Evidence map›Paper›PMID 29018283›Full record

ReviewNature reviews. Molecular cell biology2018

Codon optimality, bias and usage in translation and mRNA decay.

Gavin Hanson, Jeff Coller

Abstract readReview
In one paragraph

Review in Nature reviews. Molecular cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 466 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
466citing papers in PubMed, 1 pooled it
–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

466 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  8. Towards mRNA therapeutics 2.0.Nature reviews. Drug discovery · 2026
    Review
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406 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.

Gavin HansonCenter for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, Ohio 44106, USA.
Jeff CollerCenter for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, Ohio 44106, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
Understanding the Interconnection Between mRNA turnover and mRNA TranslationR01GM125086 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COLLER, JEFFERY · 2017 to 2020
$1.6M
Determining the influence of codon optimality on mRNA translation and decayR01GM118018 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COLLER, JEFFERY · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM118018NIGMS NIH HHS R01 GM125086NIGMS NIH HHS T32 GM007250
6 · The paper itself

Abstract

The advent of ribosome profiling and other tools to probe mRNA translation has revealed that codon bias - the uneven use of synonymous codons in the transcriptome - serves as a secondary genetic code: a code that guides the efficiency of protein production, the fidelity of translation and the metabolism of mRNAs. Recent advancements in our understanding of mRNA decay have revealed a tight coupling between ribosome dynamics and the stability of mRNA transcripts; this coupling integrates codon bias into the concept of codon optimality, or the effects that specific codons and tRNA concentrations have on the efficiency and fidelity of the translation machinery. In this Review, we first discuss the evidence for codon-dependent effects on translation, beginning with the basic mechanisms through which translation perturbation can affect translation efficiency, protein folding and transcript stability. We then discuss how codon effects are leveraged by the cell to tailor the proteome to maintain homeostasis, execute specific gene expression programmes of growth or differentiation and optimize the efficiency of protein production.

Indexed as

AnimalsCodonHomeostasisHumansProtein BiosynthesisProtein FoldingProteinsRibosomesRNA, MessengerRNA StabilityCodonProteinsRNA, Messenger

Identifiers

PMID29018283
PMCPMC6594389

What OpenQuestion holds

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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.