Gene Ontology Enrichment
Analysis (GOEA) Network
Notes: This network was generated for all the therapeutic entities of checkpoint targets via KEGG database, ShinyGO toolkit and DAVID toolkit. In summary, a few GO terms were significant among all the entities such as ‘negative regulation of T cell activation’, ‘regulation of cell-cell adhesion’, ‘regulation of immune system process’, ‘positive regulation of cytokine production’ and ‘regulation of responses to stress’ etc.
1. ShinyGO: a graphical gene-set enrichment tool for animals and plants. Bioinformatics. 2020; 36(8): 2628-2629.
2. DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol. 2003;4(5): P3.
2. Reactome Pathway Analysis
Notes: This pathway analysis was generated for all the therapeutic entities of checkpoint targets via Reactome toolkit. In summary, a few biological pathways were significant among all the entities such as ‘immune system’, ‘cell cycle’, ‘signal transduction’, ‘gene expression (transcription)’ and ‘DNA repair’ etc.
1. Reactome pathway analysis: a high-performance in-memory approach. BMC Bioinformatics. 2017 Mar 2;18(1):142.