Genomics

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Identification and validation of the pathways and functions regulated by the ROR alpha1 in skeletal muscle


ABSTRACT: Identification and validation of the pathways and functions regulated by the orphan nuclear receptor, ROR alpha1, in skeletal muscle The retinoic acid receptor-related orphan receptor (ROR) alpha has been demonstrated to regulate lipid metabolism. We were interested in the physiologically relevant roles, and pathways regulated by RORalpha1 action in skeletal muscle. This major mass organ accounts for ~40% of the total body mass, and significant levels of lipid catabolism, glucose disposal and energy expenditure. We utilized the strategy of targeted muscle specific expression of a truncated (dominant negative) RORalpha∆DE in transgenic mice, to investigate RORalpha1 signalling (and function) in this peripheral tissue. Expression profiling and pathway analysis indicated that RORalpha regulated genes involved in: (i) lipid and carbohydrate metabolism, cardiovascular and metabolic disease; and (ii) the LXR nuclear receptor signaling pathway and, (iii) the Akt and AMPK signaling cascades. This analysis was extensively validated by rigorous qPCR analysis using TaqMan Low Density Arrays, coupled to rigorous statistical analysis (with Empirical Bayes, and Benjamini-Hochberg). Moreover, westerns and metabolic profiling were utilized to validate the genes, proteins and pathways (lipogenic, Akt, AMPK and fatty acid oxidation) involved in the regulation of metabolism by RORalph1. The identified genes and pathways were in concordance with the demonstration of hyperglycemia, glucose intolerance, attenuated insulin stimulated phosphorylation of Akt, and impaired glucose uptake in the transgenic heterozygous Tg-RORalpha∆DE animals. In conclusion, we propose that RORalpha1 is involved in regulating the Akt2-AMPK signalling pathways in the context of lipid homeostasis in skeletal muscle.

ORGANISM(S): Mus musculus

PROVIDER: GSE20646 | GEO | 2010/04/01

SECONDARY ACCESSION(S): PRJNA124869

REPOSITORIES: GEO

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