Research Paper Volume 15, Issue 15 pp 7741—7759

Figure 9. scRNA-seq data analysis. (A) The t-SNE algorithm divided the cells into 14 clusters by 20 principal components. (B) The tSNE plot revealing 14 clusters was annotated into 11 different cell types. (C) The t-SNE algorithm divided Epithelial cells into 6 sub-clusters. (D) The expression of 5 candidate DRGs in 11 cell types, (E) in 6 Epithelial cells sub-clusters. (F) The trajectory analysis of Epithelial cells with top 10 marker genes. (G) 5 candidate DRGs expression in different developmental states. Abbreviations: ScRNA-seq: Single-cell RNA sequencing; t-SNE: t-Stochastic Neighbor Embedding.