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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3527579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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