Dataset Information

Circular RNA expression profiles and bioinformatics analysis in ovarian endometriosis.

ABSTRACT: BACKGROUND:Circular RNAs (circRNAs) with miRNA response elements (MREs) could function as competing endogenous RNA (ceRNA) in regulating gene expression, thus playing vital roles in pathogenesis and progression of many diseases. However, the function of circRNAs in endometriosis remains unknown. This study was carried to profile the expression patterns of circRNAs in ovarian endometriosis. METHODS:High throughput RNA-Seq was performed in six paired ectopic and eutopic endometrium tissues (ecEM vs. euEM), followed by quantitative real-time polymerase chain reaction (qRT-PCR) in 30 paired samples. Through bioinformatics prediction, we constructed a circRNA-miRNA -mRNA network and elucidated circRNAs functions by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. RESULTS:A total of 146 upregulated and 148 downregulated circRNAs were identified, binding with 2,495 MREs. The qRT-PCR validation results of four upregulated circRNAs matched the RNA-Seq data. The ceRNA network included 48 miRNAs and 296 mRNAs. Functional analysis revealed several important pathways such as MAPK signaling pathway, and PI3K-AKT signaling pathway, which might be associated with the pathogenesis and development of endometriosis. CONCLUSION:Our data suggested that circRNAs are differentially expressed in endometriosis, which might be candidate factors for pathogenesis of this disease and be considered as promising therapeutic targets in the future.

SUBMITTER: Wang D

PROVIDER: S-EPMC6637292 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Circular RNA expression profiles and bioinformatics analysis in ovarian endometriosis.

Wang Dandan D Luo Yajuan Y Wang Guangwei G Yang Qing Q

Molecular genetics & genomic medicine 20190529 7

<h4>Background</h4>Circular RNAs (circRNAs) with miRNA response elements (MREs) could function as competing endogenous RNA (ceRNA) in regulating gene expression, thus playing vital roles in pathogenesis and progression of many diseases. However, the function of circRNAs in endometriosis remains unknown. This study was carried to profile the expression patterns of circRNAs in ovarian endometriosis.<h4>Methods</h4>High throughput RNA-Seq was performed in six paired ectopic and eutopic endometrium ...[more]

PMID: 31144476

Similar Datasets

Project description:The etiology of idiopathic membranous nephropathy (IMN) is considered to be closely associated with immunoregulation and genetic factors. Circular RNAs (circRNAs) have been found to regulate gene expression in various organisms, and to play an important role in multiple physiological and pathological processes, which may be involved in the pathogenesis of IMN. The purpose of the present study was to investigate the potential relationship between circRNAs in peripheral blood and disease. The diagnoses of IMN were confirmed using electron microscopy and immunofluorescence. Total RNA was isolated and microarray analysis was used to detect the expression levels of circRNAs in the peripheral blood of patients with IMN and in normal subjects. Selected genes from the microarray were selected and verified by reverse transcription?quantitative (RT?q)PCR. Bioinformatics tools were applied for further functional evaluation, and the potential disease predictability of circRNAs was determined using receiver?operating characteristic (ROC) curves. The results showed that a total of 955 differentially expressed circRNAs were found in blood samples, 645 of which were upregulated and 310 which were downregulated. In total, five candidate circRNAs were validated using RT?qPCR analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses identified numerous types of target genes and their corresponding microRNAs (miRNAs). The miRNAs identified were involved in biological processes and enriched in multiple important pathways, including the mitogen?activated protein kinase, transforming growth factor?? and Ras signaling pathways. The levels of circ_101319 were significantly higher (P<0.001) and exhibited promising diagnostic value in patients with IMN (area under ROC =0.89). The co?expression network constructed for circ_101319 indicated that it may be associated with membranous nephropathy?related pathways by mediating miRNAs. In conclusion, the present study revealed the expression and functional profile of differentially expressed circRNAs in the peripheral blood of patients with IMN, and provided new perspectives to predict and elucidate the development of IMN.

Project description:Spinal cord injury (SCI) is mostly caused by trauma. As primary mechanical injury is unavoidable in SCI, a focus on the pathophysiology and underlying molecular mechanisms of SCI-induced secondary injury is necessary to develop promising treatments for SCI patients. Circular RNAs (circRNAs) are associated with various diseases. Nevertheless, studies to date have not yet determined the functional roles of circRNAs in traumatic SCI. We examined circRNA expression profiles in the contused spinal cords of rats using microarray and quantitative reverse transcription-PCR (qRT-PCR) then predict their potential roles in post-SCI pathophysiology with bioinformatics. We found a total of 1676 differentially expressed circRNAs (fold change ≥ 2.0; P < 0.05) in spinal cord 3 days after contusion using circRNA microarray; 1261 circRNAs were significantly downregulated, whereas the remaining 415 were significantly upregulated. Then, five selected circRNAs, namely, rno_circRNA_005342, rno_circRNA_015513, rno_circRNA_002948, rno_circRNA_006096, and rno_circRNA_013017 were all significantly downregulated in the SCI group after verification by qRT-PCR, demonstrating a similar expression pattern in both microarray and PCR data. The next section of the study was concerned with the prediction of circRNA/miRNA/mRNA interactions using bioinformatics analysis. In the final part of the study, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses indicated carbohydrate metabolic process was one of the most significant enrichments and meaningful terms after GO analysis, and the top two signaling pathways affected by the circRNAs-miRNAs axes were the AMP-activated protein kinase signaling pathway and the peroxisome related pathway. In summary, this study showed an altered circRNA expression pattern that may be involved in physiological and pathological processes in rats after traumatic SCI, providing deep insights into numerous possibilities for SCI treatment targets by regulating circRNAs.

Project description:Introduction: Gefitinib is a selective epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) widely used in lung adenocarcinoma (LUAD) patients harboring sensitive EGFR mutations. Although it has a good initial efficacy, acquired resistance to gefitinib is eventually inevitable. Studies have shown that circular RNA (circRNA) is involved in the development of acquired resistance to different anti-cancer drugs, but the comprehensive analysis of its expression profile and functions on acquired gefitinib resistance remains poor. Methods: To explore the aberrant circRNAs expression profiles, we collected peripheral plasma samples from 4 gefitinib-sensitive and 4 gefitinib-resistant patients for performing microarray analysis. Candidates of differentially expressed circRNAs were used and analyzed by bioinformatics modalities including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and a constructed circRNA-microRNA RNA network. The differential expression of selected circRNAs was verified by quantitative real-time PCR (qRT-PCR). Results: A total of 2571 circRNAs with significantly different expression between the groups were identified by microarray analysis. GO, KEGG, and pathway enrichment analyses reveal that these differentially expressed circRNAs (DECs) were complicated in many biological pathways that may be related to EGFR-TKI resistance such as ABC transporter and PI3K-Akt pathways. A circRNA-microRNA network was constructed by 10 circRNAs potentially involved in EGFR-TKI resistance togethering with their corresponding microRNAs (miRNAs). Consistent with the results of microarray assay, hsa_circ_0030591 and hsa_circ_0040348 were validated to be upregulated in gefitinib-resistant patients by qRT-PCR. Conclusions: Our study provides valuable data on circRNAs expression profiles detected in liquid biopsy for LUAD patients with acquired gefitinib resistance, and we validate that upregulations of hsa_circ_0030591 and hsa_circ_0040348 may play key roles in EGFR-TKI resistance and thus serving as candidates for biomarker.

Project description:BackgroundProstate cancer (PCa) is one of the most common malignant tumors worldwide. Accumulating evidence has suggested that circular RNAs (circRNAs) are involved in the development and progression of various cancers, and they show great potential as novel biomarkers. However, the underlying mechanisms and specific functions of most circRNAs in PCa remain unknown. Here, we aimed to identify circRNAs with potential roles in PCa from the PCa expression profile.MethodsWe used data downloaded from the Gene Expression Omnibus to identify circRNAs that were differentially expressed between PCa samples and adjacent non-tumor samples. Relative expression levels of identified circRNAs were validated by quantitative real-time PCR. Micro (mi)RNA response elements were predicted by the CircInteractome database, and miRNA target genes were predicted by miRDB, miRTarBase, and TargetScan databases. Gene ontology (GO) enrichment analysis and pathway analysis revealed the potential biological and functional roles of these target genes. A circRNA-miRNA-mRNA interaction network was constructed by Cytoscape. The interaction between circRNAs and miRNAs in PCa was thoroughly reviewed in the PubMed. Finally, the mRNA expression of these genes was validated by the Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA) databases. The expression of proteins encoded by these genes was further validated by the Human protein Atlas (HPA) database.ResultsA total of 60 circRNAs that were differentially expressed between PCa and healthy samples were screened, of which 15 were annotated. Three circRNAs (hsa_circ_0024353, hsa_circ_0085494, hsa_circ_0031408) certified the criteria were studied. The results of quantitative real-time PCR demonstrated that the expression of hsa_circ_0024353 was significantly downregulated in PC-3 cells when compared with RWPE-1 cells, while the expression of hsa_circ_0031408 and hsa_circ_0085494 was significantly upregulated in PC-3 cells when compared with RWPE-1 cells. GO and Kyoto Encyclopedia of Genes and Genomes analyses found that target genes were mainly enriched in metabolic processes and pathways involving phosphoinositide 3-kinase-Akt signaling, hypoxia-inducible factor-1 signaling, p53 signaling, and the cell cycle. A total of 11 miRNA target genes showing differential expression between PCa and healthy samples were selected, and their mRNA and protein expression were validated by GEPIA and HPA databases, respectively. Of these, PDE7B, DMRT2, and TGFBR3 were identified as potentially playing a role in PCa progression. Finally, three circRNA-miRNA-mRNA interaction axes were predicted by bioinformatics: hsa_circ_0024353-hsa-miR-940-PDE7B, hsa_circ_0024353-hsa-miR-1253-DMRT2, and hsa_circ_0085494-hsa-miR-330-3p-TGFBR3.ConclusionThis study identified three circRNA-miRNA-mRNA interaction axes that might provide novel insights into the potential mechanisms underlying PCa development.

Dataset Information

Circular RNA expression profiles and bioinformatics analysis in ovarian endometriosis.

Publications

Circular RNA expression profiles and bioinformatics analysis in ovarian endometriosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets