Cargando…

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

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 singl...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yun, Huang, Zheng, Zhang, Zhaojun, Wang, Qifei, Li, Fengxian, Wang, Shufang, Ji, Xin, Shu, Shaokun, Fang, Xiangdong, Jiang, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078054/
https://www.ncbi.nlm.nih.gov/pubmed/37024957
http://dx.doi.org/10.1186/s13059-023-02893-1
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02893-1.