| 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 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 37024957
|
FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
|
Genome Biology
|
10.1186/s13059-023-02893-1
|
2023
|
|
|
| Grants |
| 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 (jiangl@big.ac.cn)
|
| Organization |
Beijing Institute of Genomics, Chinese Academy of Sciences |
| Submission date |
2021-11-10 |
