Literature DB >> 21338992

Experimental and computational approaches for the study of calmodulin interactions.

A S N Reddy1, Asa Ben-Hur, Irene S Day.   

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21338992     DOI: 10.1016/j.phytochem.2010.12.022

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  18 in total

Review 1.  Recent advances in calcium/calmodulin-mediated signaling with an emphasis on plant-microbe interactions.

Authors:  B W Poovaiah; Liqun Du; Huizhong Wang; Tianbao Yang
Journal:  Plant Physiol       Date:  2013-09-06       Impact factor: 8.340

Review 2.  Coping with stresses: roles of calcium- and calcium/calmodulin-regulated gene expression.

Authors:  Anireddy S N Reddy; Gul S Ali; Helena Celesnik; Irene S Day
Journal:  Plant Cell       Date:  2011-06-03       Impact factor: 11.277

3.  Calmodulin-binding protein CBP60g is a positive regulator of both disease resistance and drought tolerance in Arabidopsis.

Authors:  Dongli Wan; Ruili Li; Bo Zou; Xin Zhang; Jingyu Cong; Ruigang Wang; Yiji Xia; Guojing Li
Journal:  Plant Cell Rep       Date:  2012-03-31       Impact factor: 4.570

4.  The IQD Family of Calmodulin-Binding Proteins Links Calcium Signaling to Microtubules, Membrane Subdomains, and the Nucleus.

Authors:  Katharina Bürstenbinder; Birgit Möller; Romina Plötner; Gina Stamm; Gerd Hause; Dipannita Mitra; Steffen Abel
Journal:  Plant Physiol       Date:  2017-01-23       Impact factor: 8.340

5.  The emerging function of IQD proteins as scaffolds in cellular signaling and trafficking.

Authors:  Steffen Abel; Katharina Bürstenbinder; Jens Müller
Journal:  Plant Signal Behav       Date:  2013-03-26

6.  Arabidopsis calmodulin-binding protein IQ67-domain 1 localizes to microtubules and interacts with kinesin light chain-related protein-1.

Authors:  Katharina Bürstenbinder; Tatyana Savchenko; Jens Müller; Aaron W Adamson; Gina Stamm; Raymond Kwong; Brandon J Zipp; Dhurvas Chandrasekaran Dinesh; Steffen Abel
Journal:  J Biol Chem       Date:  2012-11-30       Impact factor: 5.157

7.  Transcription factors as potential participants in the signal transduction pathway of boron deficiency.

Authors:  Agustín González-Fontes; Jesús Rexach; Carlos Quiles-Pando; M Begoña Herrera-Rodríguez; Juan J Camacho-Cristóbal; M Teresa Navarro-Gochicoa
Journal:  Plant Signal Behav       Date:  2013-08-29

Review 8.  Advances in omics and bioinformatics tools for systems analyses of plant functions.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2011-12       Impact factor: 4.927

9.  Multiple instance learning of Calmodulin binding sites.

Authors:  Fayyaz ul Amir Afsar Minhas; Asa Ben-Hur
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

Review 10.  Experimental evidence validating the computational inference of functional associations from gene fusion events: a critical survey.

Authors:  Vasilis J Promponas; Christos A Ouzounis; Ioannis Iliopoulos
Journal:  Brief Bioinform       Date:  2012-12-05       Impact factor: 11.622

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