细胞膜上受体聚集的建模和可视化

M. Falk, M. Daub, G. Schneider, T. Ertl
{"title":"细胞膜上受体聚集的建模和可视化","authors":"M. Falk, M. Daub, G. Schneider, T. Ertl","doi":"10.1109/BioVis.2011.6094042","DOIUrl":null,"url":null,"abstract":"In cell biology, apopotosis is a very important cellular process. Apopotosis, or programmed cell death, allows an organism to remove damaged or unneeded cells in a structured manner in contrast to necrosis. Ligands bind to the death receptors located on the cellular membrane forming ligand-receptor clusters. In this paper, we develop a novel mathematical model describing the stochastic process of the ligand-receptor clustering. To study the structure and the size of the ligand-receptor clusters, a stochastic particle simulation is employed. Besides the translation of the particles on the cellular membrane, we also take the particle rotation into account as we model binding sites explicitly. Glyph-based visualization techniques are used to validate and analyze the results of our in-silico model. Information on the individual clusters as well as particle-specific data can be selected by the user and is mapped to colors to highlight certain properties of the data. The results of our model look very promising. The visualization supports the process of model development by visual data analysis including the identification of cluster components as well as the illustration of particle trajectories.","PeriodicalId":354473,"journal":{"name":"2011 IEEE Symposium on Biological Data Visualization (BioVis).","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Modeling and visualization of receptor clustering on the cellular membrane\",\"authors\":\"M. Falk, M. Daub, G. Schneider, T. Ertl\",\"doi\":\"10.1109/BioVis.2011.6094042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In cell biology, apopotosis is a very important cellular process. Apopotosis, or programmed cell death, allows an organism to remove damaged or unneeded cells in a structured manner in contrast to necrosis. Ligands bind to the death receptors located on the cellular membrane forming ligand-receptor clusters. In this paper, we develop a novel mathematical model describing the stochastic process of the ligand-receptor clustering. To study the structure and the size of the ligand-receptor clusters, a stochastic particle simulation is employed. Besides the translation of the particles on the cellular membrane, we also take the particle rotation into account as we model binding sites explicitly. Glyph-based visualization techniques are used to validate and analyze the results of our in-silico model. Information on the individual clusters as well as particle-specific data can be selected by the user and is mapped to colors to highlight certain properties of the data. The results of our model look very promising. The visualization supports the process of model development by visual data analysis including the identification of cluster components as well as the illustration of particle trajectories.\",\"PeriodicalId\":354473,\"journal\":{\"name\":\"2011 IEEE Symposium on Biological Data Visualization (BioVis).\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Symposium on Biological Data Visualization (BioVis).\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BioVis.2011.6094042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Symposium on Biological Data Visualization (BioVis).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BioVis.2011.6094042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

在细胞生物学中,细胞凋亡是一个非常重要的细胞过程。细胞凋亡,或程序性细胞死亡,允许生物体以结构化的方式去除受损或不需要的细胞,而不是坏死。配体与细胞膜上的死亡受体结合形成配体-受体簇。本文建立了一个描述配体-受体聚类随机过程的数学模型。为了研究配体-受体簇的结构和大小,采用了随机粒子模拟。除了粒子在细胞膜上的翻译外,我们还考虑了粒子的旋转,因为我们明确地模拟了结合位点。基于字形的可视化技术用于验证和分析我们的硅模型的结果。用户可以选择关于单个集群的信息以及特定于粒子的数据,并将其映射到颜色以突出显示数据的某些属性。我们模型的结果看起来很有希望。可视化通过可视化数据分析支持模型开发过程,包括识别聚类组件以及粒子轨迹的说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and visualization of receptor clustering on the cellular membrane
In cell biology, apopotosis is a very important cellular process. Apopotosis, or programmed cell death, allows an organism to remove damaged or unneeded cells in a structured manner in contrast to necrosis. Ligands bind to the death receptors located on the cellular membrane forming ligand-receptor clusters. In this paper, we develop a novel mathematical model describing the stochastic process of the ligand-receptor clustering. To study the structure and the size of the ligand-receptor clusters, a stochastic particle simulation is employed. Besides the translation of the particles on the cellular membrane, we also take the particle rotation into account as we model binding sites explicitly. Glyph-based visualization techniques are used to validate and analyze the results of our in-silico model. Information on the individual clusters as well as particle-specific data can be selected by the user and is mapped to colors to highlight certain properties of the data. The results of our model look very promising. The visualization supports the process of model development by visual data analysis including the identification of cluster components as well as the illustration of particle trajectories.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信