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Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins

Alteration of DNA methylation in mammalian cells could be elicited by many factors, including viral infections [1]. HIV has shown the ability to interact with host cellular factors to change the methylation status of some genes [2], [3], [4]. However, the change of the DNA methylation associated wit...

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Autores principales: Zhang, Yinfeng, Li, Sai-Kam, Tsui, Stephen Kwok-Wing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664672/
https://www.ncbi.nlm.nih.gov/pubmed/26697319
http://dx.doi.org/10.1016/j.gdata.2015.07.024
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author Zhang, Yinfeng
Li, Sai-Kam
Tsui, Stephen Kwok-Wing
author_facet Zhang, Yinfeng
Li, Sai-Kam
Tsui, Stephen Kwok-Wing
author_sort Zhang, Yinfeng
collection PubMed
description Alteration of DNA methylation in mammalian cells could be elicited by many factors, including viral infections [1]. HIV has shown the ability to interact with host cellular factors to change the methylation status of some genes [2], [3], [4]. However, the change of the DNA methylation associated with HIV infection based on the whole genome has not been well illustrated. In this study, a unique pair of monozygotic twins was recruited: one of the twins was infected with HIV without further anti-retroviral therapy while the other one was healthy, which could be considered as a relatively ideal model for profiling the alterations of DNA methylation associated with HIV infection. Therefore, using methylated DNA immunoprecipitation–microarray method (MeDIP–microarray), we found the increased DNA methylation level in peripheral blood mononuclear cells from HIV infected twin compared to her normal sibling. Moreover, several distinguished differential methylation regions (DMRs) in HIV infected twin worth further study. The raw data has been deposited in Gene Expression Omnibus (GEO) datasets with reference number GSE68028.
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spelling pubmed-46646722015-12-22 Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins Zhang, Yinfeng Li, Sai-Kam Tsui, Stephen Kwok-Wing Genom Data Data in Brief Alteration of DNA methylation in mammalian cells could be elicited by many factors, including viral infections [1]. HIV has shown the ability to interact with host cellular factors to change the methylation status of some genes [2], [3], [4]. However, the change of the DNA methylation associated with HIV infection based on the whole genome has not been well illustrated. In this study, a unique pair of monozygotic twins was recruited: one of the twins was infected with HIV without further anti-retroviral therapy while the other one was healthy, which could be considered as a relatively ideal model for profiling the alterations of DNA methylation associated with HIV infection. Therefore, using methylated DNA immunoprecipitation–microarray method (MeDIP–microarray), we found the increased DNA methylation level in peripheral blood mononuclear cells from HIV infected twin compared to her normal sibling. Moreover, several distinguished differential methylation regions (DMRs) in HIV infected twin worth further study. The raw data has been deposited in Gene Expression Omnibus (GEO) datasets with reference number GSE68028. Elsevier 2015-07-30 /pmc/articles/PMC4664672/ /pubmed/26697319 http://dx.doi.org/10.1016/j.gdata.2015.07.024 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Zhang, Yinfeng
Li, Sai-Kam
Tsui, Stephen Kwok-Wing
Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins
title Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins
title_full Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins
title_fullStr Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins
title_full_unstemmed Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins
title_short Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins
title_sort genome-wide analysis of dna methylation associated with hiv infection based on a pair of monozygotic twins
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664672/
https://www.ncbi.nlm.nih.gov/pubmed/26697319
http://dx.doi.org/10.1016/j.gdata.2015.07.024
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