Abstract
RNA abundance is tightly regulated in eukaryotic cells by modulating the kinetic rates of RNA production, processing, and degradation. To date, little is known about time-dependent kinetic rates during dynamic processes. Here, we present SLAM-Drop-seq, a method that combines RNA metabolic labeling and alkylation of modified nucleotides in methanol-fixed cells with droplet-based sequencing to detect newly synthesized and preexisting mRNAs in single cells. As a first application, we sequenced 7280 HEK293 cells and calculated gene-specific kinetic rates during the cell cycle using the novel package Eskrate. Of the 377 robust-cycling genes that we identified, only a minor fraction is regulated solely by either dynamic transcription or degradation (6 and 4%, respectively). By contrast, the vast majority (89%) exhibit dynamically regulated transcription and degradation rates during the cell cycle. Our study thus shows that temporally regulated mRNA degradation is fundamental for the correct expression of a majority of cycling genes. SLAM-Drop-seq, combined with Eskrate, is a powerful approach to understanding the underlying mRNA kinetics of single-cell gene expression dynamics in continuous biological processes.
Original language | English |
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Article number | e11427 |
Journal | Molecular Systems Biology |
Volume | 19 |
Issue number | 10 |
DOIs | |
State | Published - 12 Oct 2023 |
Keywords
- cell cycle
- mRNA kinetics
- single cells
- temporal regulation
- transcription and degradation
All Science Journal Classification (ASJC) codes
- Information Systems
- General Immunology and Microbiology
- Applied Mathematics
- General Biochemistry,Genetics and Molecular Biology
- General Agricultural and Biological Sciences
- Computational Theory and Mathematics