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