{"title":"A compartmentalized model to directional sensing: How can an amoeboid cell unify pointwise external signals as an integrated entity?","authors":"Zahra Eidi , Mehdi Sadeghi","doi":"10.1016/j.physa.2025.130564","DOIUrl":null,"url":null,"abstract":"<div><div>After exposure to an external chemical attractant, eukaryotic cells rely on several internal cellular downstream signal transduction pathways to control their chemotactic machinery. These pathways are spatially activated, ultimately leading to symmetry breaking around the cell periphery through the redistribution of various biochemicals such as polymerized actin for propulsion and the assembly of myosin II for retraction, typically at opposite sides of the cell. In this study, we propose a compartment-based design to model this process, known as directional sensing. Our model features a network of excitable elements around the cell circumference that are occasionally stimulated with local colored noise. These elements can share information with their close neighbors. We demonstrate that this dynamic can distinguish a temporary but sufficiently long-lasting direction statistically pointing toward the gradient of external stimulants, which can be interpreted as the preferred orientation of the cell periphery during the directional sensing process in eukaryotes.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130564"},"PeriodicalIF":2.8000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S037843712500216X","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
After exposure to an external chemical attractant, eukaryotic cells rely on several internal cellular downstream signal transduction pathways to control their chemotactic machinery. These pathways are spatially activated, ultimately leading to symmetry breaking around the cell periphery through the redistribution of various biochemicals such as polymerized actin for propulsion and the assembly of myosin II for retraction, typically at opposite sides of the cell. In this study, we propose a compartment-based design to model this process, known as directional sensing. Our model features a network of excitable elements around the cell circumference that are occasionally stimulated with local colored noise. These elements can share information with their close neighbors. We demonstrate that this dynamic can distinguish a temporary but sufficiently long-lasting direction statistically pointing toward the gradient of external stimulants, which can be interpreted as the preferred orientation of the cell periphery during the directional sensing process in eukaryotes.
真核细胞在接触外部化学吸引物后,会依靠几种内部细胞下游信号转导途径来控制其趋化机制。这些途径在空间上被激活,最终通过各种生化物质的重新分配,如用于推进的聚合肌动蛋白和用于回缩的肌球蛋白 II 的组装,导致细胞外围的对称性破坏,通常是在细胞的相对两侧。在本研究中,我们提出了一种基于区室的设计来模拟这一过程,即所谓的定向感应。我们的模型以细胞周缘的可兴奋元件网络为特征,这些元件偶尔会受到局部彩色噪声的刺激。这些元件可以与近邻共享信息。我们证明,这种动态可区分出一个临时但足够持久的方向,在统计上指向外部刺激物的梯度,这可解释为真核生物在定向感应过程中细胞外围的首选方向。
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.