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Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy

Cardiac hypertrophy is a context-dependent phenomenon wherein a myriad of biochemical and biomechanical factors regulate myocardial growth through a complex large-scale signaling network. Although numerous studies have investigated hypertrophic signaling pathways, less is known about hypertrophy sig...

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Autores principales: Khalilimeybodi, Ali, Paap, Alexander M., Christiansen, Steven L. M., Saucerman, Jeffrey J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781532/
https://www.ncbi.nlm.nih.gov/pubmed/33338038
http://dx.doi.org/10.1371/journal.pcbi.1008490
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author Khalilimeybodi, Ali
Paap, Alexander M.
Christiansen, Steven L. M.
Saucerman, Jeffrey J.
author_facet Khalilimeybodi, Ali
Paap, Alexander M.
Christiansen, Steven L. M.
Saucerman, Jeffrey J.
author_sort Khalilimeybodi, Ali
collection PubMed
description Cardiac hypertrophy is a context-dependent phenomenon wherein a myriad of biochemical and biomechanical factors regulate myocardial growth through a complex large-scale signaling network. Although numerous studies have investigated hypertrophic signaling pathways, less is known about hypertrophy signaling as a whole network and how this network acts in a context-dependent manner. Here, we developed a systematic approach, CLASSED (Context-specific Logic-bASed Signaling nEtwork Development), to revise a large-scale signaling model based on context-specific data and identify main reactions and new crosstalks regulating context-specific response. CLASSED involves four sequential stages with an automated validation module as a core which builds a logic-based ODE model from the interaction graph and outputs the model validation percent. The context-specific model is developed by estimation of default parameters, classified qualitative validation, hybrid Morris-Sobol global sensitivity analysis, and discovery of missing context-dependent crosstalks. Applying this pipeline to our prior-knowledge hypertrophy network with context-specific data revealed key signaling reactions which distinctly regulate cell response to isoproterenol, phenylephrine, angiotensin II and stretch. Furthermore, with CLASSED we developed a context-specific model of β-adrenergic cardiac hypertrophy. The model predicted new crosstalks between calcium/calmodulin-dependent pathways and upstream signaling of Ras in the ISO-specific context. Experiments in cardiomyocytes validated the model’s predictions on the role of CaMKII-Gβγ and CaN-Gβγ interactions in mediating hypertrophic signals in ISO-specific context and revealed a difference in the phosphorylation magnitude and translocation of ERK1/2 between cardiac myocytes and fibroblasts. CLASSED is a systematic approach for developing context-specific large-scale signaling networks, yielding insights into new-found crosstalks in β-adrenergic cardiac hypertrophy.
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spelling pubmed-77815322021-01-07 Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy Khalilimeybodi, Ali Paap, Alexander M. Christiansen, Steven L. M. Saucerman, Jeffrey J. PLoS Comput Biol Research Article Cardiac hypertrophy is a context-dependent phenomenon wherein a myriad of biochemical and biomechanical factors regulate myocardial growth through a complex large-scale signaling network. Although numerous studies have investigated hypertrophic signaling pathways, less is known about hypertrophy signaling as a whole network and how this network acts in a context-dependent manner. Here, we developed a systematic approach, CLASSED (Context-specific Logic-bASed Signaling nEtwork Development), to revise a large-scale signaling model based on context-specific data and identify main reactions and new crosstalks regulating context-specific response. CLASSED involves four sequential stages with an automated validation module as a core which builds a logic-based ODE model from the interaction graph and outputs the model validation percent. The context-specific model is developed by estimation of default parameters, classified qualitative validation, hybrid Morris-Sobol global sensitivity analysis, and discovery of missing context-dependent crosstalks. Applying this pipeline to our prior-knowledge hypertrophy network with context-specific data revealed key signaling reactions which distinctly regulate cell response to isoproterenol, phenylephrine, angiotensin II and stretch. Furthermore, with CLASSED we developed a context-specific model of β-adrenergic cardiac hypertrophy. The model predicted new crosstalks between calcium/calmodulin-dependent pathways and upstream signaling of Ras in the ISO-specific context. Experiments in cardiomyocytes validated the model’s predictions on the role of CaMKII-Gβγ and CaN-Gβγ interactions in mediating hypertrophic signals in ISO-specific context and revealed a difference in the phosphorylation magnitude and translocation of ERK1/2 between cardiac myocytes and fibroblasts. CLASSED is a systematic approach for developing context-specific large-scale signaling networks, yielding insights into new-found crosstalks in β-adrenergic cardiac hypertrophy. Public Library of Science 2020-12-18 /pmc/articles/PMC7781532/ /pubmed/33338038 http://dx.doi.org/10.1371/journal.pcbi.1008490 Text en © 2020 Khalilimeybodi 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
Khalilimeybodi, Ali
Paap, Alexander M.
Christiansen, Steven L. M.
Saucerman, Jeffrey J.
Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
title Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
title_full Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
title_fullStr Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
title_full_unstemmed Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
title_short Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
title_sort context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781532/
https://www.ncbi.nlm.nih.gov/pubmed/33338038
http://dx.doi.org/10.1371/journal.pcbi.1008490
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