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dc.contributor.advisorManolis Kellis.en_US
dc.contributor.authorNguyen, Khoi Thien.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Biological Engineering.en_US
dc.date.accessioned2021-03-22T17:07:09Z
dc.date.available2021-03-22T17:07:09Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/130186
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, May, 2020en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 111-130).en_US
dc.description.abstractMuch of the diversity we observe in cellular and organismal phenotypes can be attributed to epigenetic and genetic variation. DNA provides the instructions for life, while epigenetic modifications regulate which parts of the genetic information contained in DNA can be read out in a given cell and how this information is interpreted. In recent years, epigenetic and genetic variation has been profiled on a large scale with sequencing-based assays, generating many datasets to be explored. In this thesis, I present three projects which apply computational techniques to identify and characterize epigenetic mechanisms that may contribute to the regulation of phenotypic variance. First, we mine a dataset charactering the epigenomes of diverse cell types in order to discover signatures of adult stem cell differentiation.en_US
dc.description.abstractWe identify a novel marker of the multipotent state, a chromatin state characterized by the histone marks H3K36me3 and H3K9me3, and describe biological processes that may be linked to the loss of this chromatin state in fully differentiated cell types. Next, I present what we learned from profiling the epigenetic state of cells before and after transplantation into Xenopus oocytes, a process that transcriptionally reprograms the cells. This analysis elucidates how the initial epigenetic state of a cell influences the success of cellular reprogramming and identifies transcription factors that help regulate this process. Finally, we integrate studies measuring the effects of genetic variants on disease with studies measuring the effects of genetic variants on transcriptional and epigenetic activity. This identifies specific mechanisms underlying disease processes, and demonstrates that transcriptional and epigenetic mechanisms may independently contribute to disease pathogenesis.en_US
dc.description.abstractTogether, these projects demonstrate the biological insights that can be gained from epigenetic profiling, and expand our understanding of the potential effects of epigenetic modifications.en_US
dc.description.statementofresponsibilityby Khoi Thien Nguyen.en_US
dc.format.extent130 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectBiological Engineering.en_US
dc.titleEpigenetic determinants of cellular differentiation, transcriptional reprogramming, and human diseaseen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.identifier.oclc1241089013en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Biological Engineeringen_US
dspace.imported2021-03-22T17:06:38Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentBioEngen_US


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