Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies

Publication date

2020-03-06

Authors

Battich, Nico
Beumer, Joep
de Barbanson, Buys
Krenning, Lenno
Baron, Chloé S
Tanenbaum, Marvin E
Clevers, HansISNI 0000000043961208
van Oudenaarden, AlexanderORCID 0000-0002-9442-3551ISNI 0000000042369843

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Advisors

Supervisors

Document Type

Article

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License

taverne

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 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.

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, Taverne, Journal Article, Research Support, Non-U.S. Gov't

Citation

Battich, N, Beumer, J, de Barbanson, B, Krenning, L, Baron, C S, Tanenbaum, M E, Clevers, H & van Oudenaarden, A 2020, 'Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies', Science, vol. 367, no. 6482, pp. 1151-1156. https://doi.org/10.1126/science.aax3072