Table 5.
Statistically over-represented TFBS in genes associated with the GSEC baseline and stress analysis as determined by Opossum. Results displayed where Z-score ≥5 and Fisher ≤0.01.
| Transcription factor | TF class | Information contenta | Target gene hits | Background TFBS rateb | Target TFBS rateb | Z-scorec | Fisher scored |
|---|---|---|---|---|---|---|---|
| MZF1_5-13 | Zn-Finger, C2H2 | 9.4 | 301 | 0.0222 | 0.0245 | 10.6 | 2.71E−07 |
| MZF1_1-4 | Zn-Finger, C2H2 | 8.6 | 377 | 0.0464 | 0.0494 | 10.3 | 2.20E−04 |
| SP1 | Zn-Finger, C2H2 | 9.7 | 290 | 0.02 | 0.022 | 9.9 | 6.78E−08 |
| TEAD1 | TEA | 15.7 | 100 | 0.0029 | 0.0037 | 9.9 | 2.07E−04 |
| RELA | REL | 14.8 | 141 | 0.0039 | 0.0048 | 9.2 | 2.39E−05 |
| GABPA | ETS | 13.9 | 157 | 0.0049 | 0.0057 | 8.3 | 8.50E−05 |
| REL | REL | 10.5 | 227 | 0.0089 | 0.01 | 8.1 | 4.86E−07 |
| CEBPA | bZIP | 9.2 | 210 | 0.0118 | 0.013 | 7.8 | 5.60E−04 |
| ELF5 | ETS | 8.7 | 353 | 0.0291 | 0.0307 | 6.6 | 4.05E−07 |
| Spz1 | bHLH-ZIP | 11.9 | 166 | 0.0049 | 0.0056 | 6.6 | 1.13E−08 |
| NR3C1 | Nuclear Receptor | 14.7 | 60 | 0.0023 | 0.0027 | 6.4 | 1.48E−03 |
| ELK1 | ETS | 8.8 | 315 | 0.0201 | 0.0213 | 6.1 | 2.56E−07 |
| HLF | bZIP | 11.1 | 124 | 0.0048 | 0.0054 | 5.9 | 6.55E−03 |
| Arnt-Ahr | bHLH | 9.5 | 319 | 0.0179 | 0.0189 | 5.7 | 6.97E−05 |
| GFI | Zn-Finger, C2H2 | 9.5 | 270 | 0.0169 | 0.0179 | 5.4 | 4.65E−05 |
| RORA_1 | Nuclear Receptor | 13.2 | 197 | 0.006 | 0.0065 | 5.0 | 1.61E−09 |
| NF-κB | REL | 13.3 | 180 | 0.0057 | 0.0062 | 5.0 | 5.24E−07 |
This is the specificity of the TFBS profile's position weight matrix.
The number of times this TFBS was detected within the conserved non-coding regions of the background or target set of genes.
The likelihood that the number of TFBS nucleotides detected for the included target genes is significant as compared with the number of TFBS nucleotides detected for the background set. Z-score is expressed in units of magnitude of the standard deviation.
The probability that the number of hits vs. non-hits for the included target genes could have occurred by random chance based on the hits vs. non-hits for the background set.