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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq

Author(s)
Hashimshony, Tamar; Senderovich, Naftalie; Avital, Gal; Klochendler, Agnes; de Leeuw, Yaron; Anavy, Leon; Li, Shuqiang; Livak, Kenneth J.; Dor, Yuval; Yanai, Itai; Regev, Aviv; Rozenblatt-Rosen, Orit; Gennert, Dave; ... Show more Show less
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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.
Date issued
2016-04
URI
http://hdl.handle.net/1721.1/105787
Department
Massachusetts Institute of Technology. Department of Biology
Journal
Genome Biology
Publisher
Biomed Central Ltd.
Citation
Hashimshony, Tamar et al. “CEL-Seq2: Sensitive Highly-Multiplexed Single-Cell RNA-Seq.” Genome Biology 17.1 (2016): n. pag.
Version: Final published version
ISSN
1474-760X

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