Morsy Mustafa, Gouthu Satyanarayana, Orchard Sandra, Thorneycroft David, Harper Jeff F, Mittler Ron, Cushman John C
Department of Biochemistry and Molecular Biology, MS200, University of Nevada, Reno, NV 89557, USA.
Trends Plant Sci. 2008 Apr;13(4):183-91. doi: 10.1016/j.tplants.2008.01.006. Epub 2008 Mar 7.
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.
蛋白质-蛋白质相互作用对于几乎所有细胞过程都至关重要。因此，后基因组研究中用于定义基因功能和理解大分子复合物功能的一个重要目标是，根据经验或推断数据集创建“相互作用组”图谱。需要开展系统性工作，对植物中的蛋白质-蛋白质相互作用进行高通量调查，以绘制贯穿植物发育过程的复杂且动态的相互作用网络。然而，没有单一方法能够构建出完整的相互作用组图谱。在此，我们综述了各种实验方法在创建植物大规模蛋白质-蛋白质相互作用图谱方面的实用性和潜力。通过种间比较来整理和评估这些数据集可信度的生物信息学方法，对于全面理解植物中的蛋白质相互作用网络至关重要。
