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A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework

The kinetics/dynamics of signaling are of increasing value for G-protein-coupled receptor therapeutic development, including spatiotemporal signaling and the kinetic context of biased agonism. Effective application of signaling kinetics to developing new therapeutics requires reliable kinetic assays...

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Autores principales: Hoare, Sam R. J., Tewson, Paul H., Quinn, Anne Marie, Hughes, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000712/
https://www.ncbi.nlm.nih.gov/pubmed/32019973
http://dx.doi.org/10.1038/s41598-020-58421-9
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author Hoare, Sam R. J.
Tewson, Paul H.
Quinn, Anne Marie
Hughes, Thomas E.
author_facet Hoare, Sam R. J.
Tewson, Paul H.
Quinn, Anne Marie
Hughes, Thomas E.
author_sort Hoare, Sam R. J.
collection PubMed
description The kinetics/dynamics of signaling are of increasing value for G-protein-coupled receptor therapeutic development, including spatiotemporal signaling and the kinetic context of biased agonism. Effective application of signaling kinetics to developing new therapeutics requires reliable kinetic assays and an analysis framework to extract kinetic pharmacological parameters. Here we describe a platform for measuring arrestin recruitment kinetics to GPCRs using a high quantum yield, genetically encoded fluorescent biosensor, and a data analysis framework to quantify the recruitment kinetics. The sensor enabled high temporal resolution measurement of arrestin recruitment to the angiotensin AT(1) and vasopressin V(2) receptors. The analysis quantified the initial rate of arrestin recruitment (k(τ)), a biologically-meaningful kinetic drug efficacy parameter, by fitting time course data using routine curve-fitting methods. Biased agonism was assessed by comparing k(τ) values for arrestin recruitment with those for Gq signaling via the AT(1) receptor. The k(τ) ratio values were in good agreement with bias estimates from existing methods. This platform potentially improves and simplifies assessment of biased agonism because the same assay modality is used to compare pathways (potentially in the same cells), the analysis method is parsimonious and intuitive, and kinetic context is factored into the bias measurement.
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spelling pubmed-70007122020-02-11 A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework Hoare, Sam R. J. Tewson, Paul H. Quinn, Anne Marie Hughes, Thomas E. Sci Rep Article The kinetics/dynamics of signaling are of increasing value for G-protein-coupled receptor therapeutic development, including spatiotemporal signaling and the kinetic context of biased agonism. Effective application of signaling kinetics to developing new therapeutics requires reliable kinetic assays and an analysis framework to extract kinetic pharmacological parameters. Here we describe a platform for measuring arrestin recruitment kinetics to GPCRs using a high quantum yield, genetically encoded fluorescent biosensor, and a data analysis framework to quantify the recruitment kinetics. The sensor enabled high temporal resolution measurement of arrestin recruitment to the angiotensin AT(1) and vasopressin V(2) receptors. The analysis quantified the initial rate of arrestin recruitment (k(τ)), a biologically-meaningful kinetic drug efficacy parameter, by fitting time course data using routine curve-fitting methods. Biased agonism was assessed by comparing k(τ) values for arrestin recruitment with those for Gq signaling via the AT(1) receptor. The k(τ) ratio values were in good agreement with bias estimates from existing methods. This platform potentially improves and simplifies assessment of biased agonism because the same assay modality is used to compare pathways (potentially in the same cells), the analysis method is parsimonious and intuitive, and kinetic context is factored into the bias measurement. Nature Publishing Group UK 2020-02-04 /pmc/articles/PMC7000712/ /pubmed/32019973 http://dx.doi.org/10.1038/s41598-020-58421-9 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hoare, Sam R. J.
Tewson, Paul H.
Quinn, Anne Marie
Hughes, Thomas E.
A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
title A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
title_full A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
title_fullStr A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
title_full_unstemmed A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
title_short A kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
title_sort kinetic method for measuring agonist efficacy and ligand bias using high resolution biosensors and a kinetic data analysis framework
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000712/
https://www.ncbi.nlm.nih.gov/pubmed/32019973
http://dx.doi.org/10.1038/s41598-020-58421-9
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