Figure 5 | Scientific Reports

Figure 5

From: Multi-cohort analysis reveals immune subtypes and predictive biomarkers in tuberculosis

Figure 5

Utilizing single-cell investigation to unravel the intrinsic mechanisms underlying the three subgroups of PTB patients. (A) Uniform manifold approximation and projection (UMAP) visualization depicting the single-cell atlas of lung tissue from patients with fibrotic pulmonary tuberculosis. Different colors represent annotated cell types, with annotation information derived from corresponding literature reports; points represent individual cells. (B) Bubble plots display the average expression and positive expression proportion of the top five signature genes expressed in each cell type. Point color indicates expression level, and point size represents the percentage of expression of the gene in a specific cell type. (C) UMAP visualization displays the distribution of cell types in three different subtypes of PTB predicted by a neural network model. (D) Violin plots show the distribution of Cytokine signaling signature scores inferred from single-cell samples in different subgroups. (E) Box plots display the distribution of different cell types across the three predicted subtypes of PTB in single-cell samples; the black line within the box represents the median cell proportion, and points outside the box represent outlier samples. (F) Network diagrams illustrate the interactions between different cell types; the thickness of the lines indicates the strength of interaction between cell types. Red indicates enhancement of C3 relative to C1 & 2, while blue indicates weaker interaction. (G) Bubble plots demonstrate significant ligand-receptor interactions between Macrophages and B cells, T Cells, Monocytes, and cDCs. Points represent significant ligand-receptor interactions, with point color indicating the significance level of the interaction. (H) Violin plots depict the signature score of MHC molecules among three distinct subgroups of PTB.

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