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dc.contributor.authorMa, Sai
dc.contributor.authorZhang, Bing
dc.contributor.authorLaFave, Lindsay M
dc.contributor.authorEarl, Andrew S
dc.contributor.authorChiang, Zachary
dc.contributor.authorHu, Yan
dc.contributor.authorDing, Jiarui
dc.contributor.authorBrack, Alison
dc.contributor.authorKartha, Vinay K
dc.contributor.authorTay, Tristan
dc.contributor.authorLaw, Travis
dc.contributor.authorLareau, Caleb
dc.contributor.authorHsu, Ya-Chieh
dc.contributor.authorRegev, Aviv
dc.contributor.authorBuenrostro, Jason D
dc.date.accessioned2021-11-22T19:16:17Z
dc.date.available2021-11-22T19:16:17Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/138197
dc.description.abstract© 2020 Elsevier Inc. 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.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.CELL.2020.09.056en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleChromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatinen_US
dc.typeArticleen_US
dc.identifier.citationMa, Sai, Zhang, Bing, LaFave, Lindsay M, Earl, Andrew S, Chiang, Zachary et al. 2020. "Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin." Cell, 183 (4).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.relation.journalCellen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-11-22T19:11:07Z
dspace.orderedauthorsMa, S; Zhang, B; LaFave, LM; Earl, AS; Chiang, Z; Hu, Y; Ding, J; Brack, A; Kartha, VK; Tay, T; Law, T; Lareau, C; Hsu, Y-C; Regev, A; Buenrostro, JDen_US
dspace.date.submission2021-11-22T19:11:10Z
mit.journal.volume183en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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