Table 2.
The top 50 most differentially regulated genes in all biological contexts following modulation of grh/Grhl function. The overall top 50 differentially regulated (both positively and negatively) genes of grh/grhl as identified by analysis of all published Microarray and RNA-SEQ datasets. 15 out of the 50 predicted target genes had previously been validated in literature through either large-scale ChIP-SEQ genome mining experiments, or through experimental validation (highlighted in red).
| GRHL Targets | |||||
|---|---|---|---|---|---|
| Rank | Gene | Regulation | Normalised Score | Known relationships with Grhl Transcription Factors | |
| Locus bound by GRHL (ChIP and ChIP-SEQ) | Experimental validation | ||||
| 1 | Tmem54 | POSITIVE | 0.184 | Aue, et al. 2015,Walentin et al. 2015 | |
| 2 | Prom2 | POSITIVE | 0.182 | Aue, et al. 2015,Walentin et al. 2015 | |
| 3 | Cldn4 | POSITIVE | 0.148 | Chung, et al. 2016, Werth et al., 2010. Varma et al., 2012 | Senga, et al. 2012, Varma et al. 2012, Tanimizu and Mitaka 2013, Aue et al. 2015 |
| 4 | Cldn23 | POSITIVE | 0.113 | ||
| 5 | Grhl2 | POSITIVE | 0.089 | ||
| 6 | Ppl | POSITIVE | 0.0868 | Aue, Hinze et al. 2015 | |
| 7 | Ocln | POSITIVE | 0.0777 | ||
| 8 | Cdh1 | POSITIVE | 0.0754 | Aue, et al. 2015, Chung, et al. 2016, Werth et al. 2010. Varma et al., 2012 | Werth, et al. 2010. Pyrgaki, et al. 2011, Xiang, et al. 2012, Gao, et al. 2013, Tanimizu and Mitaka 2013, Chung, et al. 2016, Nishino, Takano et al. 2017, Pan, et al. 2017 |
| 9 | Krt7 | POSITIVE | 0.0752 | ||
| 10 | Tslp | POSITIVE | 0.0741 | ||
| 11 | Rab15 | POSITIVE | 0.0708 | Walentin et al. 2015 | |
| 12 | Gm19601 | NEGATIVE | 0.069 | ||
| 13 | Lad1 | POSITIVE | 0.0661 | Walentin et al. 2015 | |
| 14 | Gm3579 | NEGATIVE | 0.065 | ||
| 15 | Rab25 | POSITIVE | 0.0631 | Aue, et al. 2015 | Senga, et al. 2012 |
| 16 | Epcam | POSITIVE | 0.0618 | Chung, et al. 2016 | Xiang, et al. 2012 |
| 17 | Snx31 | POSITIVE | 0.0607 | ||
| 18 | Slc6a19 | NEGATIVE | 0.0579 | ||
| 19 | Zasp66 | NEGATIVE | 0.0578 | ||
| 20 | Ap1m2 | POSITIVE | 0.0576 | ||
| 21 | Sfn | POSITIVE | 0.0565 | ||
| 22 | IL36RN | POSITIVE | 0.0562 | ||
| 23 | 2310001H18Rik | POSITIVE | 0.0562 | ||
| 24 | Il17re | POSITIVE | 0.0558 | ||
| 25 | Macc1 | POSITIVE | 0.0558 | ||
| 26 | Evpl | POSITIVE | 0.055 | ||
| 27 | Gm20305 | NEGATIVE | 0.0547 | ||
| 28 | Aldh1a3 | POSITIVE | 0.0538 | ||
| 29 | Tacstd2 | POSITIVE | 0.0531 | Chung, et al. 2016 | |
| 30 | Sprr1a | POSITIVE | 0.0528 | ||
| 31 | St14 | POSITIVE | 0.0525 | Chung, et al. 2016 | |
| 32 | Rbbp8 | POSITIVE | 0.0521 | ||
| 33 | Tmprss11b | POSITIVE | 0.0519 | ||
| 34 | Cldn7 | POSITIVE | 0.0515 | ||
| 35 | CG10345 | NEGATIVE | 0.0501 | ||
| 36 | Sod3 | NEGATIVE | 0.05 | ||
| 37 | CG12480 | NEGATIVE | 0.0499 | ||
| 38 | Esrp1 | POSITIVE | 0.0499 | Chung, et al. 2016 | Xiang, et al. 2012 |
| 39 | Prss22 | POSITIVE | 0.0497 | Aue, et al. 2015 | |
| 40 | Cyp2b19 | NEGATIVE | 0.0497 | ||
| 41 | Car6 | NEGATIVE | 0.0497 | ||
| 42 | Car2 | POSITIVE | 0.0495 | ||
| 43 | Fmo2 | NEGATIVE | 0.0493 | ||
| 44 | Elovl1 | NEGATIVE | 0.0492 | ||
| 45 | Elovl7 | NEGATIVE | 0.0492 | ||
| 46 | Defb3 | POSITIVE | 0.0488 | ||
| 47 | Spint1 | POSITIVE | 0.0481 | Chung, et al. 2016, Walentin et al. 2015 | Walentin, et al. 2015, Matsushita, et al. 2018 |
| 48 | Prss8 | POSITIVE | 0.0481 | Chung, et al. 2016 | |
| 49 | Cldn6 | POSITIVE | 0.0481 | ||
| 50 | Gsta2 | NEGATIVE | 0.0479 | ||