ArticleScientific reports2019
Cell population heterogeneity driven by stochastic partition and growth optimality.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Monitoring Molecular Uptake and Cancer Cells' Response by Development of Quantitative Drug Derivative Probes for Chemical Imaging.Analytical chemistry · 2025Article
- Inference of metabolic fluxes in nutrient-limited continuous cultures: A Maximum Entropy approach with the minimum information.iScience · 2022Article
- The effect of natural selection on the propagation of protein expression noise to bacterial growth.PLoS computational biology · 2021Article
- Article
- Signaling pathways have an inherent need for noise to acquire information.BMC bioinformatics · 2020Article
- Drug Resistance in Non-Hodgkin Lymphomas.International journal of molecular sciences · 2020Review
- Maximum entropy and population heterogeneity in continuous cell cultures.PLoS computational biology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A fundamental question in biology is how cell populations evolve into different subtypes based on homogeneous processes at the single cell level. Here we show that population bimodality can emerge even when biological processes are homogenous at the cell level and the environment is kept constant. Our model is based on the stochastic partitioning of a cell component with an optimal copy number. We show that the existence of unimodal or bimodal distributions depends on the variance of partition errors and the growth rate tolerance around the optimal copy number. In particular, our theory provides a consistent explanation for the maintenance of aneuploid states in a population. The proposed model can also be relevant for other cell components such as mitochondria and plasmids, whose abundances affect the growth rate and are subject to stochastic partition at cell division.
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Registered trials
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