SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment

We report a method for analyzing spatial metabolomics at single cell level. In human fibrotic liver samples, we identified a novel hepatocyte subpopulation via SEAM and spatial transcriptomics using modified protocol of Geo-sea. For Geo-seq, we generated cDNA libraries from Hepa69-high (Proximal), Hepa69-low (Distal) and Fibrotic (FB) regions. The differential gene expression analysis between Hepa69-high and Hepa69-low indicates that genes from solute carrier transporter families were elevated in Hepa69-high group. Selected regions corresponding to three subpopulations (Hepa69-high (Proximal), Hepa69-low (Distal) and Fibrotic regions.) identified by SEAM were collected for Geo-seq.