A Novel Network Approach to Identify Sample-Specific Context-Informed Metabolic Signatures During Developmental Processes (opens in new tab)

ABSTRACT Metabolism plays an essential role in cellular processes: development, growth, differentiation, and determination of cell identity. Understanding how metabolic processes dynamically change across cell types, stages, and environmental conditions is crucial for studying developmental biology, aging, and disease progression. Genome-wide metabolic models (GEMs) are a powerful network-based tool for studying these processes by integrating omics data to model context-specific metabolism. H...