Department of Physics, Lehigh University, Bethlehem, Pennsylvania 18015, USA.
Cytoskeleton (Hoboken). 2012 Apr;69(4):195-206. doi: 10.1002/cm.21017. Epub 2012 Mar 12.
A characteristic feature of motile cells as they undergo a change in motile behavior is the development of fluctuating exploratory motions of the leading edge, driven by actin polymerization. We review quantitative models of these protrusion and retraction phenomena. Theoretical studies have been motivated by advances in experimental and computational methods that allow controlled perturbations, single molecule imaging, and analysis of spatiotemporal correlations in microscopic images. To explain oscillations and waves of the leading edge, most theoretical models propose nonlinear interactions and feedback mechanisms among different components of the actin cytoskeleton system. These mechanisms include curvature-sensing membrane proteins, myosin contraction, and autocatalytic biochemical reaction kinetics. We discuss how the combination of experimental studies with modeling promises to quantify the relative importance of these biochemical and biophysical processes at the leading edge and to evaluate their generality across cell types and extracellular environments.
运动细胞在改变运动行为时的一个特征是,其前缘会出现波动的探索运动,这是由肌动蛋白聚合驱动的。我们回顾了这些突起和缩回现象的定量模型。理论研究的动力来自于实验和计算方法的进步,这些方法允许进行受控的扰动、单分子成像,并对微观图像中的时空相关性进行分析。为了解释前缘的振荡和波动,大多数理论模型都提出了肌动球蛋白细胞骨架系统不同成分之间的非线性相互作用和反馈机制。这些机制包括曲率感应膜蛋白、肌球蛋白收缩和自动催化生化反应动力学。我们讨论了将实验研究与建模相结合如何有望量化这些生化和生物物理过程在前缘的相对重要性,并评估它们在不同细胞类型和细胞外环境中的通用性。