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Comparative analysis of sequencing technologies for single-cell transcriptomics

  • Kedar Nath Natarajan*
  • , Zhichao Miao
  • , Miaomiao Jiang
  • , Xiaoyun Huang
  • , Hongpo Zhou
  • , Jiarui Xie
  • , Chunqing Wang
  • , Shishang Qin
  • , Zhikun Zhao
  • , Liang Wu
  • , Naibo Yang
  • , Bo Li
  • , Yong Hou
  • , Shiping Liu
  • , Sarah A. Teichmann
  • *Kontaktforfatter
  • Wellcome Trust Genome Campus
  • BGI Group
  • Southeast University
  • China National GeneBank
  • South China University of Technology
  • University of Cambridge

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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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.

OriginalsprogEngelsk
Artikelnummer70
TidsskriftGenome Biology
Vol/bind20
Antal sider8
ISSN1474-760X
DOI
StatusUdgivet - 2019

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