Characterization of microRNA profile in human cumulus granulosa cells: Identification of microRNAs that regulate Notch signaling and are associated with PCOS
MOLECULAR AND CELLULAR ENDOCRINOLOGY
Authors: Xu, Bo; Zhang, Yuan-Wei; Tong, Xian-Hong; Liu, Yu-Sheng
Abstract
Context: Polycystic ovary syndrome (PCOS), a complex and heterogeneous endocrine condition, is characterized by polycystic ovaries, hyperandrogenism, insulin resistance and chronic anovulation. Cumulus granulosa cells surrounding the oocyte are involved in different aspects of PCOS pathology. Several studies suggested that miRNAs play an important regulatory role at the post-transcriptional level in cumulus granulosa cells. Objective: Our objective was to describe the altered miRNA expression profiles and miRNA targeted signaling pathways in PCOS. Design: Case-control study that involved 21 women with PCOS and 20 women without the disease (controls). The miRNA expression profiles of human cumulus granulosa cells were determined using next generation sequencing by Illumina Hiseq 2000. The differentially expressed miRNAs and novel miRNAs were validated by quantitative real-time PCR. The Notch3 and MAPK3 were demonstrated to be targeted by miR-483-5p based on quantitative real-time PCR, western blot and luciferase activity assay. Results: Compared with controls, a total of 59 known miRNA were identified that differentially expressed in PCOS cumulus granulosa cells, including 21 miRNAs increase and 38 miRNAs decrease. Moreover, the novel miRNAs were predicted in PCOS and control cumulus granulosa cells. The potential regulating roles of miRNA in pathophysiology of PCOS were analyzed by GO and KEGG pathway annotation, and several important processes were identified to be targeted by the differentially expressed miRNAs, such as Notch signaling, regulation of hormone, and energy metabolism. Furthermore, Notch3 and MAPK3, the members of Notch signaling and ERK-MAPK pathway, were demonstrated to be regulated by miR-483-5p based on negative expression correlation validation and detection of Notch3/MAPK3 expression after miR-483-5p mimics transfection. Dual luciferase activity assay suggested that Notch3 and MAPK3 were directly targeted by miR-483-5p. Conclusion: Our data suggested that miRNAs and their targeted pathways (e.g. Notch signaling pathway) play important roles in the etiology and pathophysiology of PCOS, and provides novel candidates for molecular biomarkers or treatment targets in the research of female infertility associated with PCOS. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
Screening of potential biomarkers for chemoresistant ovarian carcinoma with miRNA expression profiling data by bioinformatics approach
ONCOLOGY LETTERS
Authors: Wei, Shiyang; Wang, Yafeng; Xu, Hong; Kuang, Yan
Abstract
The aim of the present study was to screen out the biomarkers associated with chemoresistance in ovarian carcinomas and to investigate the molecular mechanisms. microRNA (miRNA) expression data was obtained from published microarray data of the GSE43867 dataset from Gene Expression Omnibus (GEO), including the data of 86 chemotherapy-treated patients with serous epithelial ovarian carcinomas (response group, 36 complete response cases and 12 partial response cases; non-response group, 10 stable cases and 28 progressive disease cases), and identification of differentially-expressed miRNAs were conducted with a GEO2R online tool based on R language. Target Scan 6.2 was used to predict the targets of differentially-expressed miRNAs. Protein-protein interaction network analysis was conducted by STRING 9.1, while functional enrichment [Gene Ontology (GO) biological process terms] and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted by GeneCodis3 for the target genes. A total of 6 differentially-expressed miRNAs were screened out, with 317 target genes obtained. It was found that 67 interactions existed among 76 genes/proteins through the PPI network analysis, and that 6 of these were potential key genes (PIK3R5, MAPK3, PTEN, S1PR3, BDKRB2 and NCBP2). The main biological processes involved in chemoresistant ovarian carcinoma were apoptosis, programmed cell death, cell migration, cell death and cell motility. The miRNA target genes were found to be associated with the ErbB signaling pathway, the gonadotropin-releasing hormone signaling pathway and other pathways in cancer. IK3R5, MAPK3 and PIK3R5 are involved in the majority of GO terms and KEGG pathways associated with chemoresistance in ovarian carcinoma.