Evidence map›Paper›PMID 27295348›Full record

ArticlePLoS computational biology2016

Deciphering Dimerization Modes of PAS Domains: Computational and Experimental Analyses of the AhR:ARNT Complex Reveal New Insights Into the Mechanisms of AhR Transformation.

Dario Corrada, Anatoly A Soshilov, Michael S Denison, Laura Bonati

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. TCDD-Induced Allosteric Perturbation of the AhR:ARNT Binding to DNA.International journal of molecular sciences · 2023
    Article
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  6. Review
  7. Review
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  9. Differential modulation of Ahr and Arid5a: A promising therapeutic strategy for autoimmune encephalomyelitis.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    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

4 authors at 2 institutions in 2 countries.

Dario CorradaDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.
Anatoly A SoshilovDepartment of Environmental Toxicology, University of California, Davis, Davis, California, United States of America.
Michael S DenisonDepartment of Environmental Toxicology, University of California, Davis, Davis, California, United States of America.
Laura BonatiDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0003-3028-0368
University of California, Davis · USUniversity of Milano-Bicocca · IT

Funding

RECOMBINANT DETECTION SYSTEMS FOR DIOXIN LIKE CHEMICALSR01ES007685 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI DENISON, MICHAEL STEVEN · 1995 to 2019
$4.7M
NIEHS NIH HHS R01 ES007685
6 · The paper itself

Abstract

The Aryl hydrocarbon Receptor (AhR) is a transcription factor that mediates the biochemical response to xenobiotics and the toxic effects of a number of environmental contaminants, including dioxins. Recently, endogenous regulatory roles for the AhR in normal physiology and development have also been reported, thus extending the interest in understanding its molecular mechanisms of activation. Since dimerization with the AhR Nuclear Translocator (ARNT) protein, occurring through the Helix-Loop-Helix (HLH) and PER-ARNT-SIM (PAS) domains, is needed to convert the AhR into its transcriptionally active form, deciphering the AhR:ARNT dimerization mode would provide insights into the mechanisms of AhR transformation. Here we present homology models of the murine AhR:ARNT PAS domain dimer developed using recently available X-ray structures of other bHLH-PAS protein dimers. Due to the different reciprocal orientation and interaction surfaces in the different template dimers, two alternative models were developed for both the PAS-A and PAS-B dimers and they were characterized by combining a number of computational evaluations. Both well-established hot spot prediction methods and new approaches to analyze individual residue and residue-pairwise contributions to the MM-GBSA binding free energies were adopted to predict residues critical for dimer stabilization. On this basis, a mutagenesis strategy for both the murine AhR and ARNT proteins was designed and ligand-dependent DNA binding ability of the AhR:ARNT heterodimer mutants was evaluated. While functional analysis disfavored the HIF2α:ARNT heterodimer-based PAS-B model, most mutants derived from the CLOCK:BMAL1-based AhR:ARNT dimer models of both the PAS-A and the PAS-B dramatically decreased the levels of DNA binding, suggesting this latter model as the most suitable for describing AhR:ARNT dimerization. These novel results open new research directions focused at elucidating basic molecular mechanisms underlying the functional activity of the AhR.

Indexed as

Aryl Hydrocarbon Receptor Nuclear TranslocatorModels, MolecularProtein DomainsReceptors, Aryl HydrocarbonComputational BiologyHumansMutationAryl Hydrocarbon Receptor Nuclear TranslocatorReceptors, Aryl Hydrocarbon

Identifiers

PMID27295348
PMCPMC4905635
OpenAlexW2437960705

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LicenceCC BY
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Registered trials

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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.