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. 2010 Jan 15;24(2):447–463. doi: 10.1210/me.2009-0295

Table 2.

All mir-100 predicted target genes that were overexpressed in clear cell ovarian cancer

Gene Description Microarray fold change (clear cell vs. NOSE) Microarray fold change (mir-100 overexpression) Algorithm
FGFR3 Fibroblast growth factor receptor 3 +13.10 −2.62 T, P, M
FRAP1/mTORa FK506-binding protein 12-rapamycin associated protein 1 +1.92 −1.85 T, P, M
CTDSPL CTD (carboxy-terminal domain, RNA polymerase II, polypeptide A) small phosphatase-like +3.86 −1.62 T, P, M
TRIB1 Tribbles homolog 1 (Drosophila) +3.47 −1.28 T
CMTM6 CKLF-like MARVEL transmembrane domain containing 6 +3.12 −1.15 M
HLTF Helicase-like transcription factor +2.09 −1.12 M
EIF2C2/AGO2 Eukaryotic translation initiation factor 2C, 2 +3.29 −1.07 T, P, M
IMPDH1 IMP (inosine monophosphate) dehydrogenase 1 +2.31 −1.07 M
RAVER2 Ribonucleoprotein, PTB-binding 2 +2.44 −1.06 T, P, M
CCDC21 Coiled-coil domain containing 21 +2.30 +1.04 T
KAZALD1 Kazal-type serine peptidase inhibitor domain 1 +4.32 +1.06 M
E2F2 E2F transcription factor 2 +6.76 +1.07 M
CDC25A Cell division cycle 25 homolog A (S. pombe) +3.06 +1.61 M
PLAGL2 Pleiomorphic adenoma gene-like 2 +3.82 +1.63 M

Nine of 14 genes were down-regulated after mir-100 overexpression. Prediction algorithms: T, TargetScan; P, PicTar; M, miRanda. 

a

Although FRAP1/mTOR was less than 2-fold up-regulated in clear cell vs. NOSE, it was included in our analysis based on previous work validating the gene as a bona fide mir-100 target (44).