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 ...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.展开更多
基金the German Science Foundation(DFG)via project ZI 1232/2-1supported by the US Department of Energy(DOE),Office of Science,Basic Energy Sciences(BES),Materials Science and Engineering Division。
文摘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.
