Evidence map›Paper›PMID 31358845›Full record

ArticleScientific reports2019

Extensive post-transcriptional buffering of gene expression in the response to severe oxidative stress in baker's yeast.

William R Blevins, Teresa Tavella, Simone G Moro, Bernat Blasco-Moreno, Adrià Closa-Mosquera, Juana Díez, Lucas B Carey, M Mar Albà

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 76 citations in OpenAlex.

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  15. Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

8 authors at 3 institutions in 4 countries.

William R BlevinsEvolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Teresa TavellaEvolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Simone G MoroEvolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Bernat Blasco-MorenoHealth and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.
Adrià Closa-MosqueraHealth and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.
Juana DíezHealth and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.
Lucas B CareyHealth and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0002-7245-6379
M Mar AlbàEvolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain. malba@imim.es.ORCID http://orcid.org/0000-0002-7963-7375
Universitat Pompeu Fabra · ESAustralian National University · AUInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

The effects of aromatase inhibition in older men with hypogonadismZIAAG000974 · NIA · NATIONAL INSTITUTE ON AGING · PI CHIA, CHEE W · 2009 to 2016
$2.7M
AG-NOR PROTEINS USED FOR CANCER DIAGNOSISR55CA068351 · NCI · BAYLOR COLLEGE OF MEDICINE · PI VALDEZ, BENIGNO C · 1995 to 1995
–
6 · The paper itself

Abstract

Cells responds to diverse stimuli by changing the levels of specific effector proteins. These changes are usually examined using high throughput RNA sequencing data (RNA-Seq); transcriptional regulation is generally assumed to directly influence protein abundances. However, the correlation between RNA-Seq and proteomics data is in general quite limited owing to differences in protein stability and translational regulation. Here we perform RNA-Seq, ribosome profiling and proteomics analyses in baker's yeast cells grown in rich media and oxidative stress conditions to examine gene expression regulation at various levels. With the exception of a small set of genes involved in the maintenance of the redox state, which are regulated at the transcriptional level, modulation of protein expression is largely driven by changes in the relative ribosome density across conditions. The majority of shifts in mRNA abundance are compensated by changes in the opposite direction in the number of translating ribosomes and are predicted to result in no net change at the protein level. We also identify a subset of mRNAs which is likely to undergo specific translational repression during stress and which includes cell cycle control genes. The study suggests that post-transcriptional buffering of gene expression may be more common than previously anticipated.

Indexed as

Gene Expression Regulation, FungalOxidative StressProtein BiosynthesisRibosomesRNA, FungalRNA, MessengerSaccharomyces cerevisiaeSequence Analysis, RNARNA, FungalRNA, Messenger

Identifiers

PMID31358845
PMCPMC6662803
OpenAlexW2965875787

What OpenQuestion holds

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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.