ArticleJournal of the Royal Society, Interface2013
Age-dependent stochastic models for understanding population fluctuations in continuously cultured cells.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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Who cites it
30 citing papers in PubMed, 64 citations in OpenAlex.
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- Coupling Bacterial Cell Size Regulation with Clonal Proliferation Dynamics Reveals Cell Division Based on Surface Area.bioRxiv : the preprint server for biology · 2025Article
- Cyclo-stationary distributions of mRNA and Protein counts for random cell division times.bioRxiv : the preprint server for biology · 2025Article
- Characterising the Behaviour of a Structured PDE Model of the Cell Cycle in Contrast to a Corresponding ODE System.Bulletin of mathematical biology · 2025Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- First-passage-time statistics of growing microbial populations carry an imprint of initial conditions.Scientific reports · 2023Article
- Theoretical guarantees for phylogeny inference from single-cell lineage tracing.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Bacterial age distribution in soil - Generational gaps in adjacent hot and cold spots.PLoS computational biology · 2022Article
- The correlation between cell and nucleus size is explained by an eukaryotic cell growth model.PLoS computational biology · 2022Article
- Data-Driven Modeling of the Cellular Pharmacokinetics of Degradable Chitosan-Based Nanoparticles.Nanomaterials (Basel, Switzerland) · 2021Article
- Organ-wide and ploidy-dependent regulation both contribute to cell-size determination: evidence from a computational model of tomato fruit.Journal of experimental botany · 2019Article
- YAP and TAZ regulate cell volume.The Journal of cell biology · 2019Article
- Modeling cell proliferation in human acute myeloid leukemia xenografts.Bioinformatics (Oxford, England) · 2019Article
- Article
- A critical analysis of Powell's results on the interdivision time distribution.Scientific reports · 2019Article
- Growing from a few cells: combined effects of initial stochasticity and cell-to-cell variability.Journal of the Royal Society, Interface · 2019Article
- Theoretical investigation of stochastic clearance of bacteria: first-passage analysis.Journal of the Royal Society, Interface · 2019Article
- Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages.Nature communications · 2018Article
- Cell tension and mechanical regulation of cell volume.Molecular biology of the cell · 2018Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
For symmetrically dividing cells, large variations in the cell cycle time are typical, even among clonal cells. The consequence of this variation is important in stem cell differentiation, tissue and organ size control, and cancer development, where cell division rates ultimately determine the cell population. We explore the connection between cell cycle time variation and population-level fluctuations using simple stochastic models. We find that standard population models with constant division and death rates fail to predict the level of population fluctuation. Instead, variations in the cell division time contribute to population fluctuations. An age-dependent birth and death model allows us to compute the mean squared fluctuation or the population dispersion as a function of time. This dispersion grows exponentially with time, but scales with the population. We also find a relationship between the dispersion and the cell cycle time distribution for synchronized cell populations. The model can easily be generalized to study populations involving cell differentiation and competitive growth situations.
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Registered trials
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.