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dc.contributor.advisorManolis Kellis and Myriam Heiman.en_US
dc.contributor.authorPineda, Sergio Sebastian.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-01-06T18:32:47Z
dc.date.available2021-01-06T18:32:47Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129176
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 45-48).en_US
dc.description.abstractUncovering the mechanisms that drive cell type-specific vulnerability differences in Huntington's disease (HD) is an imperative prerequisite to finding a reliable therapeutic target. The most affected regions and cell types likely possess vulnerability factors or lack protective factors possessed by other cell types that lead to their early dysfunction and enhanced loss, but such factors remain elusive. In order to characterize the cell type-specific responses induced by mutant huntingtin (mHTT), we applied single-nucleus RNA sequencing to pro- file gene expression changes in human HD and two commonly used mouse models of HD. In the process, we produced the first molecular atlas of the human neostriatum, identified new and previously unobserved cell types, and examined the molecular conservation of this brain region across species. We also developed and documented new computational methods and techniques for curating and analyzing single-cell data from post-mortem human brain samples.en_US
dc.description.statementofresponsibilityby Sergio Sebastian Pineda.en_US
dc.format.extent48 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.subjectElectrical Engineering and Computer Science.en_US
dc.titleSingle-cell transcriptional profiling of Huntington's disease in human and mouse modelsen_US
dc.title.alternativeSingle-cell transcriptional profiling of HD in human and mouse modelsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1227278096en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-01-06T18:32:46Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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