Fig. 1 | Scientific Reports

Fig. 1

From: Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma

Fig. 1

Certain cell subsets of ccRCC correlated with metabolic passway and survival. (A) UMAP showing cells from all scRNA-seq samples. (B) Volcano plot of DEGs between different cell types. The top 5 genes with upregulated and downregulated were displayed. (C) KEGG pathway enrichment analysis of DEGs in malignant cells. (D) GSEA analysis of META_process gene set in DEGs. (E) AUCell values of all cells from ccRCC samples. Cells that had AUCell values of more than 0.12 were classified as META_active cells. (F) UMAP showing all cells based on the AUCell values. (G) Relative abundance of different cell proportions by gene expression deconvolution in each sample from high and low META_active cell composition. (H) KM analysis for survival probability of the two META_active cell proportion groups in TCGA-KIRC cohort.

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