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Quantitative isoforrm profiling & isoform convergence

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dc.contributor.advisor Peter Szolovits and George M. Church. en_US
dc.contributor.author Varma, Chris (Chris K.) en_US
dc.contributor.other Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.date.accessioned 2008-02-28T16:14:59Z
dc.date.available 2008-02-28T16:14:59Z
dc.date.copyright 2005 en_US
dc.date.issued 2005 en_US
dc.identifier.uri http://dspace.mit.edu/handle/1721.1/33732 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/33732
dc.description Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2005. en_US
dc.description Includes bibliographical references (leaves 62-65). en_US
dc.description.abstract Alternative pre-messenger RNA splicing is a crucial step in eukaryotic gene expression, and therefore it is subject to tight regulation. Given its importance in conferring protein diversity, alternative splicing is sensitive to changes in cellular states including malignancy. We present a new paradigm by which to quantitatively study the alternative splicing of any molecule through the presented methods of quantitative exon profiling and quantitative isoform profiling which take advantage of a single-molecule based technology [Mit99]. Furthermore, we extend this paradigm to include a novel unified platform-called Isoform Convergence-to qualify particular isoforms as candidate diagnostic markers, potential therapeutic targets, and perhaps even as precursor therapeutics themselves. We apply this paradigm to quantitatively investigate the alternative splicing of CD44 in two leukemias. CD44 is an alternatively spliced cell surface receptor, which is generally implicated in cancer though the specifics are mired in controversy. In this work, we suggest several corrections to previously made claims about the presence of specific CD44 exons and of specific CD44 isoforms in leukemia as well as in non-diseased cells. en_US
dc.description.abstract (cont.) Furthermore, we provide not only the first comprehensive characterization of CD44's (or any molecule's) alternative exon splicing in human cells, but also its resulting quantities of exons and isoforms to an average resolution on the order of 1.E+06 molecules. Finally, we identify specific isoforms in each leukemia that may serve as candidate markers or possibly as therapeutic targets. en_US
dc.description.provenance Made available in DSpace on 2008-02-28T16:14:59Z (GMT). No. of bitstreams: 2 65170446.pdf: 15385271 bytes, checksum: c85f3540aca49b3787c7a7cd7fd71fdd (MD5) 65170446-MIT.pdf: 15385070 bytes, checksum: b7d538f0a91707b18315c4cf4f790eaf (MD5) Previous issue date: 2005 en
dc.description.statementofresponsibility by Chris Varma. en_US
dc.format.extent 65 leaves en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/33732 en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.title Quantitative isoforrm profiling & isoform convergence en_US
dc.title.alternative Quantitative isoforrm profiling and isoform convergence en_US
dc.type Thesis en_US
dc.description.degree Ph.D. en_US
dc.contributor.department Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.identifier.oclc 65170446 en_US

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