<?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>2026-09-20T10:58:00Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/57682" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/57682</identifier><datestamp>2022-01-13T07:54:37Z</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">Alan P. Jasanoff.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Atanasijevic, Tatjana, Ph. D. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Nuclear Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Nuclear Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-08-30T14:33:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-08-30T14:33:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/57682</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">635521876</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2009.</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">There is a considerable interest in new technologies that allow noninvasive imaging of physiological parameters in living systems, especially in the neuroscience. Magnetic resonance imaging (MRI) is a very powerful tool for neuroimaging, because it can image the tissue noninvasively, in depth, at a good spatial (~100 pm) and temporal (~1s) resolution. In order to study neural activity at a cellular level, it would be of notable significance to combine MRI with calcium-sensitive contrast agents because of the important role of calcium as a second messenger in cellular signaling pathways. Here we describe a family of calcium sensors for MRI based on the conjugation of superparamagnetic iron oxide nanoparticles (SPIOS) to calcium sensing protein calmodulin and its target peptides. In the presence of calcium, interaction between the two protein domains drives the aggregation of SPIOs which results in up to four fold T2 changes. The calcium sensing is reversible and occurs at midpoint of roughly 1 ptM Ca , which makes these contrast agents suitable for imaging of the cytosolic calcium fluctuations in cells. We introduce two generations of these sensors: the first one based on commercial larger SPIOs, and the second one that uses small crosslinked lipid coated nanoparticles (xLCIOs) which have potential to overcome some of the limitations of the prototype sensor, such as inadequate diffusivity and relatively slow kinetic response. When combined with technologies for cellular deliveries of nanoparticles, these sensors and their derivatives may be useful for functional molecular imaging of biological signaling network in live, opaque specimens.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Tatjana Atanasijevic.</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">138 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">Nuclear Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Design and Development of Calcium Sensitive Contrast Agents for fMRI</dim:field>
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   	&lt;Title>Design and Development of Calcium Sensitive Contrast Agents for fMRI&lt;/Title>
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   	&lt;PublicationDate>2009&lt;/PublicationDate>
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        	&lt;DisplayName>Atanasijevic, Tatjana, Ph. D. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Nuclear Science and Engineering.&lt;/Keyword>
   	&lt;Abstract>There is a considerable interest in new technologies that allow noninvasive imaging of physiological parameters in living systems, especially in the neuroscience. Magnetic resonance imaging (MRI) is a very powerful tool for neuroimaging, because it can image the tissue noninvasively, in depth, at a good spatial (~100 pm) and temporal (~1s) resolution. In order to study neural activity at a cellular level, it would be of notable significance to combine MRI with calcium-sensitive contrast agents because of the important role of calcium as a second messenger in cellular signaling pathways. Here we describe a family of calcium sensors for MRI based on the conjugation of superparamagnetic iron oxide nanoparticles (SPIOS) to calcium sensing protein calmodulin and its target peptides. In the presence of calcium, interaction between the two protein domains drives the aggregation of SPIOs which results in up to four fold T2 changes. The calcium sensing is reversible and occurs at midpoint of roughly 1 ptM Ca , which makes these contrast agents suitable for imaging of the cytosolic calcium fluctuations in cells. We introduce two generations of these sensors: the first one based on commercial larger SPIOs, and the second one that uses small crosslinked lipid coated nanoparticles (xLCIOs) which have potential to overcome some of the limitations of the prototype sensor, such as inadequate diffusivity and relatively slow kinetic response. When combined with technologies for cellular deliveries of nanoparticles, these sensors and their derivatives may be useful for functional molecular imaging of biological signaling network in live, opaque specimens.&lt;/Abstract>
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