Cargando…
Region-Specific Methylation Profiling in Acute Myeloid Leukemia
Alteration of DNA methylation level in cancer diseases leads to deregulation of gene expression—silencing of tumor suppressor genes and enhancing of protooncogenes. There are several tools devoted to the problem of identification of CpG sites' demethylation but majority of them focuses on singl...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838208/ https://www.ncbi.nlm.nih.gov/pubmed/29405013 http://dx.doi.org/10.1007/s12539-018-0285-4 |
_version_ | 1783304210761121792 |
---|---|
author | Cecotka, Agnieszka Polanska, Joanna |
author_facet | Cecotka, Agnieszka Polanska, Joanna |
author_sort | Cecotka, Agnieszka |
collection | PubMed |
description | Alteration of DNA methylation level in cancer diseases leads to deregulation of gene expression—silencing of tumor suppressor genes and enhancing of protooncogenes. There are several tools devoted to the problem of identification of CpG sites' demethylation but majority of them focuses on single site level and does not allow for quantification of region methylation changes. The aim was to create an adaptive algorithm supporting detection of differentially methylated CpG sites and genomic regions specific for acute myeloid leukemia. Knowledge on AML methylation fingerprint helps in better understanding the epigenetics of leukemogenesis. Proposed algorithm is data driven and does not use predefined quantification thresholds. Gaussian mixture modeling supports classification of CpG sites to several levels of demethylation. p value integration allows for translation from single site demethylation to the demethylation of gene promoter and body regions. Methylation profiles of healthy controls and AML patients were examined (GEO:GSE63409). The differences in whole genome methylation profiles were observed. The methylation profile differs significantly among genomic regions. The lowest methylation level was observed for promoter regions, while sites from intergenic regions were by average higher methylated. The observed number of AML related down methylated sites has not substantially exceeded the expected number by chance. Intergenic regions were characterized by the highest percentage of AML up methylated sites. Methylation enhancement/diminution is the most frequent for intergenic region while methylation compensation (positive or negative) is specific for promoter regions. Functional analysis performed for AML down methylated or extreme high up methylated genes showed strong connection to the leukemic processes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12539-018-0285-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5838208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-58382082018-03-09 Region-Specific Methylation Profiling in Acute Myeloid Leukemia Cecotka, Agnieszka Polanska, Joanna Interdiscip Sci Original Research Article Alteration of DNA methylation level in cancer diseases leads to deregulation of gene expression—silencing of tumor suppressor genes and enhancing of protooncogenes. There are several tools devoted to the problem of identification of CpG sites' demethylation but majority of them focuses on single site level and does not allow for quantification of region methylation changes. The aim was to create an adaptive algorithm supporting detection of differentially methylated CpG sites and genomic regions specific for acute myeloid leukemia. Knowledge on AML methylation fingerprint helps in better understanding the epigenetics of leukemogenesis. Proposed algorithm is data driven and does not use predefined quantification thresholds. Gaussian mixture modeling supports classification of CpG sites to several levels of demethylation. p value integration allows for translation from single site demethylation to the demethylation of gene promoter and body regions. Methylation profiles of healthy controls and AML patients were examined (GEO:GSE63409). The differences in whole genome methylation profiles were observed. The methylation profile differs significantly among genomic regions. The lowest methylation level was observed for promoter regions, while sites from intergenic regions were by average higher methylated. The observed number of AML related down methylated sites has not substantially exceeded the expected number by chance. Intergenic regions were characterized by the highest percentage of AML up methylated sites. Methylation enhancement/diminution is the most frequent for intergenic region while methylation compensation (positive or negative) is specific for promoter regions. Functional analysis performed for AML down methylated or extreme high up methylated genes showed strong connection to the leukemic processes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12539-018-0285-4) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-02-05 2018 /pmc/articles/PMC5838208/ /pubmed/29405013 http://dx.doi.org/10.1007/s12539-018-0285-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Cecotka, Agnieszka Polanska, Joanna Region-Specific Methylation Profiling in Acute Myeloid Leukemia |
title | Region-Specific Methylation Profiling in Acute Myeloid Leukemia |
title_full | Region-Specific Methylation Profiling in Acute Myeloid Leukemia |
title_fullStr | Region-Specific Methylation Profiling in Acute Myeloid Leukemia |
title_full_unstemmed | Region-Specific Methylation Profiling in Acute Myeloid Leukemia |
title_short | Region-Specific Methylation Profiling in Acute Myeloid Leukemia |
title_sort | region-specific methylation profiling in acute myeloid leukemia |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838208/ https://www.ncbi.nlm.nih.gov/pubmed/29405013 http://dx.doi.org/10.1007/s12539-018-0285-4 |
work_keys_str_mv | AT cecotkaagnieszka regionspecificmethylationprofilinginacutemyeloidleukemia AT polanskajoanna regionspecificmethylationprofilinginacutemyeloidleukemia |