Document Zbl 1422.62315

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Alim</a>; <a href="/authors/etman.nehal" title="Author Profile">Etman, Nehal</a></div> <h2 class="title"> <strong>A statistical approach for understanding the plethora of miRNAs and mRNAs interplay.</strong> <i>(English)</i> <a class="label nowrap" href="/1422.62315">Zbl 1422.62315</a> </h2> <div class="source"> <a href="/serials/2845" title="Journal Profile">Adv. Appl. Stat.</a> <a href="/?q=in%3A433602" title="Articles in this Issue">53, No. 6, 693-713 (2018)</a>. </div> <div class="abstract">Summary: Gene expression regulation is a vital process in the body to ensure that cells produce the correct amount of proteins when they need them. Any disruption to this regulation can lead to serious consequences, including cancer. Regulation of gene expression includes a wide range of mechanisms that are used by cells to increase or decrease the production of specific gene products. miRNAs are micro molecules that control gene expression by targeting an mRNA and binding to specific sites within the 3’UTR or the 5’UTR and increase or decrease gene expression. The mechanisms by which miRNAs act are not fully understood. The first step toward unraveling the function of a particular miRNA is the identification of its direct targets. Several methods are now available for identifying miRNA target sites, from the modeling of physical interactions to the incorporation of machine learning but the mere presence of a miRNA-binding site is insufficient for predicting target regulation. Up to now, the most studied model in miRNAs is a transcriptional repression (degradation) of mRNA levels and translation. Recent studies have outlined that miRNAs area able not only to repress, but also activate, gene expression, acting on mRNA stability and translation regulation. In this review, we attempt to understand interactions between miRNAs and their targets, the increase or decrease of gene expression when miRNAs bind to specific sites within the 3’UTR of an mRNA. In this sense we propose new computational approaches to predict the positive or negative effect of the miRNAs on the regulation of gene expression.</div> <div class="clear"></div> <div class="classification"> <h3>MSC:</h3> <table><tr> <td> <a class="mono" href="/classification/?q=cc%3A62P10" title="MSC2020">62P10</a> </td> <td class="space"> Applications of statistics to biology and medical sciences; meta analysis </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A62J12" title="MSC2020">62J12</a> </td> <td class="space"> Generalized linear models (logistic models) </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A92D10" title="MSC2020">92D10</a> </td> <td class="space"> Genetics and epigenetics </td> </tr></table> </div><div class="keywords"> <h3>Keywords:</h3><a href="/?q=ut%3Agene+expression+regulation">gene expression regulation</a>; <a href="/?q=ut%3AmicroRNA">microRNA</a>; <a href="/?q=ut%3AmRNA">mRNA</a>; <a href="/?q=ut%3Aseed+match">seed match</a>; <a href="/?q=ut%3Afree+energy">free energy</a>; <a href="/?q=ut%3Alogistic+regression">logistic regression</a></div> <div class="software"> <h3>Software:</h3><a href="/software/11003">aplore3</a>; <a href="/software/13141">categorical</a></div>  <div class="modal fade" id="metadataModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">Cite</h4> </div> <div class="modal-body"> <div class="form-group"> <label for="select-output" class="control-label">Format</label> <select id="select-output" class="form-control" aria-label="Select Metadata format"></select> </div> <div class="form-group"> <label for="metadataText" class="control-label">Result</label> <textarea class="form-control" id="metadataText" rows="10" style="min-width: 100%;max-width: 100%"></textarea> </div> <div id="metadata-alert" class="alert alert-danger" role="alert" style="display: none;">  </div> </div> <div class="modal-footer"> <button type="button" class="btn btn-primary" onclick="copyMetadata()">Copy to clipboard</button> <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> </div> </div> </div> </div> <div class="functions clearfix"> <div class="function">  <a type="button" class="btn btn-default btn-xs pdf" data-toggle="modal" data-target="#metadataModal" data-itemtype="Zbl" data-itemname="Zbl 1422.62315" data-ciurl="/ci/07094548" data-biburl="/bibtex/07094548.bib" data-amsurl="/amsrefs/07094548.bib" data-xmlurl="/xml/07094548.xml" > Cite </a> <a class="btn btn-default btn-xs pdf" data-container="body" type="button" href="/pdf/07094548.pdf" title="Zbl 1422.62315 as PDF">Review PDF</a> </div> <div class="fulltexts"> <span class="fulltext">Full Text:</span> <a class="btn btn-default btn-xs" type="button" href="https://doi.org/10.17654/AS053060693" aria-label="DOI for “A statistical approach for understanding the plethora of miRNAs and mRNAs interplay”" title="10.17654/AS053060693">DOI</a> </div> <div class="sfx" style="float: right;"> </div> </div> <div class="references"> <h3>References:</h3> <table><tr> <td>[1]</td> <td class="space">A. Alan, Categorical Data Analysis, John Wiley and Sons, 2012.</td> </tr><tr> <td>[2]</td> <td class="space">V. Ambros, The functions of animal microRNAs, Nature 431 (2004), 350-355.</td> </tr><tr> <td>[3]</td> <td class="space">D. P. Bartel, MicroRNAs: genomics mechanism and function, Cell 116(2) (2004), 281-297.</td> </tr><tr> <td>[4]</td> <td class="space">D. P. Bartel, Target recognition and regulatory functions, Cell 136(2) (2009), 215-233.</td> </tr><tr> <td>[5]</td> <td class="space">C. R. Bilder and T. M. Loughin, Analysis of Categorical Data with R, 1st ed., Chapman and Hall/CRC, 2014. · <a href="/1320.62001" class="nowrap">Zbl 1320.62001</a></td> </tr><tr> <td>[6]</td> <td class="space">D. W. Hosmer and S. Lemeshow, Applied Logistic Regression, Wiley, New York, 2013. · <a href="/1276.62050" class="nowrap">Zbl 1276.62050</a></td> </tr><tr> <td>[7]</td> <td class="space">D. G. Kleinbaum and M. Klein, Survival Analysis: A Self-learning Text, 3rd ed., Springer, 2012. · <a href="/1093.62090" class="nowrap">Zbl 1093.62090</a></td> </tr><tr> <td>[8]</td> <td class="space">B. P. Lewis, C. B. Burge and D. P. Bartel, Conserved seed pairing, of ten flanked by adenosines, indicates that thousands of human genes are microRNA targets, Cell 120(1) (2005), 15-20.</td> </tr><tr> <td>[9]</td> <td class="space">B. P. Lewis, I. H. Shih, M. W. Jones Rhoades, D. P. Bartel and C. B. Burge, Prediction of mammalian microRNA targets, Cell 115(7) (2003), 787-798.</td> </tr><tr> <td>[10]</td> <td class="space">A. E. Pasquinelli, MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship, J. Orthopaedic Research 13(4) (2012), 271-282.</td> </tr><tr> <td>[11]</td> <td class="space">M. E. Peter, Targeting of mRNAs by multiple miRNAs: The next step, Oncogene 29(15) (2010), 2161-2164.</td> </tr><tr> <td>[12]</td> <td class="space">N. Rajewsky, MicroRNA target predictions in animals, Nature Genetics 38 (2006), 508-513.</td> </tr><tr> <td>[13]</td> <td class="space">B. G. Tabachnick and L. S. Fidell, Using Multivariate Statistics, 6th ed., Pearson, Boston, 2013.</td> </tr><tr> <td>[14]</td> <td class="space">J. Todman, H. Staines and D. Pat, Approaching Multivariate Analysis: A Practical Introduction, 2nd ed., John Wiley and Sons, 2007.</td> </tr><tr> <td>[15]</td> <td class="space">W. Xu, A. San Lucas, Z. Wang and Y. Liu, Identifying microRNA targets in different gene regions, BMC Bioinformatics 15(7) (2014), 261-275.</td> </tr></table> <div class="reference_disclaimer"> This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching. </div> </div></article> </div></div> </div> </div> <div class="clearfix"></div> </div> </div> <div id="foot"><div class="copyright"> © 2025 <a target="fiz" href="https://www.fiz-karlsruhe.de/en">FIZ Karlsruhe GmbH</a> <a href="/privacy-policy/">Privacy Policy</a> <a href="/legal-notices/">Legal Notices</a> <a href="/terms-conditions/">Terms & Conditions</a> <div class="info"> <ul class="nav"> <li class="mastodon"> <a href="https://mathstodon.xyz/@zbMATH" target="_blank" class="no-new-tab-icon"> <img src="/static/mastodon.png" title="zbMATH at Mathstodon (opens in new tab)" alt="Mastodon logo"> </a> </li> </ul> </div> </div> <div class="clearfix" style="height: 0px;"></div> </div> </div> <script src="https://static.zbmath.org/contrib/jquery/1.9.1/jquery.min.js"></script> <script src="https://static.zbmath.org/contrib/jquery-caret/1.5.2/jquery.caret.min.js"></script> <script src="/static/js/jquery-ui-1.10.1.custom.min.js"></script> <script src="https://static.zbmath.org/contrib/bootstrap/v3.3.7zb1/js/bootstrap.min.js"></script> <script src="https://static.zbmath.org/contrib/bootstrap-lightbox/v0.7.0/bootstrap-lightbox.min.js"></script> <script src="https://static.zbmath.org/contrib/retina/unknown/retina.js"></script> <script src="https://static.zbmath.org/contrib/bootstrap-select/v1.13.14/js/bootstrap-select.min.js"></script> <script> var SCRIPT_ROOT = ""; </script> <script src="/static/scripts.js?v=20240926"> </script> <script src="https://static.zbmath.org/contrib/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ "HTML-CSS": { preferredFont: "TeX", availableFonts: [ "STIX", "TeX" ], linebreaks: { automatic: true }, EqnChunk: (MathJax.Hub.Browser.isMobile ? 10 : 50) }, tex2jax: { processEscapes: true, ignoreClass: "tex2jax_ignore|dno" }, TeX: { Macros: { Aut: "\\operatorname{Aut}", Hom: "\\operatorname{Hom}" }, noUndefined: { attributes: { mathcolor: "#039", //"red", mathbackground: "white", //"#FFEEEE", mathsize: "90%" } } }, messageStyle: "none" }); </script> <script type="text/javascript"> $(document).ready(function() { $("#MathInput").stop(true, true).keyup(function() { $.ajax({ url: "/mwsq/", type: "POST", data: { query : $("#MathInput").val() }, dataType: "text" }) .done(function(xml) { $("#MathPreview").html(xml); $(window).resize(); }); }); var press = jQuery.Event("keyup"); press.ctrlKey = false; press.which = 40; $("#MathInput").trigger(press); }); </script> <div id="new_tab_icon" style="display: none"> <span class="glyphicon glyphicon-new-window" aria-hidden="true"></span><span class="sr-only">(opens in new tab)</span></div> </body> </html>

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