Title |
Non-genotoxic carcinogen exposure induces defined changes in the 5-hydroxymethylome
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Published in |
Genome Biology, October 2012
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DOI | 10.1186/gb-2012-13-10-r93 |
Pubmed ID | |
Authors |
John P Thomson, Harri Lempiäinen, Jamie A Hackett, Colm E Nestor, Arne Müller, Federico Bolognani, Edward J Oakeley, Dirk Schübeler, Rémi Terranova, Diana Reinhardt, Jonathan G Moggs, Richard R Meehan |
Abstract |
ABSTRACT: BACKGROUND: Induction and promotion of liver cancer by exposure to non-genotoxic carcinogens coincides with epigenetic perturbations, including specific changes in DNA methylation. Here we investigate the genome-wide dynamics of 5-hydroxymethylcytosine (5hmC) as a likely intermediate of 5-methylcytosine (5mC) demethylation in a DNA methylation reprogramming pathway. We use a rodent model of non-genotoxic carcinogen exposure using the drug phenobarbital. RESULTS: Exposure to phenobarbital results in dynamic and reciprocal changes to the 5mC/5hmC patterns over the promoter regions of a cohort of genes that are transcriptionally upregulated. This reprogramming of 5mC/5hmC coincides with characteristic changes in the histone marks H3K4me2, H3K27me3 and H3K36me3. Quantitative analysis of phenobarbital-induced genes that are involved in xenobiotic metabolism reveals that both DNA modifications are lost at the transcription start site, while there is a reciprocal relationship between increasing levels of 5hmC and loss of 5mC at regions immediately adjacent to core promoters. CONCLUSIONS: Collectively, these experiments support the hypothesis that 5hmC is a potential intermediate in a demethylation pathway and reveal precise perturbations of the mouse liver DNA methylome and hydroxymethylome upon exposure to a rodent hepatocarcinogen. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Belgium | 2 | 2% |
United Kingdom | 2 | 2% |
Sweden | 1 | 1% |
France | 1 | 1% |
Germany | 1 | 1% |
Mexico | 1 | 1% |
Canada | 1 | 1% |
Japan | 1 | 1% |
United States | 1 | 1% |
Other | 0 | 0% |
Unknown | 85 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 32 | 33% |
Student > Ph. D. Student | 26 | 27% |
Student > Bachelor | 7 | 7% |
Professor | 6 | 6% |
Student > Master | 6 | 6% |
Other | 16 | 17% |
Unknown | 3 | 3% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 63 | 66% |
Biochemistry, Genetics and Molecular Biology | 12 | 13% |
Medicine and Dentistry | 7 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Computer Science | 2 | 2% |
Other | 4 | 4% |
Unknown | 5 | 5% |