Evidence map›Paper›PMID 33878104›Full record

ArticlePLoS genetics2021

Transcriptome-wide investigation of stop codon readthrough in Saccharomyces cerevisiae.

Kotchaphorn Mangkalaphiban, Feng He, Robin Ganesan, Chan Wu, Richard Baker, Allan Jacobson

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

38 citing papers in PubMed, 48 citations in OpenAlex.

  1. Translation fidelity mechanisms and their changes in aging.bioRxiv : the preprint server for biology · 2026
    Article
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  5. RiboScreenBiomedicines · 2026
    Review
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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

6 authors at 1 institution in 1 country.

Kotchaphorn MangkalaphibanDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Feng HeDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Robin GanesanDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0003-1150-5189
Chan WuDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0002-1570-3345
Richard BakerDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Allan JacobsonDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0002-5661-3821
University of Massachusetts Chan Medical School · US

Funding

MESSENGER RNA METABOLISM IN YEASTR01GM027757 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI JACOBSON, ALLAN S · 1985 to 2016
$3.8M
Genetic nonsense and its consequencesR35GM122468 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI JACOBSON, ALLAN S · 2017 to 2021
$2.7M
NIGMS NIH HHS R01 GM027757NIGMS NIH HHS R35 GM122468
6 · The paper itself

Abstract

Translation of mRNA into a polypeptide is terminated when the release factor eRF1 recognizes a UAA, UAG, or UGA stop codon in the ribosomal A site and stimulates nascent peptide release. However, stop codon readthrough can occur when a near-cognate tRNA outcompetes eRF1 in decoding the stop codon, resulting in the continuation of the elongation phase of protein synthesis. At the end of a conventional mRNA coding region, readthrough allows translation into the mRNA 3'-UTR. Previous studies with reporter systems have shown that the efficiency of termination or readthrough is modulated by cis-acting elements other than stop codon identity, including two nucleotides 5' of the stop codon, six nucleotides 3' of the stop codon in the ribosomal mRNA channel, and stem-loop structures in the mRNA 3'-UTR. It is unknown whether these elements are important at a genome-wide level and whether other mRNA features proximal to the stop codon significantly affect termination and readthrough efficiencies in vivo. Accordingly, we carried out ribosome profiling analyses of yeast cells expressing wild-type or temperature-sensitive eRF1 and developed bioinformatics strategies to calculate readthrough efficiency, and to identify mRNA and peptide features which influence that efficiency. We found that the stop codon (nt +1 to +3), the nucleotide after it (nt +4), the codon in the P site (nt -3 to -1), and 3'-UTR length are the most influential features in the control of readthrough efficiency, while nts +5 to +9 had milder effects. Additionally, we found low readthrough genes to have shorter 3'-UTRs compared to high readthrough genes in cells with thermally inactivated eRF1, while this trend was reversed in wild-type cells. Together, our results demonstrated the general roles of known regulatory elements in genome-wide regulation and identified several new mRNA or peptide features affecting the efficiency of translation termination and readthrough.

Indexed as

3' Untranslated RegionsCodon, TerminatorComputational BiologyHumansOpen Reading FramesPeptide Chain Termination, TranslationalPeptide Termination FactorsProtein BiosynthesisRibosomesRNA, MessengerRNA, TransferSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptome3' Untranslated RegionsCodon, TerminatorPeptide Termination FactorsRNA, MessengerRNA, TransferSaccharomyces cerevisiae ProteinsSUP45 protein, S cerevisiae

Identifiers

PMID33878104
PMCPMC8087045
OpenAlexW3153582041

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.