Resultados de investigación

Additional file 8: Supplementary Figure S8. Immune cell characterisation and correlation with METTL1 expression in human PCa. A) Complete cytokine array analysis of PC3 METTL1 KO compared to WT cells’ c.m. shows differential expression of inflammatory cytokines. Mean ± SD of log2 fold change, n = 4. B) tSNE analysis of the expression markers of M1-, M2-like and Mø macrophages exposed to PC3 METTL1 KO and WT cells’ c.m. of a second biological replicate (KO2 and WT2). C) Phagocytic capacity of macrophages exposed to PC3 METTL1 KO and WT cells’ c.m. Mean ± SEM, n = 3. D) Polarisation of primary peripheral blood monocytes (PMBCs) exposed to PC3 METTL1 KO and WT cells’ c.m. The upper panel shows a schematic of the workflow used. The lower panels show the quantification of the percentage of positive cells. n = 3 technical replicates of 2 biological replicates. E) Activation of T cells from a second blood donor and co-culture with macrophages exposed to PC3 WT and METTL1 KO cells’ c.m. T cells were stained with CFSE on day 0 and measured on day 3. Means ± SD, n = 3 for two biological replicates. F) Representative immunohistochemical staining for METTL1 and CD86 (M1-like macrophages), CD163 (M2-likemacrophages), and CD8 T cells in human PCa biopsies. The scale bar represents 50 μm. G, H) METTL1 mRNA expression inversely correlates with M1-like macrophage infiltration using the CIBERSORT deconvolution algorithm with TCGA and Taylor datasets (G), and TAM infiltration analysed using TIMER (H). Statistical tests: One-tailed t-test: *p < 0.05, **p < 0.01, ***p < 0.001 (D, E), Pearson’s correlation (r), p-value (pV), and linear regression with 95% confidence (bands) are shown (G, H)., Consejo Superior de Investigaciones Científicas (España), Peer reviewed