Table 5.
Significantly changed signaling pathways in caudal NPCs from EAE animalsa
| Ingenuity canonical pathways | −log (B-H p value) | Downregulated | No change | Upregulated | No overlap with dataset |
|---|---|---|---|---|---|
| PTEN signaling | 4.5E00 | 28/135 (21%) | 0/135 (0%) | 2/135 (1%) | 105/135 (78%) |
| PI3K/AKT signaling | 3.74E00 | 28/144 (19%) | 0/144 (0%) | 1/144 (1%) | 115/144 (80%) |
| Axonal guidance signaling | 2.82E00 | 54/440 (12%) | 0/440 (0%) | 8/440 (2%) | 378/440 (86%) |
| Reelin signaling in neurons | 2.81E00 | 16/82 (20%) | 0/82 (0%) | 4/82 (5%) | 62/82 (76%) |
| Signaling by Rho family GTPases | 2.72E00 | 37/252 (15%) | 0/252 (0%) | 4/252 (2%) | 211/252 (84%) |
| Integrin signaling | 2.72E00 | 32/207 (15%) | 0/207 (0%) | 4/207 (2%) | 171/207 (83%) |
| FGF signaling | 2.56E00 | 17/92 (18%) | 0/92 (0%) | 3/92 (3%) | 72/92 (78%) |
| Actin cytoskeleton signaling | 2.56E00 | 33/238 (14%) | 0/238 (0%) | 4/238 (2%) | 201/238 (84%) |
| IGF-1 signaling | 2.49E00 | 20/105 (19%) | 0/105 (0%) | 1/105 (1%) | 84/105 (80%) |
| NGF signaling | 2.38E00 | 22/118 (19%) | 0/118 (0%) | 0/118 (0%) | 96/118 (81%) |
| Ephrin receptor signaling | 2.32E00 | 27/200 (14%) | 0/200 (0%) | 4/200 (2%) | 169/200 (85%) |
| CXCR4 signaling | 2.27E00 | 25/167 (15%) | 0/167 (0%) | 2/167 (1%) | 140/167 (84%) |
| JAK/Stat signaling | 1.94E00 | 14/70 (20%) | 0/70 (0%) | 1/70 (1%) | 55/70 (79%) |
| CNTF signaling | 1.91E00 | 12/55 (22%) | 0/55 (0%) | 0/55 (0%) | 43/55 (78%) |
aTable shows the significantly EAE-regulated canonical pathway in caudal NPCs. The analysis was performed using IPA. The p value is corrected for multiple comparisons using the Benjamini–Hochberg correction. The remaining columns show the number of molecules belonging to a certain pathway that were downregulated (column 3), unchanged (column 4), or upregulated (column 5) in our dataset. The percentages that these molecules constitute from the total number of molecules known to be involved in a certain pathway are shown in parentheses. The last column shows the number and percentage of the remaining molecules not regulated in our dataset but involved in a certain pathway.