ArticlePLoS computational biology2020
Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
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- AI-based Predictive Signaling Pathway Profiling in Cardiac Fibrosis Suggests a Novel Combinatorial Treatment Strategy.bioRxiv : the preprint server for biology · 2025Article
- Distinct morphometric features of cardiomyocytes isolated from mouse hypertrophy models: An ImageJ analysis combined with machine learning algorithms.Physiological reports · 2025Article
- Logic-based modeling of biological networks with Netflux.PLoS computational biology · 2025Article
- Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: A Bayesian analysis using logic-based network models.PLoS computational biology · 2025Article
- Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Multiscale homogenized constrained mixture model of the bio-chemo-mechanics of soft tissue growth and remodeling.Biomechanics and modeling in mechanobiology · 2024Article
- Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models.The Journal of physiology · 2024Article
- Modeling cardiomyocyte signaling and metabolism predicts genotype-to-phenotype mechanisms in hypertrophic cardiomyopathy.Computers in biology and medicine · 2024Article
- Multiscale computational model of aortic remodeling following postnatal disruption of TGFβ signaling.Journal of biomechanics · 2024Article
- Virtual drug screen reveals context-dependent inhibition of cardiomyocyte hypertrophy.British journal of pharmacology · 2023Article
- Mechanisms underlying divergent relationships between CaThe Journal of physiology · 2023Article
- Signaling network model of cardiomyocyte morphological changes in familial cardiomyopathy.Journal of molecular and cellular cardiology · 2023Article
- Computational model of brain endothelial cell signaling pathways predicts therapeutic targets for cerebral pathologies.Journal of molecular and cellular cardiology · 2022Article
- Emerging therapeutic targets for cardiac hypertrophy.Expert opinion on therapeutic targets · 2022Review
- Computational model of cardiomyocyte apoptosis identifies mechanisms of tyrosine kinase inhibitor-induced cardiotoxicity.Journal of molecular and cellular cardiology · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.