FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5'-end single-cell RNA sequencing

FIPRESCI:基于液滴微流控技术的大规模5'端单细胞RNA测序组合索引

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作者:Yun Li # ,Zheng Huang # ,Zhaojun Zhang # ,Qifei Wang ,Fengxian Li ,Shufang Wang ,Xin Ji ,Shaokun Shu ,Xiangdong Fang ,Lan Jiang

Abstract

Single-cell RNA sequencing methods focusing on the 5'-end of transcripts can reveal promoter and enhancer activity and efficiently profile immune receptor repertoire. However, ultra-high-throughput 5'-end single-cell RNA sequencing methods have not been described. We introduce FIPRESCI, 5'-end single-cell combinatorial indexing RNA-Seq, enabling massive sample multiplexing and increasing the throughput of the droplet microfluidics system by over tenfold. We demonstrate FIPRESCI enables the generation of approximately 100,000 single-cell transcriptomes from E10.5 whole mouse embryos in a single-channel experiment, and simultaneous identification of subpopulation differences and T cell receptor signatures of peripheral blood T cells from 12 cancer patients. Keywords: 10X Genomics; Combinatorial indexing; Sample multiplexing; Single-cell RNA-seq; Single-nucleus RNA-seq; scTCR-seq; scVDJ-seq.

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