Skip to main content
. 2012 Oct 5;7(10):e47184. doi: 10.1371/journal.pone.0047184

Table 3. Signal transduction mechanisms affected after overexpression of TFPIα or TFPIβ.

GO number Name Whole array TFPIα/β vs. pTOPO P-value
TFPIα vs. pTOPO
GO:0008150 Biological process 10463 137
GO:0007243 protein kinase cascade 321 11 0.003
GO:0007249 I-kappaB kinase/NF-kappaB cascade 107 6 0.003
GO:0007253 cytoplasmic sequestering of NF-kappaB 3 1 0.039
GO:0007259 JAK-STAT cascade 31 4 0.001
GO:0008593 regulation of Notch signaling pathway 3 1 0.039
GO:0007186 G-protein coupled receptor protein signaling pathway 605 1 0.005
GO:0003674 Molecular function 11326 140
GO:0005057 receptor signaling protein activity 119 6 0.004
GO:0005006 epidermal growth factor receptor activity 2 1 0.025
GO:0004694 eukaryotic translation initiation factor 2α kinase activity 3 1 0.037
GO:0004710 MAP/ERK kinase kinase activity 1 1 0.012
GO:0017112 Rab guanyl-nucleotide exchange factor activity 3 1 0.037
GO:0005093 Rab GDP-dissociation inhibitor activity 2 1 0.025
GO:0003924 GTPase activity 144 5 0.033
TFPIβ vs. pTOPO
GO:0008150 Biological process 10463 435
GO:0007242 intracellular signaling cascade 1142 63 0.018
GO:0042504 tyrosine phosphorylation of Stat4 protein 1 1 0.042
GO:0007173 epidermal growth factor receptor signaling pathway 25 5 0.003
GO:0016601 Rac protein signal transduction 9 3 0.005
GO:0034097 response to cytokine stimulus 3 2 0.005
GO:0030522 intracellular receptor-mediated signaling pathway 48 5 0.048
GO:0030518 steroid hormone receptor signaling pathway 42 5 0.029
GO:0030521 androgen receptor signaling pathway 28 4 0.027
GO:0003674 Molecular function 11326 482
GO:0004714 transmembrane receptor protein tyrosine kinase activity 55 7 0.008
GO:0004710 MAP/ERK kinase kinase activity 1 1 0.043
GO:0008427 calcium-dependent protein kinase inhibitor activity 1 1 0.043
GO:0008083 growth factor activity 123 10 0.041
GO:0005006 epidermal growth factor receptor activity 2 2 0.002

The differentially expressed mRNAs were loaded into eGOn for functional annotation, and the Master-Target test was used to identify significantly over-represented gene ontology categories (by comparing the number of genes associated with a gene ontology category to the total number of genes in the array associated with that category).