2008
DOI: 10.1007/s10955-008-9600-5
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Protrusion of a Virtual Model Lamellipodium by Actin Polymerization: A Coarse-Grained Langevin Dynamics Model

Abstract: We report the development of a coarse-grained Langevin dynamics model of a lamellipodium featuring growing F-actin filaments in order to study the effect of stiffness of the F-actin filament, the G-actin monomer concentration, and the number of polymerization sites on lamellipodium protrusion. The virtual lamellipodium is modeled as a low-aspect-ratio doubly capped cylinder formed by triangulated particles on its surface. It is assumed that F-actin filaments are firmly attached to a lamellipodium surface where… Show more

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Cited by 8 publications
(9 citation statements)
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“…It is believed to be the motor which push the cortical cytoskeleton forward during the process of cell migration. Normally, cells experience a small protrusive pressure that results from osmotic pressure or actin branches stimulated by activated arp2/3 [70]. Recently, time-averaged high protrusive force measured per pillar was 800 pN for NIH 3T3 fibroblasts and diseased cells [71].…”
Section: Modelmentioning
confidence: 99%
“…It is believed to be the motor which push the cortical cytoskeleton forward during the process of cell migration. Normally, cells experience a small protrusive pressure that results from osmotic pressure or actin branches stimulated by activated arp2/3 [70]. Recently, time-averaged high protrusive force measured per pillar was 800 pN for NIH 3T3 fibroblasts and diseased cells [71].…”
Section: Modelmentioning
confidence: 99%
“…1a) that rearrange upon polymerization into F-actin. F-actin is the functional form of the protein (Pollard et al, 2000) and it is involved in many cellular processes, as muscle contraction, cell motility, cell division, vesicle and organelle movement, cell signaling, maintenance of cell junctions and cell shape (Gittes et al, 1993;Gov et al, 2006;Howard, 2001;Isambert et al, 1995;Jeon et al, 2008;Kojima et al, 1994;McCullough et al, 2008;Otterbein et al, 2001;Stricker et al, 2010;Tsuda et al, 1996;Yang et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…In these simulations, agents behave autonomously and through simple rules prescribed at each time step. The technique is stochastic and can be interpreted as a coarsening of Brownian and Langevin dynamical models [34]. However, agent-based approaches are computationally expensive: at every time step, they specifically account for the movement and interaction of individual molecules, while also assessing the effects of spatial and environmental properties that ultimately result in the emergence of certain large-scale phenomena, such as crowding.…”
Section: Introductionmentioning
confidence: 99%