Deciphering the molecular network of Trichostatin A in regulating Alzheimer’s disease screening of core genes and mechanistic investigation based on multidimensional bioinformatics and molecular simulation
Fig 8
Preprocessing and dimensionality reduction analysis of scRNA-seq data (GSE161045: 4 AD vs 4 controls) performed via Seurat.
(A). PCA plot of scRNA-seq samples, showing cell population separation between AD and Ctrl groups. (B). Quality control distribution plot (filtering criteria: ≥ 300 genes/cell, mitochondrial ratio <20%), ensuring high data quality for subsequent analysis, ensuring high data quality for subsequent analysis. (C). Scatter plot of gene average expression vs. normalized variance; 2500 highly variable genes are marked in red, providing the basis for cell clustering and annotation. (D). Heatmap of cluster-specific marker genes, showing the unique expression signature of each cell cluster. (E). UMAP plot of 22 cell clusters (resolution = 0.6, top 15 PCs), displaying the spatial distribution of brain cell populations.