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A Computational Tensegrity Model Predicts Dynamic Rheological Behaviors in Living Cells

机译:计算张力模型预测活细胞中的动态流变行为

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Rheological properties of living cells play a key role in the control of cell shape, growth, movement, and contractility, yet little is known about how these properties are governed. Past approaches to understanding cell mechanics focused on the contributions of membranes, the viscous cytoplasm, and the individual filamentous biopolymers that are found within the cytoskeleton. In contrast, recent work has revealed that the dynamic mechanical behavior of cells depends on generic system properties, rather than on a single molecular property of the cell. In this paper, we show that a mathematical model of cell mechanics that depicts the intracellular cytoskeleton as a tensegrity structure composed of a prestressed network of interconnected microfilaments, microtubules, and intermediate filaments, and that has previously explained static cellular properties, also can predict fundamental dynamic behaviors of living cells.
机译:活细胞的流变特性在控制细胞形状,生长,运动和收缩性方面起着关键作用,但对如何控制这些特性知之甚少。过去了解细胞力学的方法侧重于膜,粘性细胞质以及在细胞骨架内发现的单个丝状生物聚合物的作用。相反,最近的工作表明,细胞的动态机械行为取决于通用的系统特性,而不是取决于细胞的单个分子特性。在本文中,我们表明细胞力学的数学模型将细胞内细胞骨架描述为由相互连接的微丝,微管和中间细丝的预应力网络组成的张力结构,并且先前已经解释了静态细胞特性,也可以预测基本的活细胞的动态行为。

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