ArticlePloS one2020
Noise-driven cell differentiation and the emergence of spatiotemporal patterns.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Multiscale chromatin dynamics and high entropy in plant iPSC ancestors.Journal of cell science · 2024Article
- A computational model of stem cells' internal mechanism to recapitulate spatial patterning and maintain the self-organized pattern in the homeostasis state.Scientific reports · 2024Article
- A computational model of stem cells' decision-making mechanism to maintain tissue homeostasis and organization in the presence of stochasticity.Scientific reports · 2022Article
- Protein conformational dynamics and phenotypic switching.Biophysical reviews · 2021Review
- A stochastic model of homeostasis: The roles of noise and nuclear positioning in deciding cell fate.iScience · 2021Article
- A computational model of stem cell molecular mechanism to maintain tissue homeostasis.PloS one · 2020Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of phenotypic diversity in a population of cells and their arrangement in space and time is one of the most fascinating features of living systems. In fact, understanding multicellularity is unthinkable without explaining the proximate and the ultimate causes of cell differentiation in time and space. Simpler forms of cell differentiation can be found in unicellular organisms, such as bacterial biofilm, where reversible cell differentiation results in phenotypically diverse populations. In this manuscript, we attempt to start with the simple case of reversible nongenetic phenotypic to construct a model of differentiation and pattern formation. Our model, which we refer to as noise-driven differentiation (NDD) model, is an attempt to consider the prevalence of noise in biological systems, alongside what is known about genetic switches and signaling, to create a simple model which generates spatiotemporal patterns from bottom-up. Our simulations indicate that the presence of noise in cells can lead to reversible differentiation and the addition of signaling can create spatiotemporal pattern.
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Registered trials
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