Table 5. Top 5 significant KEGG pathways identified by DAVID using DE genes.
| Comparison | DAVID KEEG Pathways | P value | Overlap ratioa |
|---|---|---|---|
| Infected versus non-infected mucosa | Cell cycle | 3.20E-06 | 0.14 |
| Fructose and mannose metabolism | 1.20E-04 | 0.25 | |
| Amino sugar and nucleotide sugar metabolism | 4.10E-04 | 0.18 | |
| Fat digestion and absorption | 1.10E-03 | 0.18 | |
| Protein export | 1.80E-03 | 0.24 | |
| Infected versus non-infected lymph | Protein export | 3.10E-09 | 0.60 |
| Protein processing in endoplasmic reticulum | 1.10E-08 | 0.24 | |
| Proteasome | 5.70E-08 | 0.40 | |
| Biosynthesis of antibiotics | 8.00E-04 | 0.16 | |
| Central carbon metabolism in cancer | 3.20E-03 | 0.22 | |
| Resistant versus susceptible mucosa | Regulation of lipolysis in adipocytes | 2.50E-04 | 0.13 |
| PI3K-Akt signaling pathway | 2.40E-03 | 0.04 | |
| TGF-beta signaling pathway | 3.50E-03 | 0.08 | |
| PPAR signaling pathway | 6.90E-03 | 0.08 | |
| Malaria | 1.10E-02 | 0.10 | |
| Resistant versus susceptible lymph | Proteasome | 1.20E-06 | 0.21 |
| Carbon metabolism | 2.90E-04 | 0.10 | |
| Biosynthesis of antibiotics | 3.30E-04 | 0.07 | |
| Ribosome biogenesis in eukaryotes | 2.30E-03 | 0.10 | |
| RNA transport | 4.70E-03 | 0.07 |
a The ratio is calculated by taking the number of DE genes that participate in a KEGG Pathway, and dividing it by the total number of genes in that KEGG Pathway.