<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T17:49:27Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/91122" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/91122</identifier><datestamp>2026-06-16T18:53:08Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Rudolf Jaenisch.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Cheng, Wu Albert</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Computational and Systems Biology Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Computational and Systems Biology Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-10-21T17:27:36Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-10-21T17:27:36Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/91122</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">892972629</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Computational and Systems Biology Program, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Transmission of information from DNA to RNA to protein underlies the core of modem life forms. The advance in sequencing and genetic technologies has revolutionized the study of molecular biology, genetics and developmental biology enabling delineation of biological processes in unprecedented details. Through the study of epigenetics and posttranscriptional regulation of gene expression by high-throughput sequencing technologies in several biological processes, namely embryonic stem cells, somatic reprogramming, erythroid differentiation, epithelial-mesenchymal transition and cancer metastasis, this thesis work has identified novel players and regulatory mechanisms underlying these developmental processes and diseases. Furthermore, an attempt to engineer CRISPRzymes - protein fusions of RNA-guided DNA binding dCas9 - will enable experiments to directly test biological processes at defined genomic loci and expands the toolbox for synthetic biology and potentially opens up opportunities for novel therapeutics.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Wu Albert Cheng.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">309 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Computational and Systems Biology Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Epigenetic and post-transcriptional regulation of gene expression in pluripotent stem cells, differentiation and metastasis</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Epigenetic and post-transcriptional regulation of gene expression in pluripotent stem cells, differentiation and metastasis&lt;/Title>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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        	&lt;DisplayName>Cheng, Wu Albert&lt;/DisplayName>
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    &lt;Keyword>Computational and Systems Biology Program.&lt;/Keyword>
   	&lt;Abstract>Transmission of information from DNA to RNA to protein underlies the core of modem life forms. The advance in sequencing and genetic technologies has revolutionized the study of molecular biology, genetics and developmental biology enabling delineation of biological processes in unprecedented details. Through the study of epigenetics and posttranscriptional regulation of gene expression by high-throughput sequencing technologies in several biological processes, namely embryonic stem cells, somatic reprogramming, erythroid differentiation, epithelial-mesenchymal transition and cancer metastasis, this thesis work has identified novel players and regulatory mechanisms underlying these developmental processes and diseases. Furthermore, an attempt to engineer CRISPRzymes - protein fusions of RNA-guided DNA binding dCas9 - will enable experiments to directly test biological processes at defined genomic loci and expands the toolbox for synthetic biology and potentially opens up opportunities for novel therapeutics.&lt;/Abstract>
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