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Comparative analysis of sequencing technologies for single-cell transcriptomics

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 SMA...

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Detalles Bibliográficos
Autores principales: Natarajan, Kedar Nath, Miao, Zhichao, Jiang, Miaomiao, Huang, Xiaoyun, Zhou, Hongpo, Xie, Jiarui, Wang, Chunqing, Qin, Shishang, Zhao, Zhikun, Wu, Liang, Yang, Naibo, Li, Bo, Hou, Yong, Liu, Shiping, Teichmann, Sarah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454680/
https://www.ncbi.nlm.nih.gov/pubmed/30961669
http://dx.doi.org/10.1186/s13059-019-1676-5
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1676-5) contains supplementary material, which is available to authorized users.