Department of Microbial Sciences, University of Surrey, Guildford GU2 7XH, UK.
Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
J R Soc Interface. 2021 Oct;18(183):20210442. doi: 10.1098/rsif.2021.0442. Epub 2021 Oct 6.
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.
理解细胞命运选择仍然是发育生物学中的一个核心挑战。我们提出了一类简单而具有生物学意义的数学模型,用于细胞分化,这些模型普遍产生振荡,因此为基于 Waddington 的表观遗传景观的标准框架提供了替代方案。这些模型使我们能够提出两种通用的动力学情景来描述分化过程。在第一种情景中,单个控制参数的逐渐变化负责进入和退出振荡状态。在第二种情景中,两个控制参数发生变化:一个负责进入,另一个负责退出振荡状态。我们分析了标准的阻遏物及其四个变体,并展示了与每个情景相关的动态行为。我们对相关分岔进行了彻底的分析,并认为具有类似阻遏物特征的基因调控网络是通过振荡过程描述细胞命运选择的有前途的候选者。