Evidence map›Paper›PMID 26608344›Full record

ArticleBMC molecular biology2015

Temperature-induced variation in gene expression burst size in metazoan cells.

Ophélie Arnaud, Sam Meyer, Elodie Vallin, Guillaume Beslon, Olivier Gandrillon

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in BMC molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. The life and death of RNA across temperatures.Computational and structural biotechnology journal · 2022
    Review
  2. Article
  3. Article
  4. Multiscale effects of heating and cooling on genes and gene networks.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Ophélie ArnaudCentre de Génétique et de Physiologie Moléculaire et Cellulaire (CGPhiMC), CNRS UMR5534, Université de Lyon, Université Lyon 1, 69622, Lyon, France. arnaudophe@yahoo.fr.
Sam MeyerLaboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), CNRS UMR5205, INSA-Lyon, INRIA, Université de Lyon, 69621, Lyon, France. sam.meyer@insa-lyon.fr.
Elodie VallinCentre de Génétique et de Physiologie Moléculaire et Cellulaire (CGPhiMC), CNRS UMR5534, Université de Lyon, Université Lyon 1, 69622, Lyon, France. elodie.vallin@univ-lyon1.fr.
Guillaume BeslonLaboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), CNRS UMR5205, INSA-Lyon, INRIA, Université de Lyon, 69621, Lyon, France. guillaume.beslon@inria.fr.
Olivier GandrillonCentre de Génétique et de Physiologie Moléculaire et Cellulaire (CGPhiMC), CNRS UMR5534, Université de Lyon, Université Lyon 1, 69622, Lyon, France. Olivier.Gandrillon@univ-lyon1.fr.
Institut national de recherche en sciences et technologies du numérique · FRStructural and Molecular Basis of Infectious Systems · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene expression is an inherently stochastic process, owing to its dynamic molecular nature. Protein amount distributions, which can be acquired by cytometry using a reporter gene, can inform about the mechanisms of the underlying microscopic molecular system.

resultsBy using different clones of chicken erythroid progenitor cells harboring different integration sites of a CMV-driven mCherry protein, we investigated the dynamical behavior of such distributions. We show that, on short term, clone distributions can be quickly regenerated from small population samples with a high accuracy. On longer term, on the contrary, we show variations manifested by correlated fluctuation in the Mean Fluorescence Intensity. In search for a possible cause of this correlation, we demonstrate that in response to small temperature variations cells are able to adjust their gene expression rate: a modest (2 °C) increase in external temperature induces a significant down regulation of mean expression values, with a reverse effect observed when the temperature is decreased. Using a two-state model of gene expression we further demonstrate that temperature acts by modifying the size of transcription bursts, while the burst frequency of the investigated promoter is less systematically affected.

conclusionsFor the first time, we report that transcription burst size is a key parameter for gene expression that metazoan cells from homeotherm animals can modify in response to an external thermal stimulus.

Indexed as

TemperatureAlpharetrovirusAnimalsCell Line, TransformedChickensErythroblastsErythroid Precursor CellsFlow CytometryFluorescenceGene ExpressionGene Expression RegulationGenes, ReporterPromoter Regions, GeneticRNA, MessengerStochastic ProcessesTranscription, GeneticRNA, Messenger

Identifiers

PMID26608344
PMCPMC4660779
OpenAlexW2174337874

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.