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Emergence of biphasic versus monotonic response of actin retrograde flow and cell traction force with varying substrate rigidity

牵引力 焦点粘着 牵引(地质) 细胞外基质 刚度(电磁) 生物物理学 刚度 材料科学 肌动蛋白 肌动蛋白细胞骨架 机械 细胞骨架 化学 细胞 物理 生物 复合材料 热力学 古生物学 生物化学
作者
Partho Sakha De,Rumi De
出处
期刊:Physical review [American Physical Society]
卷期号:110 (5): 054414-054414 被引量:1
标识
DOI:10.1103/physreve.110.054414
摘要

The transmission of cytoskeletal forces to the extracellular matrix through focal adhesion complexes is essential for a multitude of biological processes, such as cell migration, cell differentiation, tissue development, and cancer progression, among others. During migration, focal adhesions arrest the actin retrograde flow towards the cell interior, allowing the cell front to move forward. Here, we address a puzzling observation of the existence of two distinct phenomena: a biphasic vs a monotonic relationship of the retrograde flow and cell traction force with substrate rigidity. In the former, maximum traction force and minimum retrograde flow velocity are observed at an intermediate optimal substrate stiffness; while in the latter, the actin retrograde flow decreases and traction force increases with increasing substrate stiffness. We propose a theoretical model for cell-matrix adhesions at the leading edge of a migrating cell, incorporating a novel approach in force loading rate sensitive binding and reinforcement of focal adhesions assembly and the subsequent force-induced slowing down of actin flow. Our model exhibits both biphasic and monotonic responses of the retrograde flow and cell traction force with increasing substrate rigidity, owing to the cell's ability to sense and adapt to the fast-growing forces. Furthermore, our analysis shows how competition between different timescales regulated by loading rate sensitivity influences the biphasic versus monotonic behavior and the emergence of optimal substrate rigidity in the biphasic scenario. We also elucidate how the viscoelastic properties of the substrate regulate these nonlinear responses and predict the loss of cell sensitivity to variation in substrate rigidity when adhesions are subjected to high forces.
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