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. 2018 Dec 20;5:356. doi: 10.3389/fmed.2018.00356

Table 2.

Hypoxia pathway analysis.

Non-stimulated PB-ECFCs VT-stimulated PB-ECFCs
Pathway name Statistics Pathway name Statistics
Metabolic pathways p = 3.25e−08 Metabolic pathways p = 9.94e−05
Cell cycle p = 1.78e−05 Cell cycle p = 0.0027
Glycolysis / Gluconeogenesis p = 1.78e−05 Glycolysis / Gluconeogenesis p = 0.0088
Renal cell carcinoma p = 0.0003 Renal cell carcinoma p = 2.92e−06
Glycine, serine and threonine metabolism p = 0.0003 Glycine, serine and threonine metabolism p = 0.0030
TGF-beta signaling pathway p = 0.0003 TGF-beta signaling pathway p = 0.0112
p53 signaling pathway p = 0.0031 p53 signaling pathway p = 0.0088
Purine metabolism p = 0.0037 Purine metabolism p = 0.0052
Pentose phosphate pathway p = 0.0068
Mucin type O-Glycan biosynthesis p = 0.0077
Cysteine and methionine metabolism p = 0.0093
Fructose and mannose metabolism p = 0.0093
Cytokine-cytokine receptor interaction p = 0.0140 Cytokine-cytokine receptor interaction p = 4.74e−05
mTOR signaling pathway p = 0.0167
Adipocytokine signaling pathway p = 0.0247 Adipocytokine signaling pathway p = 0.0088
Pathways in cancer p = 0.0247 Pathways in cancer p = 0.0007
ECM-receptor interaction p = 0.0338
Ribosome p = 0.0371 Ribosome p = 0.0064
PPAR signaling pathway p = 4.74e−05
Axon guidance p = 0.0219
Focal adhesion p = 0.0450

The KEGG pathways involved in angiogenesis and metabolism with a p < 0.05 are show. Red is upregulated and green is downregulated.