CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Hashimshony, Tamar; Senderovich, Naftalie; Avital, Gal; Klochendler, Agnes; de Leeuw, Yaron; Anavy, Leon; Gennert, Dave; Li, Shuqiang; Livak, Kenneth; Rozenblatt-Rosen, Orit; Dor, Yuval; Regev, Aviv; Yanai, Itai
• Is Part Of: Genome biology. Volume 17:Issue 1(2016)
• Page Start: 1
• Page End: 7
• Publication Date: 2016-12
• Subjects: Genomes -- Periodicals; Biology -- Periodicals; Molecular biology -- Periodicals; 572.8633
• DOI: 10.1186/s13059-016-0938-8
• Languages: English
• ISSNs: 1474-760X

Abstract

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.