Fig. 1: Single-cell expression atlas of HCC. | npj Precision Oncology

Fig. 1: Single-cell expression atlas of HCC.

From: Machine learning-driven comprehensive profiling of tumor heterogeneity and sialylation in hepatocellular carcinoma

Fig. 1

A, B UMAP plots showing the clustering of single cells from HCC tumors into eight distinct cell types: hepatocytes, fibroblasts, endothelial cells, T/NK cells, B cells, plasma cells, myeloid cells, and MAST cells. C Proportion of different cell types across the G1, S, and G2M phases of the cell cycle. D Proportion of cell types across early and advanced tumor stages. E, F Expression of cell type-specific markers in each cluster shown in bubble plots and UMAP plots. G Distribution of cell cycle scores and RNA metrics across different cell types. H KEGG enrichment analysis for cell type-specific markers.

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