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Accession IconSRP067442

Extensive regulation of diurnal transcription and metabolism by glucocorticoids [RNA-Seq]

Organism Icon Danio rerio
Sample Icon 20 Downloadable Samples
Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 1000

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Description
Altered daily patterns of hormone action are suspected to contribute to metabolic disease. It is poorly understood how the adrenal glucocorticoid hormones contribute to the coordination of daily global patterns of transcription and metabolism. Here, we examined diurnal metabolite and transcriptome patterns in a zebrafish glucocorticoid deficiency model by RNA-Seq, NMR spectroscopy and liquid chromatography-based methods. We observed dysregulation of metabolic pathways including glutaminolysis, the citrate and urea cycles and glyoxylate detoxification. Constant, non-rhythmic glucocorticoid treatment rescued many of these changes, with some notable exceptions among the amino acid related pathways. Surprisingly, the non-rhythmic glucocorticoid treatment rescued almost half of the entire dysregulated diurnal transcriptome patterns. A combination of E-box and glucocorticoid response elements is enriched in the rescued genes. This simple enhancer element combination is sufficient to drive rhythmic circadian reporter gene expression under non-rhythmic glucocorticoid exposure, revealing a permissive function for the hormones in glucocorticoid-dependent circadian transcription. Our work highlights metabolic pathways potentially contributing to morbidity in patients with glucocorticoid deficiency, even under glucocorticoid replacement therapy. Moreover, we provide mechanistic insight into the interaction between the circadian clock and glucocorticoids in the transcriptional regulation of metabolism. Overall design: RNA-Seq from total RNA of zebrafish larvae during (5 dpf) the diurnal cycle. Time-series mRNA profiles of untreated wild type (WT), rx3t25327/t25327 [rx3 strong] and rx3t25181/t25181 [rx3 weak] mutant larvae as well as dexamethasone treated WT and rx strong larvae were generated by deep sequencing.
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20
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