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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7781532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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