Senthilkumar Irish, Howley Enda, McEvoy Eoin
School of Computer Science, College of Science and Engineering, National University of Ireland Galway, Ireland; Biomedical Engineering, College of Science and Engineering, National University of Ireland Galway, Ireland.
School of Computer Science, College of Science and Engineering, National University of Ireland Galway, Ireland.
Exp Cell Res. 2022 Oct 15;419(2):113317. doi: 10.1016/j.yexcr.2022.113317. Epub 2022 Aug 24.
Computational models can shape our understanding of cell and tissue remodelling, from cell spreading, to active force generation, adhesion, and growth. In this mini-review, we discuss recent progress in modelling of chemo-mechanical cell behaviour and the evolution of multicellular systems. In particular, we highlight recent advances in (i) free-energy based single cell models that can provide new fundamental insight into cell spreading, cancer cell invasion, stem cell differentiation, and remodelling in disease, and (ii) mechanical agent-based models to simulate large numbers of discrete interacting cells in proliferative tumours. We describe how new biological understanding has emerged from such theoretical models, and the trade-offs and constraints associated with current approaches. Ultimately, we aim to make a case for why theory should be integrated with an experimental workflow to optimise new in-vitro studies, to predict feedback between cells and their microenvironment, and to deepen understanding of active cell behaviour.
计算模型能够塑造我们对细胞和组织重塑的理解,范围涵盖从细胞铺展到主动力生成、黏附及生长等方面。在本微型综述中,我们讨论了化学 - 机械细胞行为建模以及多细胞系统演化方面的最新进展。特别地,我们强调了以下两方面的最新进展:(i)基于自由能的单细胞模型,其能够为细胞铺展、癌细胞侵袭、干细胞分化以及疾病中的重塑提供新的基本见解;(ii)基于机械作用的模型,用于模拟增殖性肿瘤中大量离散的相互作用细胞。我们描述了此类理论模型如何产生新的生物学理解,以及当前方法所涉及的权衡和限制。最终,我们旨在阐明为何理论应与实验工作流程相结合,以优化新的体外研究、预测细胞与其微环境之间的反馈,并加深对细胞主动行为的理解。