Kukkonen Jyrki P
Department of Neuroscience, Unit of Physiology, Uppsala University, BMC, P.O. Box 572, SE-75123 Uppsala, Sweden.
Bioinformatics. 2004 Oct 12;20(15):2411-20. doi: 10.1093/bioinformatics/bth263. Epub 2004 Apr 15.
G-protein-coupled receptors (GPCRs) can create different intracellular signals depending on which G-proteins they couple to and which intracellular signal-integrators, such as adenylyl cyclases, are expressed in the cell. One and the same GPCR can activate multiple G-protein species, generating signals, which either inhibit or amplify each other. Because of this complexity, extraction of mechanistic information from concentration-response curves is not straightforward.
To tackle this problem, I describe in this paper explicit equations for GPCR-interaction with two G-protein species by different possible mechanisms, and also an equation for the regulation of an effector enzyme by the activated G-proteins or their effectors. Arithmetic solutions to these equations are presented, which resulted in the equations being applicable in a spreadsheet program environment. These equations are useful in simulations to analyze results, to design experiments and to test hypotheses. Some examples of this are presented in this study.
G蛋白偶联受体(GPCRs)可根据其所偶联的G蛋白种类以及细胞中所表达的细胞内信号整合蛋白(如腺苷酸环化酶)的不同,产生不同的细胞内信号。同一个GPCR能够激活多种G蛋白种类,生成相互抑制或放大的信号。由于这种复杂性,从浓度-反应曲线中提取机制信息并非易事。
为解决这一问题,我在本文中描述了GPCR通过不同可能机制与两种G蛋白种类相互作用的显式方程,以及活化的G蛋白或其效应器对效应酶进行调控的方程。给出了这些方程的算术解,使得这些方程可应用于电子表格程序环境。这些方程在模拟中有助于分析结果、设计实验和检验假设。本研究给出了一些相关示例。