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Comparative analysis of sequencing technologies for single-cell transcriptomics.

Kedar Nath NatrajanZhichao MiaoMiaomiao JiangXiaoyun HuangHongpo ZhouJiarui XieChunqing WangShishang QinZhikun ZhaoLiang WuNaibo YangBo LiYong HouShiping LiuSarah A Teichmann
Published in: Genome biology (2019)
Single-cell RNA-seq technologies require library preparation prior to sequencing. Here, we present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq platform for scRNA-seq. We generate a resource of 468 single cells and 1297 matched single cDNA samples, performing SMARTer and Smart-seq2 protocols on two cell lines with RNA spike-ins. We sequence these libraries on both platforms using single- and paired-end reads. The platforms have comparable sensitivity and accuracy in terms of quantification of gene expression, and low technical variability. Our study provides a standardized scRNA-seq resource to benchmark new scRNA-seq library preparation protocols and sequencing platforms.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • gene expression
  • induced apoptosis
  • dna methylation
  • cell death
  • endoplasmic reticulum stress
  • cell proliferation