A protein interaction atlas for the nuclear receptors: properties and quality of a hub-based dimerisation network.

Détails

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Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_8C6B61D79078
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A protein interaction atlas for the nuclear receptors: properties and quality of a hub-based dimerisation network.
Périodique
BMC Systems Biology
Auteur⸱e⸱s
Amoutzias G.D., Pichler E.E., Mian N., De Graaf D., Imsiridou A., Robinson-Rechavi M., Bornberg-Bauer E., Robertson D.L., Oliver S.G.
ISSN
1752-0509 (Electronic)
ISSN-L
1752-0509
Statut éditorial
Publié
Date de publication
2007
Peer-reviewed
Oui
Volume
1
Pages
34
Langue
anglais
Résumé
BACKGROUND: 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. RESULTS: 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. CONCLUSION: 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.
Mots-clé
Animals, DNA/metabolism, Databases, Protein, Evolution, Molecular, Gene Expression Regulation, Humans, Metabolic Networks and Pathways/genetics, Mice, Phylogeny, Protein Binding, Protein Interaction Mapping, Receptors, Cytoplasmic and Nuclear/classification, Receptors, Cytoplasmic and Nuclear/genetics, Transcription Factors/classification, Transcription Factors/genetics
Pubmed
Web of science
Open Access
Oui
Création de la notice
24/01/2008 17:47
Dernière modification de la notice
20/08/2019 14:50
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