HyperGraph - Computational integration of molecular interactions to elucidate metabolic mechanisms of muscle hypertrophy and atrophy

Maintenance of skeletal muscle mass is crucial for metabolic and overall health. However, the mechanisms by which muscle hypertrophy or atrophy affect metabolic health are not yet fully understood. The overall aim of the HyperMet consortium is to use advanced methods of metabolic research to study how hypertrophying and atrophying muscles reprogram their intracellular metabolism, how this affects metabolite exchange with the circulation, interorgan metabolism, and health. When studying this, projects P01-07 and S08 will generate large datasets, e.g., through arteriovenous metabolomics or metabolic flux analyses, that must be assembled, statistically analyzed, visualized, combined, and contextualized to understand how the gain and loss of muscle biomass affect metabolism and health. To address this, the HyperGraph project will develop and utilize advanced computational tools for analyzing and integrating metabolite and metabolic flux measurements with data from proteomics, transcriptomics, and genomics. Ultimately, the goal of HyperGraph is to assist the consortium in the analysis and combined interpretation of the extensive and intricate (omics) data generated across the various projects.