Research Paper Volume 16, Issue 10 pp 8772—8809
Prediction of prognosis and immunotherapy efficacy based on metabolic landscape in lung adenocarcinoma by bulk, single-cell RNA sequencing and Mendelian randomization analyses
Figure 13. Effect of C1QTNF6 on infiltrating immune cells of TME. (A) The heatmap of 7 genes expression in different cells by scRNA-seq. (B) The differences of C1QTNF6 expression among pan-immune cells, endothelial cells, fibroblasts and malignant cells. (C) The heatmap of C1QTNF6 expression in TME cells by multiple scRNA-seq datasets. The correlation of C1QTNF6 expression in fibroblasts and immune cells infiltration (memory CD8+ T cell (D), NK cell (E), M2 macrophages (F, G), Treg cell (H), fibroblast (I)). (J) qRT-PCR was performed to detect the efficiency of C1QTNF6-siRNA transfection. (K) M0 macrophages were stimulated by conditional medium from MRC-5 cells with C1QTNF6 silencing for 48h. qRT-PCR was performed to detect the expression of PD-L1, M1 and M2 markers. (L) Representatives and summary of M2 macrophage migration assays induced with MRC-5 cells with or without C1QTNF6 silencing. The data were presented as the mean±SD; n = 3. *P < 0.05, **P < 0.01, ***P < 0.001.