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Toward an understanding of the protein interaction network of the human liver

机译:了解人类肝脏的蛋白质相互作用网络

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AbstractProteome-scale protein interaction maps are available for many organisms, ranging from bacteria, yeast, worms and flies to humans. These maps provide substantial new insights into systems biology, disease research and drug discovery. However, only a small fraction of the total number of human protein–protein interactions has been identified. In this study, we map the interactions of an unbiased selection of 5026 human liver expression proteins by yeast two-hybrid technology and establish a human liver protein interaction network (HLPN) composed of 3484 interactions among 2582 proteins. The data set has a validation rate of over 72% as determined by three independent biochemical or cellular assays. The network includes metabolic enzymes and liver-specific, liver-phenotype and liver-disease proteins that are individually critical for the maintenance of liver functions. The liver enriched proteins had significantly different topological properties and increased our understanding of the functional relationships among proteins in a liver-specific manner. Our data represent the first comprehensive description of a HLPN, which could be a valuable tool for understanding the functioning of the protein interaction network of the human liver.SynopsisAn extensive interaction network of human liver-expressed proteins is described, composed of 3484 interactions among 2582 proteins. Proteins associated with liver disease tend to be central and highly connected in the network.The interactions of a broad selection of human liver-expressed proteins were mapped by yeast two-hybrid technology, establishing a human liver protein interaction network composed of 3484 interactions among 2582 proteins.The data represent the first comprehensive description and analysis of the human liver protein interaction network.Proteins with known associations with liver diseases or phenotypes tend to be central and highly connected in the network, while liver-specific proteins and metabolic enzymes are preferentially connected to central proteins.
机译:摘要蛋白质组规模的蛋白质相互作用图谱可用于许多生物,从细菌,酵母,蠕虫和果蝇到人类。这些地图为系统生物学,疾病研究和药物发现提供了实质性的新见解。但是,仅鉴定了人类蛋白质与蛋白质相互作用总数的一小部分。在这项研究中,我们通过酵母双杂交技术绘制了5026种人肝表达蛋白的无偏选择的相互作用图,并建立了由2582种蛋白之间的3484种相互作用组成的人肝蛋白相互作用网络(HLPN)。通过三项独立的生化或细胞分析,数据集的确认率超过72%。该网络包括代谢酶和肝特异性,肝表型和肝疾病蛋白,它们对于维持肝功能至关重要。富含肝脏的蛋白质具有明显不同的拓扑特性,并以肝脏特有的方式增加了我们对蛋白质之间功能关系的理解。我们的数据代表了HLPN的首次全面描述,这可能是了解人类肝脏蛋白质相互作用网络功能的有价值的工具。内容提要描述了人类肝脏表达的蛋白质的广泛相互作用网络,由2582之间的3484相互作用组成蛋白质。与肝病相关的蛋白质往往在网络中处于中心并且高度连接。酵母双杂交技术绘制了多种人类肝脏表达蛋白质的相互作用图谱,从而建立了由2582个之间的3484个相互作用组成的人类肝脏蛋白质相互作用网络数据代表了人类肝脏蛋白质相互作用网络的首次全面描述和分析,已知与肝脏疾病或表型相关的蛋白质往往在网络中处于中心和高度连接,而肝脏特异性蛋白质和代谢酶则优先连接中心蛋白。

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