{"title":"Modelling intracellular transport in crowded environments: effects of motor association to cargos","authors":"Sutapa Mukherji, Dhruvi K. Patel","doi":"10.1140/epje/s10189-024-00440-9","DOIUrl":null,"url":null,"abstract":"<p>In intracellular transports, motor proteins transport macromolecules as cargos to desired locations by moving on biopolymers such as microtubules. Recent experiments suggest that, while moving in crowded environments, cargos that can associate motor proteins during their translocation have larger run-length and association time compared to free motors. Here, we model the dynamics of a cargo that can associate at the most <i>m</i> free motors present on the microtubule track as obstacles to its motion. The proposed models display competing effects of association and crowding, leading to a peak in the run-length with the free-motor density. For <span>\\(m=2\\)</span> and 3, we show that this feature is governed by the largest eigenvalue of the transition matrix describing the cargo dynamics. In all the above cases, free motors are assumed to be present on the microtubule as stalled obstacles. We finally compare simulation results for the run-length for general scenarios where the free motors undergo processive motion in addition to binding and unbinding to or from the microtubule.</p>","PeriodicalId":790,"journal":{"name":"The European Physical Journal E","volume":"47 7","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The European Physical Journal E","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1140/epje/s10189-024-00440-9","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
In intracellular transports, motor proteins transport macromolecules as cargos to desired locations by moving on biopolymers such as microtubules. Recent experiments suggest that, while moving in crowded environments, cargos that can associate motor proteins during their translocation have larger run-length and association time compared to free motors. Here, we model the dynamics of a cargo that can associate at the most m free motors present on the microtubule track as obstacles to its motion. The proposed models display competing effects of association and crowding, leading to a peak in the run-length with the free-motor density. For \(m=2\) and 3, we show that this feature is governed by the largest eigenvalue of the transition matrix describing the cargo dynamics. In all the above cases, free motors are assumed to be present on the microtubule as stalled obstacles. We finally compare simulation results for the run-length for general scenarios where the free motors undergo processive motion in addition to binding and unbinding to or from the microtubule.
在细胞内运输过程中,马达蛋白通过在微管等生物聚合物上移动,将大分子作为货物运输到所需位置。最近的实验表明,在拥挤的环境中移动时,与自由马达相比,在转运过程中能与马达蛋白结合的货物的运行长度和结合时间更大。在这里,我们建立了一个货物的动力学模型,该货物最多能与微管轨道上作为其运动障碍的 m 个自由马达结合。所提出的模型显示了联合和拥挤的竞争效应,导致运行长度随着自由马达密度的增加而达到峰值。对于 m = 2 和 3,我们证明这一特征受描述货物动力学的过渡矩阵最大特征值的支配。在上述所有情况下,我们都假设自由马达作为停滞的障碍物存在于微管上。最后,我们比较了一般情况下的运行长度模拟结果,即自由马达除了与微管结合或脱离微管外,还进行过程性运动。
期刊介绍:
EPJ E publishes papers describing advances in the understanding of physical aspects of Soft, Liquid and Living Systems.
Soft matter is a generic term for a large group of condensed, often heterogeneous systems -- often also called complex fluids -- that display a large response to weak external perturbations and that possess properties governed by slow internal dynamics.
Flowing matter refers to all systems that can actually flow, from simple to multiphase liquids, from foams to granular matter.
Living matter concerns the new physics that emerges from novel insights into the properties and behaviours of living systems. Furthermore, it aims at developing new concepts and quantitative approaches for the study of biological phenomena. Approaches from soft matter physics and statistical physics play a key role in this research.
The journal includes reports of experimental, computational and theoretical studies and appeals to the broad interdisciplinary communities including physics, chemistry, biology, mathematics and materials science.