Show simple item record

dc.contributor.authorXing, Qiao Rui
dc.contributor.authorFarran, Chadi A El
dc.contributor.authorZeng, Ying Ying
dc.contributor.authorYi, Yao
dc.contributor.authorWarrier, Tushar
dc.contributor.authorGautam, Pradeep
dc.contributor.authorCollins, James J
dc.contributor.authorXu, Jian
dc.contributor.authorDröge, Peter
dc.contributor.authorKoh, Cheng-Gee
dc.contributor.authorLi, Hu
dc.contributor.authorZhang, Li-Feng
dc.contributor.authorLoh, Yuin-Han
dc.date.accessioned2021-10-27T20:31:07Z
dc.date.available2021-10-27T20:31:07Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136153
dc.description.abstract© 2020 Xing et al. Joint profiling of transcriptome and chromatin accessibility within single cells allows for the deconstruction of the complex relationship between transcriptional states and upstream regulatory programs determining different cell fates. Here, we developed an automated method with high sensitivity, assay for single-cell transcriptome and accessibility regions (ASTARseq), for simultaneous measurement of whole-cell transcriptome and chromatin accessibility within the same single cell. To show the utility of ASTAR-seq, we profiled 384 mESCs under naive and primed pluripotent states as well as a two-cell like state, 424 human cells of various lineage origins (BJ, K562, JK1, and Jurkat), and 480 primary cord blood cells undergoing erythroblast differentiation. With the joint profiles, we configured the transcriptional and chromatin accessibility landscapes of discrete cell states, uncovered linked sets of cis-regulatory elements and target genes unique to each state, and constructed interactome and transcription factor (TF)-centered upstream regulatory networks for various cell states.en_US
dc.language.isoen
dc.publisherCold Spring Harbor Laboratoryen_US
dc.relation.isversionof10.1101/GR.257840.119en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceCold Spring Harbor Laboratory Pressen_US
dc.titleParallel bimodal single-cell sequencing of transcriptome and chromatin accessibilityen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.relation.journalGenome Researchen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-08-25T18:04:08Z
dspace.orderedauthorsXing, QR; Farran, CAE; Zeng, YY; Yi, Y; Warrier, T; Gautam, P; Collins, JJ; Xu, J; Dröge, P; Koh, C-G; Li, H; Zhang, L-F; Loh, Y-Hen_US
dspace.date.submission2021-08-25T18:04:12Z
mit.journal.volume30en_US
mit.journal.issue7en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record