501. Microarray analysis of insulin-regulated gene expression in the liver: the use of transgenic mice co-expressing insulin-siRNA and human IDE as an animal model.
- Author
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Jee S, Hwang D, Seo S, Kim Y, Kim C, Kim B, Shim S, Lee S, Sin J, Bae C, Lee B, Jang M, Kim M, Yim S, Jang I, Cho J, and Chae K
- Subjects
- Animals, Humans, Insulin genetics, Insulysin genetics, Mice, Molecular Sequence Data, Oligonucleotide Array Sequence Analysis, RNA, Small Interfering genetics, Gene Expression Profiling, Gene Expression Regulation, Insulin metabolism, Insulysin metabolism, Liver physiology, Mice, Transgenic, RNA, Small Interfering metabolism
- Abstract
To characterize the changes in global gene expression in the livers of H1/siRNAinsulin-CMV/hIDE transgenic (Tg) mice in response to the reduced bioavailability of insulin, total RNA extracted from the livers of 20-week-old Tg and non-Tg mice was converted to cDNA, labeled with biotin and hybridized to oligonucleotide microarrays. The microarray results were confirmed by a real-time reverse transcription-polymerase chain reaction. Two hundred and fifty-one and 73 genes were up- and down-regulated, respectively by insulin in H1/siRNAinsulin-CMV/hIDE Tg mice compared to the controls. Genes encoding for physiological processes, extracellular defense response and response to biotic stimuli were significantly over-represented in the up-regulated group. Among the down-regulated transcripts, those encoding for extracellular matrix proteins were dramatically over-represented, followed by those related to monooxygenase and oxidoreductase activities. The major genes in the up-regulated categories included Egr1, Saa2, Atf3, DNAJB1 and cCL2, whereas those in the down-regulated categories were Cyp17a1, Adn, Gadd45g, Eno3 and Moxd1. These results indicate that the microarray analysis identifies several gene functional groups and individual genes that respond to a sustained reduction in the insulin levels in the livers of Tg mice. These results also suggest that microarray testing is a useful tool for the better understanding of insulin-regulated diabetes-related diseases.
- Published
- 2007