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DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles
BACKGROUND: Array based methylation profiling is a cost-effective solution to study the association between genome methylation and human disease & development. Available tools to analyze the Illumina Infinium HumanMethylation450 BeadChip focus on comparing methylation levels per locus. Other too...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046028/ https://www.ncbi.nlm.nih.gov/pubmed/24884391 http://dx.doi.org/10.1186/1471-2105-15-141 |
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author | Rijlaarsdam, Martin A van der Zwan, Yvonne G Dorssers, Lambert CJ Looijenga, Leendert HJ |
author_facet | Rijlaarsdam, Martin A van der Zwan, Yvonne G Dorssers, Lambert CJ Looijenga, Leendert HJ |
author_sort | Rijlaarsdam, Martin A |
collection | PubMed |
description | BACKGROUND: Array based methylation profiling is a cost-effective solution to study the association between genome methylation and human disease & development. Available tools to analyze the Illumina Infinium HumanMethylation450 BeadChip focus on comparing methylation levels per locus. Other tools combine multiple probes into a range, identifying differential methylated regions (DMRs). These tools all require groups of samples to compare. However, comparison of unique, individual samples is essential in situations where larger sample sizes are not possible. RESULTS: DMRforPairs was designed to compare regional methylation status between unique samples. It identifies probe dense genomic regions and quantifies/tests their (difference in) methylation level between the samples. As a proof of concept, DMRforPairs is applied to public data from four human cell lines: two lymphoblastoid cell lines from healthy individuals and the cancer cell lines A431 and MCF7 (including 2 technical replicates each). DMRforPairs identified an increasing number of DMRs related to the sample phenotype when biological similarity of the samples decreased. DMRs identified by DMRforPairs were related to the biological origin of the cell lines. CONCLUSION: To our knowledge, DMRforPairs is the first tool to identify and visualize relevant and significant differentially methylated regions between unique samples. |
format | Online Article Text |
id | pubmed-4046028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40460282014-06-06 DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles Rijlaarsdam, Martin A van der Zwan, Yvonne G Dorssers, Lambert CJ Looijenga, Leendert HJ BMC Bioinformatics Software BACKGROUND: Array based methylation profiling is a cost-effective solution to study the association between genome methylation and human disease & development. Available tools to analyze the Illumina Infinium HumanMethylation450 BeadChip focus on comparing methylation levels per locus. Other tools combine multiple probes into a range, identifying differential methylated regions (DMRs). These tools all require groups of samples to compare. However, comparison of unique, individual samples is essential in situations where larger sample sizes are not possible. RESULTS: DMRforPairs was designed to compare regional methylation status between unique samples. It identifies probe dense genomic regions and quantifies/tests their (difference in) methylation level between the samples. As a proof of concept, DMRforPairs is applied to public data from four human cell lines: two lymphoblastoid cell lines from healthy individuals and the cancer cell lines A431 and MCF7 (including 2 technical replicates each). DMRforPairs identified an increasing number of DMRs related to the sample phenotype when biological similarity of the samples decreased. DMRs identified by DMRforPairs were related to the biological origin of the cell lines. CONCLUSION: To our knowledge, DMRforPairs is the first tool to identify and visualize relevant and significant differentially methylated regions between unique samples. BioMed Central 2014-05-15 /pmc/articles/PMC4046028/ /pubmed/24884391 http://dx.doi.org/10.1186/1471-2105-15-141 Text en Copyright © 2014 Rijlaarsdam et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Rijlaarsdam, Martin A van der Zwan, Yvonne G Dorssers, Lambert CJ Looijenga, Leendert HJ DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles |
title | DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles |
title_full | DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles |
title_fullStr | DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles |
title_full_unstemmed | DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles |
title_short | DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles |
title_sort | dmrforpairs: identifying differentially methylated regions between unique samples using array based methylation profiles |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046028/ https://www.ncbi.nlm.nih.gov/pubmed/24884391 http://dx.doi.org/10.1186/1471-2105-15-141 |
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