Fig. 2
Single-cell analysis of BD patient samples from GSE198616. (A) UMAP visualization of reduced dimensionality and cluster analysis, with cells classified into nine major cell populations based on marker gene expression. (B) Comparative bar chart showing cell type proportions in BD patients versus healthy controls (HC), demonstrating significant increases in monocytes and decreases in B cells and CD8 + T cells in BD. (C) Dotplot visualization of key marker genes used for cell type annotation, with dot size representing percentage of cells expressing the gene and color intensity indicating expression level. (D) scDist analysis showing the perturbation magnitude of different cell types from healthy state to BD state, with monocytes exhibiting the highest perturbation score. (E) Pseudotime trajectory analysis of immune cells in BD, with differentiation development order. For monocle method, the order was indicated by color gradient (darker blue to lighter blue) and directional arrows. For slingshot, the lines and arrows suggested the direction. Monocytes appear at the earliest pseudotime point. (F) Scissor analysis integrating single-cell data with bulk RNA-seq dataset GSE198533, showing cells positively correlated with BD phenotype (red), negatively correlated (blue), or not significantly associated (gray). (G and H) Cell-cell communication network analysis showing interaction strength (G) and specific signaling pathways (H) among different cell types, with BAFF, cholesterol, SEMA4, and PECAM pathways most strongly activated in monocytes.
