使用有限元模型从集料压缩试验中确定的细胞界面和表面张力。

Hfsp Journal Pub Date : 2009-08-01 Epub Date: 2009-08-06 DOI:10.2976/1.3175812
G Wayne Brodland, Justina Yang, Jen Sweny
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引用次数: 31

摘要

虽然先前的研究表明,可以通过在平行板之间压缩细胞的球形聚集体来测量沿细胞-细胞边界作用的界面张力γ (cc)和细胞质的有效粘度mu,但从这些测试中提取这些信息所必需的机械理解-提供沿细胞-介质界面作用的表面张力sigma(cm)的测试-一直缺乏。这些张力可以在亚细胞水平上产生净力,并引起细胞运动和组织重组,其速率由mu调节。在这里,基于三维(3D)细胞的有限元模型提供了对压缩测试力学的洞察,其中这些相同的力在起作用,并导致定量关系,从细胞质的有效粘度mu,沿内部细胞-细胞界面作用的张力γ (cc)和沿细胞-板边界的表面张力sigma(cp)可以从力-时间曲线和聚集剖面确定。对5天胚鸡中脑、神经视网膜、肝脏和心脏聚集体的试验表明,除了γ (cc)显著不变外,所有这些特性都随细胞类型的不同而显著不同。这些特性对于理解胚胎发生、癌症转移和组织工程等环境中的细胞重排和组织自组织至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cellular interfacial and surface tensions determined from aggregate compression tests using a finite element model.

Although previous studies suggested that the interfacial tension gamma(cc) acting along cell-cell boundaries and the effective viscosity mu of the cell cytoplasm could be measured by compressing a spherical aggregate of cells between parallel plates, the mechanical understanding necessary to extract this information from these tests-tests that have provided the surface tension sigma(cm) acting along cell-medium interfaces-has been lacking. These tensions can produce net forces at the subcellular level and give rise to cell motions and tissue reorganization, the rates of which are regulated by mu. Here, a three-dimensional (3D) cell-based finite element model provides insight into the mechanics of the compression test, where these same forces are at work, and leads to quantitative relationships from which the effective viscosity mu of the cell cytoplasm, the tension gamma(cc) that acts along internal cell-cell interfaces and the surface tension sigma(cp) along the cell-platen boundaries can be determined from force-time curves and aggregate profiles. Tests on 5-day embryonic chick mesencephalon, neural retina, liver, and heart aggregates show that all of these properties vary significantly with cell type, except gamma(cc), which is remarkably constant. These properties are crucial for understanding cell rearrangement and tissue self-organization in contexts that include embryogenesis, cancer metastases, and tissue engineering.

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Hfsp Journal
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