Fig. 4 | Scientific Reports

Fig. 4

From: A machine learning model and molecular clusters of epigenetic chromatin regulators in tuberculosis based on bioinformatics and clinical samples

Fig. 4

Differential analysis of CR expression and immune infiltration between the two molecular clusters.(A) Expression levels of the 15 DE-CRs in Clusters 1 and 2. Cluster 2 exhibits significantly upregulated expression of most pro-inflammatory/stress-related CRs (IFIT3 and *GADD45B/G*), while SETD6 and TLE2 are downregulated. (B) Heatmap displaying the relative abundance of 22 immune cell types in the two clusters, exhibiting distinct immune microenvironment landscapes. (C) Box plots comparing the infiltration levels of key immune cell populations between clusters. Cluster 2 is enriched for innate immune cells (monocytes, macrophages, and neutrophils), whereas Cluster 1 exhibits higher levels of T cell subsets (CD8 + T cells and resting memory CD4 + T cells).

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