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CAREER: Spatial Modeling and Computation of Cell Signaling in Cell-to-Cell Communication

职业：细胞间通信中细胞信号传导的空间建模和计算

基本信息

批准号：
1253481
负责人：
Ching-Shan Chou
金额：
$ 40.39万
依托单位：
Ohio State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-01 至 2019-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253481&HistoricalAwards=false
关键词：
CAREER Spatial Modeling Computation Cell

项目摘要

Cell-to-cell communication is fundamental to cell and system functions. Proper communication between cells relies upon precise control and coordination of extracellular and intracellular signaling, as well as the induced cellular responses such as cell morphogenesis. This project is to study cell-to-cell communication through yeast mating system using mathematical modeling and will be conducted in close collaboration with experimentalists. The project will develop the models and the computational framework for a multi-cell environment that includes complex extracellular and intracellular signaling networks and the cell morphological changes. Numerical methods will be developed to meet the computational modeling challenges. Cells interact with their environment or with other cells through sensing and making responses such as cell movement and cell shape change. These processes require precise coordination of intricate cellular networks and the resulting responses. This project will use mathematical modeling and computation to examine the interaction between cells and the underlying networks. The models and computational framework developed in this research can be applied to other systems, such as neural and immune systems, in which cell-to-cell communication is central to their function. Therefore, this project can aid medical research. The research in this project will be integrated with educational activities in computational and mathematical methods, with the aim of training undergraduate and graduate students for interdisciplinary research in mathematical biology.

细胞间的通信是细胞和系统功能的基础。细胞之间的正确通信依赖于细胞外和细胞内信号传导的精确控制和协调，以及诱导的细胞反应，如细胞形态发生。该项目是利用数学建模研究通过酵母交配系统的细胞与细胞通讯，并将与实验学家密切合作进行。该项目将开发多细胞环境的模型和计算框架，其中包括复杂的细胞外和细胞内信号网络以及细胞形态变化。数值方法将被开发，以满足计算建模的挑战。细胞通过感知和做出反应（如细胞运动和细胞形状变化）与环境或其他细胞相互作用。这些过程需要精确协调复杂的蜂窝网络和由此产生的响应。这个项目将使用数学建模和计算来研究细胞和底层网络之间的相互作用。在这项研究中开发的模型和计算框架可以应用于其他系统，如神经和免疫系统，其中细胞间的通信是其功能的核心。因此，该项目可以帮助医学研究。本项目的研究将与计算和数学方法的教育活动相结合，目的是培养本科生和研究生进行数学生物学的跨学科研究。