| Accession | PRJCA007160 | ||||||||||||
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| 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 |
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| Organisms |
Mus musculus
Homo sapiens |
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| 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 | ||||||||||||
| Grants |
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| Submitter | Jiang Lan (jiangl@big.ac.cn) | ||||||||||||
| Organization | Beijing Institute of Genomics, Chinese Academy of Sciences | ||||||||||||
| Submission date | 2021-11-10 |