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具有化学趋性的纤维网络上细胞迁移的多线索动力学模型与非局部传感

Multi-Cue Kinetic Model with Non-Local Sensing for Cell Migration on a Fiber Network with Chemotaxis.

机构信息

Department of Mathematical Sciences, "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.

出版信息

Bull Math Biol. 2022 Feb 12;84(3):42. doi: 10.1007/s11538-021-00978-1.

Abstract

Cells perform directed motion in response to external stimuli that they detect by sensing the environment with their membrane protrusions. Precisely, several biochemical and biophysical cues give rise to tactic migration in the direction of their specific targets. Thus, this defines a multi-cue environment in which cells have to sort and combine different, and potentially competitive, stimuli. We propose a non-local kinetic model for cell migration in which cell polarization is influenced simultaneously by two external factors: contact guidance and chemotaxis. We propose two different sensing strategies, and we analyze the two resulting transport kinetic models by recovering the appropriate macroscopic limit in different regimes, in order to observe how the cell size, with respect to the variation of both external fields, influences the overall behavior. This analysis shows the importance of dealing with hyperbolic models, rather than drift-diffusion ones. Moreover, we numerically integrate the kinetic transport equations in a two-dimensional setting in order to investigate qualitatively various scenarios. Finally, we show how our setting is able to reproduce some experimental results concerning the influence of topographical and chemical cues in directing cell motility.

摘要

细胞在受到细胞膜突起感知到的外部刺激的作用下,会朝着特定的目标进行定向运动。确切地说,有几种生化和生物物理线索会导致细胞朝着特定的目标进行策略性的迁移。因此,这就定义了一个多线索环境,细胞必须对不同的、潜在竞争的刺激进行分类和组合。我们提出了一种用于细胞迁移的非局部动力学模型,其中细胞极化同时受到两个外部因素的影响:接触导向和趋化性。我们提出了两种不同的传感策略,并通过在不同的情况下恢复适当的宏观极限,分析了这两种产生的运输动力学模型,以便观察细胞大小如何相对于两个外部场的变化,影响整体行为。该分析表明处理双曲模型而不是漂移扩散模型的重要性。此外,我们在二维环境中数值积分了动力学传输方程,以定性地研究各种情况。最后,我们展示了我们的设置如何能够重现一些关于地形和化学线索在指导细胞运动中的影响的实验结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b2b/8840942/77522b9eae4a/11538_2021_978_Fig1_HTML.jpg

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