The Dynamics of Cytoplasmic mRNA Metabolism

© 2019 Elsevier Inc. For all but a few mRNAs, the dynamics of metabolism are unknown. Here, we developed an experimental and analytical framework for examining these dynamics for mRNAs from thousands of genes. mRNAs of mouse fibroblasts exit the nucleus with diverse intragenic and intergenic poly(A)...

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Bibliographic Details
Main Authors: Eisen, Timothy J, Eichhorn, Stephen W, Subtelny, Alexander O, Lin, Kathy S, McGeary, Sean E, Gupta, Sumeet, Bartel, David P
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/136648
Description
Summary:© 2019 Elsevier Inc. For all but a few mRNAs, the dynamics of metabolism are unknown. Here, we developed an experimental and analytical framework for examining these dynamics for mRNAs from thousands of genes. mRNAs of mouse fibroblasts exit the nucleus with diverse intragenic and intergenic poly(A)-tail lengths. Once in the cytoplasm, they have a broad (1000-fold) range of deadenylation rate constants, which correspond to cytoplasmic lifetimes. Indeed, with few exceptions, degradation appears to occur primarily through deadenylation-linked mechanisms, with little contribution from either endonucleolytic cleavage or deadenylation-independent decapping. Most mRNA molecules degrade only after their tail lengths fall below 25 nt. Decay rate constants of short-tailed mRNAs vary broadly (1000-fold) and are larger for short-tailed mRNAs that have previously undergone more rapid deadenylation. This coupling helps clear rapidly deadenylated mRNAs, enabling the large range in deadenylation rate constants to impart a similarly large range in stabilities. mRNA decay helps determine the extent of mRNA accumulation and ultimately the amount of protein produced. The dynamics of mRNA decay—involving tail-length shortening and then decay of the mRNA body—are largely unknown. Eisen et al. use high-throughput methods to uncover these dynamics for thousands of endogenous mRNAs.