Publication Date

7-15-2024

Journal

Nature Communications

DOI

10.1038/s41467-024-50291-3

PMID

39009595

PMCID

PMC11251146

PubMedCentral® Posted Date

7-15-2024

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes

Keywords

Single-Cell Analysis, Transcription Factors, Humans, Cell Cycle, RNA, RNA Splicing, Sequence Analysis, RNA, Gene Expression Profiling, Gene Expression Regulation, Cellular Senescence, RNA-Seq, Kinetics

Abstract

Recent development of RNA velocity uses master equations to establish the kinetics of the life cycle of RNAs from unspliced RNA to spliced RNA (i.e., mature RNA) to degradation. To feed this kinetic analysis, simultaneous measurement of unspliced RNA and spliced RNA in single cells is greatly desired. However, the majority of single-cell RNA-seq chemistry primarily captures mature RNA species to measure gene expressions. Here, we develop a one-step total-RNA chemistry-based single-cell RNA-seq method: snapTotal-seq. We benchmark this method with multiple single-cell RNA-seq assays in their performance in kinetic analysis of cell cycle by RNA velocity. Next, with LASSO regression between transcription factors, we identify the critical regulatory hubs mediating the cell cycle dynamics. We also apply snapTotal-seq to profile the oncogene-induced senescence and identify the key regulatory hubs governing the entry of senescence. Furthermore, from the comparative analysis of unspliced RNA and spliced RNA, we identify a significant portion of genes whose expression changes occur in spliced RNA but not to the same degree in unspliced RNA, indicating these gene expression changes are mainly controlled by post-transcriptional regulation. Overall, we demonstrate that snapTotal-seq can provide enriched information about gene regulation, especially during the transition between cell states.

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