Competing elastic and viscous gradients determine directional cell migration

IF 1.9 4区 数学 Q2 BIOLOGY Mathematical Biosciences Pub Date : 2025-02-01 DOI:10.1016/j.mbs.2024.109362
Pablo Saez , Pallavi U. Shirke , Jyoti R. Seth , Jorge Alegre-Cebollada , Abhijit Majumder
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Abstract

Cell migration regulates central life processes including embryonic development, tissue regeneration, and tumor invasion. To establish the direction of migration, cells follow exogenous cues. Durotaxis, the directed cell migration towards elastic stiffness gradients, is the classical example of mechanical taxis. However, whether gradients of the relaxation properties in the extracellular matrix may also induce tactic responses (viscotaxis) is not well understood. Moreover, whether and how durotaxis and viscotaxis interact with each other has never been investigated. Here, we integrate clutch models for cell adhesions with an active gel theory of cell migration to reveal the mechanisms that govern viscotaxis. We show that viscotaxis is enabled by an asymmetric expression of cell adhesions that further polarize the intracellular motility forces to establish the cell front, similar to durotaxis. More importantly, when both relaxation and elastic gradients coexist, durotaxis appears more efficient in controlling directed cell migration, which we confirm with experimental results. However, the presence of opposing relaxation gradients to an elastic one can arrest or shift the migration direction. Our model rationalizes for the first time the mechanisms that govern viscotaxis and its competition with durotaxis through a mathematical model.
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竞争的弹性和粘性梯度决定了细胞的定向迁移。
细胞迁移调节中枢生命过程,包括胚胎发育、组织再生和肿瘤侵袭。为了确定迁移的方向,细胞遵循外源信号。定向细胞向弹性刚度梯度的迁移是机械迁移的经典例子。然而,细胞外基质弛豫特性的梯度是否也可能诱导策略反应(粘滞性)尚不清楚。此外,硬性和粘性是否相互作用以及如何相互作用从未被研究过。在这里,我们将细胞粘附的离合器模型与细胞迁移的活性凝胶理论相结合,以揭示控制黏性的机制。我们发现,黏性是通过细胞粘附的不对称表达实现的,这种不对称表达进一步极化细胞内运动力以建立细胞前沿,类似于黏性。更重要的是,当松弛梯度和弹性梯度共存时,硬度趋向性在控制定向细胞迁移方面似乎更有效,我们用实验结果证实了这一点。然而,与弹性弛豫梯度相反的弛豫梯度的存在可以阻止或改变迁移方向。我们的模型首次通过数学模型合理化了控制粘性及其与硬性竞争的机制。
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
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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