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用于研究钙调蛋白相互作用的实验和计算方法。

Experimental and computational approaches for the study of calmodulin interactions.

机构信息

Department of Biology, Program in Molecular Plant Biology, Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA.

出版信息

Phytochemistry. 2011 Jul;72(10):1007-19. doi: 10.1016/j.phytochem.2010.12.022. Epub 2011 Feb 19.

Abstract

Ca(2+), a universal messenger in eukaryotes, plays a major role in signaling pathways that control many growth and developmental processes in plants as well as their responses to various biotic and abiotic stresses. Cellular changes in Ca(2+) in response to diverse signals are recognized by protein sensors that either have their activity modulated or that interact with other proteins and modulate their activity. Calmodulins (CaMs) and CaM-like proteins (CMLs) are Ca(2+) sensors that have no enzymatic activity of their own but upon binding Ca(2+) interact and modulate the activity of other proteins involved in a large number of plant processes. Protein-protein interactions play a key role in Ca(2+)/CaM-mediated in signaling pathways. In this review, using CaM as an example, we discuss various experimental approaches and computational tools to identify protein-protein interactions. During the last two decades hundreds of CaM-binding proteins in plants have been identified using a variety of approaches ranging from simple screening of expression libraries with labeled CaM to high-throughput screens using protein chips. However, the high-throughput methods have not been applied to the entire proteome of any plant system. Nevertheless, the data provided by these screens allows the development of computational tools to predict CaM-interacting proteins. Using all known binding sites of CaM, we developed a computational method that predicted over 700 high confidence CaM interactors in the Arabidopsis proteome. Most (>600) of these are not known to bind calmodulin, suggesting that there are likely many more CaM targets than previously known. Functional analyses of some of the experimentally identified Ca(2+) sensor target proteins have uncovered their precise role in Ca(2+)-mediated processes. Further studies on identifying novel targets of CaM and CMLs and generating their interaction network - "calcium sensor interactome" - will help us in understanding how Ca(2+) regulates a myriad of cellular and physiological processes.

摘要

钙离子(Ca(2+))是真核生物中的一种通用信使,在控制植物许多生长和发育过程以及它们对各种生物和非生物胁迫的反应的信号通路中发挥着主要作用。细胞对各种信号的 Ca(2+)变化是通过具有调节自身活性或与其他蛋白质相互作用并调节其活性的蛋白质传感器来识别的。钙调蛋白(CaMs)和钙调蛋白样蛋白(CMLs)是没有自身酶活性的 Ca(2+)传感器,但在结合 Ca(2+)后相互作用并调节参与大量植物过程的其他蛋白质的活性。蛋白质-蛋白质相互作用在 Ca(2+)/CaM 介导的信号通路中起着关键作用。在这篇综述中,我们以 CaM 为例,讨论了识别蛋白质-蛋白质相互作用的各种实验方法和计算工具。在过去的二十年中,已经使用从标记 CaM 的简单表达文库筛选到使用蛋白质芯片的高通量筛选等各种方法在植物中鉴定了数百种 CaM 结合蛋白。然而,高通量方法尚未应用于任何植物系统的整个蛋白质组。尽管如此,这些筛选提供的数据允许开发用于预测 CaM 相互作用蛋白的计算工具。我们使用所有已知的 CaM 结合位点开发了一种计算方法,该方法预测了拟南芥蛋白质组中超过 700 个高置信度的 CaM 相互作用蛋白。其中大多数(>600 个)以前未知与钙调蛋白结合,这表明可能有比以前已知的更多的 CaM 靶标。对一些实验鉴定的 Ca(2+)传感器靶蛋白的功能分析揭示了它们在 Ca(2+)介导的过程中的精确作用。进一步研究确定 CaM 和 CML 的新靶标并生成它们的相互作用网络——“钙传感器相互作用组”,将有助于我们理解 Ca(2+)如何调节无数的细胞和生理过程。

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