title: Charting plant interactomes: possibilities and challenges.
abstract: Protein-protein interactions are essential for nearly all cellular processes. Therefore, an important goal of post-genomic research for defining gene function and understanding the function of macromolecular complexes involves creating 'interactome' maps from empirical or inferred datasets. Systematic efforts to conduct high-throughput surveys of protein-protein interactions in plants are needed to chart the complex and dynamic interaction networks that occur throughout plant development. However, no single approach can build a complete map of the interactome. Here, we review the utility and potential of various experimental approaches for creating large-scale protein-protein interaction maps in plants. Bioinformatics approaches for curating and assessing the confidence of these datasets through inter-species comparisons will be crucial in achieving a complete understanding of protein interaction networks in plants.
authors.affiliation: Department of Biochemistry and Molecular Biology, MS200, University of Nevada, Reno, NV 89557, USA.
authors.forename: Mustafa
authors.initials: M
authors.lastname: Morsy
authors.forename: Satyanarayana
authors.initials: S
authors.lastname: Gouthu
authors.forename: Sandra
authors.initials: S
authors.lastname: Orchard
authors.forename: David
authors.initials: D
authors.lastname: Thorneycroft
authors.forename: Jeff F
authors.initials: JF
authors.lastname: Harper
authors.forename: Ron
authors.initials: R
authors.lastname: Mittler
authors.forename: John C
authors.initials: JC
authors.lastname: Cushman
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008954:Models, Biological; D010940:Plant Proteins / Q000235:genetics / Q000378:metabolism*; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*
chemical_list: D010940:Plant Proteins