Fig. 5: Distinct epithelial–stromal immune cell crosstalk and ligand–receptor interaction.
From: Single-cell profiling of the human endometrium in polycystic ovary syndrome
Dotplots of genes encoding ligands and receptors of CellChat-predicted interactions and signaling pathways in different cell subpopulations. a, The ligand dotplots refering to signaling pathways annotated as ECM–receptor interaction or associated secreted signaling. The dashed and filled lines indicate which ligand–receptor pars interact on the y axis. The colors are explained in the pathway legend. The dashed boxes indicate DEGs (MAST model in Seurat) and cell subpopulations on the x axis. All dots are scaled on the average log(transformed) expression indicated by the color and the size of the dot shows the percentage of cells expressing the gene. b, Dotplot of genes encoding ligand–receptor pairs annotated as cell adhesion molecules by CellChat. c, Illustration of selected cell subpopulation and specific receptors and ligands. The arrows indicate whether the encoding genes are up- or downregulated in PCOS. d, Heatmap of genes encoding ligands and receptors that are reversed after metformin or lifestyle treatment compared with PCOS. The colored bars on the side of the heatmap indicate to which cell subpopulations the genes belong. The colors of the blocks in the heatmap represent the z-score, that is, a scaled average of log(transformed) gene expression. e, Spatial distribution and gene expression of selected interacting ligand and receptor genes from the CellChat analysis in Fig. 6a,b. The color bar indicates the coexpression level of the genes. Schematic in c created using BioRender.com.
