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整合素介导热信号和黏附动力学的随机模型在迁移细胞的前缘。

Stochastic model of integrin-mediated signaling and adhesion dynamics at the leading edges of migrating cells.

机构信息

Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.

出版信息

PLoS Comput Biol. 2010 Feb 26;6(2):e1000688. doi: 10.1371/journal.pcbi.1000688.

Abstract

Productive cell migration requires the spatiotemporal coordination of cell adhesion, membrane protrusion, and actomyosin-mediated contraction. Integrins, engaged by the extracellular matrix (ECM), nucleate the formation of adhesive contacts at the cell's leading edge(s), and maturation of nascent adhesions to form stable focal adhesions constitutes a functional switch between protrusive and contractile activities. To shed additional light on the coupling between integrin-mediated adhesion and membrane protrusion, we have formulated a quantitative model of leading edge dynamics combining mechanistic and phenomenological elements and studied its features through classical bifurcation analysis and stochastic simulation. The model describes in mathematical terms the feedback loops driving, on the one hand, Rac-mediated membrane protrusion and rapid turnover of nascent adhesions, and on the other, myosin-dependent maturation of adhesions that inhibit protrusion at high ECM density. Our results show that the qualitative behavior of the model is most sensitive to parameters characterizing the influence of stable adhesions and myosin. The major predictions of the model, which we subsequently confirmed, are that persistent leading edge protrusion is optimal at an intermediate ECM density, whereas depletion of myosin IIA relieves the repression of protrusion at higher ECM density.

摘要

细胞的有效迁移需要细胞黏附、细胞膜突出、肌动球蛋白介导的收缩在时空上的协调。整合素与细胞外基质(ECM)结合,在细胞前缘形成黏附接触,新生黏附的成熟形成稳定的黏着斑,这是突起和收缩活动之间的功能转换。为了进一步阐明整合素介导的黏附和细胞膜突出之间的偶联,我们制定了一个包含力学和现象学元素的前缘动力学定量模型,并通过经典分岔分析和随机模拟研究了其特征。该模型以数学方式描述了一方面驱动 Rac 介导的细胞膜突出和新生黏附的快速周转,另一方面肌球蛋白依赖性黏附成熟抑制高 ECM 密度下突起的反馈回路。我们的结果表明,模型的定性行为对稳定黏附和肌球蛋白影响的参数最为敏感。该模型的主要预测,我们随后进行了验证,即持续的前缘突起在中等 ECM 密度下是最优的,而肌球蛋白 IIA 的耗竭可缓解高 ECM 密度下对突起的抑制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e87/2829041/0d63aaece404/pcbi.1000688.g001.jpg

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