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research.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Research in Wang Lab</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Research Lab, GIBH, CAS">
<meta name="author" content="">
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<body>
<div class="container">
<header class="jumbotron subhead" id="overview">
<h1><font color='#FFC300'>Wang Lab</font></h1>
<p class="lead"><font size=4, color='#FFC300'>Tissue Regeneration and Bioinformatics, GIBH</font></p>
</header>
<div class="masthead">
<div class="navbar">
<div class="navbar-inner">
<div class="container">
<ul class="nav">
<li><a href="index.html">Home</a></li>
<li><a href="people.html">People</a></li>
<li class="active"><a href="#">Research</a></li>
<li><a href="publications.html">Publications</a></li>
<li><a href="resources.html">Resources</a></li>
<li><a href="positions.html">Positions</a></li>
<li><a href="news.html">News</a></li>
<li><a href="contact.html">Contact</a></li>
</ul>
</div>
</div>
</div>
</div>
<hr>
<div class="row-fluid">
<div class="span3 bs-docs-sidebar" id="navparent">
<ul class="nav nav-list bs-docs-sidenav" data-spy="affix" data-offset-top="200" data-offset-bottom="260">
<li><a href="#Research"> Research Interests </a></li>
<li><a href="#Biological"> Biological Interests </a></li>
<li><a class="subhead" href="#Regeneration"> Tissue Regeneration </a></li>
<li><a class="subhead" href="#Fibrosis"> Tissue Fibrosis </a></li>
<li><a class="subhead" href="#Degeneration"> Tissue Degeneration </a></li>
<li><a href="#Computational">Computational Interests</a></li>
<li><a class="subhead" href="#Networks"> Regulatory Networks </a></li>
<li><a class="subhead" href="#Analysis"> Multiomics Analysis </a></li>
<li><a class="subhead" href="#Learning"> Machine Learning </a></li>
</ul>
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<div class="span8 offset1">
<section id="Research">
<div class="page-header">
<h3>Research Interests</h3>
<hr>
<p>    
The research goal of Wang Lab is to reveal the principles of tissue regeneration, to fulfill tissue regeneration, and to utilize regenerative abilities for disease intervention.
<br/>    
During the evolution, different species and tissues have distinct regenerative abilities. We focus on retina and liver to study cross-species regeneration. Some nonmamalian species such as zebrafish have a strong regenerative ability in retinas and liver. In mammals, regenerative ability is lost in retinas but maintained in the liver. Nevertheless, retinas undergo tissue degeneration in elders and liver fibrosis occurs after chronic injury.
<br/>    
To uncover cellular and molecular mechanisms behind these phenomena, we use single-cell sequencing and organoid technologies, develop computational and statistical approaches, and conduct cellular and animal experiments. Wang Lab is devoted to integrating computational analysis and biological experiments to explore tissue regeneration, tissue fibrosis and tissue degeneration.
</p>
</div>
</section>
<section id="Biological">
<div class="page-header">
<h3>Biological Interests</h3>
</div>
<div class="row-fluid">
<div class="span12">
<section id="Regeneration">
<img src="images/energy.jpg" class="float-right" alt="Penatibus"/>
<h4>Tissue Regeneration</h4>
<p>    
Tissue regeneration holds great potential for interfering with tissue fibrosis, degenerative diseases, etc. In zebrafish, Müller glial cells play essential roles in retinal regeneration. Although mammalian retinas contain Müller glia, mammals can not automatically regenerate retinas after injury. It is still unclear which regulatory mechanisms in Müller glia leads to cross-species differences on retinal regeneration.
</p>
</section>
<hr>
<section id="Fibrosis">
<h4>Tissue Fibrosis</h4>
<p>    
Tissue fibrosis is from an excessive accumulation of extracellular matrix components and can affect any organ, including the liver.
</p>
</section>
<hr>
<section id="Degeneration">
<h4>Tissue Degeneration</h4>
<p>    
Tissue degeneration frequently occurs in nervous systems of older people and leads to degenerative diseases such as age-related macular degeneration.
</p>
</section>
</div>
</div>
</section>
<hr>
<section id="Computational">
<div class="page-header">
<h3>Computational Interests</h3>
</div>
<div class="row-fluid">
<div class="span12">
<section id="Networks">
<img src="images/Computational_biology.jpg" class="float-right" alt="Elementum Tempus"/>
<h4>Regulatory Networks</h4>
<p>    
Regulatory networks are used to uncover gene regulatory relationships in diverse biological processes, e.g. tissue regeneration.
</p>
</section>
<hr>
<section id="analysis">
<h4>Multiomics analysis</h4>
<br/>
<p>    
Multiomics analysis including single-cell multiomics is performed to reveal biological insights of tissue regeneration.
</p>
</section>
<hr>
<section id="Learning">
<h4>Machine Learning</h4>
<br/>
<p>    
Machine learning especially deep learning is powerful to predict biomedical outcomes through learning high-throughput sequencing data and large-scale images.
</p>
</section>
</div>
</div>
</section>
<hr>
</div>
</div>
</div>
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