Fig. 4

Single-cell sequencing analysis workflow of WT samples in GSE200256. (A, B) Quality control results showing filtering of unqualified droplets including doublets, dead cells, and empty droplets. (C) The variance plot shows the variation of genes expression in all cells of WT to identification of highly variable genes (HVGs). The red dots represent the top 2000 HVGs. (D) Visualization of batch effect removal between the AWT and FWT groups using the Harmony method, shown in a t-SNE map. (E) Cell clustering trees at different resolutions after principal component analysis (PCA). (F, G) 20 independent cell clusters (resolution = 1.0) were visualized using the Uniform Manifold Approximation and Projection (UMAP) and t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm.