Geometry controls diffusive target encounters and escape in tubular structures

Junyeong L. Kim, Aidan I. Brown
{"title":"Geometry controls diffusive target encounters and escape in tubular structures","authors":"Junyeong L. Kim, Aidan I. Brown","doi":"arxiv-2402.03059","DOIUrl":null,"url":null,"abstract":"The endoplasmic reticulum (ER) is a network of sheet-like and tubular\nstructures that spans much of a cell and contains molecules undergoing\ndiffusive searches for targets, such as unfolded proteins searching for\nchaperones and recently-folded proteins searching for export sites. By applying\na Brownian dynamics algorithm to simulate molecule diffusion, we describe how\nER tube geometry influences whether a searcher will encounter a nearby target\nor instead diffuse away to a region near to a distinct target, as well as the\ntimescale of successful searches. We find that targets are more likely to be\nfound for longer and narrower tubes, and larger targets, and that search in the\ntube volume is more sensitive to the search geometry compared to search on the\ntube surface. Our results suggest ER proteins searching for low-density targets\nin the membrane and the lumen are very likely to encounter the nearest target\nbefore diffusing to the vicinity of another target. Our results have\nimplications for the design of target search simulations and calculations and\ninterpretation of molecular trajectories on the ER network, as well as other\norganelles with tubular geometry.","PeriodicalId":501170,"journal":{"name":"arXiv - QuanBio - Subcellular Processes","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Subcellular Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2402.03059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The endoplasmic reticulum (ER) is a network of sheet-like and tubular structures that spans much of a cell and contains molecules undergoing diffusive searches for targets, such as unfolded proteins searching for chaperones and recently-folded proteins searching for export sites. By applying a Brownian dynamics algorithm to simulate molecule diffusion, we describe how ER tube geometry influences whether a searcher will encounter a nearby target or instead diffuse away to a region near to a distinct target, as well as the timescale of successful searches. We find that targets are more likely to be found for longer and narrower tubes, and larger targets, and that search in the tube volume is more sensitive to the search geometry compared to search on the tube surface. Our results suggest ER proteins searching for low-density targets in the membrane and the lumen are very likely to encounter the nearest target before diffusing to the vicinity of another target. Our results have implications for the design of target search simulations and calculations and interpretation of molecular trajectories on the ER network, as well as other organelles with tubular geometry.
几何形状控制着管状结构中扩散目标的相遇和逃逸
内质网(ER)是一个由片状和管状结构组成的网络,横跨细胞的大部分区域,其中的分子正在扩散寻找目标,例如未折叠的蛋白质在寻找伴侣蛋白,最近折叠的蛋白质在寻找导出位点。通过应用布朗动力学算法模拟分子扩散,我们描述了ER管的几何形状如何影响搜索者是遇到附近的目标还是扩散到靠近不同目标的区域,以及成功搜索的时间尺度。我们发现,较长、较窄的管子和较大的目标更有可能被发现,而且与在管子表面的搜索相比,在管子体积内的搜索对搜索几何形状更敏感。我们的结果表明,ER蛋白在膜和管腔中搜索低密度目标时,很可能先遇到最近的目标,然后再扩散到另一个目标附近。我们的结果对设计目标搜索模拟、计算和解释ER网络上的分子轨迹以及其他具有管状几何形状的细胞器都有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信