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 [2–4]. However, the change of the DNA methylation associated with HIV in...
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| Format: | Article |
| Language: | English |
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Elsevier
2015-12-01
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| Series: | Genomics Data |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213596015001683 |
| _version_ | 1819170714694975488 |
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| author | Yinfeng Zhang Sai-Kam Li Stephen Kwok-Wing Tsui |
| author_facet | Yinfeng Zhang Sai-Kam Li Stephen Kwok-Wing Tsui |
| author_sort | Yinfeng Zhang |
| collection | DOAJ |
| 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 [2–4]. 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. |
| first_indexed | 2024-12-22T19:39:47Z |
| format | Article |
| id | doaj.art-3b50cc2364294ab78ace51e81fbadf68 |
| institution | Directory Open Access Journal |
| issn | 2213-5960 |
| language | English |
| last_indexed | 2024-12-22T19:39:47Z |
| publishDate | 2015-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Genomics Data |
| spelling | doaj.art-3b50cc2364294ab78ace51e81fbadf682022-12-21T18:14:52ZengElsevierGenomics Data2213-59602015-12-016C121510.1016/j.gdata.2015.07.024Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twinsYinfeng Zhang0Sai-Kam Li1Stephen Kwok-Wing Tsui2School of Biomedical Sciences, The Chinese University of Hong Kong, Hong KongSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong KongSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong KongAlteration 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 [2–4]. 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.http://www.sciencedirect.com/science/article/pii/S2213596015001683HIVDNA methylationMonozygotic twinsMeDIP–microarray |
| spellingShingle | Yinfeng Zhang Sai-Kam Li Stephen Kwok-Wing Tsui Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins Genomics Data HIV DNA methylation Monozygotic twins MeDIP–microarray |
| 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 | HIV DNA methylation Monozygotic twins MeDIP–microarray |
| url | http://www.sciencedirect.com/science/article/pii/S2213596015001683 |
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