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Fig. 7. | Journal of Translational Medicine

Fig. 7.

From: Integrating plasma circulating protein-centered multi-omics to identify potential therapeutic targets for Parkinsonian cognitive disorders

Fig. 7.

Multifaceted gene expression profiling: scatter, PCA, UMAP, and dot plot insights. A Scatter plot of average gene expression vs. standardized variance. Red dots: 2000 variable genes; black dots: 29,784 non-variable genes. Labeled genes like PDE1 C show notable variance - expression links. B, C In label (B), PCA plots (PC_1-PC_4) show gene-level data on principal axes, visualizing gene variance in reduced space. Label (C)’s line plot of standard deviation along PCs determines variance each PC captures, with the curve decreasing as variance explained decreases. D, E Label (D)’s UMAP plot has colored, clustered points, likely different cell types/samples with numbered group identities. Label (E)’s UMAP plot compares"Control"and"PDD"groups, using color to clearly show differences in gene expression patterns between them. E Dot plot shows gene “Identity” by average expression (color) and expression percentage (dot size). G UMAP plot colors points by cell types (e.g., ODC, MG), visualizing cell type distribution by gene expression

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