Research Paper Volume 16, Issue 6 pp 5676—5702
Identification and validation of a novel signature based on macrophage marker genes for predicting prognosis and drug response in kidney renal clear cell carcinoma by integrated analysis of single cell and bulk RNA sequencing
Figure 1. Identification of MMGs via scRNA-seq analysis. (A) Quality control of scRNA-seq data from four KIRC samples. (B) The variance plot shows that there are 13,799 genes in all cells, with the red dots representing the top 1,500 highly variable genes. (C) Dimensionality reduction was performed by PCA. (D) 15 PCs were identified based on a P-value < 0.05. (E) All cells were categorized into 14 clusters using the t-SNE algorithm. (F) The heatmap showed the top 10 most highly expressed genes in the 14 clusters. (G) Annotation of each cell cluster by marker genes. (H) Expression of known macrophage marker genes (CD68, APOE, CD14, and TREM2) in 14 cell clusters.