Dynamics and signal multiplicity in the G protein network

所有细胞都能够识别和响应来自环境的信号。进行这种识别和响应的分子机制已被很好地描述为许多信号，并且人们认识到存在信号传导途径的相互作用网络。然而，细胞生物学中的一个中心问题是这些信号网络相互作用并被控制和整合以产生对多种信号的适当响应的方式。这个项目将探索信号网络的设计原理，使细胞能够处理包括外部信号的强度和持续时间在内的信息。实验和数学建模的方法将被用来获得一个系统级的理解，在植物（拟南芥）的多个信号传感非常适合于在环境变化的响应研究。一个新的教学工具，高中学生和他们的教师的课程材料将被创建，使明确的基本数学原理，将允许生物学的学生开发和操纵细胞信号模型。该项目将建立拟南芥葡萄糖/病原体（PAMP）传感系统的系统级特性，建立在“剂量-持续时间互惠”的涌现特性上，使用异源三聚体G蛋白途径中的葡萄糖响应来制定。该项目的具体目标是：1）葡萄糖反应系统网络结构赋予的紧急特性，2）多个信号可以通过单个复合物产生不同结果的方式，以及3）系统组件亚细胞位置的动态调节细胞反应结果的方式。

All cells are capable of recognizing and responding to signals from their environment. The molecular machinery that carries out this recognition and response has been well described for many signals, and it is recognized that interacting networks of signaling pathways exist. However, a central problem in cell biology is the manner in which these signaling networks interact and are controlled and integrated to produce an appropriate response to multiple signals. This project will explore the design principles of signaling networks that allow cells to process information that includes both the strength and duration of external signals. Experimental and mathematical modeling approaches will be used to gain a systems-level understanding of multiple signal sensing in a plant (Arabidopsis) well-suited to the study of responses to changes in the environment. A new teaching tool for High School students and the curricular materials for their teachers will be created that make explicit the underlying mathematical principles that will allow students of biology to develop and manipulate models of cell signaling. This project will establish systems-level properties of the glucose/pathogen (PAMP) sensing system of Arabidopsis, building on the emergent property of "dose-duration reciprocity" formulated using the glucose response in the heterotrimeric G protein pathway. The specific aims of the project address 1) The emergent properties conferred by network architecture on the glucose response systems, 2) the manner in which multiple signals can operate through a single complex to generate different outcomes, and 3) the manner in which the dynamics of subcellular location of system components regulate the cellular response outcomes.