Lei Jinzhi
Zhou Pei-Yuan Center for Applied Mathematics, MOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
J Theor Biol. 2020 May 7;492:110196. doi: 10.1016/j.jtbi.2020.110196. Epub 2020 Feb 14.
Stem cell heterogeneity is essential for homeostasis in tissue development. This paper establishes a general mathematical framework to model the dynamics of stem cell regeneration with cell heterogeneity and random transitions of epigenetic states. The framework generalizes the classical G0 cell cycle model and incorporates the epigenetic states of individual cells represented by a continuous multidimensional variable. In the model, the kinetic rates of cell behaviors, including proliferation, differentiation, and apoptosis, are dependent on their epigenetic states, and the random transitions of epigenetic states between cell cycles are represented by an inheritance probability function that describes the conditional probability of cell state changes. Moreover, the model can be extended to include genotypic changes and describe the process of gene mutation-induced tumor development. The proposed mathematical framework provides a generalized formula that helps us to understand various dynamic processes of stem cell regeneration, including tissue development, degeneration, and abnormal growth.
干细胞异质性对于组织发育中的稳态至关重要。本文建立了一个通用的数学框架,以对具有细胞异质性和表观遗传状态随机转变的干细胞再生动力学进行建模。该框架推广了经典的G0细胞周期模型,并纳入了由连续多维变量表示的单个细胞的表观遗传状态。在该模型中,细胞行为(包括增殖、分化和凋亡)的动力学速率取决于其表观遗传状态,细胞周期之间表观遗传状态的随机转变由一个遗传概率函数表示,该函数描述了细胞状态变化的条件概率。此外,该模型可以扩展到包括基因型变化,并描述基因突变诱导的肿瘤发展过程。所提出的数学框架提供了一个通用公式,有助于我们理解干细胞再生的各种动态过程,包括组织发育、退化和异常生长。