Identification of key candidate genes and molecular pathways in white fat browning: an anti-obesity drug discovery based on computational biology

Table 2 Summary of KEGG process gene set enrichment analysis

Progress	Genes in query set	Total genes in genome	Corrected hypergeometric P value	Genes
PPAR signaling pathway	10	70	1.27872e−14	CYP7A1, FADS2, FABP4, PPARA, ADIPOQ, UCP1, LPL, RXRA, PPARG, APOC3
Adipocytokine signaling pathway	9	67	3.87352e−13	IRS1, SLC2A4, PPARA, ADIPOQ, NFKB1, LEP, PRKAA2, RXRA, PPARGC1A
Pathways in cancer	11	324	1.10046e−09	IL6, MMP2, IGF1R, FGF19, NFKB1, PIK3R1, TGFB1, CTNNB1, CREBBP, RXRA, PPARG
Insulin signaling pathway	8	133	4.39226e−09	IRS1, LIPE, SLC2A4, SREBF1, PIK3R1, PRKAA2, INS, PPARGC1A
Prostate cancer	6	88	1.89023e−07	IGF1R, NFKB1, PIK3R1, INS, CTNNB1, CREBBP
Type II diabetes mellitus	5	46	2.15133e−07	IRS1, SLC2A4, ADIPOQ, PIK3R1, INS

Among the most significantly enriched pathway annotations above the cutoff, those most relevant to brown-fat-like development based on the available literature and research were selected. The analysis of enriched pathway annotations resulted in six pathways containing a total of 28 unique genes

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