Integration analysis of microRNA and mRNA paired expression profiling identifies deregulated microRNA-transcription factor-gene regulatory networks in ovarian endometriosis

Luyang Zhao, Chenglei Gu, Mingxia Ye, Zhe Zhang, Lian Li, Li'an Li, Wensheng Fan, Yuanguang Meng
Reproductive biology and endocrinology : RB&E · 2018 · vol. 16(1) , pp. 4 · doi:10.1186/s12958-017-0319-5 · PMID:29357938 · W2795106261
article OA: gold CC0 ⤵ 48 in-corpus citations
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This study integrated miRNA and mRNA expression profiles to identify deregulated miRNA-transcription factor-gene regulatory networks, revealing potential key regulators in ovarian endometriosis pathogenesis.

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Abstract

BACKGROUND: The etiology and pathophysiology of endometriosis remain unclear. Accumulating evidence suggests that aberrant microRNA (miRNA) and transcription factor (TF) expression may be involved in the pathogenesis and development of endometriosis. This study therefore aims to survey the key miRNAs, TFs and genes and further understand the mechanism of endometriosis. METHODS: Paired expression profiling of miRNA and mRNA in ectopic endometria compared with eutopic endometria were determined by high-throughput sequencing techniques in eight patients with ovarian endometriosis. Binary interactions and circuits among the miRNAs, TFs, and corresponding genes were identified by the Pearson correlation coefficients. miRNA-TF-gene regulatory networks were constructed using bioinformatic methods. Eleven selected miRNAs and TFs were validated by quantitative reverse transcription-polymerase chain reaction in 22 patients. RESULTS: Overall, 107 differentially expressed miRNAs and 6112 differentially expressed mRNAs were identified by comparing the sequencing of the ectopic endometrium group and the eutopic endometrium group. The miRNA-TF-gene regulatory network consists of 22 miRNAs, 12 TFs and 430 corresponding genes. Specifically, some key regulators from the miR-449 and miR-34b/c cluster, miR-200 family, miR-106a-363 cluster, miR-182/183, FOX family, GATA family, and E2F family as well as CEBPA, SOX9 and HNF4A were suggested to play vital regulatory roles in the pathogenesis of endometriosis. CONCLUSION: Integration analysis of the miRNA and mRNA expression profiles presents a unique insight into the regulatory network of this enigmatic disorder and possibly provides clues regarding replacement therapy for endometriosis.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Gene Regulatory Networks MicroRNAs RNA, Messenger Endometriosis Endometrium Endometrium Female Gene Expression Profiling Humans MicroRNAs MicroRNAs MicroRNAs RNA, Messenger RNA, Messenger Transcription Factors Transcription Factors Transcription Factors Transcription Factors

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