Fig. 5

Comparison of the proteomics dataset to other published data and enrichment analyses. To obtain an overview of the type of proteins identified, GO and KEGG pathway enrichment analysis using g:GOst analysis tool [30] was performed to the list of all identified proteins across all the samples. We also performed the same analysis to the BTI dataset [12] and the region-specific dataset [32] to compare the outcomes of different approaches. a The DBS dataset of all unique protein identifiers was compared to the BTI proteomics dataset [12] and the region-specific dataset representing frontal cortex and frontal white matter by Biswas et al. [32]. Out of 734 identifiers, 517 (70%) were in common with the BTI dataset and 657 (90%) were in common with the frontal cortex and frontal white matter region-specific dataset. b The top 10 most enriched terms in each GO category (Cellular component, CC; Biological process, BP; Molecular function, MF) showed that the DBS dataset and the BTI dataset shared many top terms with similar enrichment pattern. c The number and fraction of identifiers belonging to top enriched KEGG pathways in our DBS dataset were compared with the same enriched pathways identified in the BTI [12] dataset and the frontal cortex and white matter region-specific dataset [32]. Most of the top enriched pathways were common to all three datasets. In b and c, the length of the column indicates the percentage of the features identified in each dataset falling into each category and the numerical value indicates the number of features identified as a part of each feature