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Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
There is increasing interest in the development of cost-effective techniques for the quantification of DNA methylation biomarkers. We analyzed 90 samples of surgically resected colorectal cancer tissues for APC and CDKN2A promoter methylation using methylation sensitive-high resolution melting (MS-H...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543439/ https://www.ncbi.nlm.nih.gov/pubmed/23326336 http://dx.doi.org/10.1371/journal.pone.0052501 |
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author | Migheli, Francesca Stoccoro, Andrea Coppedè, Fabio Wan Omar, Wan Adnan Failli, Alessandra Consolini, Rita Seccia, Massimo Spisni, Roberto Miccoli, Paolo Mathers, John C. Migliore, Lucia |
author_facet | Migheli, Francesca Stoccoro, Andrea Coppedè, Fabio Wan Omar, Wan Adnan Failli, Alessandra Consolini, Rita Seccia, Massimo Spisni, Roberto Miccoli, Paolo Mathers, John C. Migliore, Lucia |
author_sort | Migheli, Francesca |
collection | PubMed |
description | There is increasing interest in the development of cost-effective techniques for the quantification of DNA methylation biomarkers. We analyzed 90 samples of surgically resected colorectal cancer tissues for APC and CDKN2A promoter methylation using methylation sensitive-high resolution melting (MS-HRM) and pyrosequencing. MS-HRM is a less expensive technique compared with pyrosequencing but is usually more limited because it gives a range of methylation estimates rather than a single value. Here, we developed a method for deriving single estimates, rather than a range, of methylation using MS-HRM and compared the values obtained in this way with those obtained using the gold standard quantitative method of pyrosequencing. We derived an interpolation curve using standards of known methylated/unmethylated ratio (0%, 12.5%, 25%, 50%, 75%, and 100% of methylation) to obtain the best estimate of the extent of methylation for each of our samples. We observed similar profiles of methylation and a high correlation coefficient between the two techniques. Overall, our new approach allows MS-HRM to be used as a quantitative assay which provides results which are comparable with those obtained by pyrosequencing. |
format | Online Article Text |
id | pubmed-3543439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35434392013-01-16 Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation Migheli, Francesca Stoccoro, Andrea Coppedè, Fabio Wan Omar, Wan Adnan Failli, Alessandra Consolini, Rita Seccia, Massimo Spisni, Roberto Miccoli, Paolo Mathers, John C. Migliore, Lucia PLoS One Research Article There is increasing interest in the development of cost-effective techniques for the quantification of DNA methylation biomarkers. We analyzed 90 samples of surgically resected colorectal cancer tissues for APC and CDKN2A promoter methylation using methylation sensitive-high resolution melting (MS-HRM) and pyrosequencing. MS-HRM is a less expensive technique compared with pyrosequencing but is usually more limited because it gives a range of methylation estimates rather than a single value. Here, we developed a method for deriving single estimates, rather than a range, of methylation using MS-HRM and compared the values obtained in this way with those obtained using the gold standard quantitative method of pyrosequencing. We derived an interpolation curve using standards of known methylated/unmethylated ratio (0%, 12.5%, 25%, 50%, 75%, and 100% of methylation) to obtain the best estimate of the extent of methylation for each of our samples. We observed similar profiles of methylation and a high correlation coefficient between the two techniques. Overall, our new approach allows MS-HRM to be used as a quantitative assay which provides results which are comparable with those obtained by pyrosequencing. Public Library of Science 2013-01-11 /pmc/articles/PMC3543439/ /pubmed/23326336 http://dx.doi.org/10.1371/journal.pone.0052501 Text en © 2013 Migheli et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Migheli, Francesca Stoccoro, Andrea Coppedè, Fabio Wan Omar, Wan Adnan Failli, Alessandra Consolini, Rita Seccia, Massimo Spisni, Roberto Miccoli, Paolo Mathers, John C. Migliore, Lucia Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation |
title | Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation |
title_full | Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation |
title_fullStr | Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation |
title_full_unstemmed | Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation |
title_short | Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation |
title_sort | comparison study of ms-hrm and pyrosequencing techniques for quantification of apc and cdkn2a gene methylation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543439/ https://www.ncbi.nlm.nih.gov/pubmed/23326336 http://dx.doi.org/10.1371/journal.pone.0052501 |
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