Fig. 6: Steady and disease-state human mesothelial cell atlases.

a UMAP embedding of human mesothelial single cells in the steady-state atlas. Nine clusters identified through graph-based clustering are indicated by color. b UMAP highlighting the expression levels of the different identified markers for each cluster. c Hierarchical clustering of the different mesothelial cells, depending on the tissue of origin, showing the cellular progenitors of the mesothelial cells in different tissues. d Cross-species analysis of the corresponding identified human and mouse mesothelial cell clusters in health. e UMAP of the identified human lung mesothelial cells in health and disease, color coded for the annotation of the healthy state (COX1+ and PTMA+) and disease (IPF, ILD-Covid and Smoker-Adenocarcinoma). f Heat maps of the relative average expression of the most highly enriched genes for each cluster in disease-state human lung mesothelial atlas (log(fold change) of one cluster versus all others. g Riverplot comparing the identified human lung clusters to the mouse newly identified clusters using scArches. h UMAPs and immunostainings of the different human mesothelial healthy and disease markers co-labeled with the mesothelial marker Gpm6a as indicated. On the right-hand side, the quantification of the different immunostaining. N = 6 biological replicates and three independent experiments. Data are presented as mean values ± SEM. Scale bar is 200 µm. Source data are provided as a Source Data file.