MASH-GA: a manually curated cross-species transcriptomic database for metabolic-associated steatohepatitis

Metabolic dysfunction-associated steatohepatitis (MASH), formerly called NASH, is a progressive form of fatty liver disease closely linked to metabolic dysregulation. It has become a leading cause of liver failure and liver transplantation worldwide. Despite its growing clinical significance, there is currently no centralized, publicly accessible, cross-cohort and cross-species transcriptomic database specifically dedicated to MASH. To address this gap, we developed MASH-GA (MASH-Genomic Atlas; https://mashga.com), the first and only database in the fatty liver research field that systematically integrates transcriptomic data across human cohorts and mouse models. MASH-GA contains 45 human transcriptomic datasets (2740 samples) from 17 countries and 126 mouse datasets (1950 samples) covering major MASH models. The platform provides a range of unique features, including integrated weighted gene coexpression network analysis (WGCNA), cross-model classification and comparison of mouse datasets, multigene correlation analysis and pairwise coexpression exploration, and interactive visualizations (e.g. boxplots and correlation plots). Human and mouse data are presented in separate, intuitively navigable modules. As the only standardized, multicohort, cross-species MASH transcriptomic database currently available, MASH-GA enables reproducible data exploration, informed model selection, and the identification of regulatory modules. It is therefore a valuable resource for researchers in hepatology, metabolic disease, and systems biology. Database URL:  https://mashga.com.