bioRxivGenomicsPreprint
Comparative analysis of sequencing technologies platforms for single-cell transcriptomics
Kedar Nath NatarajaniD, Zhichao MiaoiD, Miaomiao JiangiD, Xiaoyun HuangiD, Hongpo Zhou, Jiarui XieiD, Chunqing WangiD, Shishang QiniD, Zhikun ZhaoiD, Liang Li WuiD, Bo LiiD, Yong HouiD, Shiping LiuiD, Sarah Amalia TeichmanniD
Abstract
All single-cell RNA-seq protocols and technologies require library preparation prior to sequencing on a platform such as Illumina. Here, we present the first report to utilize the BGISEQ-500 platform for scRNA-seq, and compare the sensitivity and accuracy to Illumina sequencing. We generate a scRNA-seq resource of 468 unique single-cells and 1,297 matched single cDNA samples, performing SMARTer and Smart-seq2 protocols on mESCs and K562 cells with RNA spike-ins. We sequence these libraries on both BGISEQ-500 and Illumina HiSeq platforms using single- and paired-end reads. The two platforms have comparable sensitivity and accuracy in terms of quantification of gene expression, and low technical variability. Our study provides a standardised scRNA-seq resource to benchmark new scRNA-seq library preparation protocols and sequencing platforms.
- organism: mouse
- organism: human
- assay: scRNA-seq
- research focus: benchmarking
- approach: experimental assay
- Citations
- 3
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