Cargando…

Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling

G protein–coupled receptors (GPCRs) exist in multiple dynamic states (e.g., ligand-bound, inactive, G protein–coupled) that influence G protein activation and ultimately response generation. In quantitative models of GPCR signaling that incorporate these varied states, parameter values are often unc...

Descripción completa

Detalles Bibliográficos
Autores principales: Kinzer-Ursem, Tamara L, Linderman, Jennifer J
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1769407/
https://www.ncbi.nlm.nih.gov/pubmed/17222056
http://dx.doi.org/10.1371/journal.pcbi.0030006
_version_ 1782131688726331392
author Kinzer-Ursem, Tamara L
Linderman, Jennifer J
author_facet Kinzer-Ursem, Tamara L
Linderman, Jennifer J
author_sort Kinzer-Ursem, Tamara L
collection PubMed
description G protein–coupled receptors (GPCRs) exist in multiple dynamic states (e.g., ligand-bound, inactive, G protein–coupled) that influence G protein activation and ultimately response generation. In quantitative models of GPCR signaling that incorporate these varied states, parameter values are often uncharacterized or varied over large ranges, making identification of important parameters and signaling outcomes difficult to intuit. Here we identify the ligand- and cell-specific parameters that are important determinants of cell-response behavior in a dynamic model of GPCR signaling using parameter variation and sensitivity analysis. The character of response (i.e., positive/neutral/inverse agonism) is, not surprisingly, significantly influenced by a ligand's ability to bias the receptor into an active conformation. We also find that several cell-specific parameters, including the ratio of active to inactive receptor species, the rate constant for G protein activation, and expression levels of receptors and G proteins also dramatically influence agonism. Expressing either receptor or G protein in numbers several fold above or below endogenous levels may result in system behavior inconsistent with that measured in endogenous systems. Finally, small variations in cell-specific parameters identified by sensitivity analysis as significant determinants of response behavior are found to change ligand-induced responses from positive to negative, a phenomenon termed protean agonism. Our findings offer an explanation for protean agonism reported in β(2)--adrenergic and α(2A)-adrenergic receptor systems.
format Text
id pubmed-1769407
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-17694072007-01-27 Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling Kinzer-Ursem, Tamara L Linderman, Jennifer J PLoS Comput Biol Research Article G protein–coupled receptors (GPCRs) exist in multiple dynamic states (e.g., ligand-bound, inactive, G protein–coupled) that influence G protein activation and ultimately response generation. In quantitative models of GPCR signaling that incorporate these varied states, parameter values are often uncharacterized or varied over large ranges, making identification of important parameters and signaling outcomes difficult to intuit. Here we identify the ligand- and cell-specific parameters that are important determinants of cell-response behavior in a dynamic model of GPCR signaling using parameter variation and sensitivity analysis. The character of response (i.e., positive/neutral/inverse agonism) is, not surprisingly, significantly influenced by a ligand's ability to bias the receptor into an active conformation. We also find that several cell-specific parameters, including the ratio of active to inactive receptor species, the rate constant for G protein activation, and expression levels of receptors and G proteins also dramatically influence agonism. Expressing either receptor or G protein in numbers several fold above or below endogenous levels may result in system behavior inconsistent with that measured in endogenous systems. Finally, small variations in cell-specific parameters identified by sensitivity analysis as significant determinants of response behavior are found to change ligand-induced responses from positive to negative, a phenomenon termed protean agonism. Our findings offer an explanation for protean agonism reported in β(2)--adrenergic and α(2A)-adrenergic receptor systems. Public Library of Science 2007-01 2007-01-12 /pmc/articles/PMC1769407/ /pubmed/17222056 http://dx.doi.org/10.1371/journal.pcbi.0030006 Text en © 2007 Kinzer-Ursem and Linderman. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kinzer-Ursem, Tamara L
Linderman, Jennifer J
Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
title Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
title_full Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
title_fullStr Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
title_full_unstemmed Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
title_short Both Ligand- and Cell-Specific Parameters Control Ligand Agonism in a Kinetic Model of G Protein–Coupled Receptor Signaling
title_sort both ligand- and cell-specific parameters control ligand agonism in a kinetic model of g protein–coupled receptor signaling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1769407/
https://www.ncbi.nlm.nih.gov/pubmed/17222056
http://dx.doi.org/10.1371/journal.pcbi.0030006
work_keys_str_mv AT kinzerursemtamaral bothligandandcellspecificparameterscontrolligandagonisminakineticmodelofgproteincoupledreceptorsignaling
AT lindermanjenniferj bothligandandcellspecificparameterscontrolligandagonisminakineticmodelofgproteincoupledreceptorsignaling