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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: Decoding meningioma heterogeneity and neoplastic cell—macrophage interaction through single-cell transcriptome profiling across pathological grades

Fig. 4

Subclustering and pseudotime analysis of macrophages in meningiomas. A UMAP plot of 4795 macrophages, color-coded according to their associated clusters. Macrophages were re-clustered into five subclusters. Each point represents a single cell. B Macrophage subclusters were separated across different pathological types of meningiomas and showed similar distribution in samples with the same pathological type (M.r.tra1 and M.r.tra2). C Marker genes for each macrophage subcluster. Scaled color bar = average expression, size of the point = percent expressed. D Pseudotime analysis of macrophages. Scaled color bar represents the pseudotime (left). Distribution of macrophage pseudotime states (right). Each cell in the branched pseudotime trajectory was colored by its pseudotime value and its Seurat clusters. E Distribution of WHO grade II meningioma macrophages in pseudotime analysis, mainly in state1 and state3. F Grouped network of enriched GO terms for high-expression genes in cell fate 1. G Heatmap of high-expression genes for different cell fates in pseudotime analysis. Scaled color bar indicates the average expression. The high-expression gene set for cell fate 1 is predominantly located on the left side of the heatmap, while that for cell fate 2 is concentrated on the right side. H Distribution of WHO grade I meningioma macrophages in pseudotime analysis, mainly in state1 and state2. I Grouped network of enriched GO terms for high-expression genes in cell fate 2

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