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G蛋白信号转导的机制模型。预偶联受体的效能和效应的决定因素。

Mechanistic model of G-protein signal transduction. Determinants of efficacy and effect of precoupled receptors.

作者信息

Shea L, Linderman J J

机构信息

Department of Chemical Engineering, University of Michigan, Ann Arbor 48109-2136, USA.

出版信息

Biochem Pharmacol. 1997 Feb 21;53(4):519-30. doi: 10.1016/s0006-2952(96)00768-x.

Abstract

Tissue-specific characteristics (e.g. receptor number) and agonist-specific characteristics (e.g. agonist binding kinetics) play roles in determining cellular response. The roles that these characteristics play are quantified by models of signal transduction. We examined signal transduction through G-protein-linked receptors, using a model based on the collision coupling model but including interconverting receptor states and the precoupling of receptors with G-proteins prior to the addition of agonist. Reaction and diffusion of molecules within the plasma membrane were simulated using Monte Carlo techniques. The G-protein activation produced by our model was compared with that produced by the collision coupling model. We quantitatively examined how the parameters characteristic of the tissue and agonist determine the midpoint and maximal response of the dose-response curve. Activation through agonist binding to precoupled receptors can produce significantly higher activation rates than does collision coupling. Tissue and agonist characteristics have qualitatively similar effects but quantitatively distinct effects on activation for the two models. Using standard experimental techniques, it may be possible to exploit these differences to determine the mechanism of G-protein activation in a specific cell system. A quantitative comparison of model predictions with published data on the beta-adrenergic receptor system (Stickle D and Barber R, Mole Pharmacol 40: 276-288, 1991) also is presented.

摘要

组织特异性特征(如受体数量)和激动剂特异性特征(如激动剂结合动力学)在决定细胞反应中发挥作用。这些特征所起的作用通过信号转导模型进行量化。我们使用基于碰撞偶联模型但包括受体状态相互转换以及在添加激动剂之前受体与G蛋白预偶联的模型,研究了通过G蛋白偶联受体的信号转导。使用蒙特卡罗技术模拟了质膜内分子的反应和扩散。将我们模型产生的G蛋白激活与碰撞偶联模型产生的进行了比较。我们定量研究了组织和激动剂的特征参数如何决定剂量反应曲线的中点和最大反应。通过激动剂与预偶联受体结合的激活比碰撞偶联能产生显著更高的激活速率。组织和激动剂特征对两种模型的激活具有定性相似但定量不同的影响。使用标准实验技术,有可能利用这些差异来确定特定细胞系统中G蛋白激活的机制。还给出了模型预测与关于β-肾上腺素能受体系统的已发表数据(Stickle D和Barber R,《分子药理学》40:276 - 288,1991)的定量比较。

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