Fig. 10 | Scientific Reports

Fig. 10

From: Identification of UBE2N as a biomarker of Alzheimer’s disease by combining WGCNA with machine learning algorithms

Fig. 10

Comprehensive analysis of single-cell transcriptome data from cerebrospinal fluid of AD patients and healthy samples. (A) UMAP projections of 70,391 CFS cells from patients with AD. (B) UMAP projections for different subgroups and after the removal of batch effects. (C) Annotation of individual cell clusters by using marker genes for different cell types. (D) Proportions of different cell types in each subgroup. (E) Heatmap of the first five DEGs in each cell population. (F) UMAP projections of the UBE2N expression distribution in each cell population. (G) Violin plots of differences in UBE2N expression in each subgroup. *p < 0.05; **p < 0.01; ***p < 0.001; ns, no statistical significance.

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