Amoutzias Gregory D, Pichler Elgar E, Mian Nina, De Graaf David, Imsiridou Anastasia, Robinson-Rechavi Marc, Bornberg-Bauer Erich, Robertson David L, Oliver Stephen G
Faculty of Life Sciences, University of Manchester, Manchester, M13 9PT, UK.
BMC Syst Biol. 2007 Jul 31;1:34. doi: 10.1186/1752-0509-1-34.
The nuclear receptors are a large family of eukaryotic transcription factors that constitute major pharmacological targets. They exert their combinatorial control through homotypic heterodimerisation. Elucidation of this dimerisation network is vital in order to understand the complex dynamics and potential cross-talk involved.
Phylogeny, protein-protein interactions, protein-DNA interactions and gene expression data have been integrated to provide a comprehensive and up-to-date description of the topology and properties of the nuclear receptor interaction network in humans. We discriminate between DNA-binding and non-DNA-binding dimers, and provide a comprehensive interaction map, that identifies potential cross-talk between the various pathways of nuclear receptors.
We infer that the topology of this network is hub-based, and much more connected than previously thought. The hub-based topology of the network and the wide tissue expression pattern of NRs create a highly competitive environment for the common heterodimerising partners. Furthermore, a significant number of negative feedback loops is present, with the hub protein SHP [NR0B2] playing a major role. We also compare the evolution, topology and properties of the nuclear receptor network with the hub-based dimerisation network of the bHLH transcription factors in order to identify both unique themes and ubiquitous properties in gene regulation. In terms of methodology, we conclude that such a comprehensive picture can only be assembled by semi-automated text-mining, manual curation and integration of data from various sources.
核受体是一大类真核转录因子,构成了主要的药理学靶点。它们通过同型异源二聚化发挥组合控制作用。阐明这种二聚化网络对于理解其中涉及的复杂动态和潜在的相互作用至关重要。
系统发育、蛋白质-蛋白质相互作用、蛋白质-DNA相互作用和基因表达数据已被整合,以全面、最新地描述人类核受体相互作用网络的拓扑结构和特性。我们区分了DNA结合二聚体和非DNA结合二聚体,并提供了一个全面的相互作用图谱,该图谱确定了核受体各种途径之间的潜在相互作用。
我们推断该网络的拓扑结构是以枢纽为基础的,并且比以前认为的连接性更强。网络的枢纽拓扑结构和核受体广泛的组织表达模式为常见的异源二聚化伙伴创造了一个高度竞争的环境。此外,存在大量的负反馈环,枢纽蛋白SHP[NR0B2]起主要作用。我们还将核受体网络的进化、拓扑结构和特性与bHLH转录因子的基于枢纽的二聚化网络进行比较,以确定基因调控中独特的主题和普遍存在的特性。在方法学方面,我们得出结论,只有通过半自动文本挖掘、人工整理和整合来自各种来源的数据,才能构建出这样一幅全面的图景。