Evidence map›Paper›PMID 40615640›Full record

ArticleGeroScience2026

Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea.

Yuping Dai, Miguel V Gomez-Raya-Vilanova, Jérôme Teulière, Mouhammad Toucourou, Eduardo Corel, Louis-Patrick Haraoui, Philippe Lopez, François-Joseph Lapointe, Claudio Franceschi, Annette Baudisch and 4 more

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Yuping DaiDepartment of Computational, Quantitative and Synthetic Biology (CQSB), UMR7238, Sorbonne Université, CNRS, IBPS, 75005, Paris, France.
Miguel V Gomez-Raya-VilanovaInstitut Pasteur, Université Paris Cité, CNRS UMR6047, Cell Biology and Virology of Archaea Unit, 75015, Paris, France.
Jérôme TeulièreDepartment of Computational, Quantitative and Synthetic Biology (CQSB), UMR7238, Sorbonne Université, CNRS, IBPS, 75005, Paris, France.
Mouhammad ToucourouDepartment of Computational, Quantitative and Synthetic Biology (CQSB), UMR7238, Sorbonne Université, CNRS, IBPS, 75005, Paris, France.
Eduardo CorelDepartment of Computational, Quantitative and Synthetic Biology (CQSB), UMR7238, Sorbonne Université, CNRS, IBPS, 75005, Paris, France.
Louis-Patrick HaraouiDepartment of Microbiology and Infectious Diseases, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
Philippe LopezDepartment of Computational, Quantitative and Synthetic Biology (CQSB), UMR7238, Sorbonne Université, CNRS, IBPS, 75005, Paris, France.
François-Joseph LapointeDépartement de Sciences Biologiques, Complexe Des Sciences, Université de Montréal, Montreal, QC, Canada.
Claudio FranceschiDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Annette BaudischInterdisciplinary Centre On Population Dynamics, University of Southern Denmark, 5230, Odense M, Odense, Denmark.
Debashish BhattacharyaDepartment of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA.
Virginija Cvirkaite-KrupovicInstitut Pasteur, Université Paris Cité, CNRS UMR6047, Cell Biology and Virology of Archaea Unit, 75015, Paris, France.
Mart KrupovicInstitut Pasteur, Université Paris Cité, CNRS UMR6047, Cell Biology and Virology of Archaea Unit, 75015, Paris, France. mart.krupovic@pasteur.fr.
Eric BaptesteDepartment of Computational, Quantitative and Synthetic Biology (CQSB), UMR7238, Sorbonne Université, CNRS, IBPS, 75005, Paris, France. epbapteste@gmail.com.ORCID 0000-0003-1966-1215

Funding

Agence Nationale de la Recherche #ANR-23-CE13-022Agence Nationale de la Recherche France Génomique (ANR-10-INBS-09)AMN MNHN ATM MNHN 2022 EVOLMIC (OE-7205)European Research Council 101043983European Research Council Born Once - Die OncePasteur - Paris University (PPU) International PhD Program StipendSorbonne Université Emergence grant S21JR31001-IP/S/V2 EMERG-ESPA
6 · The paper itself

Abstract

One of the prokaryotic partners at the origin of eukaryotes was an archaeon, but do archaea age, and if so, how? Uncovering aging in Archaea might provide more general clues about cellular senescence and rejuvenation and their origins. To fill this knowledge gap, we focused on Saccharolobus islandicus, a model archaeon for which the cell cycle can be synchronized and controlled. We generated longitudinal transcriptomes of synchronized S. islandicus populations that capture typical expression and co-expression profiles associated with chronological aging. These experiments also allowed us to infer average cellular death rates during the cell cycle. Our results are compatible with general patterns of biological aging observed in single cells. However, at the population level, we observe a peak of mortality shortly after cell division in S. islandicus, which we interpret as "negative" demographic aging or ontogenescence, i.e., pre-reproductive mortality decline. To reconcile these observations, we propose a model of S. islandicus aging and rejuvenation. Our research constitutes a first step into the study of aging in archaea on the basis of gene expression, gene co-expression patterns during the cell cycle and biodemography analyses, and proposes a hypothetical new model to explore how cellular senescence and rejuvenation in eukaryotes may have prokaryotic roots. Alternative interpretations of our transcriptomic results however are possible, encouraging future experimental validation of aging in Archaea.

Indexed as

ArchaeaCellular SenescenceCell CycleTranscription, GeneticArchaeaCell cycleCellular agingDemographic agingGene co-expression network

Identifiers

PMID40615640
PMCPMC12972474

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.