Mesoscopic dynamic Monte Carlo simulations of fluctuating fluid membrane shaping in biological processes: a review

IF 5.4 1区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY GIANT Pub Date : 2024-04-09 DOI:10.1016/j.giant.2024.100263
Long Li, Xu Huang, Jizeng Wang
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Abstract

Plasma membranes not only serve as physical barriers to separate the cell or organelle from extracellular or intracellular environments, but also play important roles in many cellular processes, e.g., cell adhesion, cell migration, endocytosis as well as membrane budding, whose correct executions rely on locally highly curved membrane shaping. Mechanically, these membranes are soft fluid interfaces exhibiting extremely dynamic remodeling processes in response to mechanobiological stimulus from their surrounding complex intra/extra-membranous circumstances containing thermal fluctuations, protein binding, protein-protein interaction on the membrane surface forming protein superstructures and active cytoskeletal networks. Correlating these dynamic membrane shaping involving characteristic membrane mechanical properties with cellular functions is essential to improving fundamental understandings in cell physiology and cell biomechanics. The challenge here is to explicitly describe the dynamics of membrane remodeling under the complex biological situations. Interestingly, the developed mesoscopic Monte Carlo (MC) method has the capacity to concurrently capture the elasticity and fluidity of fluid membranes well on large time and length scales, as well as to successfully reproduce fluctuating membrane morphology as observed in experiments. In this review, we focus on this mesoscopic MC method used to depict the thermodynamics of fluctuating fluid membranes and further explore how diverse biophysical factors drive large membrane curvature generation. We also discuss the current efforts of the roles of membrane morphology on the regulation of biological processes on the basis of this mesoscopic MC method, provide the insights into the known biomechanical mechanisms of effect of membrane shape on cellular functions, and point out the potential opportunities where this mesoscopic dynamic MC method can be modified to investigate more intricate biological processes, such as membrane fusion and adhesion.

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生物过程中波动流体膜塑形的介观动态蒙特卡罗模拟:综述
质膜不仅是将细胞或细胞器与细胞外或细胞内环境隔开的物理屏障,而且在许多细胞过程(如细胞粘附、细胞迁移、内吞以及膜出芽)中发挥着重要作用。从力学角度看,这些膜是柔软的流体界面,在周围复杂的膜内/膜外环境(包括热波动、蛋白质结合、膜表面形成蛋白质超结构的蛋白质-蛋白质相互作用以及活跃的细胞骨架网络)的机械生物学刺激下,表现出极其动态的重塑过程。将这些涉及膜机械特性的动态膜塑形与细胞功能相关联,对于提高细胞生理学和细胞生物力学的基本认识至关重要。这里的挑战在于如何明确描述复杂生物情况下的膜重塑动态。有趣的是,所开发的介观蒙特卡洛(MC)方法有能力在大时间和长度尺度上同时很好地捕捉流体膜的弹性和流动性,并成功地再现实验中观察到的波动膜形态。在这篇综述中,我们将重点介绍这种用于描述波动流体膜热力学的介观 MC 方法,并进一步探讨各种生物物理因素如何驱动大膜曲率的产生。我们还讨论了目前在这种介观 MC 方法基础上研究膜形态对生物过程调控作用的工作,深入探讨了膜形状对细胞功能影响的已知生物力学机制,并指出了这种介观动态 MC 方法可用于研究更复杂的生物过程(如膜融合和粘附)的潜在机会。
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来源期刊
GIANT
GIANT Multiple-
CiteScore
8.50
自引率
8.60%
发文量
46
审稿时长
42 days
期刊介绍: Giant is an interdisciplinary title focusing on fundamental and applied macromolecular science spanning all chemistry, physics, biology, and materials aspects of the field in the broadest sense. Key areas covered include macromolecular chemistry, supramolecular assembly, multiscale and multifunctional materials, organic-inorganic hybrid materials, biophysics, biomimetics and surface science. Core topics range from developments in synthesis, characterisation and assembly towards creating uniformly sized precision macromolecules with tailored properties, to the design and assembly of nanostructured materials in multiple dimensions, and further to the study of smart or living designer materials with tuneable multiscale properties.
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