Evidence map›Paper›PMID 40097446›Full record

ArticleNature communications2025

Transcriptional heterogeneity shapes stress-adaptive responses in yeast.

Mariona Nadal-Ribelles, Guillaume Lieb, Carme Solé, Yaima Matas, Ugo Szachnowski, Sara Andjus, Maria Quintana, Mònica Romo, Aitor Gonzalez Herrero, Antonin Morillon and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. RiboScreenBiomedicines · 2026
    Review
  3. In thePNAS nexus · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

13 authors.

Mariona Nadal-RibellesDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain. mariona.nadal@irbbarcelona.org.ORCID http://orcid.org/0000-0003-3314-6711
Guillaume LiebDepartment of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0009-0005-4510-0966
Carme SoléDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0003-4543-7401
Yaima MatasDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain.ORCID http://orcid.org/0009-0005-3403-3892
Ugo SzachnowskincRNA, Epigenetic and Genome Fluidity, Institut Curie, Sorbonne Université, CNRS UMR3244, F-75248, Paris, Cedex 05, France.
Sara AndjusncRNA, Epigenetic and Genome Fluidity, Institut Curie, Sorbonne Université, CNRS UMR3244, F-75248, Paris, Cedex 05, France.
Maria QuintanaDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0002-8042-529X
Mònica RomoDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain.
Aitor Gonzalez HerreroDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain.ORCID http://orcid.org/0000-0002-2644-8028
Antonin MorillonncRNA, Epigenetic and Genome Fluidity, Institut Curie, Sorbonne Université, CNRS UMR3244, F-75248, Paris, Cedex 05, France.ORCID http://orcid.org/0000-0002-0575-5264
Serge PeletDepartment of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0245-049X
Eulàlia de NadalDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain. eulalia.nadal@upf.edu.ORCID http://orcid.org/0000-0003-0039-5607
Francesc PosasDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain. francesc.posas@irbbarcelona.org.ORCID http://orcid.org/0000-0002-4164-7076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to stress, cells activate signaling pathways that coordinate broad changes in gene expression to enhance cell survival. Remarkably, complex variations in gene expression occur even in isogenic populations and in response to similar signaling inputs. However, the molecular mechanisms underlying this variability and their influence on adaptive cell fate decisions are not fully understood. Here, we use scRNA-seq to longitudinally assess transcriptional dynamics during osmoadaptation in yeast. Our findings reveal highly heterogeneous expression of the osmoresponsive program, which organizes into combinatorial patterns that generate distinct cellular programs. The induction of these programs is favored by global transcriptome repression upon stress. Cells displaying basal expression of the osmoresponsive program are hyper-responsive and resistant to stress. Through a transcription-focused analysis of more than 300 RNA-barcoded deletion mutants, we identify genetic factors that shape the heterogeneity of the osmostress-induced transcriptome, define regulators of stress-related subpopulations and find a link between transcriptional heterogeneity and increased cell fitness. Our findings provide a regulatory map of the complex transcriptional phenotypes underlying osmoadaptation in yeast and highlight the importance of transcriptional heterogeneity in generating distinct adaptive strategies.

Indexed as

Adaptation, PhysiologicalGene Expression Regulation, FungalSaccharomyces cerevisiaeStress, PhysiologicalTranscription, GeneticGene Expression ProfilingOsmotic PressureRNA-SeqSaccharomyces cerevisiae ProteinsSignal TransductionTranscriptomeSaccharomyces cerevisiae Proteins

Identifiers

PMID40097446
PMCPMC11914649

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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.