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首页> 外文期刊>Cellular and Molecular Bioengineering >Mathematical Modeling of the Dynamic Mechanical Behavior of Neighboring Sarcomeres in Actin Stress Fibers
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Mathematical Modeling of the Dynamic Mechanical Behavior of Neighboring Sarcomeres in Actin Stress Fibers

机译:肌动蛋白应力纤维中邻近肉瘤动态力学行为的数学建模

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Actin stress fibers (SFs) in live cells consist of series of dynamic individual sarcomeric units. Within a group of consecutive SF sarcomeres, individual sarcomeres can spontaneously shorten or lengthen without changing the overall length of this group, but the underlying mechanism is unclear. We used a computational model to test our hypothesis that this dynamic behavior is inherent to the heterogeneous mechanical properties of the sarcomeres and the cytoplasmic viscosity. Each sarcomere was modeled as a discrete element consisting of an elastic spring, a viscous dashpot and an active contractile unit all connected in parallel, and experiences forces as a result of actin filament elastic stiffness, myosin II contractility, internal viscoelasticity, or cytoplasmic drag. When all four types of forces are considered, the simulated dynamic behavior closely resembles the experimental observations, which include a low-frequency fluctuation in individual sarcomere length and compensatory lengthening and shortening of adjacent sarcomeres. Our results suggest that heterogeneous stiffness and viscoelasticity of actin fibers, heterogeneous myosin II contractility, and the cytoplasmic drag are sufficient to cause spontaneous fluctuations in SF sarcomere length. Our results shed new light to the dynamic behavior of SF and help design experiments to further our understanding of SF dynamics.
机译:活细胞中的肌动蛋白应激纤维(SFs)由一系列动态的单个肌节单元组成。在一组连续的SF肉瘤中,单个肉瘤可以自发地缩短或延长而不改变该组的总长度,但是其潜在机制尚不清楚。我们使用一个计算模型来检验我们的假设,即这种动态行为是肉瘤的异质力学特性和细胞质粘度固有的。每个肌节均被建模为由弹性弹簧,粘性阻尼器和主动收缩单元组成的离散元素,这些单元均并联连接,并受到肌动蛋白丝弹性刚度,肌球蛋白II收缩力,内部粘弹性或细胞质阻力的作用力。当考虑所有四种类型的力时,模拟的动态行为与实验观察结果非常相似,其中包括单个肉瘤长度的低频波动以及相邻肉瘤的补偿性延长和缩短。我们的结果表明,肌动蛋白纤维的异质刚度和粘弹性,异质肌球蛋白II的收缩性和胞质阻力足以引起SF肌节长度的自发性波动。我们的结果为SF的动态行为提供了新的亮点,并有助于设计实验以进一步了解SF动力学。

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