流体中活性表面自组织形状动力学的计算模型

Lucas D. Wittwer , Sebastian Aland
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引用次数: 5

摘要

细胞皮层或上皮片等表面的机械化学过程在决定生物系统的模式和形状变化方面发挥着关键作用。要理解流体动力学和物质流在这种活性表面上的复杂相互作用,需要新的数值工具。在这里,我们提出了一种用于与周围流体相互作用的主动可变形表面的有限元方法。基础模型将表面和整体流体动力学与可扩散物质的表面流动相耦合,可产生主动收缩力。该方法与先前基于线性稳定性分析的结果进行了验证,并且在预测的图案化方面显示出几乎完美的一致性。在线性状态之外,我们发现了丰富的非线性行为,例如存在多个稳态。我们研究了表面上可收缩环的形成以及相应的形状变化。最后,我们探索了各种表面几何形状上的机械化学图案形成,发现图案强烈适应局部表面曲率。所开发的方法为分析各种系统提供了基础,这些系统涉及在与周围流体相互作用的活性表面上形成机械化学图案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A computational model of self-organized shape dynamics of active surfaces in fluids

A computational model of self-organized shape dynamics of active surfaces in fluids

Mechanochemical processes on surfaces such as the cellular cortex or epithelial sheets, play a key role in determining patterns and shape changes of biological systems. To understand the complex interplay of hydrodynamics and material flows on such active surfaces requires novel numerical tools. Here, we present a finite-element method for an active deformable surface interacting with the surrounding fluids. The underlying model couples surface and bulk hydrodynamics to surface flow of a diffusible species which generates active contractile forces. The method is validated with previous results based on linear stability analysis and shows almost perfect agreement regarding predicted patterning. Away from the linear regime we find rich non-linear behavior, such as the presence of multiple stationary states. We study the formation of a contractile ring on the surface and the corresponding shape changes. Finally, we explore mechanochemical pattern formation on various surface geometries and find that patterning strongly adapts to local surface curvature. The developed method provides a basis to analyze a variety of systems that involve mechanochemical pattern formation on active surfaces interacting with surrounding fluids.

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来源期刊
Journal of Computational Physics: X
Journal of Computational Physics: X Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
6.10
自引率
0.00%
发文量
7
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