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DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription

Previous studies have now demonstrated that both genic and global hypomethylation characterizes the multiple myeloma (MM) epigenome. Whether these methylation changes are associated with global and corresponding increases (or decreases) in transcriptional activity are poorly understood. The purpose...

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Autores principales: Jung, Sungwon, Kim, Seungchan, Gale, Molly, Cherni, Irene, Fonseca, Rafael, Carpten, John, Salhia, Bodour
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3527579/
https://www.ncbi.nlm.nih.gov/pubmed/23285118
http://dx.doi.org/10.1371/journal.pone.0052626
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author Jung, Sungwon
Kim, Seungchan
Gale, Molly
Cherni, Irene
Fonseca, Rafael
Carpten, John
Salhia, Bodour
author_facet Jung, Sungwon
Kim, Seungchan
Gale, Molly
Cherni, Irene
Fonseca, Rafael
Carpten, John
Salhia, Bodour
author_sort Jung, Sungwon
collection PubMed
description Previous studies have now demonstrated that both genic and global hypomethylation characterizes the multiple myeloma (MM) epigenome. Whether these methylation changes are associated with global and corresponding increases (or decreases) in transcriptional activity are poorly understood. The purpose of our current study was to correlate DNA methylation levels in MM to gene expression. We analyzed matching datasets generated by the GoldenGate methylation BeadArray and Affymetrix gene expression platforms in 193 MM samples. We subsequently utilized two independent statistical approaches to identify methylation-expression correlations. In the first approach, we used a linear correlation parameter by computing a Pearson correlation coefficient. In the second approach, we discretized samples into low and high methylation groups and then compared the gene expression differences between the groups. Only methylation of 2.1% and 25.3% of CpG sites on the methylation array correlated to gene expression by Pearson correlation or the discretization method, respectively. Among the genes with methylation-expression correlations were IGF1R, DLC1, p16, and IL17RB. In conclusion, DNA methylation may directly regulate relatively few genes and suggests that additional studies are needed to determine the effects of genome-wide methylation changes in MM.
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spelling pubmed-35275792013-01-02 DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription Jung, Sungwon Kim, Seungchan Gale, Molly Cherni, Irene Fonseca, Rafael Carpten, John Salhia, Bodour PLoS One Research Article Previous studies have now demonstrated that both genic and global hypomethylation characterizes the multiple myeloma (MM) epigenome. Whether these methylation changes are associated with global and corresponding increases (or decreases) in transcriptional activity are poorly understood. The purpose of our current study was to correlate DNA methylation levels in MM to gene expression. We analyzed matching datasets generated by the GoldenGate methylation BeadArray and Affymetrix gene expression platforms in 193 MM samples. We subsequently utilized two independent statistical approaches to identify methylation-expression correlations. In the first approach, we used a linear correlation parameter by computing a Pearson correlation coefficient. In the second approach, we discretized samples into low and high methylation groups and then compared the gene expression differences between the groups. Only methylation of 2.1% and 25.3% of CpG sites on the methylation array correlated to gene expression by Pearson correlation or the discretization method, respectively. Among the genes with methylation-expression correlations were IGF1R, DLC1, p16, and IL17RB. In conclusion, DNA methylation may directly regulate relatively few genes and suggests that additional studies are needed to determine the effects of genome-wide methylation changes in MM. Public Library of Science 2012-12-20 /pmc/articles/PMC3527579/ /pubmed/23285118 http://dx.doi.org/10.1371/journal.pone.0052626 Text en © 2012 Jung 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
Jung, Sungwon
Kim, Seungchan
Gale, Molly
Cherni, Irene
Fonseca, Rafael
Carpten, John
Salhia, Bodour
DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
title DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
title_full DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
title_fullStr DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
title_full_unstemmed DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
title_short DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
title_sort dna methylation in multiple myeloma is weakly associated with gene transcription
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3527579/
https://www.ncbi.nlm.nih.gov/pubmed/23285118
http://dx.doi.org/10.1371/journal.pone.0052626
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