Evidence map›Paper›PMID 41054543›Full record

ArticleiScience2025

A population model reveals a surprising role of stochastic cell division in epigenetic memory systems.

Viviane Klingel, Dimitri Graf, Sara Weirich, Albert Jeltsch, Nicole E Radde

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Cell division sets a universal flow geometry in cell layers.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

5 authors.

Viviane KlingelInstitute for Stochastics and Applications, University of Stuttgart, Wankelstrase 5, 70563 Stuttgart, Germany.
Dimitri GrafInstitute of Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Sara WeirichInstitute of Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Albert JeltschInstitute of Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Nicole E RaddeInstitute for Stochastics and Applications, University of Stuttgart, Wankelstrase 5, 70563 Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic memory systems store transient environmental signals in bacteria in specific DNA methylation patterns. Synthetic zinc finger protein (ZnF4) binds to the DNA in a methylation-dependent manner and represses the expression of the DNA methyltransferase CcrM. The mechanisms ensuring long-term ON-state stability remain unclear. Measurements showed a gradual shift of cell populations from ON to OFF starting after four days of cultivation. We use a hybrid modeling approach integrating flow cytometry data and bulk DNA methylation measurements to test the hypothesis that stochastic cell division is a key factor in this transition. Interestingly, model parameters cluster into two groups with opposite effects of cell division rates on ON-state stability. Experiments show that faster cell division increases memory stability-an initially unexpected result. Model simulations provide a potential explanation for this observation and deepen our understanding of the mechanisms and timing of the ON/OFF switch in individual cells.

Indexed as

biological constraintsepigeneticsintegrative aspects of cell biologymicrobial physiology

Identifiers

PMID41054543
PMCPMC12496179

What OpenQuestion holds

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Registered trials

None linked

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.