Mapping Plant Interactomes Using Literature Curated and Predicted Protein-Protein Interaction Data Sets
Mapping Plant Interactomes Using Literature Curated and Predicted Protein-Protein Interaction Data Sets
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DOI：
10.1105/tpc.109.072736
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发表时间：
2010-04-01
期刊：
影响因子：
11.6
通讯作者：
Ideker, Trey
中科院分区：
文献类型：
--
作者：
Lee, KiYoung;Thorneycroft, David;Ideker, Trey
大多数细胞过程都是由在植物蛋白质组内形成动态网络的相互作用蛋白质群实现的。对这些网络的研究可以深入了解蛋白质的功能，并为研究提供新的途径。本文介绍了植物科学界目前可用的蛋白质相互作用数据来源，并讨论了它们如何对研究人员有用。使用我们最近策划的IntAct拟南芥蛋白质-蛋白质相互作用数据集为例，我们讨论了迄今为止产生的植物相互作用组的潜力和局限性。此外，我们提出了我们的努力，以增加价值的相互作用的数据，用它们来种子的蛋白质组范围的预测蛋白质亚细胞位置的地图。
Most cellular processes are enabled by cohorts of interacting proteins that form dynamic networks within the plant proteome. The study of these networks can provide insight into protein function and provide new avenues for research. This article informs the plant science community of the currently available sources of protein interaction data and discusses how they can be useful to researchers. Using our recently curated IntAct Arabidopsis thaliana protein-protein interaction data set as an example, we discuss potentials and limitations of the plant interactomes generated to date. In addition, we present our efforts to add value to the interaction data by using them to seed a proteome-wide map of predicted protein subcellular locations.