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dc.contributor.authorEisen, Timothy J
dc.contributor.authorEichhorn, Stephen W
dc.contributor.authorSubtelny, Alexander O
dc.contributor.authorLin, Kathy S
dc.contributor.authorMcGeary, Sean E
dc.contributor.authorGupta, Sumeet
dc.contributor.authorBartel, David P
dc.date.accessioned2021-10-27T20:36:26Z
dc.date.available2021-10-27T20:36:26Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136648
dc.description.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.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.MOLCEL.2019.12.005
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceElsevier
dc.titleThe Dynamics of Cytoplasmic mRNA Metabolism
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.contributor.departmentWhitehead Institute for Biomedical Research
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Program
dc.relation.journalMolecular Cell
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-07-14T14:15:09Z
dspace.orderedauthorsEisen, TJ; Eichhorn, SW; Subtelny, AO; Lin, KS; McGeary, SE; Gupta, S; Bartel, DP
dspace.date.submission2021-07-14T14:15:11Z
mit.journal.volume77
mit.journal.issue4
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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