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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...

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Autores principales: Rijlaarsdam, Martin A, van der Zwan, Yvonne G, Dorssers, Lambert CJ, Looijenga, Leendert HJ
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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