117
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The influence of menstrual cycle and endometriosis on endometrial methylome

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Alterations in endometrial DNA methylation profile have been proposed as one potential mechanism initiating the development of endometriosis. However, the normal endometrial methylome is influenced by the cyclic hormonal changes, and the menstrual cycle phase-dependent epigenetic signature should be considered when studying endometrial disorders. So far, no studies have been performed to evaluate the menstrual cycle influences and endometriosis-specific endometrial methylation pattern at the same time.

          Results

          Infinium HumanMethylation 450K BeadChip arrays were used to explore DNA methylation profiles of endometrial tissues from various menstrual cycle phases from 31 patients with endometriosis and 24 healthy women. The DNA methylation profile of patients and controls was highly similar and only 28 differentially methylated regions (DMRs) between patients and controls were found. However, the overall magnitude of the methylation differences between patients and controls was rather small (Δβ ranging from –0.01 to –0.16 and from 0.01 to 0.08, respectively, for hypo- and hypermethylated CpGs). Unsupervised hierarchical clustering of the methylation data divided endometrial samples based on the menstrual cycle phase rather than diseased/non-diseased status. Further analysis revealed a number of menstrual cycle phase-specific epigenetic changes with largest changes occurring during the late-secretory and menstrual phases when substantial rearrangements of endometrial tissue take place. Comparison of cycle phase- and endometriosis-specific methylation profile changes revealed that 13 out of 28 endometriosis-specific DMRs were present in both datasets.

          Conclusions

          The results of our study accentuate the importance of considering normal cyclic epigenetic changes in studies investigating endometrium-related disease-specific methylation patterns.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13148-015-0168-z) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          High density DNA methylation array with single CpG site resolution.

          We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99% of RefSeq genes with multiple probes per gene, 96% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium® Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R2 of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research. Copyright © 2011 Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns

            Background DNA epigenetic modifications, such as methylation, are important regulators of tissue differentiation, contributing to processes of both development and cancer. Profiling the tissue-specific DNA methylome patterns will provide novel insights into normal and pathogenic mechanisms, as well as help in future epigenetic therapies. In this study, 17 somatic tissues from four autopsied humans were subjected to functional genome analysis using the Illumina Infinium HumanMethylation450 BeadChip, covering 486 428 CpG sites. Results Only 2% of the CpGs analyzed are hypermethylated in all 17 tissue specimens; these permanently methylated CpG sites are located predominantly in gene-body regions. In contrast, 15% of the CpGs are hypomethylated in all specimens and are primarily located in regions proximal to transcription start sites. A vast number of tissue-specific differentially methylated regions are identified and considered likely mediators of tissue-specific gene regulatory mechanisms since the hypomethylated regions are closely related to known functions of the corresponding tissue. Finally, a clear inverse correlation is observed between promoter methylation within CpG islands and gene expression data obtained from publicly available databases. Conclusions This genome-wide methylation profiling study identified tissue-specific differentially methylated regions in 17 human somatic tissues. Many of the genes corresponding to these differentially methylated regions contribute to tissue-specific functions. Future studies may use these data as a reference to identify markers of perturbed differentiation and disease-related pathogenic mechanisms.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Dating the endometrial biopsy.

                Bookmark

                Author and article information

                Contributors
                merli.saare@ut.ee
                vijayachitra.modhukur@ut.ee
                marina.suhorutsenko@ut.ee
                balajior@gmail.com
                kadri.rekker@gmail.com
                soritsa@hotmail.com
                helle.karro@kliinikum.ee
                pille.soplepmann@kliinikum.ee
                andrei@fert-c.ee
                celi@well.ox.ac.uk
                nilufer@well.ox.ac.uk
                alexd@well.ox.ac.uk
                Christian.Becker@obs-gyn.ox.ac.uk
                krinaz@well.ox.ac.uk
                andres.salumets@ccrmb.ee
                maire.peters@ut.ee
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                12 January 2016
                12 January 2016
                2016
                : 8
                : 2
                Affiliations
                [ ]Competence Centre on Health Technologies Tartu, Tartu, Estonia
                [ ]Tartu University Women’s Clinic, Tartu, Estonia
                [ ]Institute of Bio- and Translational Medicine, University of Tartu, Tartu, Estonia
                [ ]Institute of Computer Science, University of Tartu, Tartu, Estonia
                [ ]Elite Clinic, Tartu, Estonia
                [ ]Women’s Clinic, Tartu University Hospital, Tartu, Estonia
                [ ]Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
                [ ]Endometriosis CaRe Centre, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, UK
                Article
                168
                10.1186/s13148-015-0168-z
                4710036
                26759613
                f4144973-889b-477c-ae81-a1c0eaa52825
                © Saare et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 14 October 2015
                : 30 December 2015
                Funding
                Funded by: Estonian Ministry of Education and Research
                Award ID: IUT34-16
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006598, Ettevõtluse Arendamise Sihtasutus;
                Award ID: EU48695
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Genetics
                dna methylation,endometriosis,endometrium,epigenetics,illumina 450k,menstrual cycle,microarray
                Genetics
                dna methylation, endometriosis, endometrium, epigenetics, illumina 450k, menstrual cycle, microarray

                Comments

                Comment on this article