Table 4B.
Top 12 upstream regulators predicted from cluster X vs Y+Z differentially expressed genes
| Upstream Regulator (Gene ID) | Expression Fold Change | Molecule Type | Activation z-score | p-value of overlap |
|---|---|---|---|---|
|
| ||||
| TNF | 1.518 | cytokine | 10.128 | 6.47E-55 |
| IFNG | cytokine | 8.61 | 5.47E-56 | |
| IL1B | 1.667 | cytokine | 8.125 | 1.15E-31 |
| TGFB1 | 1.321 | growth factor | 7.435 | 1.71E-59 |
| IL6 | cytokine | 6.537 | 9.25E-36 | |
| ERBB2 | −1.035 | kinase | 6.053 | 6.39E-37 |
| IL2 | cytokine | 6.279 | 3.33E-20 | |
| PTGER2 | 1.314 | g-protein coupled receptor | 4.816 | 2.83E-22 |
| SPI1 | 1.664 | transcription regulator | 4.295 | 1.17E-28 |
| FOXO1 | −1.076 | transcription regulator | 4.362 | 2.48E-19 |
| STAT3 | 1.121 | transcription regulator | 3.713 | 8.16E-22 |
| CSF3 | cytokine | 2.925 | 1.36E-19 | |
Top 12 based on p-value and shown in order of descending activation z-scores. The Ingenuity Pathway Analysis database lacked enough data to calculate activation z-scores for some canonical pathways. These are left blank.