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Article

Live-seq enables temporal transcriptomic recording of single cells.

Nature - 1 Aug 2022

Chen Wanze, Guillaume-Gentil Orane, Rainer Pernille Yde, Gäbelein Christoph G, Saelens Wouter, Gardeux Vincent, Klaeger Amanda, Dainese Riccardo, Zachara Magda, Zambelli Tomaso, Vorholt Julia A, Deplancke Bart

Abstract excerpt

Single-cell transcriptomics (scRNA-seq) has greatly advanced our ability to characterize cellular heterogeneity1. However, scRNA-seq requires lysing cells, which impedes further molecular or functional analyses on the same cells. Here, we established Live-seq, a single-cell transcriptome profiling approach that preserves cell viability during RNA extraction using fluidic force microscopy2,3, thus allowing to...

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Identifiers

PMID: 35978187
DOI: 10.1038/s41586-022-05046-9
PMCID: PMC9402441

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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