Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies
Battich, Nico; Beumer, Joep; de Barbanson, Buys; Krenning, Lenno; Baron, Chloé S; Tanenbaum, Marvin E; Clevers, Hans; van Oudenaarden, Alexander
(2020) Science, volume 367, issue 6482, pp. 1151 - 1156
(Article)
Abstract
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
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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.
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Keywords: Animals, Humans, Indicators and Reagents/chemistry, K562 Cells, Mice, RNA Stability, RNA, Messenger/metabolism, Sequence Analysis, RNA/methods, Single-Cell Analysis/methods, Transcription, Genetic, Uridine/analogs & derivatives, Journal Article, Research Support, Non-U.S. Gov't
ISSN: 0036-8075
Publisher: American Association for the Advancement of Science
Note: Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
(Peer reviewed)