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Scalable single-cell RNA sequencing from full transcripts with Smart-seq3xpress.

Authors :
Hagemann-Jensen, Michael
Ziegenhain, Christoph
Sandberg, Rickard
Source :
Nature Biotechnology; Oct2022, Vol. 40 Issue 10, p1452-1457, 6p
Publication Year :
2022

Abstract

Current single-cell RNA sequencing (scRNA-seq) methods with high cellular throughputs sacrifice full-transcript coverage and often sensitivity. Here we describe Smart-seq3xpress, which miniaturizes and streamlines the Smart-seq3 protocol to substantially reduce reagent use and increase cellular throughput. Smart-seq3xpress analysis of peripheral blood mononuclear cells resulted in a granular atlas complete with common and rare cell types. Compared with droplet-based single-cell RNA sequencing that sequences RNA ends, the additional full-transcript coverage revealed cell-type-associated isoform variation. Smart-seq3xpress enables single-cell RNA sequencing from full transcripts at high throughput. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10870156
Volume :
40
Issue :
10
Database :
Complementary Index
Journal :
Nature Biotechnology
Publication Type :
Academic Journal
Accession number :
159548345
Full Text :
https://doi.org/10.1038/s41587-022-01311-4