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. 2018 Jul 12;35(10):1809–1819. doi: 10.1007/s10815-018-1247-9

Table 3.

Upstream inhibition regulators of differential expressed genes between granulosa cell-rich and-poor follicles

Upstream regulator Molecule type Predicted activation state Activation z score P value of overlap Target molecules in dataset
PD98059 Chemical-kinase inhibitor Inhibited − 2.63 3.35.E−03 ATP6V1B1, CCND2, CD83, COL1A2, C
OL3A1, CTSL, MMP1, MT3, TUB4A
Cycloheximide Chemical reagent Inhibited − 2.49 4.10.E−03 ASS1, CYP19A1, ERG, GBP1, IGFBP4, IG
FBP5, MMP1
Cholesterol Chemical-endogenous mammalian Inhibited − 2.43 1.14.E−03 CD5L, COL3A1, CYBB, FLT1, LYZ, MMP1
Tgf beta Group Inhibited − 2.41 2.14.E−03 BAMBI, CCND2, COL1A2, IGFBP5, MMP1, NOX4
Doxorubicin Chemical drug Inhibited − 2.22 6.90.E−02 A2M, COL3A1, CYBB, IGFBP7, NOX4
Actinomycin D Chemical drug Inhibited − 2.12 9.73.E−03 ASS1, COL1A2, IGFBP4, IGFBP5, MAT1A
H89 Chemical-kinase inhibitor − 1.98 6.97.E−03 CD83, CYP19A1, IGFBP5, MMP1
Cisplatin Chemical drug − 1.96 3.15.E−01 A2M, FLT1, LYZ, MAT1A, NOX4
N-Nitro-L-arginine methyl Chemical drug − 1.95 1.33.E−04 ACTA1, CD83, COL1A2, COL3A1, CYBB
NFKBIA Transcription regulator − 1.94 1.05.E−02 A2M, ATP6V1B1, CCND2, CHI3L1, CO
L1A2, COL3A1, MMP1