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Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin.
Ma, Sai; Zhang, Bing; LaFave, Lindsay M; Earl, Andrew S; Chiang, Zachary; Hu, Yan; Ding, Jiarui; Brack, Alison; Kartha, Vinay K; Tay, Tristan; Law, Travis; Lareau, Caleb; Hsu, Ya-Chieh; Regev, Aviv; Buenrostro, Jason D.
Afiliação
  • Ma S; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Zhang B; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • LaFave LM; Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Earl AS; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Chiang Z; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Hu Y; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Ding J; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Brack A; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Kartha VK; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Tay T; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Law T; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Lareau C; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Hsu YC; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Regev A; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Electronic address: aregev@broadinstitute.or
  • Buenrostro JD; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: jason_buenrostro@harvard.edu.
Cell ; 183(4): 1103-1116.e20, 2020 11 12.
Article em En | MEDLINE | ID: mdl-33098772
ABSTRACT
Cell differentiation and function are regulated across multiple layers of gene regulation, including modulation of gene expression by changes in chromatin accessibility. However, differentiation is an asynchronous process precluding a temporal understanding of regulatory events leading to cell fate commitment. Here we developed simultaneous high-throughput ATAC and RNA expression with sequencing (SHARE-seq), a highly scalable approach for measurement of chromatin accessibility and gene expression in the same single cell, applicable to different tissues. Using 34,774 joint profiles from mouse skin, we develop a computational strategy to identify cis-regulatory interactions and define domains of regulatory chromatin (DORCs) that significantly overlap with super-enhancers. During lineage commitment, chromatin accessibility at DORCs precedes gene expression, suggesting that changes in chromatin accessibility may prime cells for lineage commitment. We computationally infer chromatin potential as a quantitative measure of chromatin lineage-priming and use it to predict cell fate outcomes. SHARE-seq is an extensible platform to study regulatory circuitry across diverse cells in tissues.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article