Evidence map›Paper›PMID 40102404›Full record

ArticleNature communications2025

A single-cell resolved genotype-phenotype map using genome-wide genetic and environmental perturbations.

Mariona Nadal-Ribelles, Carme Solé, Anna Díez-Villanueva, Camille Stephan-Otto Attolini, Yaima Matas, Lars Steinmetz, Eulàlia de Nadal, Francesc Posas

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. Review
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  8. Single-cell analyses identify independent aging processes that compete to determine cellular fate in budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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

8 authors.

Mariona Nadal-RibellesDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain. mariona.nadal@irbbarcelona.org.ORCID http://orcid.org/0000-0003-3314-6711
Carme SoléDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4543-7401
Anna Díez-VillanuevaInstitute for Research in Biomedicine (IRB Barcelona), the Barcelona Institute of Science and Technology, Barcelona, Spain.
Camille Stephan-Otto AttoliniInstitute for Research in Biomedicine (IRB Barcelona), the Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0001-8045-320X
Yaima MatasDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0009-0005-3403-3892
Lars SteinmetzDepartment of Genetics, Stanford University, School of Medicine, California, USA.ORCID http://orcid.org/0000-0002-3962-2865
Eulàlia de NadalDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain. eulalia.nadal@upf.edu.ORCID http://orcid.org/0000-0003-0039-5607
Francesc PosasDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 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

Heterogeneity is inherent to living organisms and it determines cell fate and phenotypic variability. Despite its ubiquity, the underlying molecular mechanisms and the genetic basis linking genotype to-phenotype heterogeneity remain a central challenge. Here we construct a yeast knockout library with a clone and genotype RNA barcoding structure suitable for genome-scale analyses to generate a high-resolution single-cell yeast transcriptome atlas of 3500 mutants under control and stress conditions. We find that transcriptional heterogeneity reflects the coordinated expression of specific gene programs, generating a continuous of cell states that can be responsive to external insults. Cell state plasticity can be genetically modulated with mutants that act as state attractors and disruption of state homeostasis results in decreased adaptive fitness. Leveraging on intra-genetic variability, we establish that regulators of transcriptional heterogeneity are functionally diverse and influenced by the environment. Our multimodal perturbation-based single-cell Genotype-to-Transcriptome Atlas in yeast provides insights into organism-level responses.

Indexed as

Genome, FungalSaccharomyces cerevisiaeSingle-Cell AnalysisGene Expression ProfilingGene Expression Regulation, FungalGenotypeMutationPhenotypeTranscriptome

Identifiers

PMID40102404
PMCPMC11920212

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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.