Epigenomic profiling of human tissues at single-cell resolution

dc.contributor.advisorHenikoff, Steven
dc.contributor.authorWu, Steven
dc.date.accessioned2022-04-19T23:41:49Z
dc.date.available2022-04-19T23:41:49Z
dc.date.issued2022-04-19
dc.date.submitted2022
dc.descriptionThesis (Ph.D.)--University of Washington, 2022
dc.description.abstractTraditional methods for profiling DNA-protein binding interactions have been limited by low signalto-noise, false positives, and high costs. To overcome these barriers we developed a simple assay, Cleavage Under Targets & Tagmentation (CUT&Tag), that leverages a transposon based fusion enzyme to map in situ DNA-protein interactions in small samples of cells at high resolution. We then automated CUT&Tag to generate hundreds of chromatin profiles for a multitude of histone modifications across different diseases. Furthermore, we are able to model their cell-type specific gene expression by integrating the data across multiple histone modifications. CUT&Tag is characterized by an exceptionally high signal-to-noise ratio and we reasoned that the method could be used to resolve single-cell chromatin profiles. As a proof-of-concept we demonstrated that single-cell CUT&Tag resolves both active and repressive chromatin marks in cell lines. We then leveraged single-cell CUT&Tag to profile thousands of single cells to uncover the heterogeneity in stem cell development, primary liquid, and solid tumors pre- and post-treatment. Our work is part of a large-scale effort to build a comprehensive map of all cell types to better understand human health and improve disease diagnosis and treatment.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherWu_washington_0250E_23834.pdf
dc.identifier.urihttp://hdl.handle.net/1773/48426
dc.language.isoen_US
dc.rightsCC BY
dc.subject
dc.subjectBioinformatics
dc.subject.otherMolecular engineering
dc.titleEpigenomic profiling of human tissues at single-cell resolution
dc.typeThesis

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