Fig. 3: Key Genes mediating glioblastoma tumor microenvironment macrophage polarization identified by bioinformatics analysis. | Communications Biology

Fig. 3: Key Genes mediating glioblastoma tumor microenvironment macrophage polarization identified by bioinformatics analysis.

From: Loss of LAPTM4A inhibits M2 polarization of tumor-associated macrophages in glioblastoma, promoting immune activation and enhancing anti-PD1 therapy

Fig. 3

A Volcano plot of differentially expressed genes in macrophage subclusters in scRNA analysis, with low expression on the left and high expression on the right, Ctrol = 2, Tumor = 2; B WGCNA analysis of differentially expressed genes in GTEx and TCGA databases, heatmap showing the correlation between modules and Glioma in the dataset, each cell contains the corresponding correlation and P-value, Normal = 1152 (GTEx = 1147; TCGA = 5), Glioma = 704 (GBM = 170; LGG = 534); C Analysis of the correlation between module membership and gene importance; D LASSO analysis results, the x-axis represents log(λ) values, the y-axis represents Binomial Deviance, the top Supplementary Figure hows the number of cells retained when calculating with the corresponding log(λ) value, the dashed line represents the log(λ) value corresponding to the optimal Binomial Deviance and the number of cells retained; E Venn diagram of candidate genes from three datasets; F Differential expression of 4 core genes in single-cell RNA sequencing data between normal and tumor groups. The size of the dots represents the percentage of gene expression in each cell cluster (25%, 50%, 75%), while the shade of blue indicates the level of gene expression, with darker blue indicating higher expression; G Correlation analysis between the four core genes and 29 immune components; H Correlation analysis between the four core genes and the M2-type macrophage marker gene CD163.

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