Evidence map›Paper›PMID 35452615›Full record

ReviewMolecular cell2022

Codon optimality-mediated mRNA degradation: Linking translational elongation to mRNA stability.

Haneui Bae, Jeff Coller

Abstract readReview
In one paragraph

Review in Molecular cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed.

  1. Article
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  7. Transgene sequence codon optimization and composition determines replication competence of self-amplifying RNA.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
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  12. Article
  13. Review
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  18. Review
  19. Article
  20. Review

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Haneui BaeTevard Biosciences, LabCentral 238, Cambridge, MA 02142, USA.
Jeff CollerDepartment of Molecular Biology and Genetics and Department of Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Electronic address: jmcoller@jhmi.edu.

Funding

Understanding the relationship between codon optimality and mRNA stabilityR35GM144114 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Jeffery Coller · 2022 to 2026
$3.0M
NIGMS NIH HHS R35 GM144114
6 · The paper itself

Abstract

Messenger RNA (mRNA) translation by the ribosome represents the final step of a complicated molecular dance from DNA to protein. Although classically considered a decipherer that translates a 64-word genetic code into a proteome of astonishing complexity, the ribosome can also shape the transcriptome by controlling mRNA stability. Recent work has discovered that the ribosome is an arbiter of the general mRNA degradation pathway, wherein the ribosome transit rate serves as a major determinant of transcript half-lives. Specifically, members of the degradation complex sense ribosome translocation rates as a function of ribosome elongation rates. Central to this notion is the concept of codon optimality: although all codons impact translation rates, some are deciphered quickly, whereas others cause ribosome hesitation as a consequence of relative cognate tRNA concentration. These transient pauses induce a unique ribosome conformational state that is probed by the deadenylase complex, thereby inducing an orchestrated set of events that enhance both poly(A) shortening and cap removal. Together, these data imply that the coding region of an mRNA not only encodes for protein content but also impacts protein levels through determining the transcript's fate.

Indexed as

Protein BiosynthesisRNA StabilityCodonProteinsRibosomesRNA, MessengerCodonProteinsRNA, Messengercodon optimalitydeadenylationdecappinggenetic codemRNA degradationmRNA stabilityprotein synthesisribosomestranslation

Identifiers

PMID35452615
PMCPMC10111967

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.