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Towards a proteome-scale map of the human protein-protein interaction network

机译:走向人类蛋白质-蛋白质相互作用网络的蛋白质组比例图

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Systematic mapping of protein-protein interactions, or 'inter-actome' mapping, was initiated in model organisms, starting with defined biological processes and then expanding to the scale of the proteome. Although far from complete, such maps have revealed global topological and dynamic features of interactome networks that relate to known biological properties, suggesting that a human interactome map will provide insight into development and disease mechanisms at a systems level. Here we describe an initial version of a proteome-scale map of human binary protein-protein interactions. Using a stringent, high-throughput yeast two-hybrid system, we tested pairwise interactions among the products of ~8,100 currently available Gateway-cloned open reading frames and detected ~2,800 interactions. This data set, called CCSB-HI1, has a verification rate of ~78% as revealed by an independent co-affinity purification assay, and correlates significantly with other biological attributes. The CCSB-HI1 data set increases by ~70% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins. This work represents an important step towards a systematic and comprehensive human interactome project.
机译:在模型有机体中启动了蛋白质-蛋白质相互作用的系统作图或“跨组织”作图,从定义的生物学过程开始,然后扩展到蛋白质组的规模。尽管还不完整,但此类图谱揭示了与已知生物学特性有关的相互作用组网络的全局拓扑和动态特征,这表明人类相互作用组图谱将提供对系统级发育和疾病机制的洞察力。在这里,我们描述了人类二进制蛋白质-蛋白质相互作用的蛋白质组规模图的初始版本。使用严格的高通量酵母双杂交系统,我们测试了约8,100种当前可用的Gateway克隆开放阅读框的产品之间的成对相互作用,并检测了约2,800种相互作用。该数据集被称为CCSB-HI1,通过独立的共亲和力纯化测定显示,验证率为〜78%,并且与其他生物学特性显着相关。 CCSB-HI1数据集在测试空间内将可用二进制相互作用的集合增加了约70%,并揭示了与100多种疾病相关蛋白的300多个新连接。这项工作代表了朝着系统和全面的人类交互组项目迈出的重要一步。

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