Comparative analysis of sequencing technologies for single-cell transcriptomics

Kedar Nath Natarajan(University of Southern Denmark), Zhichao Miao(European Bioinformatics Institute), Miaomiao Jiang(BGI Group (China)), Xiaoyun Huang(BGI Group (China)), Hongpo Zhou(BGI Group (China)), Jiarui Xie(BGI Group (China)), Chunqing Wang(BGI Group (China)), Shishang Qin(BGI Group (China)), Zhikun Zhao(BGI Group (China)), Liang Wu(BGI Group (China)), Naibo Yang(BGI Group (China)), Bo Li(BGI Group (China)), Yong Hou(BGI Group (China)), Shiping Liu(BGI Group (China)), Sarah A. Teichmann(European Bioinformatics Institute)
Genome biology
April 8, 2019
Cited by 133Open Access
Full Text

Abstract

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.


Related Papers

No related papers found

Powered by citation graph analysis