Fig. 9: Multi-omics data integration and lipid analysis. | Nature Communications

Fig. 9: Multi-omics data integration and lipid analysis.

From: Signaling mechanisms in renal compensatory hypertrophy revealed by multi-omics

Fig. 9

a Datasets used for multi-omics data integration using DAVID. b GO functional enrichment in biological process using output from data integration. The selected 10 significantly enriched GO biological process terms relevant to original hypothesis proposed in Fig.Ā 2 and Supplementary DataĀ 4. (p < 0.05, Fisher’s Exact test, p values are provided in Supplementary DataĀ 25). GO gene ontology. c Concentrations of total saturated fatty acids (SAT FA, p = 0.013), monounsaturated fatty acids (MUFA, p = 0.007), n-6 and n-3 poly unsaturated fatty acid (PUFA, p = 0.015, p = 0.008), and total PUFA (p = 0.012) in Sham (n = 5) versus UNx (n = 5), analyzed by gas chromatography in kidney tissue. Data are presented as mean ± SD. *p < 0.05, **p < 0.01 (unpaired, two-tailed T-test). d Representative image of colorimetric assay for triglycerides comparing sham and UNx samples. Uncropped image is provided as a Source Data file. e Concentration of triglycerides (TG, p = 0.00013), phospholipid (PL, p = 0.046) and total cholesterol (TC, p = 0.976) by colorimetric quantitative analysis in kidney tissue from UNx (n = 5) vs. Sham (n = 5). Data are presented as mean ± SD. *p < 0.05, **p < 0.01, ***p < 0.001 (unpaired, two-tailed T-test).

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