Fig. 11 | Scientific Reports

Fig. 11

From: ​Identification of a novel m6A RNA methylation regulator-based signature for prognosis and immune landscape prediction in hepatocellular carcinoma

Fig. 11

​ Analysis of TIME in HCC with different levels of hub m6A regulators using scRNA-seq. The UMAP plots of single-cell clustering in the (A) LIHC-GSE140228-Smartseq2 and (D) LIHC-GSE98638-Smartseq2 datasets, where different colors represent different types of cells. The UMAP plots of the expression distribution of m6A regulators in different cells in the (B) LIHC-GSE140228-Smartseq2 and (E) LIHC-GSE98638-Smartseq2 datasets, where different colors represent expression abundance. The darker the color, the lower the expression of m6A regulators in the cell, and the brighter the color, the higher the expression of m6A regulators in the cell. The violin plots of the expression abundance of m6A regulators in different cells in the (C) LIHC-GSE140228-Smartseq2 and (F) LIHC-GSE98638-Smartseq2 datasets

Back to article page