表型转换机制决定了 "要么走要么长 "假说下细胞向细胞外基质迁移的结构。

IF 1.9 4区 数学 Q2 BIOLOGY
Rebecca M. Crossley , Kevin J. Painter , Tommaso Lorenzi , Philip K. Maini , Ruth E. Baker
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引用次数: 0

摘要

细胞集体迁移的一个基本特征是表型异质性,例如,表型异质性会影响肿瘤的进展和复发。虽然目前的数学模型通常考虑细胞群的离散表型结构,与 "去或生长 "假说相一致(Hatzikirou 等人,2012;Stepien 等人,2018),但它们经常忽略环境在迁移过程中决定细胞表型的作用。本研究比较了之前研究的可增殖、移动和降解细胞外基质(ECM)的同质普通细胞群体的体积填充模型(Crossley 等人,2023 年)和由可移动和降解 ECM 或可增殖的两个不同专一细胞亚群组成的异质群体的新型模型,探讨了不同假设的表型切换机制如何影响入侵细胞群体的速度和结构。通过从基于个体的连续模型衍生出的连续模型,我们可以深入了解 ECM 的影响以及表型转换对迁移细胞群的影响。值得注意的是,与普通细胞群相比,不能切换表型的专科细胞群显示出较低的入侵性,而实施不同形式的切换会显著改变迁移细胞前沿的结构。这一关键结果表明,入侵细胞群的结构可用来推断表型转换的内在机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phenotypic switching mechanisms determine the structure of cell migration into extracellular matrix under the ‘go-or-grow’ hypothesis

A fundamental feature of collective cell migration is phenotypic heterogeneity which, for example, influences tumour progression and relapse. While current mathematical models often consider discrete phenotypic structuring of the cell population, in-line with the ‘go-or-grow’ hypothesis (Hatzikirou et al., 2012; Stepien et al., 2018), they regularly overlook the role that the environment may play in determining the cells’ phenotype during migration. Comparing a previously studied volume-filling model for a homogeneous population of generalist cells that can proliferate, move and degrade extracellular matrix (ECM) (Crossley et al., 2023) to a novel model for a heterogeneous population comprising two distinct sub-populations of specialist cells that can either move and degrade ECM or proliferate, this study explores how different hypothetical phenotypic switching mechanisms affect the speed and structure of the invading cell populations. Through a continuum model derived from its individual-based counterpart, insights into the influence of the ECM and the impact of phenotypic switching on migrating cell populations emerge. Notably, specialist cell populations that cannot switch phenotype show reduced invasiveness compared to generalist cell populations, while implementing different forms of switching significantly alters the structure of migrating cell fronts. This key result suggests that the structure of an invading cell population could be used to infer the underlying mechanisms governing phenotypic switching.

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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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