Evidence map›Paper›PMID 35587152›Full record

ArticleG3 (Bethesda, Md.)2022

Genetic background and mistranslation frequency determine the impact of mistranslating tRNASerUGG.

Matthew D Berg, Yanrui Zhu, Raphaël Loll-Krippleber, Bryan-Joseph San Luis, Julie Genereaux, Charles Boone, Judit Villén, Grant W Brown, Christopher J Brandl

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Mistranslating tRNA variants impact the proteome and phosphoproteome ofbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Interplay between mistranslation and oxidative stress inArhiv za higijenu rada i toksikologiju · 2024
    Article
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

9 authors at 3 institutions in 2 countries.

Matthew D BergDepartment of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.ORCID 0000-0002-7924-9241
Yanrui ZhuDepartment of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.
Raphaël Loll-KrippleberDepartment of Biochemistry, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.
Bryan-Joseph San LuisDepartment of Molecular Genetics, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 1A8, Canada.
Julie GenereauxDepartment of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.
Charles BooneDepartment of Molecular Genetics, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 1A8, Canada.ORCID 0000-0002-3542-6760
Judit VillénDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-1005-1739
Grant W BrownDepartment of Biochemistry, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.ORCID 0000-0002-9002-5003
Christopher J BrandlDepartment of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.ORCID 0000-0001-8015-9668
University of Toronto · CAWestern University · CAUniversity of Washington · US

Funding

Towards a comprehensive roadmap of cellular signaling.R35GM119536 · NIGMS · UNIVERSITY OF WASHINGTON · PI VILLEN, JUDIT · 2016 to 2020
$2.2M
CIHR FDN-159913NIGMS NIH HHS R35 GM119536
6 · The paper itself

Abstract

Transfer RNA variants increase the frequency of mistranslation, the misincorporation of an amino acid not specified by the "standard" genetic code, to frequencies approaching 10% in yeast and bacteria. Cells cope with these variants by having multiple copies of each tRNA isodecoder and through pathways that deal with proteotoxic stress. In this study, we define the genetic interactions of the gene encoding tRNASerUGG,G26A, which mistranslates serine at proline codons. Using a collection of yeast temperature-sensitive alleles, we identify negative synthetic genetic interactions between the mistranslating tRNA and 109 alleles representing 91 genes, with nearly half of the genes having roles in RNA processing or protein folding and turnover. By regulating tRNA expression, we then compare the strength of the negative genetic interaction for a subset of identified alleles under differing amounts of mistranslation. The frequency of mistranslation correlated with the impact on cell growth for all strains analyzed; however, there were notable differences in the extent of the synthetic interaction at different frequencies of mistranslation depending on the genetic background. For many of the strains, the extent of the negative interaction with tRNASerUGG,G26A was proportional to the frequency of mistranslation or only observed at intermediate or high frequencies. For others, the synthetic interaction was approximately equivalent at all frequencies of mistranslation. As humans contain similar mistranslating tRNAs, these results are important when analyzing the impact of tRNA variants on disease, where both the individual's genetic background and the expression of the mistranslating tRNA variant need to be considered.

Indexed as

Protein BiosynthesisSaccharomyces cerevisiaeCodonGenetic BackgroundHumansRNA, TransferCodonRNA, Transferamino acid substitutiongenetic interactionsmistranslationSaccharomyces cerevisiaetRNA

Identifiers

PMID35587152
PMCPMC9258585
OpenAlexW4280565827

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.