Live-seq enables temporal transcriptomic recording of single cells.

ABSTRACT: 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 microscopy^2,3, thus allowing to couple a cell's ground-state transcriptome to its downstream molecular or phenotypic behaviour. To benchmark Live-seq, we used cell growth, functional responses and whole-cell transcriptome read-outs to demonstrate that Live-seq can accurately stratify diverse cell types and states without inducing major cellular perturbations. As a proof of concept, we show that

SUBMITTER: Chen W 

PROVIDER: S-EPMC9402441 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature