Fig. 9: Multi-omics data integration and lipid analysis.
From: Signaling mechanisms in renal compensatory hypertrophy revealed by multi-omics

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. (pā<ā0.05, Fisherās Exact test, p values are provided in Supplementary DataĀ 25). GO gene ontology. c Concentrations of total saturated fatty acids (SAT FA, pā=ā0.013), monounsaturated fatty acids (MUFA, pā=ā0.007), n-6 and n-3 poly unsaturated fatty acid (PUFA, pā=ā0.015, pā=ā0.008), and total PUFA (pā=ā0.012) in Sham (nā=ā5) versus UNx (nā=ā5), analyzed by gas chromatography in kidney tissue. Data are presented as meanā±āSD. *pā<ā0.05, **pā<ā0.01 (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, pā=ā0.00013), phospholipid (PL, pā=ā0.046) and total cholesterol (TC, pā=ā0.976) by colorimetric quantitative analysis in kidney tissue from UNx (nā=ā5) vs. Sham (nā=ā5). Data are presented as meanā±āSD. *pā<ā0.05, **pā<ā0.01, ***pā<ā0.001 (unpaired, two-tailed T-test).