Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies.
Journal
Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511
Informations de publication
Date de publication:
06 03 2020
06 03 2020
Historique:
received:
15
03
2019
accepted:
06
02
2020
entrez:
7
3
2020
pubmed:
7
3
2020
medline:
20
3
2020
Statut:
ppublish
Résumé
The regulation of messenger RNA levels in mammalian cells can be achieved by the modulation of synthesis and degradation rates. Metabolic RNA-labeling experiments in bulk have quantified these rates using relatively homogeneous cell populations. However, to determine these rates during complex dynamical processes, for instance during cellular differentiation, single-cell resolution is required. Therefore, we developed a method that simultaneously quantifies metabolically labeled and preexisting unlabeled transcripts in thousands of individual cells. We determined synthesis and degradation rates during the cell cycle and during differentiation of intestinal stem cells, revealing major regulatory strategies. These strategies have distinct consequences for controlling the dynamic range and precision of gene expression. These findings advance our understanding of how individual cells in heterogeneous populations shape their gene expression dynamics.
Identifiants
pubmed: 32139547
pii: 367/6482/1151
doi: 10.1126/science.aax3072
doi:
Substances chimiques
Indicators and Reagents
0
RNA, Messenger
0
Uridine
WHI7HQ7H85
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1151-1156Subventions
Organisme : European Research Council
Pays : International
Organisme : Swiss National Science Foundation
Pays : Switzerland
Informations de copyright
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.