Computational approaches to substrate-based cell motility
Computational approaches to substrate-based cell motility
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DOI：
10.1038/npjcompumats.2016.19
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发表时间：
2016-07
期刊：
影响因子：
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通讯作者：
F. Ziebert;I. Aranson
中科院分区：
文献类型：
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作者：
F. Ziebert;I. Aranson
真核细胞基于底物的爬行运动对于发育和成熟生物体中的许多生物功能都是必不可少的。运动功能障碍涉及几种危及生命的病理，如癌症和转移。运动细胞也是一种自然实现的积极的，自我推进的“粒子”，在非平衡物理学的热门研究课题。最后，从材料的角度来看，运动细胞和进化组织的组装构成了一类自适应自我修复材料，它们对环境的地形，弹性和表面化学反应并对外部刺激做出反应。虽然对基于底物的细胞运动性的全面理解仍然难以捉摸，但最近在全细胞水平上的建模方面取得了进展。在这里，我们调查细胞运动的计算方法的最新进展，并展示这些模型如何提高我们对复杂的自组织系统，如活细胞的理解。
Substrate-based crawling motility of eukaryotic cells is essential for many biological functions, both in developing and mature organisms. Motility dysfunctions are involved in several life-threatening pathologies such as cancer and metastasis. Motile cells are also a natural realisation of active, self-propelled ‘particles’, a popular research topic in nonequilibrium physics. Finally, from the materials perspective, assemblies of motile cells and evolving tissues constitute a class of adaptive self-healing materials that respond to the topography, elasticity and surface chemistry of the environment and react to external stimuli. Although a comprehensive understanding of substrate-based cell motility remains elusive, progress has been achieved recently in its modelling on the whole-cell level. Here we survey the most recent advances in computational approaches to cell movement and demonstrate how these models improve our understanding of complex self-organised systems such as living cells.