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首页> 外文期刊>Journal of proteome research >Extended Human G-Protein Coupled Receptor Network: Cell-Type-Specific Analysis of G-Protein Coupled Receptor Signaling Pathways
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Extended Human G-Protein Coupled Receptor Network: Cell-Type-Specific Analysis of G-Protein Coupled Receptor Signaling Pathways

机译:扩展人G蛋白偶联受体网络:G蛋白偶联受体信号传导途径的细胞型特异性分析

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摘要

G-protein coupled receptors (GPCRs) mediate crucial physiological functions in humans, have been implicated in an array of diseases, and are therefore prime drug targets. GPCRs signal via a multitude of pathways, mainly through G-proteins and beta-arrestins, to regulate effectors responsible for cellular responses. The limited number of transducers results in different GPCRs exerting control on the same pathway, while the availability of signaling proteins in a cell defines the result of GPCR activation. The aim of this study was to construct the extended human GPCR network (hGPCRnet) and examine the effect that cell-type specificity has on GPCR signaling pathways. To achieve this, protein-protein interaction data between GPCRs, G-protein coupled receptor kinases (GRKs), G alpha subunits, beta-arrestins, and effectors were combined with protein expression data in cell types. This resulted in the hGPCRnet, a very large interconnected network, and similar cell-type-specific networks in which, distinct GPCR signaling pathways were formed. Finally, a user friendly web application, hGPCRnet (http://bioinformatics.biol.uoa.gr/hGPCRnet), was created to allow for the visualization and exploration of these networks and of GPCR signaling pathways. This work, and the resulting application, can be useful in further studies of GPCR function and pharmacology.
机译:G-蛋白偶联受体(GPCR)在人体中介导关键的生理功能,并涉及一种疾病,因此是主要药物靶标。 GPCRS信号通过多种途径,主要是通过G-PRODEINS和BETA-ARRESTINS来调节负责细胞反应的效果。有限数量的换能器导致在相同途径上施加控制的不同GPCR,而细胞中的信号蛋白的可用性定义了GPCR活化的结果。本研究的目的是构建扩展人类GPCR网络(HGPCRNET),并检查细胞型特异性对GPCR信号通路的影响。为了实现这一点,GPCR,G蛋白偶联受体激酶(GRKS),Gα亚基,β-雷汀和效应子之间的蛋白质 - 蛋白质相互作用数据与细胞类型中的蛋白质表达数据组合。这导致HGPCRNET,一个非常大的互连网络和类似的细胞类型特定网络,其中形成了不同的GPCR信号通路。最后,创建了一个用户友好的Web应用程序HGPCRNET(http://bioinformatics.biol.uoa.gr/hgpcrnet),以允许对这些网络和GPCR信令路径进行可视化和探索。这项工作和所产生的应用可以在进一步研究GPCR功能和药理学中有用。

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