Fig. 2: Proteome of the amygdala in naïve and stressed mice.

a Experimental design for proteome analysis. b Principal component analysis (PCA) of the proteomic data. Dots represent proteomic data sets from individual control (sky blue) and stressed mice (dark blue). c Heat map and hierarchical clustering of differentially expressed proteins. d Network based on Protein-Protein Interaction (PPI) Map. Network of enriched terms obtained by analyzing top-300 genes by Metascape. Each node represents a term, and the node size is directly proportional to the number of input proteins grouped into each term. Node color denotes cluster identity. Gene ontology (GO) terms with a similarity score >0.5 are connected by an edge and the edge thickness represents the similarity score. e 1D Enrichment Analysis of gene set enrichment analysis (GSEA) data. Each point represents a gene set obtained after GSEA analysis of the proteomic data, displayed as the average fold change of the proteins within that gene set as a function of the adjusted p-value of the GSEA analysis. Significant GSEA terms (adjusted p-value < 0.05) are highlighted in red. f Bar plot of normalized enrichment scores (NES) obtained from GSEA analysis using the ranked fold changes and adjusted p-values for all the differentially expressed proteins. The bar chart highlights the cytoskeletal-related pathways, with pathways exhibiting both positive and negative enrichment under stress conditions. Detailed statistics can be found in Source Data Table 2.