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Quantitative Modeling of GRK-Mediated β2AR Regulation
We developed a unified model of the GRK-mediated β2 adrenergic receptor (β2AR) regulation that simultaneously accounts for six different biochemical measurements of the system obtained over a wide range of agonist concentrations. Using a single deterministic model we accounted for (1) GRK phosphoryl...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798957/ https://www.ncbi.nlm.nih.gov/pubmed/20098494 http://dx.doi.org/10.1371/journal.pcbi.1000647 |
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author | Vayttaden, Sharat J. Friedman, Jacqueline Tran, Tuan M. Rich, Thomas C. Dessauer, Carmen W. Clark, Richard B. |
author_facet | Vayttaden, Sharat J. Friedman, Jacqueline Tran, Tuan M. Rich, Thomas C. Dessauer, Carmen W. Clark, Richard B. |
author_sort | Vayttaden, Sharat J. |
collection | PubMed |
description | We developed a unified model of the GRK-mediated β2 adrenergic receptor (β2AR) regulation that simultaneously accounts for six different biochemical measurements of the system obtained over a wide range of agonist concentrations. Using a single deterministic model we accounted for (1) GRK phosphorylation in response to various full and partial agonists; (2) dephosphorylation of the GRK site on the β2AR; (3) β2AR internalization; (4) recycling of the β2AR post isoproterenol treatment; (5) β2AR desensitization; and (6) β2AR resensitization. Simulations of our model show that plasma membrane dephosphorylation and recycling of the phosphorylated receptor are necessary to adequately account for the measured dephosphorylation kinetics. We further used the model to predict the consequences of (1) modifying rates such as GRK phosphorylation of the receptor, arrestin binding and dissociation from the receptor, and receptor dephosphorylation that should reflect effects of knockdowns and overexpressions of these components; and (2) varying concentration and frequency of agonist stimulation “seen” by the β2AR to better mimic hormonal, neurophysiological and pharmacological stimulations of the β2AR. Exploring the consequences of rapid pulsatile agonist stimulation, we found that although resensitization was rapid, the β2AR system retained the memory of the previous stimuli and desensitized faster and much more strongly in response to subsequent stimuli. The latent memory that we predict is due to slower membrane dephosphorylation, which allows for progressive accumulation of phosphorylated receptor on the surface. This primes the receptor for faster arrestin binding on subsequent agonist activation leading to a greater extent of desensitization. In summary, the model is unique in accounting for the behavior of the β2AR system across multiple types of biochemical measurements using a single set of experimentally constrained parameters. It also provides insight into how the signaling machinery can retain memory of prior stimulation long after near complete resensitization has been achieved. |
format | Text |
id | pubmed-2798957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27989572010-01-22 Quantitative Modeling of GRK-Mediated β2AR Regulation Vayttaden, Sharat J. Friedman, Jacqueline Tran, Tuan M. Rich, Thomas C. Dessauer, Carmen W. Clark, Richard B. PLoS Comput Biol Research Article We developed a unified model of the GRK-mediated β2 adrenergic receptor (β2AR) regulation that simultaneously accounts for six different biochemical measurements of the system obtained over a wide range of agonist concentrations. Using a single deterministic model we accounted for (1) GRK phosphorylation in response to various full and partial agonists; (2) dephosphorylation of the GRK site on the β2AR; (3) β2AR internalization; (4) recycling of the β2AR post isoproterenol treatment; (5) β2AR desensitization; and (6) β2AR resensitization. Simulations of our model show that plasma membrane dephosphorylation and recycling of the phosphorylated receptor are necessary to adequately account for the measured dephosphorylation kinetics. We further used the model to predict the consequences of (1) modifying rates such as GRK phosphorylation of the receptor, arrestin binding and dissociation from the receptor, and receptor dephosphorylation that should reflect effects of knockdowns and overexpressions of these components; and (2) varying concentration and frequency of agonist stimulation “seen” by the β2AR to better mimic hormonal, neurophysiological and pharmacological stimulations of the β2AR. Exploring the consequences of rapid pulsatile agonist stimulation, we found that although resensitization was rapid, the β2AR system retained the memory of the previous stimuli and desensitized faster and much more strongly in response to subsequent stimuli. The latent memory that we predict is due to slower membrane dephosphorylation, which allows for progressive accumulation of phosphorylated receptor on the surface. This primes the receptor for faster arrestin binding on subsequent agonist activation leading to a greater extent of desensitization. In summary, the model is unique in accounting for the behavior of the β2AR system across multiple types of biochemical measurements using a single set of experimentally constrained parameters. It also provides insight into how the signaling machinery can retain memory of prior stimulation long after near complete resensitization has been achieved. Public Library of Science 2010-01-22 /pmc/articles/PMC2798957/ /pubmed/20098494 http://dx.doi.org/10.1371/journal.pcbi.1000647 Text en Vayttaden et al. 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 Vayttaden, Sharat J. Friedman, Jacqueline Tran, Tuan M. Rich, Thomas C. Dessauer, Carmen W. Clark, Richard B. Quantitative Modeling of GRK-Mediated β2AR Regulation |
title | Quantitative Modeling of GRK-Mediated β2AR Regulation |
title_full | Quantitative Modeling of GRK-Mediated β2AR Regulation |
title_fullStr | Quantitative Modeling of GRK-Mediated β2AR Regulation |
title_full_unstemmed | Quantitative Modeling of GRK-Mediated β2AR Regulation |
title_short | Quantitative Modeling of GRK-Mediated β2AR Regulation |
title_sort | quantitative modeling of grk-mediated β2ar regulation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798957/ https://www.ncbi.nlm.nih.gov/pubmed/20098494 http://dx.doi.org/10.1371/journal.pcbi.1000647 |
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