Implementation of actin polymerization and depolymerization in a two-dimensional cell migration model and its implications on mammalian cell morphology and velocity

IF 1.9 4区 数学 Q2 BIOLOGY
Lingxing Yao , Yizeng Li
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引用次数: 0

Abstract

Cell migration, a pivotal process in wound healing, immune response, and even cancer metastasis, manifests through intricate interplay between morphology, speed, and cytoskeletal dynamics. Mathematical modeling emerges as a powerful tool to dissect these complex interactions. This work presents a two-dimensional immersed boundary model for mammalian cell migration, incorporating both filamentous actin (F-actin) and monomeric actin (G-actin) to explicitly capture polymerization and depolymerization. This model builds upon our previous one-dimensional efforts, now enabling us to explore the impact of G-actin on not just cell velocity but also morphology. We compare predictions from both models, revealing that while the one-dimensional model captures core dynamics along the cell’s axis, the two-dimensional model excels in portraying cell shape evolution and transverse variations in actin concentration and velocity. Our findings highlight the crucial role of including G-actin in shaping cell morphology. Actin velocity aligned with migration direction elongates the cell, while velocity normal to the membrane promotes spreading. Importantly, the model establishes a link between these microscopic aspects and macroscopic observables like cell shape, offering a deeper understanding of cell migration dynamics. This work not only provides a more comprehensive picture of cell migration but also paves the way for future studies exploring the interplay of actin dynamics, cell morphology, and biophysical parameters in diverse biological contexts.
二维细胞迁移模型中肌动蛋白聚合和解聚的实现及其对哺乳动物细胞形态和速度的影响。
细胞迁移是伤口愈合、免疫反应甚至癌症转移的关键过程,它通过形态、速度和细胞骨架动力学之间错综复杂的相互作用表现出来。数学建模是剖析这些复杂相互作用的有力工具。本研究提出了哺乳动物细胞迁移的二维沉浸边界模型,其中包含丝状肌动蛋白(F-actin)和单体肌动蛋白(G-actin),以明确捕捉聚合和解聚过程。该模型建立在我们之前的一维模型基础之上,使我们现在能够探索 G-actin 不仅对细胞速度而且对形态的影响。我们比较了两种模型的预测结果,发现一维模型能捕捉到沿细胞轴向的核心动态,而二维模型则能出色地描绘细胞形态演变以及肌动蛋白浓度和速度的横向变化。我们的发现凸显了 G-肌动蛋白在塑造细胞形态中的关键作用。与迁移方向一致的肌动蛋白速度会拉长细胞,而与膜正常方向一致的速度则会促进细胞扩散。重要的是,该模型在这些微观方面与细胞形状等宏观观测指标之间建立了联系,从而加深了对细胞迁移动力学的理解。这项工作不仅为细胞迁移提供了一个更全面的图景,还为未来探索肌动蛋白动力学、细胞形态和生物物理参数在不同生物环境中的相互作用的研究铺平了道路。
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
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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