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

Genome Biol. 2016 Apr 28;17:77. doi: 10.1186/s13059-016-0938-8.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Animals
  • Cell Cycle
  • Cells, Cultured
  • Fibroblasts / cytology
  • Fibroblasts / metabolism
  • Gene Expression Profiling / methods*
  • Mice
  • Sensitivity and Specificity
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / methods*