Fig. 1: GPX2 was identified as a biomarker for DGC based on single-cell data analysis. | Cell Death Discovery

Fig. 1: GPX2 was identified as a biomarker for DGC based on single-cell data analysis.

From: Targeting GPX2 to disrupt lipid homeostasis and enhance cisplatin sensitivity in diffuse gastric cancer

Fig. 1

A Single-cell transcriptomic analysis was conducted on DGC patients (n = 10) and normal controls (n = 5) utilizing datasets GSE183904 and GSE167297. UMAP analysis identified 39,950 high-quality cells, which were classified into seven distinct cell types. Scaled representation of cell types identified in both normal individuals and DGC patients. Dot plot illustrating representative marker genes for each cell type as delineated by UMAP. B UMAP visualization of gastric epithelial cells. C A proportional bar chart illustrates the distribution of malignant and non-malignant cells across five epithelial cell clusters. D Classification of epithelial cells into malignant and non-malignant groups was achieved using the CopyKAT algorithm, with subsequent visualization via UMAP. E Heatmap showcasing differential gene expression (avg_logFC ≥ 1, p < 0.05) between malignant and non-malignant gastric epithelial cells. F UMAP plot depicting the expression of GPX2 in non-malignant and malignant epithelial cells. G Pseudotime analysis tracing the evolution of GPX2 expression from non-malignant to malignant states.

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