Table 2.
Term | Count | p-Value |
---|---|---|
Focal adhesion | 78 | 1.5 × 10−11 |
Systemic lupus erythematosus | 57 | 6.8 × 10−11 |
Alcoholism | 67 | 5.1 × 10−10 |
Extracellular matrix–receptor interaction | 38 | 6.9 × 10−8 |
Arrhythmogenic right ventricular cardiomyopathy | 30 | 4.8 × 10−6 |
Phosphoinositide 3-kinase/Akt signaling pathway | 95 | 7.3 × 10−6 |
Viral carcinogenesis | 63 | 8.9 × 10−6 |
Hypertrophic cardiomyopathy | 31 | 1.4 × 10−5 |
Influenza A | 55 | 1.5 × 10−5 |
TNF signaling pathway | 38 | 2.0 × 10−5 |
Rheumatoid arthritis | 33 | 2.8 × 10−5 |
Rap1 signaling pathway | 62 | 4.1 × 10−5 |
Cytokine–cytokine receptor interaction | 66 | 5.9 × 10−5 |
NOD-like receptor signaling pathway | 23 | 9.7 × 10−5 |
Protein digestion and absorption | 31 | 1.9 × 10−4 |
Pathways in cancer | 99 | 2.1 × 10−4 |
Legionellosis | 22 | 2.2 × 10−4 |
Transcriptional misregulation in cancer | 49 | 4.0 × 10−4 |
Proteoglycans in cancer | 56 | 4.5 × 10−4 |
Dilated cardiomyopathy | 29 | 4.7 × 10−4 |
The database for annotation, visualization, and integrated discovery (DAVID) version 6.8 functional annotation bioinformatics microarray analysis software was used to obtain KEGG pathway functional classifications. Only KEGG pathway terms for classifications that showed statistically significant differences in the expression of genes in cells treated with DCA and LTA compared to that in control cells are shown (p ≤ 0.0005).