{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/113178"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/113178","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Single-cell transcriptomics of the mouse thalamic reticular nucleus","abstract":"The thalamic reticular nucleus (TRN) is strategically located at the interface between the cortex and the thalamus, and plays a key role in regulating thalamo-cortical interactions. Current understanding of TRN neurobiology has been limited due to the lack of a comprehensive survey of TRN heterogeneity. In this thesis, I developed an integrative computational framework to analyze the single-nucleus RNA sequencing data of mouse TRN in a data-driven manner. By combining transcriptomic, genetic, and functional proteomic data, I discovered novel insights into the molecular mechanisms through which TRN regulates sensory gating, and suggested targeted follow-up experiments to validate these findings.","abstract_html":"The thalamic reticular nucleus (TRN) is strategically located at the interface between the cortex and the thalamus, and plays a key role in regulating thalamo-cortical interactions. Current understanding of TRN neurobiology has been limited due to the lack of a comprehensive survey of TRN heterogeneity. In this thesis, I developed an integrative computational framework to analyze the single-nucleus RNA sequencing data of mouse TRN in a data-driven manner. 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They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/113178"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 44-49)."]},{"key":"dc:description.abstract","label":"Abstract","values":["The thalamic reticular nucleus (TRN) is strategically located at the interface between the cortex and the thalamus, and plays a key role in regulating thalamo-cortical interactions. Current understanding of TRN neurobiology has been limited due to the lack of a comprehensive survey of TRN heterogeneity. In this thesis, I developed an integrative computational framework to analyze the single-nucleus RNA sequencing data of mouse TRN in a data-driven manner. By combining transcriptomic, genetic, and functional proteomic data, I discovered novel insights into the molecular mechanisms through which TRN regulates sensory gating, and suggested targeted follow-up experiments to validate these findings."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["Single-cell transcriptomics of the mouse thalamic reticular nucleus"]}]}],"canonical_facts":{"dc:contributor.advisor":["Guoping Feng and Kasper Lage."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Li, Taibo,M. Eng.Massachusetts Institute of Technology."],"dc:date.accessioned":["2018-01-12T21:15:48Z"],"dc:date.available":["2018-01-12T21:15:48Z"],"dc:date.issued":["2017"],"dc:description":["Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 44-49)."],"dc:description.abstract":["The thalamic reticular nucleus (TRN) is strategically located at the interface between the cortex and the thalamus, and plays a key role in regulating thalamo-cortical interactions. Current understanding of TRN neurobiology has been limited due to the lack of a comprehensive survey of TRN heterogeneity. In this thesis, I developed an integrative computational framework to analyze the single-nucleus RNA sequencing data of mouse TRN in a data-driven manner. By combining transcriptomic, genetic, and functional proteomic data, I discovered novel insights into the molecular mechanisms through which TRN regulates sensory gating, and suggested targeted follow-up experiments to validate these findings."],"dc:description.degree":["M. Eng."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/113178"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Single-cell transcriptomics of the mouse thalamic reticular nucleus"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:22:02Z"}