Your browser doesn't support javascript.
loading
How GPCR Phosphorylation Patterns Orchestrate Arrestin-Mediated Signaling.
Latorraca, Naomi R; Masureel, Matthieu; Hollingsworth, Scott A; Heydenreich, Franziska M; Suomivuori, Carl-Mikael; Brinton, Connor; Townshend, Raphael J L; Bouvier, Michel; Kobilka, Brian K; Dror, Ron O.
Afiliação
  • Latorraca NR; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Depa
  • Masureel M; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: matthieu.masureel@gmail.com.
  • Hollingsworth SA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Depa
  • Heydenreich FM; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biochemistry, Institute for Research in Immunology and Cancer, Université de Montreal, Montreal, QC, Canada.
  • Suomivuori CM; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Depa
  • Brinton C; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Depa
  • Townshend RJL; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Depa
  • Bouvier M; Department of Biochemistry, Institute for Research in Immunology and Cancer, Université de Montreal, Montreal, QC, Canada.
  • Kobilka BK; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Dror RO; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Depa
Cell ; 183(7): 1813-1825.e18, 2020 12 23.
Article em En | MEDLINE | ID: mdl-33296703
ABSTRACT
Binding of arrestin to phosphorylated G-protein-coupled receptors (GPCRs) controls many aspects of cell signaling. The number and arrangement of phosphates may vary substantially for a given GPCR, and different phosphorylation patterns trigger different arrestin-mediated effects. Here, we determine how GPCR phosphorylation influences arrestin behavior by using atomic-level simulations and site-directed spectroscopy to reveal the effects of phosphorylation patterns on arrestin binding and conformation. We find that patterns favoring binding differ from those favoring activation-associated conformational change. Both binding and conformation depend more on arrangement of phosphates than on their total number, with phosphorylation at different positions sometimes exerting opposite effects. Phosphorylation patterns selectively favor a wide variety of arrestin conformations, differently affecting arrestin sites implicated in scaffolding distinct signaling proteins. We also reveal molecular mechanisms of these phenomena. Our work reveals the structural basis for the long-standing "barcode" hypothesis and has important implications for design of functionally selective GPCR-targeted drugs.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Arrestina / Receptores Acoplados a Proteínas G Limite: Humans Idioma: En Revista: Cell Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Arrestina / Receptores Acoplados a Proteínas G Limite: Humans Idioma: En Revista: Cell Ano de publicação: 2020 Tipo de documento: Article
...