Erlich Alexander, Jones Gareth W, Tisseur Françoise, Moulton Derek E, Goriely Alain
Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes, CNRS, Grenoble 38000, France.
School of Mathematics, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Proc Math Phys Eng Sci. 2020 Jan;476(2233):20190523. doi: 10.1098/rspa.2019.0523. Epub 2020 Jan 29.
In biological systems, the growth of cells, tissues and organs is influenced by mechanical cues. Locally, cell growth leads to a mechanically heterogeneous environment as cells pull and push their neighbours in a cell network. Despite this local heterogeneity, at the tissue level, the cell network is remarkably robust, as it is not easily perturbed by changes in the mechanical environment or the network connectivity. Through a network model, we relate global tissue structure (i.e. the cell network topology) and local growth mechanisms (growth laws) to the overall tissue response. Within this framework, we investigate the two main mechanical growth laws that have been proposed: stress-driven or strain-driven growth. We show that in order to create a robust and stable tissue environment, networks with predominantly series connections are naturally driven by stress-driven growth, whereas networks with predominantly parallel connections are associated with strain-driven growth.
在生物系统中,细胞、组织和器官的生长受机械信号的影响。在局部,细胞生长会导致机械环境的异质性,因为细胞在细胞网络中推拉其相邻细胞。尽管存在这种局部异质性,但在组织层面,细胞网络却非常稳健,因为它不易受到机械环境变化或网络连通性变化的干扰。通过一个网络模型,我们将整体组织结构(即细胞网络拓扑结构)和局部生长机制(生长规律)与组织的整体反应联系起来。在此框架内,我们研究了已提出的两种主要机械生长规律:应力驱动生长或应变驱动生长。我们表明,为了创建一个稳健且稳定的组织环境,主要由串联连接组成的网络自然地由应力驱动生长所驱动,而主要由并联连接组成的网络则与应变驱动生长相关。