Experimental and computational approaches for the study of calmodulin interactions

被引:36
|
作者
Reddy, A. S. N. [1 ]
Ben-Hur, Asa [2 ]
Day, Irene S. [1 ]
机构
[1] Colorado State Univ, Dept Biol, Program Mol Plant Biol, Program Cell & Mol Biol, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Dept Comp Sci, Ft Collins, CO 80523 USA
基金
美国国家科学基金会;
关键词
Arabidopsis; Calcium; Ca2+ sensors; Calmodulin; CaM-binding proteins; Signaling; Bioinformatics; Interaction prediction; Protein-protein interactions; Proteome; Protein chip; PROTEIN-PROTEIN INTERACTIONS; KINESIN-LIKE PROTEIN; BINDING-PROTEIN; ARABIDOPSIS-THALIANA; GLUTAMATE-DECARBOXYLASE; CA2+/CALMODULIN-BINDING PROTEINS; INTERACTION DATABASE; BIOLOGICAL NETWORKS; SIGNALING PATHWAYS; PLASMA-MEMBRANE;
D O I
10.1016/j.phytochem.2010.12.022
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Ca2+, 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 Ca2+ 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. Cal-modulins (CaMs) and CaM-like proteins (CMLs) are Ca2+ sensors that have no enzymatic activity of their own but upon binding Ca2+ interact and modulate the activity of other proteins involved in a large number of plant processes. Protein-protein interactions play a key role in Ca2+/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 Ca2+ sensor target proteins have uncovered their precise role in Ca2+-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 Ca2+ regulates a myriad of cellular and physiological processes. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1007 / 1019
页数:13
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