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Modeling specificity in the yeast MAPK signaling networks

机译:酵母MAPK信号网络中的建模特异性

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Cells sense several kinds of stimuli and trigger corresponding responses through signaling pathways. As a result, cells must process and integrate multiple signals in parallel to maintain specificity and avoid erroneous cross-talk. In this study, we focus our theoretical effort on understanding specificity of a model network system in yeast, Saccharomyces cerevisiae, which contains three mitogen-activated protein kinase (MAPK) signal transduction cascades that share multiple signaling components. The cellular response to the pheromone, the filamentous growth and osmotic pressure stimuli in yeast is described and an integrative mathematical model for the three MAPK cascades is developed using available literature and experimental data. The theoretical framework for analyzing the specificity of signaling networks [Bardwell, L., Zou, X.F., Nie, Q., Komarova, N.L., 2007. Mathematical models of specificity in cell signaling. Biophys. J. 92, 3425-3441] is extended to include multiple interacting pathways with shared components. Simulations are also performed with any one stimulus, with any two simultaneous stimuli, and with the simultaneous application of the three stimuli. The interactions between the three pathways are systematically investigated. Moreover, the specificity and fidelity of this model system are calculated using our newly developed concept under different stimuli or with specific mutants. Our simulated and calculated results demonstrate that the yeast MAPK signaling network can achieve specificity and fidelity by filtering out spurious cross-talk between the relevant pathways through different mechanisms, such as scaffolding, cross-inhibiting, and feedback control. Proof that Pbs2 and Hog1 are essential for the maintenance of signaling specificity is presented. Our studies provide novel insights into integration of relevant signaling pathways in a biological system and the mechanisms conferring specificity in cellular signaling networks. (C) 2007 Elsevier Ltd. All rights reserved.
机译:细胞感知多种刺激并通过信号传导途径触发相应的反应。结果,细胞必须并行处理和整合多个信号以维持特异性并避免错误的串扰。在这项研究中,我们将理论工作集中于了解酵母酿酒酵母中模型网络系统的特异性,该酵母包含三个共享多个信号成分的促分裂原活化蛋白激酶(MAPK)信号转导级联。描述了对酵母中信息素的细胞反应,丝状生长和渗透压刺激,并利用现有文献和实验数据建立了三个MAPK级联的综合数学模型。用于分析信号传导网络特异性的理论框架[Bardwell,L.,Zou,X.F.,Nie,Q.,Komarova,N.L.,2007。细胞信号传导特异性的数学模型。生物物理学。 J. 92,3425-3441]扩展为包括具有共享组件的多个交互路径。还可以使用任意一种刺激,任意两种同时刺激以及同时施加三种刺激来进行模拟。系统地研究了三种途径之间的相互作用。而且,该模型系统的特异性和保真度是使用我们新开发的概念在不同刺激下或特定突变体下计算的。我们的模拟和计算结果表明,酵母MAPK信号网络可以通过不同的机制(例如脚手架,交叉抑制和反馈控制)滤除相关途径之间的虚假串扰,从而实现特异性和保真度。证明了Pbs2和Hog1对于维持信号传导特异性至关重要。我们的研究为有关生物系统中相关信号通路的整合以及在细胞信号网络中赋予特异性的机制提供了新颖的见解。 (C)2007 Elsevier Ltd.保留所有权利。

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