Evidence map›Paper›PMID 41259402›Full record

ArticlePLoS genetics2025

Dynamic patterns of gene expression match extracellular signals through push-pull regulation.

Luis Fernando Montano-Gutierrez, Marc Sturrock, Iseabail L Farquhar, Kevin Correia, Vahid Shahrezaei, Peter S Swain

Abstract read
In one paragraph

Article in PLoS genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Luis Fernando Montano-GutierrezSchool of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Marc SturrockDepartment of Physiology, Royal College of Surgeons in Ireland, Dublin, Ireland.ORCID https://orcid.org/0000-0002-7435-5256
Iseabail L FarquharSchool of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Kevin CorreiaSchool of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Vahid ShahrezaeiDepartment of Mathematics, Imperial College London, London, United Kingdom.
Peter S SwainSchool of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-7489-8587

Funding

Wellcome Trust
6 · The paper itself

Abstract

Cells can match gene expression to a range of a particular signal. For example, budding yeast expresses at least seven hexose-transporter ([Formula: see text]) genes in different concentration ranges of extracellular glucose. Using time-lapse microscopy, microfluidics, dynamic glucose inputs, and mathematical modelling, we determine how this glucose matching of [Formula: see text] expression occurs mechanistically. The glucose-sensing network generates a push-pull regulation using two pairs of regulators: rising glucose weakens, or "pulls", repression via regulators Mth1 and Std1 while simultaneously strengthening, or "pushing", repression via regulators Mig1 and Mig2; falling glucose reverses this push-pull. The regulators' combined activity reports extracellular glucose. Cells match [Formula: see text] expression to glucose because [Formula: see text] promoters couple to the regulators in ways specific to low, medium, or high-affinity transporters. By rewiring transcription and using model-predicted perturbations, we demonstrate how an [Formula: see text] encoding a medium-affinity transporter can respond as one encoding either a low- or a high-affinity transporter. Matching gene expression to a pattern of input is fundamental; we believe push-pull regulation to be widespread.

Indexed as

Gene Expression Regulation, FungalGlucoseMonosaccharide Transport ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAdaptor Proteins, Signal TransducingGene Regulatory NetworksPromoter Regions, GeneticRepressor ProteinsSignal TransductionTranscription FactorsAdaptor Proteins, Signal TransducingGlucoseMIG1 protein, S cerevisiaeMonosaccharide Transport ProteinsMTH1 protein, S cerevisiaeRepressor ProteinsSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID41259402
PMCPMC12668610

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Registered trials

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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.