Additional file 6 of Decoding meningioma heterogeneity and neoplastic cell—macrophage interaction through single-cell transcriptome profiling across pathological grades

Additional file 6 Figure S6. Subclustering and pseudotime analysis of macrophages in a public dataset. A The subclustering of macrophages in a public dataset into 10 subclusters. Each point represents a cell, color-coded by their associated cluster. B The separation of macrophage clustering in the public dataset, showing similarity in macrophage distribution between tissues from the same sample (e.g. MSC5 and MSC5_BTI; MSC6 and MSC6_BTI). C The marker gene expression of macrophage subclusters in the public dataset. Scaled color bar represents the average expression, and size of the point represents the percentage expressed. D Pseudotime analysis of macrophages in the public dataset. The pseudotime trajectory is shown on the left with color-coded pseudotime values, and the distribution of macrophages in pseudotime states is shown on the right. Each cell in the branched pseudotime trajectory was colored by its pseudotime value and its states. E. Distribution of early pseudotime macrophages in the public dataset, mainly located in state1 and state5.F GO enrichment analysis results of highly expressed genes in early pseudotime macrophages, showing a grouping network.G Heatmap of highly expressed genes in different cell fates during pseudotime analysis. Scaled color bar represents the average expression. Highly expressed genes in the early pseudotime period are concentrated on the left, while highly expressed genes in the late pseudotime period are concentrated on the right. H Distribution of late pseudotime macrophages in the public dataset, mainly located in state3 and state4. I GO enrichment analysis results of highly expressed genes in late pseudotime macrophages, showing a grouping network.