Evidence map›Paper›PMID 39863614›Full record

ArticleNature communications2025

Mathematical model linking telomeres to senescence in Saccharomyces cerevisiae reveals cell lineage versus population dynamics.

Anaïs Rat, Veronica Martinez Fernandez, Marie Doumic, Maria Teresa Teixeira, Zhou Xu

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
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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

5 authors.

Anaïs RatAix Marseille Univ, CNRS, I2M, Centrale Marseille, Marseille, France.ORCID http://orcid.org/0000-0001-5174-6329
Veronica Martinez FernandezSorbonne Université, CNRS, Laboratoire de Biologie Moléculaire et Cellulaire des Eucaryotes, LBMCE, Paris, France.
Marie DoumicSorbonne Université, CNRS, Université de Paris, Inria, Laboratoire Jacques-Louis Lions UMR7598, Paris, France. Marie.Doumic@inria.fr.
Maria Teresa TeixeiraSorbonne Université, CNRS, Laboratoire de Biologie Moléculaire et Cellulaire des Eucaryotes, LBMCE, Paris, France. Teresa.Teixeira@cnrs.fr.ORCID http://orcid.org/0000-0002-9466-7951
Zhou XuSorbonne Université, CNRS, Laboratory of Computational and Quantitative Biology, LCQB, Paris, France.ORCID http://orcid.org/0000-0001-9468-1406

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-11-LABX-0011-01Agence Nationale de la Recherche (French National Research Agency) ANR-16-CE12-0026EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) SKIPPERAD 306321Fondation pour la Recherche Médicale (Foundation for Medical Research in France) Equipe LabelliséeInstitut National Du Cancer (French National Cancer Institute) PLBIO20-312 INCa_15192
6 · The paper itself

Abstract

Telomere shortening ultimately causes replicative senescence. However, identifying the mechanisms driving replicative senescence in cell populations is challenging due to the heterogeneity of telomere lengths and the asynchrony of senescence onset. Here, we present a mathematical model of telomere shortening and replicative senescence in Saccharomyces cerevisiae which is quantitatively calibrated and validated using data of telomerase-deficient single cells. Simulations of yeast populations, where cells with varying proliferation capacities compete against each other, show that the distribution of telomere lengths of the initial population shapes population growth, especially through the distribution of cells' shortest telomere lengths. We also quantified how factors influencing cell viability independently of telomeres can impact senescence rates. Overall, we demonstrate a temporal evolution in the composition of senescent cell populations-from a state directly linked to critically short telomeres to a state where senescence onset becomes stochastic. This population structure may promote genome instability and facilitate senescence escape.

Indexed as

Cell LineageCellular SenescenceModels, BiologicalSaccharomyces cerevisiaeTelomereModels, TheoreticalTelomeraseTelomere ShorteningTelomerase

Identifiers

PMID39863614
PMCPMC11762778

What OpenQuestion holds

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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.