ArticleGenomics data2015
Genome-wide analysis of DNA methylation associated with HIV infection based on a pair of monozygotic twins.
Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- DNA methylation signatures of inflammation in youth living with perinatally-acquired HIV.Clinical epigenetics · 2026Article
- The Genome-wide Methylation Profile of CD4+ T Cells From Individuals With Human Immunodeficiency Virus (HIV) Identifies Distinct Patterns Associated With Disease Progression.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Epigenetic Regulation ofFrontiers in immunology · 2021Article
- Deciphering DNA Methylation in HIV Infection.Frontiers in immunology · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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