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Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation
Authors:Sitharthan Kamalakaran  Jude Kendall  Xiaoyue Zhao  Chunlao Tang  Sohail Khan  Kandasamy Ravi  Theresa Auletta  Michael Riggs  Yun Wang   slaug Helland  Bjrn Naume  Nevenka Dimitrova  Anne-Lise Brresen-Dale  Jim Hicks  and Robert Lucito
Institution:Sitharthan Kamalakaran, Jude Kendall, Xiaoyue Zhao, Chunlao Tang, Sohail Khan, Kandasamy Ravi, Theresa Auletta, Michael Riggs, Yun Wang, Åslaug Helland, Bjørn Naume, Nevenka Dimitrova, Anne-Lise Børresen-Dale, Jim Hicks, and Robert Lucito
Abstract:Methylation of CpG islands associated with genes can affect the expression of the proximal gene, and methylation of non-associated CpG islands correlates to genomic instability. This epigenetic modification has been shown to be important in many pathologies, from development and disease to cancer. We report the development of a novel high-resolution microarray that detects the methylation status of over 25 000 CpG islands in the human genome. Experiments were performed to demonstrate low system noise in the methodology and that the array probes have a high signal to noise ratio. Methylation measurements between different cell lines were validated demonstrating the accuracy of measurement. We then identified alterations in CpG islands, both those associated with gene promoters, as well as non-promoter-associated islands in a set of breast and ovarian tumors. We demonstrate that this methodology accurately identifies methylation profiles in cancer and in principle it can differentiate any CpG methylation alterations and can be adapted to analyze other species.
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