Table 3.
Gene sets responding to shYY2 using gene set analysis
| Name | Type | Size | YY2 ES | YY2 NES | YY2 NOM P-value | YY2 FDR Q-value |
|---|---|---|---|---|---|---|
| UV damage | ||||||
| UVB NHEK1 UP | Gene set | 123 | 0.485 | 2.171 | 0.000 | 0.000 |
| UVB SCC UP | Gene set | 82 | 0.520 | 2.147 | 0.000 | 0.001 |
| UVC HIGH D2 DN | Gene set | 36 | −0.420 | −1.547 | 0.020 | 0.600 |
| Mitochondrial function | ||||||
| MOOTHA VOXPHOS | Gene set | 75 | 0.629 | 2.558 | 0.000 | 0.000 |
| ELECTRON TRANSPORT CHAIN | Gene set | 92 | 0.561 | 2.376 | 0.000 | 0.000 |
| Tissue type | ||||||
| PLATELET EXPRESSED | Gene set | 27 | 0.663 | 2.185 | 0.000 | 0.000 |
| GNATENKO PLATELET UP | Gene set | 36 | 0.654 | 2.282 | 0.000 | 0.000 |
| GNATENKO PLATELET | Gene set | 36 | 0.654 | 2.299 | 0.000 | 0.000 |
| Transcription factors | ||||||
| KRCTCNNNNMANAGC UNKNOWN | Cis | 20 | 0.645 | 1.943 | 0.000 | 0.032 |
| Growth factors | ||||||
| EGF HDMEC UP | Gene set | 38 | 0.598 | 2.131 | 0.000 | 0.001 |
| Miscellaneous | ||||||
| ET743 SARCOMA UP | Gene set | 57 | 0.540 | 2.105 | 0.000 | 0.001 |
| GUO HEX DN | Gene set | 40 | 0.602 | 2.193 | 0.000 | 0.000 |
| PROTEASOME PATHWAY | Gene set | 21 | 0.708 | 2.175 | 0.000 | 0.000 |
| MORF AP2M1 | Computational | 214 | 0.437 | 2.121 | 0.000 | 0.000 |
| MORF ATOX1 | Computational | 79 | 0.540 | 2.218 | 0.000 | 0.000 |
| MORF ERH | Computational | 113 | 0.482 | 2.132 | 0.000 | 0.000 |
| MORF PRDX3 | Computational | 84 | 0.519 | 2.160 | 0.000 | 0.000 |
| MORF RAD21 | Computational | 177 | 0.419 | 1.991 | 0.000 | 0.001 |
| MORF RAN | Computational | 263 | 0.484 | 2.404 | 0.000 | 0.000 |
| CTGAGCC,MIR-24 | cis | 140 | −0.417 | −1.976 | 0.000 | 0.027 |
As in Table 1 except that type refers to the type of database used, size identifies the number of genes tested in the indicated set and the ES is the non-normalized enrichment score, without normalization to the size of the dataset.