Fig. 4

Identification of distinct cell types of the mouse cervix epithelium by single-cell RNA sequencing. a 7 distinct cell clusters from 10x Genomics scRNA-seq analysis visualized by UMAP. Each dot represents a single cell. Colors and numbers indicate clusters, and cell-type names are indicated with their corresponding clusters. b Violin plots showing the expression levels of representative marker genes across the 7 clusters. The y axis shows the log-scale normalized read count. c Heatmap of the top-ranked genes highly expressed in each cluster. Color scheme is based on z-score distribution from − 2 (purple) to 2 (yellow). d UMAP plot showing the cell cycle status of each cell. e Pseudo-time trajectory projected onto a UMAP of cervical epithelial cells. Left, distinct cell clusters are coded by different colors; Right, pseudo-time values are color-coded. f Cell density of cervical epithelial cell clusters inferred cellular trajectory reflecting cervical epithelial cell differentiation. Cells are ordered by pseudo-time as computed by reversed graph embedding approach of Monocle3. g Schematic shows the putative differentiation paths from CVSCs to columnar cells or squamous cells predicted by the pseudo-time analysis