Evidence map›Paper›PMID 27580715›Full record

ArticleNucleic acids research2016

Tma108, a putative M1 aminopeptidase, is a specific nascent chain-associated protein in Saccharomyces cerevisiae.

Thierry Delaveau, Dimitri Davoine, Ariane Jolly, Antoine Vallot, Jérôme O Rouvière, Athenaïs Gerber, Sandra Brochet, Marion Plessis, Roxane Roquigny, Jawad Merhej and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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  5. METTL3/mFrontiers in pharmacology · 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

17 authors at 4 institutions in 1 country.

Thierry DelaveauSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Dimitri DavoineSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Ariane JollySorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Antoine VallotSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Jérôme O RouvièreInstitut Jacques Monod, CNRS, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, F-75205 Paris, France.
Athenaïs GerberSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Sandra BrochetSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Marion PlessisSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Roxane RoquignySorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Jawad MerhejSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Thibaut LegerProteomics facility, Institut Jacques Monod, CNRS, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, F-75205 Paris, France.
Camille GarciaProteomics facility, Institut Jacques Monod, CNRS, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, F-75205 Paris, France.
Gaëlle LelandaisInstitut Jacques Monod, CNRS, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, F-75205 Paris, France.
Elodie LaineSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Benoit PalancadeInstitut Jacques Monod, CNRS, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, F-75205 Paris, France.
Frédéric DevauxSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France.
Mathilde GarciaSorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie computationnelle et quantitative - Institut de Biologie Paris Seine (LCQB - IBPS), 75005 Paris, France mathilde.garcia@upmc.fr.
Laboratoire de Biologie Computationnelle et Quantitative · FRInstitut Jacques Monod · FRDélégation Paris 7 · FRSorbonne Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of novel specific ribosome-associated factors challenges the assumption that translation relies on standardized molecular machinery. In this work, we demonstrate that Tma108, an uncharacterized translation machinery-associated factor in yeast, defines a subpopulation of cellular ribosomes specifically involved in the translation of less than 200 mRNAs encoding proteins with ATP or Zinc binding domains. Using ribonucleoparticle dissociation experiments we established that Tma108 directly interacts with the nascent protein chain. Additionally, we have shown that translation of the first 35 amino acids of Asn1, one of the Tma108 targets, is necessary and sufficient to recruit Tma108, suggesting that it is loaded early during translation. Comparative genomic analyses, molecular modeling and directed mutagenesis point to Tma108 as an original M1 metallopeptidase, which uses its putative catalytic peptide-binding pocket to bind the N-terminus of its targets. The involvement of Tma108 in co-translational regulation is attested by a drastic change in the subcellular localization of ATP2 mRNA upon Tma108 inactivation. Tma108 is a unique example of a nascent chain-associated factor with high selectivity and its study illustrates the existence of other specific translation-associated factors besides RNA binding proteins.

Indexed as

Protein BiosynthesisAdenosine TriphosphateAminopeptidasesIn Situ Hybridization, FluorescenceMitochondriaPeptide Chain Elongation, TranslationalProtein BindingProton-Translocating ATPasesRibosomesRNA-Binding ProteinsRNA, MessengerRNA TransportSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsZincAdenosine TriphosphateAminopeptidasesATP2 protein, S cerevisiaeProton-Translocating ATPasesRNA-Binding ProteinsRNA, MessengerSaccharomyces cerevisiae ProteinsZinc

Identifiers

PMID27580715
PMCPMC5062994
OpenAlexW2514149726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.