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Polymer models of chromosomes

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2016. / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 203-215). / Studies of chromosomes have a long history. Since late XIX century, microscopy studies have revealed that chromosomal organization as seen by light microscopy is different among organisms, cell types, or stages of the cell cycle. However, the internal organization of chromosomes at scales below the diffraction limit largely remained unexplored. Recently, genomic techniques to measure contacts between genomic regions were developed; the most advanced of them, Hi-C, measures probabilities of contact between all pairs of genomic regions. Throughout my Ph.D, we have been developing methods to analyze Hi-C data, and to infer principles of chromosomal organization from the contact map provided by Hi-C. As a first step, we developed a toolset to map, analyze, and correct the Hi-C data. We then we performed polymer simulations that implement hypothetical principles of chromosomal organization and compared them to the Hi-C data. We showed that mitotic chromosomes in humans are not organized hierarchically, as thought previously, and are likely folded as an array of consecutive chromosomal loops. In the bacterium Caulobacter Crescentus, we showed that the chromosome is organized as a dense array of supercoiled plectonemes interspersed by highly transcribed regions free of plectonemes. Finally, for human interphase chromosomes, we showed that the equilibrium state of a long unknoted polymer chain is inconsistent with the observed properties of chromosomes. / by Maksim Imakaev. / Ph. D.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/103234
Date January 2016
CreatorsImakaev, Maksim (Maksim Viktorovich)
ContributorsLeonid Mirny., Massachusetts Institute of Technology. Department of Physics., Massachusetts Institute of Technology. Department of Physics.
PublisherMassachusetts Institute of Technology
Source SetsM.I.T. Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Format215 pages, application/pdf
RightsM.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., http://dspace.mit.edu/handle/1721.1/7582

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