Fig. 5: Joint pathway analysis of metabolomics dataset with RNAseq dataset. | Communications Biology

Fig. 5: Joint pathway analysis of metabolomics dataset with RNAseq dataset.

From: Electrolyte and metabolite composition of cystic fluid from a rat model of ARPKD

Fig. 5

A Enrichment analysis of metabolic pathways resulting from the identification of significantly different cyst fluid metabolites paired with differentially expressed genes in male and female PCK rat kidneys. Larger y-axis coordinates correspond to a greater number of significantly different metabolites from a pathway. A larger x-axis coordinates result from increased numbers of significantly different genes in a pathway. Major pathways predicted to be different after combining both metabolite and gene expression include: tryptophan metabolism, drug metabolism, steroid hormone biosynthesis, fatty acid metabolism, caffeine metabolism, drug metabolism by cytochrome p450, purine metabolism, metabolism of xenobiotics by cytochrome p450, linoleic metabolism, and tyrosine metabolism. Also, of note are # - amino sugar and nucleotide sugar metabolism, & - arginine and proline metabolism, and * - taurine and hypotaurine metabolism. B Schematic of the 3 major arms of tryptophan metabolism. Compounds in yellow boxes are significantly different between male and female cyst fluid. C Graphs showing significant differences in several genes associated with tryptophan metabolism signaling. Graphs demonstrate the mean ± SEM. Significance was determined by unpaired two-tailed t-test *p < 0.05 **p < 0.01 ***p < 0.001. KPKM - Fragments Per Kilobase per Million mapped fragments.

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