Data for the article "Single-cell eQTL analysis identifies genetic variation underlying metabolic dysfunction-associated steatohepatitis"

This dataset contains data associated with the following article: Hong, S.E., Mun, S.J., Lee, Y.J. et al. Single-cell eQTL analysis identifies genetic variation underlying metabolic dysfunction-associated steatohepatitis. Nat Genet (2025). https://doi.org/10.1038/s41588-025-02237-8 This dataset includes following: Gene expression matrices per sample obtained from cellranger output Processed snRNA-seq data with cell-level and sample-level metadata in Seurat v4 format hdWGCNA results including harmonized module expression (hME) values for each single cell and module information Expression and covariate matrices used for sc-eQTL analysis Full summary statistics (including non-significant pairs) of sc-eQTLs (liver-eQTL, MASLD-eQTL, and control-eQTL) A table of significant liver-eQTLs and ieQTLs with comprehensive annotations A list of GWAS-colocalizing liver-eQTLs A list of 601 quartets composed of ieGenes, ieSNPs, interacting cell states, and transcription factors (TFs) Bulk RNA-seq data newly generated during revision Bulk RNA-seq counts matrix and differentially expressed gene list from hepatic organoids treated with EFHD1 siRNA Bulk RNA-seq counts matrix and differentially expressed gene list from hepatic organoids treated with FOXO1-specific inhibitor AS1842856 Bulk RNA-seq counts matrix and differentially expressed gene list from HeG2 treated with FOXO1-specific inhibitor AS1842856