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

Genome biology · 2016 · Vol. 17(1) · pp. 77–77
Tamar HashimshonyNaftalie SenderovichGal AvitalAgnes KlochendlerYaron de LeeuwLeon AnavyDave GennertShuqiang LiKenneth J. LivakOrit Rozenblatt–RosenYuval DorAviv RegevItai Yanai

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.

Single-cell and spatial transcriptomicsCAR-T cell therapy researchT-cell and B-cell ImmunologyBiologyRNA-SeqComputational biologyHuman geneticsGenome BiologyRNAEvolutionary biologyGeneticsSingle-cell analysisCell

MeSH terms

AlgorithmsAnimalsCell CycleCells, CulturedFibroblastsSensitivity and SpecificitySequence Analysis, RNAGene Expression ProfilingMiceSingle-Cell Analysis

Funding

  • Seventh Framework Programme
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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq · Scinovex