<?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>2026-09-20T01:09:57Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/57782" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/57782</identifier><datestamp>2022-01-13T07:53:45Z</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">Bruce R. Zetter and Robert S. Langer.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Mu, Chunyao Jenny</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Harvard University--MIT Division of Health Sciences and Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Harvard University--MIT Division of Health Sciences and Technology</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-08-31T14:38:34Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-08-31T14:38:34Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/57782</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">636045553</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2010.</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. 131-147).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Prostate cancer persists as a major public health issue in the United States and remains the second leading cause of cancer death in men. Early detection and disease monitoring in prostate cancer can significantly improve a patient's prognosis. The advent of prostate-specific antigen (PSA) screening has allowed physicians to monitor the levels of a specific protein, or biomarker, as a correlate of disease progression. This thesis focuses on optical detection of prostate tumors through the development of biomarker-targeted molecular imaging probes. In the first part of this work, engineered human prostate cancer cell lines were developed and characterized to determine the dynamics of post-translational processing for PSA proteolytic activity and to establish potential small animal models for validating protease-activatable imaging probes. Target-activatable gold nanoparticle imaging probes that can be self-assembled in a one-step reaction were then developed to detect biomarker proteases in vivo. The activated probes demonstrated a 5 to 8-fold fluorescence signal amplification, extended circulation time, and high image contrast in a mouse tumor model. Lastly, differential phage display selection was performed on human prostate cancer cells with low and high metastatic potentials to (1) identify cell-surface biomarkers specific to highly aggressive tumors, and (2) develop molecular imaging probes for detecting prostate cancer metastases.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">(cont.) One peptide, LN4P-1, demonstrated preferential binding to highly metastatic PC3M-LN4 cells and identified a highly expressed protein on their cell surface. Fluorescently labeled LN4P-1 was able to detect PC3MLN4 tumors in vivo. In summary, this thesis outlines the development of molecular imaging probes for targeting tumors both at the primary site, through evaluation of biomarker protease activity, and at the metastatic site, through affinity-based analysis of biomarker expression.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Chunyao Jenny Mu.</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">147 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 
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">Harvard University--MIT Division of Health Sciences and Technology.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Nanomaterials for the detection of cancer-associated biomarkers</dim:field>
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   	&lt;Title>Nanomaterials for the detection of cancer-associated biomarkers&lt;/Title>
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   	&lt;PublicationDate>2010&lt;/PublicationDate>
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        	&lt;DisplayName>Mu, Chunyao Jenny&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>Harvard University--MIT Division of Health Sciences and Technology.&lt;/Keyword>
   	&lt;Abstract>Prostate cancer persists as a major public health issue in the United States and remains the second leading cause of cancer death in men. Early detection and disease monitoring in prostate cancer can significantly improve a patient&amp;apos;s prognosis. The advent of prostate-specific antigen (PSA) screening has allowed physicians to monitor the levels of a specific protein, or biomarker, as a correlate of disease progression. This thesis focuses on optical detection of prostate tumors through the development of biomarker-targeted molecular imaging probes. In the first part of this work, engineered human prostate cancer cell lines were developed and characterized to determine the dynamics of post-translational processing for PSA proteolytic activity and to establish potential small animal models for validating protease-activatable imaging probes. Target-activatable gold nanoparticle imaging probes that can be self-assembled in a one-step reaction were then developed to detect biomarker proteases in vivo. The activated probes demonstrated a 5 to 8-fold fluorescence signal amplification, extended circulation time, and high image contrast in a mouse tumor model. Lastly, differential phage display selection was performed on human prostate cancer cells with low and high metastatic potentials to (1) identify cell-surface biomarkers specific to highly aggressive tumors, and (2) develop molecular imaging probes for detecting prostate cancer metastases.&lt;/Abstract>
   	&lt;Abstract>(cont.) One peptide, LN4P-1, demonstrated preferential binding to highly metastatic PC3M-LN4 cells and identified a highly expressed protein on their cell surface. Fluorescently labeled LN4P-1 was able to detect PC3MLN4 tumors in vivo. In summary, this thesis outlines the development of molecular imaging probes for targeting tumors both at the primary site, through evaluation of biomarker protease activity, and at the metastatic site, through affinity-based analysis of biomarker expression.&lt;/Abstract>
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