The mechanism of dynamic steady states in lamellipodia.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2025-10-07 eCollection Date: 2025-10-01 DOI:10.1371/journal.pcbi.1013572
June Hyung Kim, Taeyoon Kim
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引用次数: 0

Abstract

Lamellipodia are quasi-two-dimensional actin projections formed on the leading edge of the cell, playing an important role in sensing surrounding mechanical environments by forming focal adhesions. A branched actin network in the lamellipodia exhibits a stable, yet dynamic steady state characterized by a retrograde flow, which is attributed to a balance between network assembly at the leading edge and disassembly at the rear. Although the molecular players and architecture of the lamellipodia have been investigated extensively during recent decades, it still remains elusive how the dynamic steady state with continuous retrograde flow is achieved and robustly maintained. Using an agent-based computational model, we probed how physical interactions between subcellular components in the lamellipodia mediate and sustain the dynamic steady state. We simulated the branched network found in the lamellipodia, consisting of F-actin, myosin motor, Arp2/3 complex, and actin cross-linking protein, on an elastic substrate. We reproduced a steady retrograde flow induced by myosin activity and balanced by the interplay between network assembly and disassembly, but hindered by resistances from adhesions formed on the underlying substrate. We found that F-actin severing is crucial for maintaining a continuous, uniform retrograde flow because it enhances the disassembly of actin bundle/arc formed due to network contraction at the rear. In addition, we demonstrated that different modes of dynamic steady states are possible, and that a network which failed to show the retrograde flow due to perturbations can be rescued by altering other factors. Our study provides insights into understanding how cells maintain the dynamic steady state of the lamellipodia in highly varying microenvironments.

板足动物动态稳定状态的机制。
板足是在细胞前缘形成的准二维肌动蛋白突起,通过形成局灶粘连在感知周围机械环境中发挥重要作用。板足中的分支肌动蛋白网络表现出稳定的动态稳态,其特征是逆行流动,这归因于前缘网络组装和后部网络拆卸之间的平衡。尽管近几十年来对板足的分子机制和结构进行了广泛的研究,但如何实现并稳定地维持持续逆行流动的动态稳态仍然是一个谜。使用基于agent的计算模型,我们探讨了板足亚细胞组分之间的物理相互作用如何介导和维持动态稳态。我们模拟了板足中的分支网络,由f -肌动蛋白、肌凝蛋白马达、Arp2/3复合物和肌动蛋白交联蛋白在弹性底物上组成。我们重现了由肌球蛋白活性诱导的稳定的逆行流动,并通过网络组装和拆卸之间的相互作用来平衡,但受到底层基质上形成的粘附阻力的阻碍。我们发现f -肌动蛋白切断对于维持连续、均匀的逆行血流至关重要,因为它增强了由于后部网络收缩而形成的肌动蛋白束/弧的分解。此外,我们还证明了不同的动态稳态模式是可能的,并且由于扰动而无法显示逆行流的网络可以通过改变其他因素来挽救。我们的研究为理解细胞如何在高度变化的微环境中维持板足的动态稳定状态提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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