dc.contributor.author | Hashimshony, Tamar | |
dc.contributor.author | Senderovich, Naftalie | |
dc.contributor.author | Avital, Gal | |
dc.contributor.author | Klochendler, Agnes | |
dc.contributor.author | de Leeuw, Yaron | |
dc.contributor.author | Anavy, Leon | |
dc.contributor.author | Li, Shuqiang | |
dc.contributor.author | Livak, Kenneth J. | |
dc.contributor.author | Dor, Yuval | |
dc.contributor.author | Yanai, Itai | |
dc.contributor.author | Regev, Aviv | |
dc.contributor.author | Rozenblatt-Rosen, Orit | |
dc.contributor.author | Gennert, Dave | |
dc.date.accessioned | 2016-12-09T20:14:40Z | |
dc.date.available | 2016-12-09T20:14:40Z | |
dc.date.issued | 2016-04 | |
dc.date.submitted | 2015-12 | |
dc.identifier.issn | 1474-760X | |
dc.identifier.uri | http://hdl.handle.net/1721.1/105787 | |
dc.description.abstract | Single-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.sponsorship | Seventh Framework Programme (European Commission) | en_US |
dc.description.sponsorship | Israel Science Foundation | en_US |
dc.language.iso | en_US | |
dc.publisher | Biomed Central Ltd. | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1186/s13059-016-0938-8 | en_US |
dc.rights | Creative Commons Attribution 4.0 International License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | BMC | en_US |
dc.title | CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Hashimshony, Tamar et al. “CEL-Seq2: Sensitive Highly-Multiplexed Single-Cell RNA-Seq.” Genome Biology 17.1 (2016): n. pag. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | en_US |
dc.contributor.mitauthor | Regev, Aviv | |
dc.contributor.mitauthor | Rozenblatt-Rosen, Orit | |
dc.contributor.mitauthor | Gennert, Dave | |
dc.relation.journal | Genome Biology | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Hashimshony, 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, Itai | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-8567-2049 | |
mit.license | PUBLISHER_CC | en_US |
mit.metadata.status | Complete | |