Elastic interactions compete with persistent cell motility to drive durotaxis.

IF 3.2 3区 生物学 Q2 BIOPHYSICS
Subhaya Bose, Haiqin Wang, Xinpeng Xu, Arvind Gopinath, Kinjal Dasbiswas
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引用次数: 0

Abstract

Many animal cells that crawl on extracellular substrates exhibit durotaxis, i.e., directed migration toward stiffer substrate regions. This has implications in several biological processes including tissue development and tumor progression. Here, we introduce a phenomenological model for single-cell durotaxis that incorporates both elastic deformation-mediated cell-substrate interactions and the stochasticity of cell migration. Our model is motivated by a key observation in an early demonstration of durotaxis: a single, contractile cell at a sharp interface between a softer and a stiffer region of an elastic substrate reorients and migrates toward the stiffer region. We model migrating cells as self-propelling, persistently motile agents that exert contractile traction forces on their elastic substrate. The resulting substrate deformations induce elastic interactions with mechanical boundaries, captured by an elastic potential. The dynamics is determined by two crucial parameters: the strength of the cellular traction-induced boundary elastic interaction (A), and the persistence of cell motility (Pe). Elastic forces and torques resulting from the potential orient cells perpendicular (parallel) to the boundary and accumulate (deplete) them at the clamped (free) boundary. Thus, a clamped boundary induces an attractive potential that drives durotaxis, while a free boundary induces a repulsive potential that prevents antidurotaxis. By quantifying the steady-state position and orientation probability densities, we show how the extent of accumulation (depletion) depends on the strength of the elastic potential and motility. We compare and contrast crawling cells with biological microswimmers and other synthetic active particles, where accumulation at confining boundaries is well known. We define metrics quantifying boundary accumulation and durotaxis, and present a phase diagram that identifies three possible regimes: durotaxis, and adurotaxis with and without motility-induced accumulation at the boundary. Overall, our model predicts how durotaxis depends on cell contractility and motility, successfully explains some previous observations, and provides testable predictions to guide future experiments.

弹性相互作用与持续的细胞运动相互竞争,推动了黑僵病的发生。
许多在细胞外基质上爬行的动物细胞都会表现出 "杜罗塔克西斯"(durotaxis)现象,即向较硬的基质区域定向迁移。这对包括组织发育和肿瘤进展在内的多个生物过程都有影响。在这里,我们介绍了一种单细胞杜罗他西斯现象学模型,该模型将弹性形变介导的细胞与基底相互作用和细胞迁移的随机性结合在一起。我们的模型源于早期展示的杜罗塔克西斯现象中的一个关键观察结果:在弹性基底的较软区域和较硬区域之间的尖锐界面上,单个收缩细胞重新定向并向较硬区域迁移。我们将迁移细胞建模为在弹性基底上施加收缩牵引力的自我推进的持续运动因子。由此产生的基底变形会引起与机械边界的弹性相互作用,这种相互作用由弹性势能捕捉。动力学由两个关键参数决定:细胞牵引引起的边界弹性相互作用的强度(A)和细胞运动的持久性(Pe)。势能产生的弹性力和力矩使细胞垂直(平行)于边界,并在夹紧(自由)边界处积聚(耗尽)细胞。因此,夹紧的边界会诱发吸引势,从而推动杜罗塔希斯运动,而自由边界则会诱发排斥势,从而阻止反杜罗塔希斯运动。通过量化稳态位置和方向概率密度,我们展示了积聚(耗竭)的程度如何取决于弹性势能和运动的强度。我们将爬行细胞与生物微泳道和其他合成活性颗粒进行了比较和对比,众所周知,生物微泳道和其他合成活性颗粒在限制边界处有积累现象。我们定义了量化边界积聚和杜罗塔希斯的指标,并提出了一个相图,确定了三种可能的状态:杜罗塔希斯、有运动诱导边界积聚和无运动诱导边界积聚的杜罗塔希斯。总之,我们的模型预测了黑轴化如何依赖于细胞的收缩性和运动性,成功解释了之前的一些观察结果,并提供了可检验的预测以指导未来的实验。
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
Biophysical journal
Biophysical journal 生物-生物物理
CiteScore
6.10
自引率
5.90%
发文量
3090
审稿时长
2 months
期刊介绍: BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.
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