Comparison of human protein-protein interaction maps

Comparison of human protein-protein interaction maps
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DOI:
10.1093/bioinformatics/btl683
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发表时间:
2007-03-01
期刊:
影响因子:
5.8
通讯作者:
Herzel, Hanspeter
Herzel, Hanspeter
中科院分区:
生物学3区
文献类型:
--
作者:
Futschik, Matthias E.;Chaurasia, Gautam;Herzel, Hanspeter

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动机:蛋白质-蛋白质相互作用的大规模映射已经开始为我们提供细胞内复杂分子机制的新观点。在系统地绘制酵母、蠕虫和苍蝇等模式生物中蛋白质相互作用的初始项目之后,研究人员开始关注人类相互作用组的绘制。为了应对这一巨大挑战,人们提出并采取了不同的方法。虽然最近发表了一些大规模的人类蛋白质相互作用图,但它们的质量仍有待严格评估。结果:我们在此首次对8个目前可用的大尺度图谱进行了比较分析,其中包括超过10,000个独特的蛋白质和57,000个相互作用。它们要么基于文献检索、同源学,要么基于酵母双杂交测定。比较显示只有很小的,但统计上显著的重叠。更重要的是,我们的分析给出了明确的指示,所有的相互作用图都意味着相当大的选择和检测偏差。这些结果必须考虑到未来人类相互作用组的组装。可用性:一个称为统一人类互动组(UniHI)的综合人类互动网络可在http://www.mdc-berlin.de/unihi.Contact: m.futschik@biologie.hu-berlin.deSupplementary上公开访问。
Motivation: Large-scale mappings of protein-protein interactions have started to give us new views of the complex molecular mechanisms inside a cell. After initial projects to systematically map protein interactions in model organisms such as yeast, worm and fly, researchers have begun to focus on the mapping of the human interactome. To tackle this enormous challenge, different approaches have been proposed and pursued. While several large-scale human protein interaction maps have recently been published, their quality remains to be critically assessed.Results: We present here a first comparative analysis of eight currently available large-scale maps with a total of over 10 000 unique proteins and 57 000 interactions included. They are based either on literature search, orthology or by yeast-two-hybrid assays. Comparison reveals only a small, but statistically significant overlap. More importantly, our analysis gives clear indications that all interaction maps imply considerable selection and detection biases. These results have to be taken into account for future assembly of the human interactome.Availability: An integrated human interaction network called Unified Human Interactome (UniHI) is made publicly accessible at http://www.mdc-berlin.de/unihi.Contact: m.futschik@biologie.hu-berlin.deSupplementary information: Supplementary data are available at Bioinformatics online.