Fig. 1: Single-cell Landscape Analysis of Glioblastoma based on Single-cell Sequencing.

A Workflow of single-cell analysis in GL261 tumor cells to construct glioblastoma mouse models; B t-SNE clustering plot after batch effect removal; C t-SNE clustering plot with annotated cell types after batch effect removal. Cluster annotations: microglia, monocytes, macrophages, dendritic cells, natural killer cells, neutrophils, T cells; D Bubble heatmap showing expression of cell type markers in cell clusters. Bubble size indicates the percentage of cells expressing the markers, and their relative expression levels are color-coded; E Distribution of different cell types in normal and tumor samples; F Bar plot showing the overall cell composition in normal and tumor samples, color-coded by cell type; G t-SNE clustering plot showing the proportions of individual cell types in normal and tumor samples; H Circular plots showing the number or strength of cell communications, with line thickness representing the number of pathways; I Heatmap showing differential cell communications regarding the number or strength. The top color bar represents the sum of column values (incoming signals) displayed in the heatmap, and the right color bar represents the sum of row values (outgoing signals). In the color bar, red (or blue) represents increased (or decreased) signaling in the glioblastoma group compared to the HC group; J Circular plots showing cell communications in normal and glioblastoma samples, with line thickness representing the number of pathways; K Comparison of intercellular communication networks between normal and glioblastoma samples; L associated interactions with TAMs in normal and glioblastoma samples.