Evidence map›Paper›PMID 32059599›Full record

ArticleInternational journal of molecular sciences2020

mRNA with Mammalian Codon Bias Accumulates in Yeast Mutants with Constitutive Stress Granules.

Natalia V Kozlova, Chantal Pichon, A Rachid Rahmouni

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Identification and validation of NJournal of cellular and molecular medicine · 2024
    Article
  3. RNA Regulatory Networks 2.0.International journal of molecular sciences · 2023
    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

3 authors at 2 institutions in 1 country.

Natalia V KozlovaCentre de Biophysique Moléculaire, UPR 4301 du CNRS, Rue Charles Sadron, 45071 Orléans, France.
Chantal PichonCentre de Biophysique Moléculaire, UPR 4301 du CNRS, Rue Charles Sadron, 45071 Orléans, France.
A Rachid RahmouniCentre de Biophysique Moléculaire, UPR 4301 du CNRS, Rue Charles Sadron, 45071 Orléans, France.
Centre National de la Recherche Scientifique · FRUniversité d'Orléans · FR

Funding

La Ligue contre le Cancer comité du Loiret 2014-2015Program of Région Centre-Val de Loire, "ARD 2020 Biomédicament" Project A1
6 · The paper itself

Abstract

Stress granules and P bodies are cytoplasmic structures assembled in response to various stress factors and represent sites of temporary storage or decay of mRNAs. Depending on the source of stress, the formation of these structures may be driven by distinct mechanisms, but several stresses have been shown to stabilize mRNAs via inhibition of deadenylation. A recent study identified yeast gene deletion mutants with constitutive stress granules and elevated P bodies; however, the mechanisms which trigger its formation remain poorly understood. Here, we investigate the possibility of accumulating mRNA with mammalian codon bias, which we termed the model RNA, in these mutants. We found that the model RNA accumulates in

Indexed as

Codon UsageAnimalsCytoplasmic GranulesDown-RegulationEndoplasmic ReticulumEndoribonucleasesExoribonucleasesMammalsMutationRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsStress, PhysiologicalDCP2 protein, S cerevisiaeEndoribonucleasesExoribonucleasesRNA, MessengerSaccharomyces cerevisiae ProteinsXRN1 protein, S cerevisiaemRNA accumulationSaccharomyces cerevisiaestress granules

Identifiers

PMID32059599
PMCPMC7072924
OpenAlexW3006636048

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.