The Dynamics of Cytoplasmic mRNA Metabolism
Name
nihms-1552638.pdf
Description
Accepted version
Size
1.27 MB
Format
Adobe PDF
Checksum (MD5)
ad9a71e2552851a38672bcbf8013aa91
Author(s)
Eisen, Timothy J
Eichhorn, Stephen W
Subtelny, Alexander O
Lin, Kathy S
McGeary, Sean E
Gupta, Sumeet
Bartel, David P
Date Issued
2020
Journal
Molecular Cell
Publisher
Elsevier BV
Version
Author's final manuscript
Abstract
© 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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology. Computational and Systems Biology Program
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.MOLCEL.2019.12.005
