Fig. 5: Comparative analysis of N-glycoproteomics in brain regions across different diseases and aging conditions. | Nature Communications

Fig. 5: Comparative analysis of N-glycoproteomics in brain regions across different diseases and aging conditions.

From: Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases

Fig. 5

a PCA plots showing the clustering of samples based on glycoprotein profiles. b UpSet plot representing the intersection size of differentially expressed glycopeptides (DEGs) across various conditions and brain regions. The bars at the top indicate the number of DEGs unique to or shared between the conditions and regions. The left bar plot shows the overall gene set size for each condition/region combination. c Heatmap of glycopeptide profiles for key DEGs identified in the analysis. The rows represent glycopeptides, and the columns represent samples grouped by status and brain region. The color scale indicates the expression levels, with red representing high expression and blue representing low expression. d Density plots showing the distribution of log2 expression levels for different conditions across four brain regions. Each plot compares the expression distributions for AD, PD, old, and young conditions. e Module-trait relationship heatmap illustrating the correlation between glycosite modules (M1 to M10) and various traits, including status and brain region combinations. The color intensity indicates the strength of the correlation, with red representing positive correlations and blue representing negative correlations. The numbers in the cells represent the correlation coefficient and the p value (in parentheses). f Network analysis of significant glycosite modules M5, M6 and M8. The left side shows the glycopeptides networks within each module, with hub glycosites highlighted. The right side displays the enriched Gene Ontology (GO) terms for each module, categorized into Biological Process (BP), Cellular Component (CC), and Molecular Function (MF). The green text indicates GO terms significantly associated with the respective modules. P-values were calculated using a hypergeometric test and adjusted for multiple testing using the Benjamini–Hochberg FDR method. Terms with adjusted p values < 0.05 were considered significant. Source data are provided as a Source Data file.

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