TY - JOUR
T1 - SLAM-Drop-seq reveals mRNA kinetic rates throughout the cell cycle
AU - Liu, Haiyue
AU - Arsiè, Roberto
AU - Schwabe, Daniel
AU - Schilling, Marcel
AU - Minia, Igor
AU - Alles, Jonathan
AU - Boltengagen, Anastasiya
AU - Kocks, Christine
AU - Falcke, Martin
AU - Friedman, Nir
AU - Landthaler, Markus
AU - Rajewsky, Nikolaus
N1 - Publisher Copyright:
© 2023 The Authors. Published under the terms of the CC BY 4.0 license.
PY - 2023/10/12
Y1 - 2023/10/12
N2 - 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.
AB - 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.
KW - cell cycle
KW - mRNA kinetics
KW - single cells
KW - temporal regulation
KW - transcription and degradation
UR - http://www.scopus.com/inward/record.url?scp=85168865818&partnerID=8YFLogxK
U2 - 10.15252/msb.202211427
DO - 10.15252/msb.202211427
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C2 - 38778223
AN - SCOPUS:85168865818
SN - 1744-4292
VL - 19
JO - Molecular Systems Biology
JF - Molecular Systems Biology
IS - 10
M1 - e11427
ER -