CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
Technion – Israel Institute of Technology · Howard Hughes Medical Institute · +4 more institutions
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…
Citation impact
- FWCI
- 57.10
- Percentile
- 100%
- References
- 20
Authors
13Topics & keywords
- Biology
- RNA-Seq
- Computational biology
- Human genetics
- Genome Biology
- RNA
- Evolutionary biology
- Genetics