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

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.

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Publication Details

Journal
iScience
Published
2025-06-21
DOI
https://doi.org/10.1016/j.isci.2025.112981
Citations
2
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
1.61

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article

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

Kajal Charan, Sandip Kar
2 citations
iScience
Gene Regulatory Network Analysis
1.61
article

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

Kajal Charan, Sandip Kar
article en
2 citations

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.

iScienceVol. 28(7)
Indian Institute of Technology Bombay (IN)
Council for Scientific and Industrial Research, South Africa, University Grants Commission, Science and Engineering Research Board
Zero hunger
Openalex Percentile: Top 16%
Gene Regulatory Network Analysis
1.61
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