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Microarray-based DNA methylation profiling: technology and applications
This work is dedicated to the development of a technology for unbiased, high-throughput DNA methylation profiling of large genomic regions. In this method, unmethylated and methylated DNA fractions are enriched using a series of treatments with methylation sensitive restriction enzymes, and interrog...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1345696/ https://www.ncbi.nlm.nih.gov/pubmed/16428248 http://dx.doi.org/10.1093/nar/gkj461 |
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author | Schumacher, Axel Kapranov, Philipp Kaminsky, Zachary Flanagan, James Assadzadeh, Abbas Yau, Patrick Virtanen, Carl Winegarden, Neil Cheng, Jill Gingeras, Thomas Petronis, Arturas |
author_facet | Schumacher, Axel Kapranov, Philipp Kaminsky, Zachary Flanagan, James Assadzadeh, Abbas Yau, Patrick Virtanen, Carl Winegarden, Neil Cheng, Jill Gingeras, Thomas Petronis, Arturas |
author_sort | Schumacher, Axel |
collection | PubMed |
description | This work is dedicated to the development of a technology for unbiased, high-throughput DNA methylation profiling of large genomic regions. In this method, unmethylated and methylated DNA fractions are enriched using a series of treatments with methylation sensitive restriction enzymes, and interrogated on microarrays. We have investigated various aspects of the technology including its replicability, informativeness, sensitivity and optimal PCR conditions using microarrays containing oligonucleotides representing 100 kb of genomic DNA derived from the chromosome 22 COMT region in addition to 12 192 element CpG island microarrays. Several new aspects of methylation profiling are provided, including the parallel identification of confounding effects of DNA sequence variation, the description of the principles of microarray design for epigenomic studies and the optimal choice of methylation sensitive restriction enzymes. We also demonstrate the advantages of using the unmethylated DNA fraction versus the methylated one, which substantially improve the chances of detecting DNA methylation differences. We applied this methodology for fine-mapping of methylation patterns of chromosomes 21 and 22 in eight individuals using tiling microarrays consisting of over 340 000 oligonucleotide probe pairs. The principles developed in this work will help to make epigenetic profiling of the entire human genome a routine procedure. |
format | Text |
id | pubmed-1345696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-13456962006-01-25 Microarray-based DNA methylation profiling: technology and applications Schumacher, Axel Kapranov, Philipp Kaminsky, Zachary Flanagan, James Assadzadeh, Abbas Yau, Patrick Virtanen, Carl Winegarden, Neil Cheng, Jill Gingeras, Thomas Petronis, Arturas Nucleic Acids Res Article This work is dedicated to the development of a technology for unbiased, high-throughput DNA methylation profiling of large genomic regions. In this method, unmethylated and methylated DNA fractions are enriched using a series of treatments with methylation sensitive restriction enzymes, and interrogated on microarrays. We have investigated various aspects of the technology including its replicability, informativeness, sensitivity and optimal PCR conditions using microarrays containing oligonucleotides representing 100 kb of genomic DNA derived from the chromosome 22 COMT region in addition to 12 192 element CpG island microarrays. Several new aspects of methylation profiling are provided, including the parallel identification of confounding effects of DNA sequence variation, the description of the principles of microarray design for epigenomic studies and the optimal choice of methylation sensitive restriction enzymes. We also demonstrate the advantages of using the unmethylated DNA fraction versus the methylated one, which substantially improve the chances of detecting DNA methylation differences. We applied this methodology for fine-mapping of methylation patterns of chromosomes 21 and 22 in eight individuals using tiling microarrays consisting of over 340 000 oligonucleotide probe pairs. The principles developed in this work will help to make epigenetic profiling of the entire human genome a routine procedure. Oxford University Press 2006 2006-01-20 /pmc/articles/PMC1345696/ /pubmed/16428248 http://dx.doi.org/10.1093/nar/gkj461 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Schumacher, Axel Kapranov, Philipp Kaminsky, Zachary Flanagan, James Assadzadeh, Abbas Yau, Patrick Virtanen, Carl Winegarden, Neil Cheng, Jill Gingeras, Thomas Petronis, Arturas Microarray-based DNA methylation profiling: technology and applications |
title | Microarray-based DNA methylation profiling: technology and applications |
title_full | Microarray-based DNA methylation profiling: technology and applications |
title_fullStr | Microarray-based DNA methylation profiling: technology and applications |
title_full_unstemmed | Microarray-based DNA methylation profiling: technology and applications |
title_short | Microarray-based DNA methylation profiling: technology and applications |
title_sort | microarray-based dna methylation profiling: technology and applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1345696/ https://www.ncbi.nlm.nih.gov/pubmed/16428248 http://dx.doi.org/10.1093/nar/gkj461 |
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