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单细胞中代谢标记转录本的测序揭示了 mRNA 周转策略。

Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies.

机构信息

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

出版信息

Science. 2020 Mar 6;367(6482):1151-1156. doi: 10.1126/science.aax3072.

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.

摘要

哺乳动物细胞中信使 RNA 水平的调节可以通过调节合成和降解速率来实现。批量代谢 RNA 标记实验使用相对均匀的细胞群体来量化这些速率。然而,要在复杂的动态过程中确定这些速率,例如在细胞分化过程中,需要单细胞分辨率。因此,我们开发了一种方法,可以同时在数千个单个细胞中定量代谢标记和预先存在的未标记转录本。我们在细胞周期和肠干细胞分化过程中确定了合成和降解速率,揭示了主要的调控策略。这些策略对控制基因表达的动态范围和精度有不同的影响。这些发现增进了我们对异质群体中单个细胞如何塑造其基因表达动力学的理解。

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