<?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>2026-09-20T02:49:19Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/17561" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/17561</identifier><datestamp>2022-01-13T07:54:19Z</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">Douglas A. Lauffenburger.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Sarkar, Casim Ali, 1975-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Chemical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Chemical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-06-02T16:11:19Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2005-06-02T16:11:19Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2002</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2002</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/17561</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">52298438</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2002.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Vita.</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">Granulocyte colony-stimulating factor (GCSF) is a cytokine of great clinical importance, with application to elevate neutrophil counts in cancer patients undergoing chemotherapy. GCSF binds to its specific receptor (GCSFR) on bone marrow precursor cells and generates intracellular signals that cause these cells to proliferate and differentiate into mature neutrophils. However, for such cytokines that act as agonists for cell-surface receptors, these complexes undergo trafficking processes that often attenuate the intracellular signals through internalization and degradation. Additionally for GCSF, the bloodstream neutrophils represent a further negative feedback mechanism that limits the potency of the drug, as they also express GCSFR and degrade the drug through receptor-mediated endocytosis. Using the GCSF/GCSFR system, we have developed an effective method for deconvoluting the effects of binding affinity on ligand potency, and this analysis successfully predicts the half-life ranking of combinatorially generated GCSF analogs in culture. Protein structural studies and equilibrium denaturation experiments unexpectedly revealed that GCSF becomes more stable as the pH decreases from 7 to 4 (coincident with the pH range experienced along the endocytic trafficking pathway); however, similar experiments performed on analogs from the deconvolution analysis were consistent with a proposed correlation between decreased structural stability at endosomal pH and enhanced ligand half-life.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">(cont.) We also propose a new method for the rational design of more effective analogs by identifying amino acid substitutions that should reduce receptor binding affinity in intracellular endosomal compartments to yield enhanced sorting to recycling and consequently longer lifetimes in extracellular medium. We successfully demonstrate this approach, which we term 'histidine switching,' for GCSF, employing computationally predicted histidine substitutions to switch protonation states between cell-surface and endosomal pH. Finally, we integrate a cell-level model of GCSF/GCSFR dynamics into an existing pharmacokinetic/pharmacodyamic model to elucidate the relationship between molecular and pharmacological properties of GCSF. The work presented here may provide general principles for cytokine design.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Casim Ali Sarkar.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
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   <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">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Chemical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Cytokine engineering through ligand/receptor dynamics : a study on granulocyte colony-simulating factor</dim:field>
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   	&lt;Title>Cytokine engineering through ligand/receptor dynamics : a study on granulocyte colony-simulating factor&lt;/Title>
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   	&lt;PublicationDate>2002&lt;/PublicationDate>
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        	&lt;DisplayName>Sarkar, Casim Ali, 1975-&lt;/DisplayName>
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    &lt;Keyword>Chemical Engineering.&lt;/Keyword>
   	&lt;Abstract>Granulocyte colony-stimulating factor (GCSF) is a cytokine of great clinical importance, with application to elevate neutrophil counts in cancer patients undergoing chemotherapy. GCSF binds to its specific receptor (GCSFR) on bone marrow precursor cells and generates intracellular signals that cause these cells to proliferate and differentiate into mature neutrophils. However, for such cytokines that act as agonists for cell-surface receptors, these complexes undergo trafficking processes that often attenuate the intracellular signals through internalization and degradation. Additionally for GCSF, the bloodstream neutrophils represent a further negative feedback mechanism that limits the potency of the drug, as they also express GCSFR and degrade the drug through receptor-mediated endocytosis. Using the GCSF/GCSFR system, we have developed an effective method for deconvoluting the effects of binding affinity on ligand potency, and this analysis successfully predicts the half-life ranking of combinatorially generated GCSF analogs in culture. Protein structural studies and equilibrium denaturation experiments unexpectedly revealed that GCSF becomes more stable as the pH decreases from 7 to 4 (coincident with the pH range experienced along the endocytic trafficking pathway); however, similar experiments performed on analogs from the deconvolution analysis were consistent with a proposed correlation between decreased structural stability at endosomal pH and enhanced ligand half-life.&lt;/Abstract>
   	&lt;Abstract>(cont.) We also propose a new method for the rational design of more effective analogs by identifying amino acid substitutions that should reduce receptor binding affinity in intracellular endosomal compartments to yield enhanced sorting to recycling and consequently longer lifetimes in extracellular medium. We successfully demonstrate this approach, which we term &amp;apos;histidine switching,&amp;apos; for GCSF, employing computationally predicted histidine substitutions to switch protonation states between cell-surface and endosomal pH. Finally, we integrate a cell-level model of GCSF/GCSFR dynamics into an existing pharmacokinetic/pharmacodyamic model to elucidate the relationship between molecular and pharmacological properties of GCSF. The work presented here may provide general principles for cytokine design.&lt;/Abstract>
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