Evidence map›Paper›PMID 26717982›Full record

SynthesisNucleic acids research2016

The cellular growth rate controls overall mRNA turnover, and modulates either transcription or degradation rates of particular gene regulons.

José García-Martínez, Lidia Delgado-Ramos, Guillermo Ayala, Vicent Pelechano, Daniel A Medina, Fany Carrasco, Ramón González, Eduardo Andrés-León, Lars Steinmetz, Jonas Warringer and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. eIF5A coordinates the transcription and translation of its target genes.Cellular and molecular life sciences : CMLS · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Enhanced gene regulation by cooperation between mRNA decay and gene transcription.Biochimica et biophysica acta. Gene regulatory mechanisms · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Targeting exosome-associated human antigen R attenuates fibrosis and inflammation in diabetic heart.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

12 authors.

José García-MartínezDepartamento de Genética, Facultad de Ciencias Biológicas, Universitat de València. C/ Dr. Moliner 50. E46100, Burjassot, Spain ERI Biotecmed, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain.
Lidia Delgado-RamosInstituto de Biomedicina de Sevilla (IBiS), Hospital Virgen del Rocío-CSIC-Universidad de Sevilla, C/ Antonio Maura Montaner, E41013 Sevilla Departamento de Genética, Universidad de Sevilla, Avenida de la Reina Mercedes s/n, E41012, Spain.
Guillermo AyalaDepartamento de Estadística e Investigación Operativa, Facultad de Matemáticas, Universitat de València. C/ Dr. Moliner 50. E46100, Burjassot, Spain.
Vicent PelechanoEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Daniel A MedinaERI Biotecmed, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain.
Fany CarrascoERI Biotecmed, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain.
Ramón GonzálezInstituto de Ciencias de la Vid y del Vino (CSIC, Universidad de La Rioja, Gobierno de La Rioja), Finca La Grajera LO-20 Salida 13, Autovía del Camino de Santiago, E26007 Logroño, Spain.
Eduardo Andrés-LeónInstituto de Biomedicina de Sevilla (IBiS), Hospital Virgen del Rocío-CSIC-Universidad de Sevilla, C/ Antonio Maura Montaner, E41013 Sevilla.ORCID http://orcid.org/0000-0002-0621-9914
Lars SteinmetzEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany Stanford University School of Medicine, Department of Genetics, Stanford, CA 94305, USA Stanford Genome Technology Center, 3165 Porter Dr. Palo Alto, CA 94305, USA.
Jonas WarringerDepartment of Chemistry and Molecular Biology, University of Gothenburg, Medicinaregatan 9 c, 40530 Göteborg, Sweden.
Sebastián ChávezInstituto de Biomedicina de Sevilla (IBiS), Hospital Virgen del Rocío-CSIC-Universidad de Sevilla, C/ Antonio Maura Montaner, E41013 Sevilla Departamento de Genética, Universidad de Sevilla, Avenida de la Reina Mercedes s/n, E41012, Spain jose.e.perez@uv.es.
José E Pérez-OrtínERI Biotecmed, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universitat de Valencia. C/ Dr. Moliner 50. E46100, Burjassot, Spain jose.e.perez@uv.es.ORCID http://orcid.org/0000-0002-1992-513X

Funding

European Research Council 294542
6 · The paper itself

Abstract

We analyzed 80 different genomic experiments, and found a positive correlation between both RNA polymerase II transcription and mRNA degradation with growth rates in yeast. Thus, in spite of the marked variation in mRNA turnover, the total mRNA concentration remained approximately constant. Some genes, however, regulated their mRNA concentration by uncoupling mRNA stability from the transcription rate. Ribosome-related genes modulated their transcription rates to increase mRNA levels under fast growth. In contrast, mitochondria-related and stress-induced genes lowered mRNA levels by reducing mRNA stability or the transcription rate, respectively. We also detected these regulations within the heterogeneity of a wild-type cell population growing in optimal conditions. The transcriptomic analysis of sorted microcolonies confirmed that the growth rate dictates alternative expression programs by modulating transcription and mRNA decay.The regulation of overall mRNA turnover keeps a constant ratio between mRNA decay and the dilution of [mRNA] caused by cellular growth. This regulation minimizes the indiscriminate transmission of mRNAs from mother to daughter cells, and favors the response capacity of the latter to physiological signals and environmental changes. We also conclude that, by uncoupling mRNA synthesis from decay, cells control the mRNA abundance of those gene regulons that characterize fast and slow growth.

Indexed as

Gene Expression RegulationRegulonRNA StabilityTranscription, GeneticGenes, MitochondrialGenes, rRNAOrganelle BiogenesisRibosomesRNA-Binding ProteinsRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsPUF3 protein, S cerevisiaeRNA-Binding ProteinsRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID26717982
PMCPMC4856968

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.