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A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation

Subcellular compartmentation of the ubiquitous second messenger cAMP has been widely proposed as a mechanism to explain unique receptor-dependent functional responses. How exactly compartmentation is achieved, however, has remained a mystery for more than 40 years. In this study, we developed comput...

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Autores principales: Yang, Pei-Chi, Boras, Britton W., Jeng, Mao-Tsuen, Docken, Steffen S., Lewis, Timothy J., McCulloch, Andrew D., Harvey, Robert D., Clancy, Colleen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943723/
https://www.ncbi.nlm.nih.gov/pubmed/27409243
http://dx.doi.org/10.1371/journal.pcbi.1005005
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author Yang, Pei-Chi
Boras, Britton W.
Jeng, Mao-Tsuen
Docken, Steffen S.
Lewis, Timothy J.
McCulloch, Andrew D.
Harvey, Robert D.
Clancy, Colleen E.
author_facet Yang, Pei-Chi
Boras, Britton W.
Jeng, Mao-Tsuen
Docken, Steffen S.
Lewis, Timothy J.
McCulloch, Andrew D.
Harvey, Robert D.
Clancy, Colleen E.
author_sort Yang, Pei-Chi
collection PubMed
description Subcellular compartmentation of the ubiquitous second messenger cAMP has been widely proposed as a mechanism to explain unique receptor-dependent functional responses. How exactly compartmentation is achieved, however, has remained a mystery for more than 40 years. In this study, we developed computational and mathematical models to represent a subcellular sarcomeric space in a cardiac myocyte with varying detail. We then used these models to predict the contributions of various mechanisms that establish subcellular cAMP microdomains. We used the models to test the hypothesis that phosphodiesterases act as functional barriers to diffusion, creating discrete cAMP signaling domains. We also used the models to predict the effect of a range of experimentally measured diffusion rates on cAMP compartmentation. Finally, we modeled the anatomical structures in a cardiac myocyte diad, to predict the effects of anatomical diffusion barriers on cAMP compartmentation. When we incorporated experimentally informed model parameters to reconstruct an in silico subcellular sarcomeric space with spatially distinct cAMP production sites linked to caveloar domains, the models predict that under realistic conditions phosphodiesterases alone were insufficient to generate significant cAMP gradients. This prediction persisted even when combined with slow cAMP diffusion. When we additionally considered the effects of anatomic barriers to diffusion that are expected in the cardiac myocyte dyadic space, cAMP compartmentation did occur, but only when diffusion was slow. Our model simulations suggest that additional mechanisms likely contribute to cAMP gradients occurring in submicroscopic domains. The difference between the physiological and pathological effects resulting from the production of cAMP may be a function of appropriate compartmentation of cAMP signaling. Therefore, understanding the contribution of factors that are responsible for coordinating the spatial and temporal distribution of cAMP at the subcellular level could be important for developing new strategies for the prevention or treatment of unfavorable responses associated with different disease states.
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spelling pubmed-49437232016-08-01 A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation Yang, Pei-Chi Boras, Britton W. Jeng, Mao-Tsuen Docken, Steffen S. Lewis, Timothy J. McCulloch, Andrew D. Harvey, Robert D. Clancy, Colleen E. PLoS Comput Biol Research Article Subcellular compartmentation of the ubiquitous second messenger cAMP has been widely proposed as a mechanism to explain unique receptor-dependent functional responses. How exactly compartmentation is achieved, however, has remained a mystery for more than 40 years. In this study, we developed computational and mathematical models to represent a subcellular sarcomeric space in a cardiac myocyte with varying detail. We then used these models to predict the contributions of various mechanisms that establish subcellular cAMP microdomains. We used the models to test the hypothesis that phosphodiesterases act as functional barriers to diffusion, creating discrete cAMP signaling domains. We also used the models to predict the effect of a range of experimentally measured diffusion rates on cAMP compartmentation. Finally, we modeled the anatomical structures in a cardiac myocyte diad, to predict the effects of anatomical diffusion barriers on cAMP compartmentation. When we incorporated experimentally informed model parameters to reconstruct an in silico subcellular sarcomeric space with spatially distinct cAMP production sites linked to caveloar domains, the models predict that under realistic conditions phosphodiesterases alone were insufficient to generate significant cAMP gradients. This prediction persisted even when combined with slow cAMP diffusion. When we additionally considered the effects of anatomic barriers to diffusion that are expected in the cardiac myocyte dyadic space, cAMP compartmentation did occur, but only when diffusion was slow. Our model simulations suggest that additional mechanisms likely contribute to cAMP gradients occurring in submicroscopic domains. The difference between the physiological and pathological effects resulting from the production of cAMP may be a function of appropriate compartmentation of cAMP signaling. Therefore, understanding the contribution of factors that are responsible for coordinating the spatial and temporal distribution of cAMP at the subcellular level could be important for developing new strategies for the prevention or treatment of unfavorable responses associated with different disease states. Public Library of Science 2016-07-13 /pmc/articles/PMC4943723/ /pubmed/27409243 http://dx.doi.org/10.1371/journal.pcbi.1005005 Text en © 2016 Yang 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Pei-Chi
Boras, Britton W.
Jeng, Mao-Tsuen
Docken, Steffen S.
Lewis, Timothy J.
McCulloch, Andrew D.
Harvey, Robert D.
Clancy, Colleen E.
A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation
title A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation
title_full A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation
title_fullStr A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation
title_full_unstemmed A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation
title_short A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation
title_sort computational modeling and simulation approach to investigate mechanisms of subcellular camp compartmentation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943723/
https://www.ncbi.nlm.nih.gov/pubmed/27409243
http://dx.doi.org/10.1371/journal.pcbi.1005005
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