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Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation
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. W...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709589/ https://www.ncbi.nlm.nih.gov/pubmed/19474344 http://dx.doi.org/10.1093/nar/gkp413 |
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author | Kamalakaran, Sitharthan Kendall, Jude Zhao, Xiaoyue Tang, Chunlao Khan, Sohail Ravi, Kandasamy Auletta, Theresa Riggs, Michael Wang, Yun Helland, Åslaug Naume, Bjørn Dimitrova, Nevenka Børresen-Dale, Anne-Lise Hicks, Jim Lucito, Robert |
author_facet | Kamalakaran, Sitharthan Kendall, Jude Zhao, Xiaoyue Tang, Chunlao Khan, Sohail Ravi, Kandasamy Auletta, Theresa Riggs, Michael Wang, Yun Helland, Åslaug Naume, Bjørn Dimitrova, Nevenka Børresen-Dale, Anne-Lise Hicks, Jim Lucito, Robert |
author_sort | Kamalakaran, Sitharthan |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2709589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27095892009-07-14 Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation Kamalakaran, Sitharthan Kendall, Jude Zhao, Xiaoyue Tang, Chunlao Khan, Sohail Ravi, Kandasamy Auletta, Theresa Riggs, Michael Wang, Yun Helland, Åslaug Naume, Bjørn Dimitrova, Nevenka Børresen-Dale, Anne-Lise Hicks, Jim Lucito, Robert Nucleic Acids Res Methods Online 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. Oxford University Press 2009-07 2009-05-27 /pmc/articles/PMC2709589/ /pubmed/19474344 http://dx.doi.org/10.1093/nar/gkp413 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Kamalakaran, Sitharthan Kendall, Jude Zhao, Xiaoyue Tang, Chunlao Khan, Sohail Ravi, Kandasamy Auletta, Theresa Riggs, Michael Wang, Yun Helland, Åslaug Naume, Bjørn Dimitrova, Nevenka Børresen-Dale, Anne-Lise Hicks, Jim Lucito, Robert Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation |
title | Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation |
title_full | Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation |
title_fullStr | Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation |
title_full_unstemmed | Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation |
title_short | Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation |
title_sort | methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of cpg island methylation |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709589/ https://www.ncbi.nlm.nih.gov/pubmed/19474344 http://dx.doi.org/10.1093/nar/gkp413 |
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