Evidence map›Paper›PMID 17672894›Full record

ArticleBMC systems biology2007

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

Gregory D Amoutzias, Elgar E Pichler, Nina Mian, David De Graaf, Anastasia Imsiridou, Marc Robinson-Rechavi, Erich Bornberg-Bauer, David L Robertson, Stephen G Oliver

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  7. Principles of Computation by Competitive Protein Dimerization Networks.bioRxiv : the preprint server for biology · 2024
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  19. Transcriptome-wide analysis of differential gene expression in response to light:dark cycles in a model cnidarian.Comparative biochemistry and physiology. Part D, Genomics & proteomics · 2018
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 5 countries.

Gregory D AmoutziasFaculty of Life Sciences, University of Manchester, Manchester, M13 9PT, UK. grigoris.amoutzias@psb.ugent.be
Elgar E Pichler
Nina Mian
David De Graaf
Anastasia Imsiridou
Marc Robinson-Rechavi
Erich Bornberg-Bauer
David L Robertson
Stephen G Oliver
University of Manchester · GBAstraZeneca (United Kingdom) · GBAlexander Technological Educational Institute of Thessaloniki · GRPfizer (United States) · USSIB Swiss Institute of Bioinformatics · CHUniversity of Münster · DE

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

backgroundThe 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.

resultsPhylogeny, 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.

conclusionWe 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.

Indexed as

Gene Expression RegulationProtein Interaction MappingAnimalsDatabases, ProteinDNAEvolution, MolecularHumansMetabolic Networks and PathwaysMicePhylogenyProtein BindingReceptors, Cytoplasmic and NuclearTranscription FactorsDNAReceptors, Cytoplasmic and NuclearTranscription Factors

Identifiers

PMID17672894
PMCPMC1971058
OpenAlexW2096691821

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.