Evidence map›Paper›PMID 25800673›Full record

ArticleGenome research2015

Global variability in gene expression and alternative splicing is modulated by mitochondrial content.

Raul Guantes, Alberto Rastrojo, Ricardo Neves, Ana Lima, Begoña Aguado, Francisco J Iborra

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
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

65 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
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5 more citing papers are in PubMed but not listed here.

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 4 institutions in 4 countries.

Raul GuantesDepartment of Condensed Matter Physics, Materials Science Institute "Nicolás Cabrera" and Institute of Condensed Matter Physics (IFIMAC), Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain;
Alberto RastrojoCentro Biología Molecular "Severo Ochoa," CSIC-UAM, Campus de Cantoblanco, 28049 Madrid, Spain;
Ricardo NevesMRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Headington, Oxford OX3 9DS, United Kingdom;
Ana LimaUC Biotech, Center for Neuroscience and Cell Biology, Biocant, Center of Innovation in Biotechnology, 3060-197 Cantanhede, Portugal;
Begoña AguadoCentro Biología Molecular "Severo Ochoa," CSIC-UAM, Campus de Cantoblanco, 28049 Madrid, Spain;
Francisco J IborraMRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Headington, Oxford OX3 9DS, United Kingdom; Centro Nacional de Biotecnología, CSIC, Campus de Cantoblanco, 28049 Madrid, Spain.
Consejo Superior de Investigaciones Científicas · ESJohn Radcliffe Hospital · GBBiocant · PTUniversidad Autónoma de Madrid · ES

Funding

Medical Research Council
6 · The paper itself

Abstract

Noise in gene expression is a main determinant of phenotypic variability. Increasing experimental evidence suggests that genome-wide cellular constraints largely contribute to the heterogeneity observed in gene products. It is still unclear, however, which global factors affect gene expression noise and to what extent. Since eukaryotic gene expression is an energy demanding process, differences in the energy budget of each cell could determine gene expression differences. Here, we quantify the contribution of mitochondrial variability (a natural source of ATP variation) to global variability in gene expression. We find that changes in mitochondrial content can account for ∼50% of the variability observed in protein levels. This is the combined result of the effect of mitochondria dosage on transcription and translation apparatus content and activities. Moreover, we find that mitochondrial levels have a large impact on alternative splicing, thus modulating both the abundance and type of mRNAs. A simple mathematical model in which mitochondrial content simultaneously affects transcription rate and splicing site choice can explain the alternative splicing data. The results of this study show that mitochondrial content (and/or probably function) influences mRNA abundance, translation, and alternative splicing, which ultimately affects cellular phenotype.

Indexed as

Alternative SplicingGenomeDNA, MitochondrialEnergy MetabolismGenetic VariationHeLa CellsHumansMitochondriaRNA, MessengerDNA, MitochondrialRNA, Messenger

Identifiers

PMID25800673
PMCPMC4417112
OpenAlexW2020247204

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.