Fig. 7 | Scientific Reports

Fig. 7

From: Identification of palmitoylated biomarkers in non-alcoholic fatty liver disease via integrated bioinformatics analysis and machine learning

Fig. 7

The single-cell characteristics of PRHGs. (A) UMAP plot of cell type annotation using the “SingleR” package. Density of TYMS: (B), WNT5A: (C), ZFP36: (D) Gene Expression. (E) Density of Co-expressed TYMS, WNT5A, and ZFP36 Genes. (F) The UMAP plot categorizes cells into two groups based on their signature-specific scores derived from the expression of PRHGs. (G) The results of GSEA performed using the c2.cp.v2024.1.Hs.symbols.gmt gene set collection. (H) The results of GSEA performed using the c5.go.v2024.1.Hs.symbols.gmt gene set collection. (I) Identifying distinct signal pathways in varying PRHGs score groups. (J–L) The signaling pathway networks for MIF (J), APP (K), and COLLAGEN (L) pathways, with heatmaps showing cell type involvement.

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