Identification of nover growth signalling pathway in sheep skeletal muscle by comparative microarray analysis

Gong, Shulin (2010) Identification of nover growth signalling pathway in sheep skeletal muscle by comparative microarray analysis. MRes thesis, University of Nottingham.

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The feed conversion efficiency can be improved through increasing the ratio of lean to fat deposition in animal. The benefits of this involve decrease production costs, increase produce quality, reducing grazing pressure and decreasing nitrogenous excretion into the environment. Since beta agonists and growth hormone result in muscle fibre hypertrophy and changes in muscle fibre type composition, also promote a rise in muscle mass and abatement in fat, therefore there are good methods to increase the feed conversion efficiency. In order to improve feed conversion efficiency, the mechanisms of reaction need to be study.

For this project, the aim is to identify growth signaling pathways in skeletal muscle. Since an appropriate sheep-specific microarray was unavailable, a human affymetric arrary and genomic DNA hybridization were used to investigate effects of BA and GH on the sheep muscle transcriptome. Microarray data was analyzed using Ingenuity Pathway Analysis software and GeneSpring. The microarray analysis results were conformed by real-time quantitative RT-PCR.

As the results of this project, there were some target genes and signaling pathways had been identified, these included AKT1 pathway and PSAT1 pathway which associated with protein synthesis; and citrate cycle pathway, oxidative phosphorylation pathway and glycolysis pathway which correlated with energy metabolism. These pathways were predominantly associated with beta-agonists response in comparison there were only relatively minor effects of growth hormone.

Item Type: Thesis (University of Nottingham only) (MRes)
Supervisors: Scott, D.J.
Subjects: Q Science > QH Natural history. Biology > QH426 Genetics
Faculties/Schools: UK Campuses > Faculty of Science > School of Biosciences
Item ID: 11591
Depositing User: EP, Services
Date Deposited: 05 Dec 2011 13:47
Last Modified: 19 Oct 2017 20:12

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