Dataset Information

Methylation analysis of HOXA10 regulatory elements in patients with endometriosis.

ABSTRACT: OBJECTIVE:The pathogenesis of endometriosis is still mysterious, being retrograde menstruation and coelomic metaplasia the most accepted hypotheses. Recently, it has been proposed that endometriosis is caused by fine-tuning alterations of the female genital system development during the foetal life and that in utero exposition to endocrine disruptors can be one of the factors causing the disease, possibly acting on the methylation status of the genome. In this study, we have evaluated the methylation status of HOXA10 gene regulation regions in a cohort of 22 endometriosis patients respect to a control group of 6 healthy women. RESULTS:The methylation study was carried out on three CpG islands, previously described hypermethylated in the endometrium of endometriosis patients and include 22 CpG sites, 21 CpG sites and 10 CpG sites, respectively identified through the online platform MethPrimer. The analysis did not find significant differences between patients with endometriosis and healthy control individuals. These results confirm previous studies on genome wide methylation analysis in endometriosis patients. Therefore, other epigenetically altered genes should be considered more related to the pathogenesis of endometriosis.

SUBMITTER: Signorile PG

PROVIDER: S-EPMC6182800 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Methylation analysis of HOXA10 regulatory elements in patients with endometriosis.

Signorile Pietro G PG Severino Anna A Santoro Massimo M Spyrou Maria M Viceconte Rosa R Baldi Alfonso A

BMC research notes 20181011 1

<h4>Objective</h4>The pathogenesis of endometriosis is still mysterious, being retrograde menstruation and coelomic metaplasia the most accepted hypotheses. Recently, it has been proposed that endometriosis is caused by fine-tuning alterations of the female genital system development during the foetal life and that in utero exposition to endocrine disruptors can be one of the factors causing the disease, possibly acting on the methylation status of the genome. In this study, we have evaluated th ...[more]

PMID: 30309386

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Project description:It is now established that, as compared to normal cells, the cancer cell genome has an overall inverse distribution of DNA methylation ("methylome"), i.e., predominant hypomethylation and localized hypermethylation, within "CpG islands" (CGIs). Moreover, although cancer cells have reduced methylation "fidelity" and genomic instability, accurate maintenance of aberrant methylomes that underlie malignant phenotypes remains necessary. However, the mechanism(s) of cancer methylome maintenance remains largely unknown. Here, we assessed CGI methylation patterns propagated over 1, 3, and 5 divisions of A2780 ovarian cancer cells, concurrent with exposure to the DNA cross-linking chemotherapeutic cisplatin, and observed cell generation-successive increases in total hyper- and hypo-methylated CGIs. Empirical bayesian modeling revealed five distinct modes of methylation propagation: (1) heritable (i.e., unchanged) high-methylation (1186 probe loci in CGI microarray); (2) heritable (i.e., unchanged) low-methylation (286 loci); (3) stochastic hypermethylation (i.e., progressively increased, 243 loci); (4) stochastic hypomethylation (i.e., progressively decreased, 247 loci); and (5) considerable "random" methylation (582 loci). These results support a "stochastic model" of DNA methylation equilibrium deriving from the efficiency of two distinct processes, methylation maintenance and de novo methylation. A role for cis-regulatory elements in methylation fidelity was also demonstrated by highly significant (p<2.2×10(-5)) enrichment of transcription factor binding sites in CGI probe loci showing heritably high (118 elements) and low (47 elements) methylation, and also in loci demonstrating stochastic hyper-(30 elements) and hypo-(31 elements) methylation. Notably, loci having "random" methylation heritability displayed nearly no enrichment. These results demonstrate an influence of cis-regulatory elements on the nonrandom propagation of both strictly heritable and stochastically heritable CGIs.

Dataset Information

Methylation analysis of HOXA10 regulatory elements in patients with endometriosis.

Publications

Methylation analysis of HOXA10 regulatory elements in patients with endometriosis.

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