Open Access

Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome

  • Authors:
    • Li Liu
    • Dongyun He
    • Yang Wang
    • Minjia Sheng
  • View Affiliations

  • Published online on: February 26, 2020     https://doi.org/10.3892/mmr.2020.11005
  • Pages: 2138-2150
  • Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The present study aimed to identify potentially important biomarkers associated with polycystic ovary syndrome (PCOS) by integrating DNA methylation with transcriptome profiling. The transcription (E‑MTAB‑3768) and methylation (E‑MTAB‑3777) datasets were retrieved from ArrayExpress. Paired transcription and methylation profiling data of 10 cases of PCOS and 10 healthy controls were available for screening differentially expressed genes (DEGs) and differentially methylated genes (DMGs). Genes with a negative correlation between expression levels and methylation levels were retained by correlation analysis to construct a protein‑protein interaction (PPI) network. Subsequently, functional and pathway enrichment analyses were performed to identify genes in the PPI network. Additionally, a disease‑associated pathway network was also established. A total of 491 overlapping genes, and the expression levels of 237 genes, were negatively correlated with their methylation levels. Functional enrichment analysis revealed that genes in the PPI network were mainly involved with biological processes of cellular response to stress, negative regulation of the biosynthetic process, and regulation of cell proliferation. The constructed pathway network associated with PCOS led to the identification of four important genes (SPP1, F2R, IL12B and RBP4) and two important pathways (Jak‑STAT signaling pathway and neuroactive ligand‑receptor interaction). Taken, together, the results from the present study have revealed numerous important genes with abnormal DNA methylation levels and altered mRNA expression levels, along with their associated functions and pathways. These findings may contribute to an improved understanding of the possible pathophysiology of PCOS.

Related Articles

Journal Cover

May 2020
Volume 21 Issue 5

Print ISSN: 1791-2997
Online ISSN:1791-3004

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
APA
Liu, L., He, D., Wang, Y., & Sheng, M. (2020). Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome. Molecular Medicine Reports, 21, 2138-2150. https://doi.org/10.3892/mmr.2020.11005
MLA
Liu, L., He, D., Wang, Y., Sheng, M."Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome". Molecular Medicine Reports 21.5 (2020): 2138-2150.
Chicago
Liu, L., He, D., Wang, Y., Sheng, M."Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome". Molecular Medicine Reports 21, no. 5 (2020): 2138-2150. https://doi.org/10.3892/mmr.2020.11005