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QR code model: a new possibility for GPCR phosphorylation recognition

G protein-coupled receptors (GPCRs) are the largest family of membrane proteins in the human body and are responsible for accurately transmitting extracellular information to cells. Arrestin is an important member of the GPCR signaling pathway. The main function of arrestin is to assist receptor des...

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Autores principales: Chen, Hao, Zhang, Suli, Zhang, Xi, Liu, Huirong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889771/
https://www.ncbi.nlm.nih.gov/pubmed/35236365
http://dx.doi.org/10.1186/s12964-022-00832-4
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author Chen, Hao
Zhang, Suli
Zhang, Xi
Liu, Huirong
author_facet Chen, Hao
Zhang, Suli
Zhang, Xi
Liu, Huirong
author_sort Chen, Hao
collection PubMed
description G protein-coupled receptors (GPCRs) are the largest family of membrane proteins in the human body and are responsible for accurately transmitting extracellular information to cells. Arrestin is an important member of the GPCR signaling pathway. The main function of arrestin is to assist receptor desensitization, endocytosis and signal transduction. In these processes, the recognition and binding of arrestin to phosphorylated GPCRs is fundamental. However, the mechanism by which arrestin recognizes phosphorylated GPCRs is not fully understood. The GPCR phosphorylation recognition “bar code model” and “flute” model describe the basic process of receptor phosphorylation recognition in terms of receptor phosphorylation sites, arrestin structural changes and downstream signaling. These two models suggest that GPCR phosphorylation recognition is a process involving multiple factors. This process can be described by a “QR code” model in which ligands, GPCRs, G protein-coupled receptor kinase, arrestin, and phosphorylation sites work together to determine the biological functions of phosphorylated receptors. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12964-022-00832-4.
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spelling pubmed-88897712022-03-09 QR code model: a new possibility for GPCR phosphorylation recognition Chen, Hao Zhang, Suli Zhang, Xi Liu, Huirong Cell Commun Signal Review G protein-coupled receptors (GPCRs) are the largest family of membrane proteins in the human body and are responsible for accurately transmitting extracellular information to cells. Arrestin is an important member of the GPCR signaling pathway. The main function of arrestin is to assist receptor desensitization, endocytosis and signal transduction. In these processes, the recognition and binding of arrestin to phosphorylated GPCRs is fundamental. However, the mechanism by which arrestin recognizes phosphorylated GPCRs is not fully understood. The GPCR phosphorylation recognition “bar code model” and “flute” model describe the basic process of receptor phosphorylation recognition in terms of receptor phosphorylation sites, arrestin structural changes and downstream signaling. These two models suggest that GPCR phosphorylation recognition is a process involving multiple factors. This process can be described by a “QR code” model in which ligands, GPCRs, G protein-coupled receptor kinase, arrestin, and phosphorylation sites work together to determine the biological functions of phosphorylated receptors. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12964-022-00832-4. BioMed Central 2022-03-02 /pmc/articles/PMC8889771/ /pubmed/35236365 http://dx.doi.org/10.1186/s12964-022-00832-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Chen, Hao
Zhang, Suli
Zhang, Xi
Liu, Huirong
QR code model: a new possibility for GPCR phosphorylation recognition
title QR code model: a new possibility for GPCR phosphorylation recognition
title_full QR code model: a new possibility for GPCR phosphorylation recognition
title_fullStr QR code model: a new possibility for GPCR phosphorylation recognition
title_full_unstemmed QR code model: a new possibility for GPCR phosphorylation recognition
title_short QR code model: a new possibility for GPCR phosphorylation recognition
title_sort qr code model: a new possibility for gpcr phosphorylation recognition
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889771/
https://www.ncbi.nlm.nih.gov/pubmed/35236365
http://dx.doi.org/10.1186/s12964-022-00832-4
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