Droplet microfluidics-based combinatorial indexing for massive-scale five-prime-end single-cell RNA sequencing-benchmarked
Release date:
2023-02-21
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.
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Organization: Beijing Institute of Genomics, Chinese Academy of Sciences
Submission date: 2021-11-11
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HRA001531.xlsx