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Fig. 2 | Human Genomics

Fig. 2

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

Fig. 2

Summary of data mining results. a Text mining: Text mining was performed by using the terms “brown-fat-like development”, “brown fat”, and “brown adipose tissue”, respectively. One hundred seventy-eight genes were found by using pubmed2ensembl and total of 121 genes were common to all the three lists. b Gene set enrichment: Biological process and pathway analysis were performed in GeneCodis to enrich 70 and 28 genes, respectively. Next, nine significant genes were derived by protein-protein interaction analysis using STRING and Cytoscape. Together with the 12 genes from the most enriched biological process, “brown fat cell differentiation”, 18 significant genes were selected for the final analysis. c Protein expression analysis: Protein expression analysis was performed using The Human Protein Atlas. d Drug-gene interactions: 33 drugs were selected targeting white fat browning, which may serve as potential treatments of obesity and related metabolic diseases

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