Evidence map›Paper›PMID 40687789›Full record

ArticleiScience2025

Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells.

Kajal Charan, Sandip Kar

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. 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

2 authors.

Kajal CharanDepartment of Chemistry, IIT Bombay, Powai, Mumbai 400076, India.
Sandip KarDepartment of Chemistry, IIT Bombay, Powai, Mumbai 400076, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell cycle duration heterogeneities within a malignant tumor significantly reduce the therapeutic efficacy of cancer treatment. However, identifying factors governing such heterogeneities remains challenging. Herein, we perform a computational modeling study to demonstrate that correlated fluctuations of the inherited transcription rates during cell cycle progression and their random resetting in mitosis are sufficient to account for the experimentally observed cell cycle duration correlation patterns for cell lineage pairs. The model elucidates that the variations in the transcriptional inheritance pattern dictate the extent of the cousin-mother inequality phenomenon in a cell-type-dependent manner. Intriguingly, the model predicts that a reduction in cousin-mother inequality for a fixed mean cell cycle duration can lead to a lowering of the cell cycle duration variabilities at the population level which may have a therapeutic implication. Overall, our study elucidates that correlated transcriptional fluctuations can be the sole governing factor in orchestrating the cell cycle duration heterogeneities.

Indexed as

Biological constraintsIn silico biologyOrganizational aspects of cell biologyTranscriptomics

Identifiers

PMID40687789
PMCPMC12271079

What OpenQuestion holds

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LicenceCC BY
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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.