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dc.contributor.authorHashimshony, Tamar
dc.contributor.authorSenderovich, Naftalie
dc.contributor.authorAvital, Gal
dc.contributor.authorKlochendler, Agnes
dc.contributor.authorde Leeuw, Yaron
dc.contributor.authorAnavy, Leon
dc.contributor.authorLi, Shuqiang
dc.contributor.authorLivak, Kenneth J.
dc.contributor.authorDor, Yuval
dc.contributor.authorYanai, Itai
dc.contributor.authorRegev, Aviv
dc.contributor.authorRozenblatt-Rosen, Orit
dc.contributor.authorGennert, Dave
dc.date.accessioned2016-12-09T20:14:40Z
dc.date.available2016-12-09T20:14:40Z
dc.date.issued2016-04
dc.date.submitted2015-12
dc.identifier.issn1474-760X
dc.identifier.urihttp://hdl.handle.net/1721.1/105787
dc.description.abstractSingle-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with threefold higher sensitivity, lower costs, and less hands-on time. We implemented CEL-Seq2 on Fluidigm’s C1 system, providing its first single-cell, on-chip barcoding method, and we detected gene expression changes accompanying the progression through the cell cycle in mouse fibroblast cells. We also compare with Smart-Seq to demonstrate CEL-Seq2’s increased sensitivity relative to other available methods. Collectively, the improvements make CEL-Seq2 uniquely suited to single-cell RNA-Seq analysis in terms of economics, resolution, and ease of use.en_US
dc.description.sponsorshipSeventh Framework Programme (European Commission)en_US
dc.description.sponsorshipIsrael Science Foundationen_US
dc.language.isoen_US
dc.publisherBiomed Central Ltd.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s13059-016-0938-8en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBMCen_US
dc.titleCEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seqen_US
dc.typeArticleen_US
dc.identifier.citationHashimshony, Tamar et al. “CEL-Seq2: Sensitive Highly-Multiplexed Single-Cell RNA-Seq.” Genome Biology 17.1 (2016): n. pag.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorRegev, Aviv
dc.contributor.mitauthorRozenblatt-Rosen, Orit
dc.contributor.mitauthorGennert, Dave
dc.relation.journalGenome Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHashimshony, Tamar; Senderovich, Naftalie; Avital, Gal; Klochendler, Agnes; de Leeuw, Yaron; Anavy, Leon; Gennert, Dave; Li, Shuqiang; Livak, Kenneth J.; Rozenblatt-Rosen, Orit; Dor, Yuval; Regev, Aviv; Yanai, Itaien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8567-2049
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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