Table 3.
Ranking of Protein Pathways1
| Rank | Pathway | Number of proteins in pathway |
|---|---|---|
| 1 | Complement cascade | 24 |
| 2 | Immune System | 222 |
| 3 | Formation of Fibrin Clot (Clotting Cascade) | 21 |
| 4 | Metabolism of proteins | 33 |
| 5 | Signal Transduction | 236 |
| 6 | Post-translational protein modification | 15 |
| 7 | PTM: gamma carboxylation, hypusine formation and arylsulfatase activation | 12 |
| 8 | Regulation of Insulin-like Growth Factor (IGF) Activity by Insulin-like Growth Factor Binding Proteins (IGFBPs) | 17 |
| 9 | Innate Immune System | 120 |
| 10 | Diabetes pathways | 25 |
| 11 | Integrin cell surface interactions | 25 |
| 12 | Hemostasis | 119 |
| 13 | Transcriptional Regulation of White Adipocyte Differentiation | 5 |
| 14 | Signaling by NOTCH | 16 |
| 15 | Signaling by NOTCH3 | 5 |
| 16 | Integrin alpha IIb beta3 signaling | 12 |
| 17 | Activation of Genes by ATF4 | 3 |
| 18 | Disease | 137 |
| 19 | Platelet Aggregation (Plug Formation) | 16 |
| 20 | Prolactin receptor signaling | 6 |
| 21 | Signaling by NOTCH1 | 14 |
| 22 | Cytokine Signaling in Immune system | 64 |
| 23 | Growth hormone receptor signaling | 10 |
| 24 | Cell surface interactions at the vascular wall | 38 |
| 25 | Amyloids | 13 |
Top 25 ranked pathways. The proteins were classified into known pathways using Reactome, these pathways can overlap with each other and are hierarchical (i.e., one pathway could be a subset of another pathway). The ranking of each pathway was determined by combining the individual p-values from the logistic regression for the proteins in the pathway.