Evidence map›Paper›PMID 27166679›Full record

ArticlePLoS genetics2016

Codon-Driven Translational Efficiency Is Stable across Diverse Mammalian Cell States.

Konrad L M Rudolph, Bianca M Schmitt, Diego Villar, Robert J White, John C Marioni, Claudia Kutter, Duncan T Odom

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
7.7field-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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
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  20. CCT3-Gut · 2022
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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

7 authors at 3 institutions in 2 countries.

Konrad L M RudolphEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom.
Bianca M SchmittUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom.
Diego VillarUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom.
Robert J WhiteUniversity of York, Department of Biology, York, United Kingdom.
John C MarioniEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom.
Claudia KutterUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom.
Duncan T OdomUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom.ORCID 0000-0001-6201-5599
University of Cambridge · GBEuropean Bioinformatics Institute · GBUniversity of York · GB

Funding

Cancer Research UK 20412Cancer Research UK 22231European Research Council 615584Wellcome Trust 098051Wellcome Trust WT098051
6 · The paper itself

Abstract

Whether codon usage fine-tunes mRNA translation in mammals remains controversial, with recent papers suggesting that production of proteins in specific Gene Ontological (GO) pathways can be regulated by actively modifying the codon and anticodon pools in different cellular conditions. In this work, we compared the sequence content of genes in specific GO categories with the exonic genome background. Although a substantial fraction of variability in codon usage could be explained by random sampling, almost half of GO sets showed more variability in codon usage than expected by chance. Nevertheless, by quantifying translational efficiency in healthy and cancerous tissues in human and mouse, we demonstrated that a given tRNA pool can equally well translate many different sets of mRNAs, irrespective of their cell-type specificity. This disconnect between variations in codon usage and the stability of translational efficiency is best explained by differences in GC content between gene sets. GC variation across the mammalian genome is most likely a result of the interplay between genome repair and gene duplication mechanisms, rather than selective pressures caused by codon-driven translational rates. Consequently, codon usage differences in mammalian transcriptomes are most easily explained by well-understood mutational biases acting on the underlying genome.

Indexed as

Selection, GeneticAnimalsAnticodonBase CompositionCodonGene ExpressionGene OntologyGenomicsHumansMammalsMiceModels, GeneticProtein BiosynthesisRNA, MessengerRNA, TransferTranscriptomeAnticodonCodonRNA, MessengerRNA, Transfer

Identifiers

PMID27166679
PMCPMC4864286
OpenAlexW2378488822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.