Fig. 2

scRNA-seq profiles in Baoshan pig testes. (A) The workflow for scRNA-seq analysis. (B) The violin plots illustrate the distribution of single-cell RNA-seq quality control metrics. Correlation between the number of genes and single-molecule labels. (C) Correlation between nFeature_RNA and nCount_RNA. (D) Correlation between percent_mt and nCount_RNA. (E) The ElbowPlot determines the optimal number of principal components (PCs) to retain after principal component analysis (PCA) in dimensionality reduction workflows. (F) Heatmap displaying expression levels of the top five genes in each cluster, with columns representing clusters and rows representing genes. Color intensity indicates gene expression levels, with darker shades reflecting higher expression