Figure 3.

Identification of transcriptomic changes in specific monocyte subsets of SAP by transcriptome analysis of scRNA-seq. (A) UMAP visualization of transcriptional heterogeneity in human monocytes. Monocytes are further categorized into five subsets, with their respective names provided at the bottom of the graph. Different colors are employed to differentiate between each cluster, with dashed circles indicating the primary cell types. (B) Comparison of SAP dataset and healthy control dataset using UMAP embedded graphs. (C) Visualization of monocyte clusters in SAP patients and healthy controls using the UMAP downscaling approach. (D) Dot plot demonstrates the expression percentage and expression levels of DEGs across various monocyte clusters. (E) Volcano plots illustrate the DEGs identified in the Mono_c04_PF4_PPBP cluster, with upregulated genes marked in red and downregulated genes in blue. (F, G) Main enriched GO and KEGG pathways for significant DEGs in the Mono_c04_PF4_PPBP cluster using cluster Profiler. (H) Violin plot depicts the expression patterns of DEGs within the Mono_c04_PF4_PPBP cluster in SAP patients and healthy controls. (I) Flow cytometry validation was performed by stacked plots for the CCL3⁺/CD14⁺ monocyte subset and the CCL5⁺/CD14⁺ monocyte subset in both SAP and healthy control sample. Control: healthy controls, SAP: severe acute pancreatitis.