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
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

1151-1156

Subventions

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.

Auteurs

Nico Battich (N)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands. n.battich@hubrecht.eu a.vanoudenaarden@hubrecht.eu.

Joep Beumer (J)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands.

Buys de Barbanson (B)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands.

Lenno Krenning (L)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands.

Chloé S Baron (CS)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands.

Marvin E Tanenbaum (ME)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands.

Hans Clevers (H)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands.

Alexander van Oudenaarden (A)

Oncode Institute, Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, 3584 CT Utrecht, Netherlands. n.battich@hubrecht.eu a.vanoudenaarden@hubrecht.eu.

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Classifications MeSH