Colombi A, Scianna M, Preziosi L
Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
J Math Biol. 2017 Mar;74(4):783-808. doi: 10.1007/s00285-016-1042-0. Epub 2016 Jul 16.
Biological systems are typically formed by different cell phenotypes, characterized by specific biophysical properties and behaviors. Moreover, cells are able to undergo differentiation or phenotypic transitions upon internal or external stimuli. In order to take these phenomena into account, we here propose a modelling framework in which cells can be described either as pointwise/concentrated particles or as distributed masses, according to their biological determinants. A set of suitable rules then defines a coherent procedure to switch between the two mathematical representations. The theoretical environment describing cell transition is then enriched by including cell migratory dynamics and duplication/apoptotic processes, as well as the kinetics of selected diffusing chemicals influencing the system evolution. Finally, biologically relevant numerical realizations are presented: in particular, they deal with the growth of a tumor spheroid and with the initial differentiation stages of the formation of the zebrafish posterior lateral line. Both phenomena mainly rely on cell phenotypic transition and differentiated behaviour, thereby constituting biological systems particularly suitable to assess the advantages of the proposed model.
生物系统通常由不同的细胞表型构成,这些表型具有特定的生物物理特性和行为。此外,细胞能够在内部或外部刺激下发生分化或表型转变。为了考虑这些现象,我们在此提出一个建模框架,根据细胞的生物学决定因素,细胞既可以被描述为点状/集中粒子,也可以被描述为分布质量。然后,一组合适的规则定义了在两种数学表示之间切换的连贯程序。通过纳入细胞迁移动力学和复制/凋亡过程,以及影响系统演化的选定扩散化学物质的动力学,描述细胞转变的理论环境得到了丰富。最后,给出了具有生物学相关性的数值实现:特别是,它们涉及肿瘤球体的生长以及斑马鱼后侧线形成的初始分化阶段。这两种现象主要依赖于细胞表型转变和分化行为,从而构成了特别适合评估所提出模型优势的生物系统。