www.eurekaselect.com/cart"> <input type="hidden" name="_token" value="hHatLQYyiR1L8CWeZm1D7DLEmj3C06OGfRqSgdRS" autocomplete="off"> <input type="hidden" name="param" value="eyJpdiI6Ikpxb2o2NEVTbXhBaytGZE5nTCs0eHc9PSIsInZhbHVlIjoicEw4NjB5ZlhLYjJQSmxNclZJd2pBQT09IiwibWFjIjoiZmY2N2NmZWNmOGI4ZThmODU0MjlmNGQ5Nzk5YjgyOTcxMDNkNDIxZTE2ODNmMWEyMTAwNzAwMjY5MjBiZDA2NyIsInRhZyI6IiJ9"> <button type="submit" id="addcartbtn" class="btn btn-light bg-white btn-sm">Purchase PDF</button> </form> </div> <a class="btn btn-light bg-white btn-sm" href="javascript:void(0);" id="RightsLinkPopUp">Rights & Permissions</a> <a class="btn btn-light bg-white btn-sm" href="javascript:void(0);" data-toggle="modal" data-target="#PrintWindow">Print</a> <a class="btn btn-light bg-white btn-sm" href="javascript:void(0);" data-toggle="modal" data-target="#ExportWindow">Cite</a>  </div>  <div class="modal fade" id="PrintWindow" role="dialog"> <div class="modal-dialog modal-lg"> <div class="modal-content"> <div class="modal-header"> <h4 class="modal-title" id="modalLabelprimary">Current Drug Discovery Technologies</h4> </div> <div class="modal-body "> <p><strong>Title:</strong>Deep Sequencing Approaches to Antibody Discovery</p> <p><strong>Volume:</strong> 11 <strong>Issue:</strong> 1 </p> <p><strong>Author(s): </strong>Michael F. Naso, Jin Lu and Tadas Panavas</p> <p><strong>Affiliation: </strong><ul></ul><ul></ul><ul></ul></p> <p><strong>Keywords:</strong> <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue=Antibody discovery">Antibody discovery</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= biotherapeutic"> biotherapeutic</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= deep sequencing"> deep sequencing</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= diversity"> diversity</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= phage display"> phage display</a>, <a target="_blank" class="btn-link" href="https://www.eurekaselect.com/search?searchvalue= rodent immunization."> rodent immunization.</a> </p> <p><strong>Abstract:</strong> Antibodies have become one of the dominant therapeutic platforms due to their safety, specificity, and efficacy. Owing to their massive potential diversity intrinsic to their structure, the number of possible different molecules that could be generated and analyzed from natural or synthetic systems is almost limitless. However, even with vast improvements in automation, classic antibody generation and analysis systems are severely limited in the number of molecules that can be interrogated during a typical discovery campaign. When one considers more complex target systems, along with the desire to isolate antibodies with very unique characteristics, the chances are very low that these systems will be successful. Next generation sequencing technologies (also referred to as “deep sequencing”) allow for the analysis of single molecules in millions in a very short period of time. By applying these deep sequencing technologies to antibody discovery, we now have the ability to look for very specific molecules with very unique properties and activities, further our understanding of species and strain specific repertoires, and can now begin to use sequence information to identify function. The application of these technologies is opening the door to the discovery of next generation antibody therapeutics.</p> </div> <div class="modal-footer"> <button type="button" class="btn btn-outline-dark" data-dismiss="modal">Close</button> <button type="button" class="btn btn-outline-primary" data-dismiss="modal" onclick="SendForPrint()">Print this page</button> </div> </div> </div> </div>   <div class="modal fade" id="ExportWindow" role="dialog"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <h4 class="modal-title">Export Options</h4> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> <div class="modal-body"> <form method="post" action="https://www.eurekaselect.com/citation" enctype="multipart/form-data" accept-charset="UTF-8" id="export-citation-form"> <input type="hidden" name="_token" value="hHatLQYyiR1L8CWeZm1D7DLEmj3C06OGfRqSgdRS"> <input type="hidden" name="article_id" value="55924"> <div class="form-group"> <label><strong>Export File:</strong> </label> <div class="custom-control custom-radio" id="edit-export-file-ris-wrapper"> <input type="radio" id="edit-export-file-ris" name="export_file" value="ris" checked="checked" class="custom-control-input"> <label class="custom-control-label" for="edit-export-file-ris"> RIS (for EndNote, Reference Manager, ProCite)</label> </div> <div class="custom-control custom-radio" id="edit-export-file-bibtex-wrapper"> <input type="radio" id="edit-export-file-bibtex" name="export_file" value="bibtex" class="custom-control-input"> <label class="custom-control-label" for="edit-export-file-bibtex"> BibTeX</label> </div> <div class="custom-control custom-radio" id="edit-export-file-text-wrapper"> <input type="radio" id="edit-export-file-text" name="export_file" value="text" class="custom-control-input"> <label class="custom-control-label" for="edit-export-file-text"> Text</label> </div> </div> <div class="form-group"> <label><strong>Content:</strong> </label> <div class="custom-control custom-radio" id="edit-content-citation-wrapper"> <input type="radio" id="edit-content-citation" name="content" value="citation" class="custom-control-input"> <label class="custom-control-label" for="edit-content-citation"> Citation Only</label> </div> <div class="custom-control custom-radio" id="edit-content-citation-abstract-wrapper"> <input type="radio" id="edit-content-citation-abstract" name="content" value="citation_abstract" checked="checked" class="custom-control-input"> <label class="custom-control-label" for="edit-content-citation-abstract"> Citation and Abstract</label> </div> <input type="submit" name="op" id="edit-export" value="Export" onclick="javascript:return checkradio()" class="btn btn-outline-primary float-right"> <input type="hidden" name="export_file_hidden" id="edit-export-file-hidden" value=""> <input type="hidden" name="content_hidden" id="edit-content-hidden" value=""> <input type="hidden" name="form_build_id" id="form-278487bec247e2f69b37fa03b10b8556" value="form-278487bec247e2f69b37fa03b10b8556"> <input type="hidden" name="form_id" id="edit-export-citation-form" value="export_citation_form"> </div> </form> </div> </div> </div> </div>   <div class="modal fade" id="CiteWindow" role="dialog"> <div class="modal-dialog modal-lg"> <div class="modal-content"> <div class="modal-header"> <h4 class="modal-title">About this article</h4> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> <div class="modal-body "> <p><strong>Cite this article as:</strong></p> <p> Naso F. Michael, Lu Jin and Panavas Tadas, Deep Sequencing Approaches to Antibody Discovery, Current Drug Discovery Technologies 2014; 11 (1) . <a href="https://dx.doi.org/10.2174/15701638113106660040">https://dx.doi.org/10.2174/15701638113106660040</a> </p> <table class="table"> <tr> <td><b>DOI</b><br><a href="https://dx.doi.org/10.2174/15701638113106660040">https://dx.doi.org/10.2174/15701638113106660040</a></td> <td><b>Print ISSN</b><br>1570-1638</td> </tr> <tr> <td><b>Publisher Name</b><br>Bentham Science Publisher</td> <td><b>Online ISSN</b><br>1875-6220</td> </tr> </table> </div> <div class="modal-footer"> <button type="button" class="btn btn-outline-dark" data-dismiss="modal">Close</button> <a class="btn btn-outline-primary" href="/journal/68/about-journal" target="_blank">About this journal</a> </div> </div> </div> </div>  <div class="col pl-md-0 mt-xs-2 pt-md-2"> <span class="sharethis-inline-share-buttons st-left st-inline-share-buttons st-animated" data-url="https://www.eurekaselect.com/article/55924" data-title="Deep Sequencing Approaches to Antibody Discovery"></span> </div>   </div> <div class="row mt-4 mb-4 mb-md-0 d-none d-md-block" id="related"> <div class="col-md-12"> <h3>Call for Papers in Thematic Issues</h3> <div class="row" id="reco-article"> <div class="col-md-6 m-0 mt-0 mb-2"> <div class="card shadow h-100 m-1"> <div class="card-header bg-white pb-1"> <label class="mr-2"><b>Submission closes on :</b></label> <span class="text-black"> 31 December, 2025 </span> </div> <div class="card-body py-2"> <a class="m-0 p-0" href="https://www.eurekaselect.com/call-for-papers-detail/6225/specialissue"> <h5 class="m-0 p-0">Advancements in Computational Methods for Drug Design</h5> </a> <p class="text-black-50 mt-2 mb-0">This thematic issue delves into the cutting-edge computational methodologies revolutionizing drug design. Emphasizing the integration of in silico techniques, this collection highlights advancements in some computational methods, as: molecular docking, molecular dynamics, QSAR (Quantitative Structure-Activity Relationship) and free energy calculations. These approaches enhance the efficiency of drug discovery, reduce costs, ...<a href="/call-for-papers-detail/6225/specialissue">read more </a></p><br> </div> <div class="card-footer bg-white"> <strong> Guest Editor(s):</strong> <span>Dr. José Rogério A. 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This issue will highlight cutting-edge research and ...<a href="/call-for-papers-detail/6440/specialissue">read more </a></p><br> </div> <div class="card-footer bg-white"> <strong> Guest Editor(s):</strong> <span>Dr. Dibyajit Lahiri</span> </div> </div> </div> <div class="col-md-6 m-0 mt-0 mb-2"> <div class="card shadow h-100 m-1"> <div class="card-header bg-white pb-1"> <label class="mr-2"><b>Submission closes on :</b></label> <span class="text-black"> 31 December, 2025 </span> </div> <div class="card-body py-2"> <a class="m-0 p-0" href="https://www.eurekaselect.com/call-for-papers-detail/6542/specialissue"> <h5 class="m-0 p-0">Novel drug delivery therapeutics: Opportunities and challenges for combating diseases</h5> </a> <p class="text-black-50 mt-2 mb-0">The field of drug delivery therapeutics has undergone significant transformation with the emergence of innovative technologies designed to enhance therapeutic efficacy and patient outcomes. 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