Novel Generic Models for Differentiating Stem Cells Reveal Oscillatory Mechanisms
| Autor: | Jonathan H.P. Dawes, Saeed Farjami, Karen Camargo Sosa, Robert N. Kelsh, Andrea Rocco |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Cellular differentiation Gene regulatory network gene regulatory network Dynamical Systems (math.DS) Biochemistry Epigenesis Genetic 0302 clinical medicine Gene Regulatory Networks Mathematics - Dynamical Systems Research Articles 0303 health sciences Stem cell Mathematical model Stem Cells Quantitative Biology::Molecular Networks Applied Mathematics Cell Differentiation differentiation oscillation Biological system Biotechnology Repressilator Process (engineering) Biomedical Engineering Biophysics Bioengineering Biology Cell fate determination Biomaterials 03 medical and health sciences Modelling and Simulation FOS: Mathematics Oscillation (cell signaling) Selection (genetic algorithm) 030304 developmental biology Models Genetic Models Theoretical multipotency stem cell gene expression Life Sciences–Mathematics interface Neuroscience Developmental biology 030217 neurology & neurosurgery Developmental Biology |
| Zdroj: | Farjami, S, Camargo Sosa, K, Dawes, J H P, Kelsh, R N & Rocco, A 2021, ' Novel Generic Models for Differentiating Stem Cells Reveal Oscillatory Mechanisms ', Journal of the Royal Society, Interface, vol. 18, no. 183, 20210442 . https://doi.org/10.1098/rsif.2021.0442 Journal of the Royal Society Interface |
| Popis: | Understanding cell fate selection remains a central challenge in developmental biology. We present a class of simple yet biologically-motivated mathematical models for cell differentiation that generically generate oscillations and hence suggest alternatives to the standard framework based on Waddington’s epigenetic landscape. The models allow us to suggest two generic dynamical scenarios that describe the differentiation process. In the first scenario gradual variation of a single control parameter is responsible for both entering and exiting the oscillatory regime. In the second scenario two control parameters vary: one responsible for entering, and the other for exiting the oscillatory regime. We analyse the standard repressilator and four variants of it and show the dynamical behaviours associated with each scenario. We present a thorough analysis of the associated bifurcations and argue that gene regulatory networks with these repressilator-like characteristics are promising candidates to describe cell fate selection through an oscillatory process. |
| Databáze: | OpenAIRE |
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