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

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

SUBMITTER: Khalilimeybodi A 

PROVIDER: S-EPMC7781532 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature