<?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>2026-09-19T00:41:44Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/81664" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/81664</identifier><datestamp>2022-01-13T07:53:54Z</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">Forest M. White.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Bryson, Bryan David</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Biological Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Biological Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-10-24T17:41:15Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-10-24T17:41:15Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/81664</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">859883403</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biological Engineering, 2013.</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 (p. 173-175).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Lysine acetylation is a prevalent post-translational modification whose multi-varied biological roles have recently emerged. While having all the necessary components of a signaling network, lysine acetylation studies have been limited to a small subset of proteins and pathways. Using a quantitative unbiased mass spectrometry approach, we explored the role of growth factor stimulation on lysine acetylation. Although the growth factors bind receptor tyrosine kinases, growth factor stimulation resulted in rapid and dynamic changes in lysine acetylation. Furthermore, we demonstrated that short-term HDAC inhibition alters phosphotyrosine-signaling networks. To better understand this behavior, a suite of biochemical and computational methods were developed. Bromodomains were engineered to explore binding preferences using degenerate peptide arrays as well as develop acetyllysine affinity reagents as an alternative to anti-acetyllysine antibodies. Additionally, bioorthogonal proteomics were employed to identify acetyltransferase substrates. Taken together, the knowledge generated and the methods developed provide a toolkit for the analysis of lysine acetylation networks in the context of many biological processes as well as diseases.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Bryan David Bryson.</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">175 p.</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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">Biological Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Quantitative approaches to probe the acetylproteome</dim:field>
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   	&lt;Title>Quantitative approaches to probe the acetylproteome&lt;/Title>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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        	&lt;DisplayName>Bryson, Bryan David&lt;/DisplayName>
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    &lt;Keyword>Biological Engineering.&lt;/Keyword>
   	&lt;Abstract>Lysine acetylation is a prevalent post-translational modification whose multi-varied biological roles have recently emerged. While having all the necessary components of a signaling network, lysine acetylation studies have been limited to a small subset of proteins and pathways. Using a quantitative unbiased mass spectrometry approach, we explored the role of growth factor stimulation on lysine acetylation. Although the growth factors bind receptor tyrosine kinases, growth factor stimulation resulted in rapid and dynamic changes in lysine acetylation. Furthermore, we demonstrated that short-term HDAC inhibition alters phosphotyrosine-signaling networks. To better understand this behavior, a suite of biochemical and computational methods were developed. Bromodomains were engineered to explore binding preferences using degenerate peptide arrays as well as develop acetyllysine affinity reagents as an alternative to anti-acetyllysine antibodies. Additionally, bioorthogonal proteomics were employed to identify acetyltransferase substrates. Taken together, the knowledge generated and the methods developed provide a toolkit for the analysis of lysine acetylation networks in the context of many biological processes as well as diseases.&lt;/Abstract>
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