<?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>2026-09-18T19:46:51Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/74430" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/74430</identifier><datestamp>2022-01-13T07:54:36Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131024</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">Sangeeta Bhatia and Scott Manalis.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Abudayyeh, Omar O</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-10-26T18:08:24Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-10-26T18:08:24Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/74430</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">813051294</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.</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. 61-63).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Many biomarker-based diagnostics have poor predictive value because of their dependence on naturally occurring endogenous biomolecules to indicate disease. This work presents a diagnostic platform that uses nanoparticles to profile underlying proteolytic signatures of diseases. In this thesis, work is presented on long circulating peptide-nanoparticle probes that can survey, sense, and remotely report on dysregulated protease activities in cancer. In this strategy, iron oxide nanoparticles are utilized as chaperons to deliver protease-specific peptide libraries to tumors whereupon selective cleavage by active proteases releases peptide fragments that are cleared by the renal system into the urine. These peptide fragments are pre-designed with internal photolabile triggers that un-cage isobaric peptide mass tags optimized for multiplexed LC MS/MS quantification. Results demonstrate that such peptide 'synthetic biomarker' panels uncover unique proteolytic signatures that can be correlated with disease states, allowing for the detection of cancer and potential long-term monitoring of disease using an implantable form. This concept of administering prodiagnostic reagents and analyzing remote reporters is amenable to a broad range of protease-dependent complex diseases, such as liver fibrosis and coagulopathies, and infectious disease.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Omar O. Abudayyeh.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.B.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">63 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">M.I.T. theses are protected by &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
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">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Nanoparticle-chaperoned urinary 'synthetic biomarkers' for profiling proteases in cancer</dim:field>
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   	&lt;Title>Nanoparticle-chaperoned urinary &amp;apos;synthetic biomarkers&amp;apos; for profiling proteases in cancer&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Abudayyeh, Omar O&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>Many biomarker-based diagnostics have poor predictive value because of their dependence on naturally occurring endogenous biomolecules to indicate disease. This work presents a diagnostic platform that uses nanoparticles to profile underlying proteolytic signatures of diseases. In this thesis, work is presented on long circulating peptide-nanoparticle probes that can survey, sense, and remotely report on dysregulated protease activities in cancer. In this strategy, iron oxide nanoparticles are utilized as chaperons to deliver protease-specific peptide libraries to tumors whereupon selective cleavage by active proteases releases peptide fragments that are cleared by the renal system into the urine. These peptide fragments are pre-designed with internal photolabile triggers that un-cage isobaric peptide mass tags optimized for multiplexed LC MS/MS quantification. Results demonstrate that such peptide &amp;apos;synthetic biomarker&amp;apos; panels uncover unique proteolytic signatures that can be correlated with disease states, allowing for the detection of cancer and potential long-term monitoring of disease using an implantable form. This concept of administering prodiagnostic reagents and analyzing remote reporters is amenable to a broad range of protease-dependent complex diseases, such as liver fibrosis and coagulopathies, and infectious disease.&lt;/Abstract>
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