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定向和定量磷酸化网络

Directional and quantitative phosphorylation networks.

作者信息

Jørgensen Claus, Linding Rune

出版信息

Brief Funct Genomic Proteomic. 2008 Jan;7(1):17-26. doi: 10.1093/bfgp/eln001. Epub 2008 Feb 12.

Abstract

Directionality in protein signalling networks is due to modulated protein-protein interactions and is fundamental for proper signal progression and response to external and internal cues. This property is in part enabled by linear motifs embedding post-translational modification sites. These serve as recognition sites, guiding phosphorylation by kinases and subsequent binding of modular domains (e.g. SH2 and BRCT). Characterization of such modification-modulated interactions on a proteome-wide scale requires extensive computational and experimental analysis. Here, we review the latest advances in methods for unravelling phosphorylation-mediated cellular interaction networks. In particular, we will discuss how the combination of new quantitative mass-spectrometric technologies and computational algorithms together are enhancing mapping of these largely uncharted dynamic networks. By combining quantitative measurements of phosphorylation events with computational approaches, we argue that systems level models will help to decipher complex diseases through the ability to predict cellular systems trajectories.

摘要

蛋白质信号网络中的方向性源于蛋白质-蛋白质相互作用的调控,对于信号的正常传递以及对外部和内部信号的响应至关重要。这一特性部分由嵌入翻译后修饰位点的线性基序促成。这些线性基序作为识别位点,引导激酶进行磷酸化以及随后模块化结构域(如SH2和BRCT)的结合。在蛋白质组范围内表征此类修饰调控的相互作用需要广泛的计算和实验分析。在此,我们综述了揭示磷酸化介导的细胞相互作用网络方法的最新进展。特别是,我们将讨论新的定量质谱技术和计算算法如何共同增强对这些大部分未知的动态网络的绘制。通过将磷酸化事件的定量测量与计算方法相结合,我们认为系统水平模型将有助于通过预测细胞系统轨迹的能力来解读复杂疾病。

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