Probabilistic Voxel-Fe model for single cell motility in 3D.

In silico cell and tissue science Pub Date : 2014-10-01 DOI:10.1186/2196-050X-1-2

Carlos Borau, William J Polacheck, Roger D Kamm, José Manuel García-Aznar

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引用次数: 32

Abstract

Background: Cells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, permitting researches to run complex scenarios saving time and resources. Usually these models focus on specific features of cell migration, making them only suitable to study restricted phenomena.

Methods: Here we present a versatile finite element (FE) cell-scale 3D migration model based on probabilities depending in turn on ECM mechanical properties, chemical, fluid and boundary conditions.

Results: With this approach we are able to capture important outcomes of cell migration such as: velocities, trajectories, cell shape and aspect ratio, cell stress or ECM displacements.

Conclusions: The modular form of the model will allow us to constantly update and redefine it as advancements are made in clarifying how cellular events take place.

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三维单细胞运动的概率体素- fe模型。

背景:细胞对环境条件下的各种外部刺激作出反应。机械、化学和生物因素引起人们极大的兴趣，并得到了深入的研究。此外，数学和计算模型在过去几年中迅速发展，使研究能够运行复杂的场景，从而节省了时间和资源。通常这些模型关注的是细胞迁移的特定特征，这使得它们只适合研究有限的现象。方法:在这里，我们提出了一个基于概率的多功能有限元(FE)细胞尺度三维迁移模型，该模型依次取决于ECM的力学性能、化学、流体和边界条件。结果:通过这种方法，我们能够捕获细胞迁移的重要结果，如:速度、轨迹、细胞形状和纵横比、细胞应力或ECM位移。结论:模型的模块化形式将使我们能够不断更新和重新定义它，因为在澄清细胞事件如何发生方面取得了进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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In silico cell and tissue science

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