Tensegrity structures and data-driven analysis for 3D cell mechanics

IF 7.3 1区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-10-02 DOI:10.1016/j.cma.2025.118406

Ziran Zhou , Jacinto Ulloa , Guruswami Ravichandran , José E. Andrade

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引用次数: 0

Abstract

The cytoskeleton (CSK) plays an important role in many cell functions. Given the similarities between the mechanical behavior of tensegrity structures and the CSK, many studies have proposed different tensegrity-based models for simulating cell mechanics. However, the low symmetry of most tensegrity units has hindered the analysis of realistic 3D structures. As a result, tensegrity-based modeling in cell mechanics has been mainly focused on single cells or monolayers. In this paper, we propose a 3D tensegrity model based on the finite element method for simulating 3D cell mechanics. We show that the proposed model not only captures the nonlinearity of a single cell in an indentation test and a monolayer in stretch test but also the non-uniform stress distribution in multicellular spheroids upon non-uniform prestress design. Furthermore, we introduce a multiscale data-driven framework for cellular mechanics to optimize the computation, thus paving the way for modeling the mechanobiology of large cellular assemblies such as organs.

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三维单元力学的张拉整体结构和数据驱动分析

细胞骨架（CSK）在许多细胞功能中起着重要作用。考虑到张拉整体结构和CSK的力学行为之间的相似性，许多研究提出了不同的基于张拉整体结构的模型来模拟细胞力学。然而，大多数张拉整体单元的低对称性阻碍了对真实三维结构的分析。因此，基于张拉整体模型的细胞力学主要集中在单个细胞或单层细胞上。本文提出了一种基于有限元法的三维张拉整体模型，用于模拟三维细胞力学。结果表明，该模型不仅能捕捉到压痕试验中单个细胞和拉伸试验中单层细胞的非线性，而且能捕捉到非均匀预应力设计时多细胞球体的非均匀应力分布。此外，我们引入了一个多尺度数据驱动的细胞力学框架来优化计算，从而为大型细胞组件（如器官）的力学生物学建模铺平了道路。

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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来源期刊

Computer Methods in Applied Mechanics and Engineering 工程技术-工程：综合

CiteScore

12.70

自引率

15.30%

发文量

719

审稿时长

44 days

期刊介绍： Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.