Single-cell quantification of a broad RNA spectrum reveals unique noncoding patterns associated with cell types and states.

ABSTRACT: The ability to interrogate total RNA content of single cells would enable better mapping of the transcriptional logic behind emerging cell types and states. However, current single-cell RNA-sequencing (RNA-seq) methods are unable to simultaneously monitor all forms of RNA transcripts at the single-cell level, and thus deliver only a partial snapshot of the cellular RNAome. Here we describe Smart-seq-total, a method capable of assaying a broad spectrum of coding and noncoding RNA from a single cell. Smart-seq-total does not require splitting the RNA content of a cell and allows the incorporation of unique molecular identifiers into short and long RNA molecules for absolute quantification. It outperforms current poly(A)-independent total RNA-seq protocols by capturing transcripts of a broad

SUBMITTER: Isakova A 

PROVIDER: S-EPMC8713755 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature