Accession PRJCA007160
Title Droplet-based multiplexing for massive-scale Five-prime end single-cell combinatorial indexing RNA-Seq
Relevance Biology
Data types Transcriptome or Gene expression
Single cell sequencing
Organisms Mus musculus
Homo sapiens
Description Single-cell RNA five-end-sequencing methods can simultaneously quantify gene expression and detect transcribed cis-regulatory elements (tCREs, mostly promoters and enhancers) in a single assay with no extra cost, which are critical for studies of gene regulation. To enable sample multiplexing and cost-effective single-cell RNA five-end-sequencing for millions of individual cells, here we develop an efficient, simple and flexible 'Five-prime end single-cell combinatorial indexing RNA-Seq (Fipresci-Seq)' approach. In this study, we benchmarked Fipresci-Seq on an interspecies mixture of human and mouse cells, validated it for various human lines and applied it to T cells from PBMC of 14 donors across 5 cancer types and healthy people and enriched the TCR sequences for single-cell library generation.
Sample scope Single cell
Release date 2023-02-21
Agency program Grant ID Grant title
Ministry of Science and Technology of the People's Republic of China (MOST) 2019YFA0801700
Chinese Academy of Sciences (CAS) Strategic Priority Research Program of Chinese Academy of Sciences (CAS) XDB38020500
Submitter Jiang    Lan  (
Organization Beijing Institute of Genomics, Chinese Academy of Sciences
Submission date 2021-11-10

Project Data

Resource name Description
BioSample (8)  show -
GSA (1) -
CRA006412 Droplet microfluidics-based combinatorial indexing for massive-scale five-prime-end single-cell RNA sequencing-benchmarked