Epigenomic profiling of human tissues at single-cell resolution
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Wu, Steven
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Abstract
Traditional 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.
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Thesis (Ph.D.)--University of Washington, 2022
