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Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes
Different DNA methylation patterns presented on different tissues or cell types are considered as one of the main reasons accounting for the tissue-specific gene expressions. In recent years, many methods have been proposed to identify differentially methylated regions (DMRs) based on the mixture of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273290/ https://www.ncbi.nlm.nih.gov/pubmed/34262601 http://dx.doi.org/10.3389/fgene.2021.697279 |
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author | Peng, Xiaoqing Li, Yiming Kong, Xiangyan Zhu, Xiaoshu Ding, Xiaojun |
author_facet | Peng, Xiaoqing Li, Yiming Kong, Xiangyan Zhu, Xiaoshu Ding, Xiaojun |
author_sort | Peng, Xiaoqing |
collection | PubMed |
description | Different DNA methylation patterns presented on different tissues or cell types are considered as one of the main reasons accounting for the tissue-specific gene expressions. In recent years, many methods have been proposed to identify differentially methylated regions (DMRs) based on the mixture of methylation signals from homologous chromosomes. To investigate the possible influence of homologous chromosomes on methylation analysis, this paper proposed a method (MHap) to construct methylation haplotypes for homologous chromosomes in CpG dense regions. Through comparing the methylation consistency between homologous chromosomes in different cell types, it can be found that majority of paired methylation haplotypes derived from homologous chromosomes are consistent, while a lower methylation consistency was observed in the breast cancer sample. It also can be observed that the hypomethylation consistency of differentiated cells is higher than that of the corresponding undifferentiated stem cells. Furthermore, based on the methylation haplotypes constructed on homologous chromosomes, a method (MHap_DMR) is developed to identify DMRs between differentiated cells and the corresponding undifferentiated stem cells, or between the breast cancer sample and the normal breast sample. Through comparing the methylation haplotype modes of DMRs in two cell types, the DNA methylation changing directions of homologous chromosomes in cell differentiation and cancerization can be revealed. The code is available at: https://github.com/xqpeng/MHap_DMR. |
format | Online Article Text |
id | pubmed-8273290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82732902021-07-13 Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes Peng, Xiaoqing Li, Yiming Kong, Xiangyan Zhu, Xiaoshu Ding, Xiaojun Front Genet Genetics Different DNA methylation patterns presented on different tissues or cell types are considered as one of the main reasons accounting for the tissue-specific gene expressions. In recent years, many methods have been proposed to identify differentially methylated regions (DMRs) based on the mixture of methylation signals from homologous chromosomes. To investigate the possible influence of homologous chromosomes on methylation analysis, this paper proposed a method (MHap) to construct methylation haplotypes for homologous chromosomes in CpG dense regions. Through comparing the methylation consistency between homologous chromosomes in different cell types, it can be found that majority of paired methylation haplotypes derived from homologous chromosomes are consistent, while a lower methylation consistency was observed in the breast cancer sample. It also can be observed that the hypomethylation consistency of differentiated cells is higher than that of the corresponding undifferentiated stem cells. Furthermore, based on the methylation haplotypes constructed on homologous chromosomes, a method (MHap_DMR) is developed to identify DMRs between differentiated cells and the corresponding undifferentiated stem cells, or between the breast cancer sample and the normal breast sample. Through comparing the methylation haplotype modes of DMRs in two cell types, the DNA methylation changing directions of homologous chromosomes in cell differentiation and cancerization can be revealed. The code is available at: https://github.com/xqpeng/MHap_DMR. Frontiers Media S.A. 2021-06-28 /pmc/articles/PMC8273290/ /pubmed/34262601 http://dx.doi.org/10.3389/fgene.2021.697279 Text en Copyright © 2021 Peng, Li, Kong, Zhu and Ding. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Peng, Xiaoqing Li, Yiming Kong, Xiangyan Zhu, Xiaoshu Ding, Xiaojun Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes |
title | Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes |
title_full | Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes |
title_fullStr | Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes |
title_full_unstemmed | Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes |
title_short | Investigating Different DNA Methylation Patterns at the Resolution of Methylation Haplotypes |
title_sort | investigating different dna methylation patterns at the resolution of methylation haplotypes |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273290/ https://www.ncbi.nlm.nih.gov/pubmed/34262601 http://dx.doi.org/10.3389/fgene.2021.697279 |
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