Table 2.
Human galectin | Transcription factors | hsa-miRNAsa |
---|---|---|
LGALS1 | AP-1, c-Jun, p53, SEF-1(1), ATF-2, MyoD, YY1, HEN1, E2F, E2F-1 | 4635, 22-3p, 4717-5p |
LGALS2 | AP-1, PPAR-γ1, PPAR-γ2, c-Fos, c-Jun, HNF-4α1, HNF-4α2, COUP, COUP-TF, COUP-TF1, ATF-2, ATF6 | No predictions |
LGALS3 | NF-κB, NF-κB1, AML1a, AP-1, c-Jun, Sp1, HNF-4α1, HNF-4α2 | 612, 548at-5p, 3187-5p, 5189, 1285-3p, 3190-5p, 3622b-5p, 4253, 24-3p |
LGALS4 | CBF-A, NF-Y, NF-YA, c/EBPα, TBP, TFIID, RelA, PPAR-γ1, PPAR-γ2, CREB, AML1a, AP-1, ATF-2, δCREB, c-Jun | 4688, 27a-5p, 185-3p, 4278 |
LGALS7 | P53, CREB, NF-1, HSF2, δCREB, HSF1 (long), Arnt | 3194-5p, 3972 |
LGALS8 | NF-E2, NF-E2 p45, Nkx5-1, RORα2, Bach2, CUTL1, ER-α | 3065-3p, 388-5p, 300, 1913, 4742-3p, 607, 381, 196a-5p, 3662, 431-5p, 196b-5p, 5096, 148a-3p, 573, 3671, 152, 889, 545-5p, 3616-5p, 148b-3p, 29c-3p, 5003-3p, 29b-3p, 2054, 890, 29a-3p, 5008-3p, 3922-3p, 522-3p, 3672, 4775, 105-5p, 3129-3p, 507, 1910, 664-5p, 4778-5p, 29b-2-5p, 892b, 651, 4794, 557, 506-5p, 205-3p, 324-3p, 4666a-5p, 499a-5p, 4533, 3646, 5583-5p, 548c-3p, 4307, 5701, 1272, 4291, 3680-3p, 4670-3p, 27b-3p, 4263, 3152-5p, 2681-5p, 130a-5p, 10a-3p, 562, 3129-5p, 27a-3p, 3613-3p, 4729, 4711-3p, 9-5p, 7-5p, 876-3p, 4802-3p, 2052, 224-3p, 508-5p, 5692a, 33a-3p, 5589-3p, 606, 5700, 579, 3163, 302c-5p, 512-3p, 4747-5p, 320e, 3617, 551b-5p, 3611, 2355-5p, 335-3p, 3159, 4276, 1285-5p, 18b-3p, 1301, 644b-3p, 320c, 5047, 3140-3p, 320b, 3185, 320a, 4282, 582-3p, 5585-5p, 4693-5p, 524-5p, 4708-5p, 136-5p, 5480-3p, 320d, 374b-3p, 4760-3p, 3134, 499a-3p, 19b-1-5p, 1277-5p, 4694-3p, 520d-5p, 4429 |
LGALS9 | NRSF form 1/form 2, STAT1, STAT1α, STAT1β, POU2F2 (Oct-2.1), Oct-B1, Oct-B3, Oct-B2, CUTL1, POU2F2C, POU2F1, POU2F1a, POU2F2B | 764, 3190-3p, 1197, 3202, 541-3p, 3934, 654-5p, 4657, 486-3p, 4477b, 4459, 505-5p, 548an, 4646-5p, 5090, 665, 4447, 4787-5p, 4314, 4736, 4793-3p, 4472 |
LGALS10 (CLC) | STAT3, p53, FOXI1, HFH-3, HFH-1, FOXL1 | 573, 3616-5p |
LGALS12 | SREBP-1a, SREBP-1b, SREBP-1c, c/EBPα, c/EPBβ, PPAR-γ1, PPAR-γ2 | 5692a, 5590-3p, 1291, 765, 3928, 4719, 4650-5p, 484 |
LGALS13 | NRSF form 1, NRSF form 2, Bach2 | 4314, 204-3p, 4646-5p, 4778-5p, 3192, 374b-3p, 4690-5p, 3927, 657, 4650-3p |
LGALS14 | No predictions | 4778-5p, 4779, 3927, 204-3p, 4646-5p, 4650-3p, 330-5p, 4314, 4320, 326 |
LGALS16 | No predictions | 4779, 4778-5p, 5196-5p, 3927, 3155a, 3155b, 4689, 4650-3p, 4652-3p |
The results represent the search for the specific information on the following websites: GeneCards (http://www.genecards.org/), SABioscience (most relevant regulatory transcription binding sites, http://www.sabiosciences.com), and miRNA target prediction software microT-CDS at Diana Tools (http://diana.imis.athena-innovation.gr/DianaTools/)
aThe predicted miRNAs are listed in order of the overall miRNA target gene (miTG) score decreasing. The miTG score is supposed to correlate with fold changes in protein expression [146] and its threshold was set up to 0.7 as per default option of the microT-CDS search