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Experimental factors affecting the robustness of DNA methylation analysis

Diverging methylation frequencies are often reported for the same locus in the same disease, underscoring the need for limiting technical variability in DNA methylation analyses. We have investigated seven likely sources of variability at different steps of bisulfite PCR-based DNA methylation analys...

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Autores principales: Pharo, Heidi D., Honne, Hilde, Vedeld, Hege M., Dahl, Christina, Andresen, Kim, Liestøl, Knut, Jeanmougin, Marine, Guldberg, Per, Lind, Guro E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037394/
https://www.ncbi.nlm.nih.gov/pubmed/27671843
http://dx.doi.org/10.1038/srep33936
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author Pharo, Heidi D.
Honne, Hilde
Vedeld, Hege M.
Dahl, Christina
Andresen, Kim
Liestøl, Knut
Jeanmougin, Marine
Guldberg, Per
Lind, Guro E.
author_facet Pharo, Heidi D.
Honne, Hilde
Vedeld, Hege M.
Dahl, Christina
Andresen, Kim
Liestøl, Knut
Jeanmougin, Marine
Guldberg, Per
Lind, Guro E.
author_sort Pharo, Heidi D.
collection PubMed
description Diverging methylation frequencies are often reported for the same locus in the same disease, underscoring the need for limiting technical variability in DNA methylation analyses. We have investigated seven likely sources of variability at different steps of bisulfite PCR-based DNA methylation analyses using a fully automated quantitative methylation-specific PCR setup of six gene promoters across 20 colon cancer cell lines. Based on >15,000 individual PCRs, all tested parameters affected the normalized percent of methylated reference (PMR) differences, with a fourfold varying magnitude. Additionally, large variations were observed across the six genes analyzed. The highest variation was seen using single-copy genes as reference for normalization, followed by different amounts of template in the PCR, different amounts of DNA in the bisulfite reaction, and storage of bisulfite converted samples. Finally, when a highly standardized pipeline was repeated, the difference in PMR value for the same assay in the same cell line was on average limited to five (on a 0–100 scale). In conclusion, a standardized pipeline is essential for consistent methylation results, where parameters are kept constant for all samples. Nevertheless, a certain level of variation in methylation values must be expected, underscoring the need for careful interpretation of data.
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spelling pubmed-50373942016-09-30 Experimental factors affecting the robustness of DNA methylation analysis Pharo, Heidi D. Honne, Hilde Vedeld, Hege M. Dahl, Christina Andresen, Kim Liestøl, Knut Jeanmougin, Marine Guldberg, Per Lind, Guro E. Sci Rep Article Diverging methylation frequencies are often reported for the same locus in the same disease, underscoring the need for limiting technical variability in DNA methylation analyses. We have investigated seven likely sources of variability at different steps of bisulfite PCR-based DNA methylation analyses using a fully automated quantitative methylation-specific PCR setup of six gene promoters across 20 colon cancer cell lines. Based on >15,000 individual PCRs, all tested parameters affected the normalized percent of methylated reference (PMR) differences, with a fourfold varying magnitude. Additionally, large variations were observed across the six genes analyzed. The highest variation was seen using single-copy genes as reference for normalization, followed by different amounts of template in the PCR, different amounts of DNA in the bisulfite reaction, and storage of bisulfite converted samples. Finally, when a highly standardized pipeline was repeated, the difference in PMR value for the same assay in the same cell line was on average limited to five (on a 0–100 scale). In conclusion, a standardized pipeline is essential for consistent methylation results, where parameters are kept constant for all samples. Nevertheless, a certain level of variation in methylation values must be expected, underscoring the need for careful interpretation of data. Nature Publishing Group 2016-09-27 /pmc/articles/PMC5037394/ /pubmed/27671843 http://dx.doi.org/10.1038/srep33936 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Pharo, Heidi D.
Honne, Hilde
Vedeld, Hege M.
Dahl, Christina
Andresen, Kim
Liestøl, Knut
Jeanmougin, Marine
Guldberg, Per
Lind, Guro E.
Experimental factors affecting the robustness of DNA methylation analysis
title Experimental factors affecting the robustness of DNA methylation analysis
title_full Experimental factors affecting the robustness of DNA methylation analysis
title_fullStr Experimental factors affecting the robustness of DNA methylation analysis
title_full_unstemmed Experimental factors affecting the robustness of DNA methylation analysis
title_short Experimental factors affecting the robustness of DNA methylation analysis
title_sort experimental factors affecting the robustness of dna methylation analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037394/
https://www.ncbi.nlm.nih.gov/pubmed/27671843
http://dx.doi.org/10.1038/srep33936
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