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. 2021 Oct 29;12:752568. doi: 10.3389/fendo.2021.752568

Table 3.

Most enriched pathways.

Pathway Name Source pValue Bonferroni Genes from Input Genes in Annotation
M5889 Ensemble of genes encoding extracellular matrix and extracellular matrix-associated proteins MSigDB C2 BIOCARTA (v7.3) 6.717E-135 6.153E-132 140 1026
M5884 Ensemble of genes encoding core extracellular matrix including ECM glycoproteins, collagens and proteoglycans MSigDB C2 BIOCARTA (v7.3) 1.567E-85 1.435E-82 75 275
1270244 Extracellular matrix organization BioSystems: REACTOME 2.416E-69 2.213E-66 67 298
M3008 Genes encoding structural ECM glycoproteins MSigDB C2 BIOCARTA (v7.3) 1.949E-55 1.785E-52 51 196
M5885 Ensemble of genes encoding ECM-associated proteins including ECM-affiliated proteins, ECM regulators and secreted factors MSigDB C2 BIOCARTA (v7.3) 1.738E-39 1.592E-36 65 751
M3468 Genes encoding enzymes and their regulators involved in the remodeling of the extracellular matrix MSigDB C2 BIOCARTA (v7.3) 9.420E-30 8.629E-27 36 238
1270245 Collagen formation BioSystems: REACTOME 5.373E-29 4.921E-26 26 93
M18 Beta1 integrin cell surface interactions MSigDB C2 BIOCARTA (v7.3) 2.802E-28 2.566E-25 23 66
M7098 ECM-receptor interaction MSigDB C2 BIOCARTA (v7.3) 5.997E-24 5.493E-21 22 84
1270256 ECM proteoglycans BioSystems: REACTOME 4.440E-23 4.067E-20 19 57

Selection based on p-value and adjusted with Bonferroni correction. Hit count in genome shows the number of genes in a given pathway, and the hit count in query list shows how many genes in the query list are hit in a given pathway. The full output table generated by ToppFun is shown in Supplementary Table S4.