Evidence map›Paper›PMID 38096059›Full record

ArticleCell reports2023

Synonymous codon usage regulates translation initiation.

Chloe L Barrington, Gabriel Galindo, Amanda L Koch, Emma R Horton, Evan J Morrison, Samantha Tisa, Timothy J Stasevich, Olivia S Rissland

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 56 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Chloe L BarringtonDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Gabriel GalindoDepartment of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA.
Amanda L KochDepartment of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA.
Emma R HortonDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Evan J MorrisonDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Samantha TisaDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Timothy J StasevichDepartment of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA.
Olivia S RisslandDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA. Electronic address: olivia.rissland@gmail.com.
University of Colorado Denver · USColorado State University · US

Funding

Predoctoral Training Program in Molecular and Cellular Biology (Supplement: Mentoring in the Research Environment)T32GM136444 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI MICHAEL A MCMURRAY, Rytis Prekeris · 2020 to 2026
$3.7M
Exploring the connections between translation and mRNA decayR35GM128680 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Olivia Selfridge Rissland · 2018 to 2026
$3.7M
NIGMS NIH HHS R35 GM128680NIGMS NIH HHS T32 GM136444
6 · The paper itself

Abstract

Nonoptimal synonymous codons repress gene expression, but the underlying mechanisms are poorly understood. We and others have previously shown that nonoptimal codons slow translation elongation speeds and thereby trigger messenger RNA (mRNA) degradation. Nevertheless, transcript levels are often insufficient to explain protein levels, suggesting additional mechanisms by which codon usage regulates gene expression. Using reporters in human and Drosophila cells, we find that transcript levels account for less than half of the variation in protein abundance due to codon usage. This discrepancy is explained by translational differences whereby nonoptimal codons repress translation initiation. Nonoptimal transcripts are also less bound by the translation initiation factors eIF4E and eIF4G1, providing a mechanistic explanation for their reduced initiation rates. Importantly, translational repression can occur without mRNA decay and deadenylation, and it does not depend on the known nonoptimality sensor, CNOT3. Our results reveal a potent mechanism of regulation by codon usage where nonoptimal codons repress further rounds of translation.

Indexed as

Codon UsageRibosomesAnimalsCodonDrosophilaHumansProtein BiosynthesisProteinsRNA, MessengerTranscription FactorsCNOT3 protein, humanCodonProteinsRNA, MessengerTranscription FactorsCNOT3codon optimalityCP: Molecular biologydeadenylationeIF4Egene regulationmRNA decayribosometranslational repressiontranslation initiation

Identifiers

PMID38096059
PMCPMC10790568
OpenAlexW4389606662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.