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Structural and functional protein network analyses predict novel signaling functions for rhodopsin

Orchestration of signaling, photoreceptor structural integrity, and maintenance needed for mammalian vision remain enigmatic. By integrating three proteomic data sets, literature mining, computational analyses, and structural information, we have generated a multiscale signal transduction network li...

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Autores principales: Kiel, Christina, Vogt, Andreas, Campagna, Anne, Chatr-aryamontri, Andrew, Swiatek-de Lange, Magdalena, Beer, Monika, Bolz, Sylvia, Mack, Andreas F, Kinkl, Norbert, Cesareni, Gianni, Serrano, Luis, Ueffing, Marius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Molecular Biology Organization 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261702/
https://www.ncbi.nlm.nih.gov/pubmed/22108793
http://dx.doi.org/10.1038/msb.2011.83
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author Kiel, Christina
Vogt, Andreas
Campagna, Anne
Chatr-aryamontri, Andrew
Swiatek-de Lange, Magdalena
Beer, Monika
Bolz, Sylvia
Mack, Andreas F
Kinkl, Norbert
Cesareni, Gianni
Serrano, Luis
Ueffing, Marius
author_facet Kiel, Christina
Vogt, Andreas
Campagna, Anne
Chatr-aryamontri, Andrew
Swiatek-de Lange, Magdalena
Beer, Monika
Bolz, Sylvia
Mack, Andreas F
Kinkl, Norbert
Cesareni, Gianni
Serrano, Luis
Ueffing, Marius
author_sort Kiel, Christina
collection PubMed
description Orchestration of signaling, photoreceptor structural integrity, and maintenance needed for mammalian vision remain enigmatic. By integrating three proteomic data sets, literature mining, computational analyses, and structural information, we have generated a multiscale signal transduction network linked to the visual G protein-coupled receptor (GPCR) rhodopsin, the major protein component of rod outer segments. This network was complemented by domain decomposition of protein–protein interactions and then qualified for mutually exclusive or mutually compatible interactions and ternary complex formation using structural data. The resulting information not only offers a comprehensive view of signal transduction induced by this GPCR but also suggests novel signaling routes to cytoskeleton dynamics and vesicular trafficking, predicting an important level of regulation through small GTPases. Further, it demonstrates a specific disease susceptibility of the core visual pathway due to the uniqueness of its components present mainly in the eye. As a comprehensive multiscale network, it can serve as a basis to elucidate the physiological principles of photoreceptor function, identify potential disease-associated genes and proteins, and guide the development of therapies that target specific branches of the signaling pathway.
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spelling pubmed-32617022012-01-20 Structural and functional protein network analyses predict novel signaling functions for rhodopsin Kiel, Christina Vogt, Andreas Campagna, Anne Chatr-aryamontri, Andrew Swiatek-de Lange, Magdalena Beer, Monika Bolz, Sylvia Mack, Andreas F Kinkl, Norbert Cesareni, Gianni Serrano, Luis Ueffing, Marius Mol Syst Biol Article Orchestration of signaling, photoreceptor structural integrity, and maintenance needed for mammalian vision remain enigmatic. By integrating three proteomic data sets, literature mining, computational analyses, and structural information, we have generated a multiscale signal transduction network linked to the visual G protein-coupled receptor (GPCR) rhodopsin, the major protein component of rod outer segments. This network was complemented by domain decomposition of protein–protein interactions and then qualified for mutually exclusive or mutually compatible interactions and ternary complex formation using structural data. The resulting information not only offers a comprehensive view of signal transduction induced by this GPCR but also suggests novel signaling routes to cytoskeleton dynamics and vesicular trafficking, predicting an important level of regulation through small GTPases. Further, it demonstrates a specific disease susceptibility of the core visual pathway due to the uniqueness of its components present mainly in the eye. As a comprehensive multiscale network, it can serve as a basis to elucidate the physiological principles of photoreceptor function, identify potential disease-associated genes and proteins, and guide the development of therapies that target specific branches of the signaling pathway. European Molecular Biology Organization 2011-11-22 /pmc/articles/PMC3261702/ /pubmed/22108793 http://dx.doi.org/10.1038/msb.2011.83 Text en Copyright © 2011, EMBO and Macmillan Publishers Limited https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.
spellingShingle Article
Kiel, Christina
Vogt, Andreas
Campagna, Anne
Chatr-aryamontri, Andrew
Swiatek-de Lange, Magdalena
Beer, Monika
Bolz, Sylvia
Mack, Andreas F
Kinkl, Norbert
Cesareni, Gianni
Serrano, Luis
Ueffing, Marius
Structural and functional protein network analyses predict novel signaling functions for rhodopsin
title Structural and functional protein network analyses predict novel signaling functions for rhodopsin
title_full Structural and functional protein network analyses predict novel signaling functions for rhodopsin
title_fullStr Structural and functional protein network analyses predict novel signaling functions for rhodopsin
title_full_unstemmed Structural and functional protein network analyses predict novel signaling functions for rhodopsin
title_short Structural and functional protein network analyses predict novel signaling functions for rhodopsin
title_sort structural and functional protein network analyses predict novel signaling functions for rhodopsin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261702/
https://www.ncbi.nlm.nih.gov/pubmed/22108793
http://dx.doi.org/10.1038/msb.2011.83
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