ArticlePLoS computational biology2019
Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Competitive resource allocation drives asynchronous and rapid nuclear multiplication in the malaria parasite.Nature communications · 2026Article
- Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells.iScience · 2025Article
- Measuring Regulatory Network Inheritance in Dividing Yeast Cells Using Ordinary Differential Equations.bioRxiv : the preprint server for biology · 2025Article
- Combining lineage correlations and a small molecule inhibitor to detect circadian control of the cell cycle.iScience · 2025Article
- Interdependency of estradiol-mediated ERα activation and subsequent PR and GREB1 induction to control cell cycle progression.Heliyon · 2024Article
- Modeling the Circadian Control of the Cell Cycle and Its Consequences for Cancer Chronotherapy.Biology · 2023Article
- Characterization of cell-to-cell variation in nuclear transport rates and identification of its sources.iScience · 2023Article
- Article
- Reoccurring neural stem cell divisions in the adult zebrafish telencephalon are sufficient for the emergence of aggregated spatiotemporal patterns.PLoS biology · 2020Article
- Statistical Inference for the Evolutionary History of Cancer Genomes.Statistical science : a review journal of the Institute of Mathematical Statistics · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
The cell cycle is the fundamental process of cell populations, it is regulated by environmental cues and by intracellular checkpoints. Cell cycle variability in clonal cell population is caused by stochastic processes such as random partitioning of cellular components to progeny cells at division and random interactions among biomolecules in cells. One of the important biological questions is how the dynamics at the cell cycle scale, which is related to family dependencies between the cell and its descendants, affects cell population behavior in the long-run. We address this question using a "mechanistic" model, built based on observations of single cells over several cell generations, and then extrapolated in time. We used cell pedigree observations of NIH 3T3 cells including FUCCI markers, to determine patterns of inheritance of cell-cycle phase durations and single-cell protein dynamics. Based on that information we developed a hybrid mathematical model, involving bifurcating autoregression to describe stochasticity of partitioning and inheritance of cell-cycle-phase times, and an ordinary differential equation system to capture single-cell protein dynamics. Long-term simulations, concordant with in vitro experiments, demonstrated the model reproduced the main features of our data and had homeostatic properties. Moreover, heterogeneity of cell cycle may have important consequences during population development. We discovered an effect similar to genetic drift, amplified by family relationships among cells. In consequence, the progeny of a single cell with a short cell cycle time had a high probability of eventually dominating the population, due to the heritability of cell-cycle phases. Patterns of epigenetic heritability in proliferating cells are important for understanding long-term trends of cell populations which are either required to provide the influx of maturing cells (such as hematopoietic stem cells) or which started proliferating uncontrollably (such as cancer cells).
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