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首页> 外文期刊>Current Bioinformatics >Genome-wide Identification of Differently Expressed lncRNAs, mRNAs, and circRNAs in Patients with Osteoarthritis | Bentham Science
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Genome-wide Identification of Differently Expressed lncRNAs, mRNAs, and circRNAs in Patients with Osteoarthritis | Bentham Science

机译:骨关节炎患者的不同表达的LNCRNA,MRNA和Circrnas的基因组鉴定 Bentham Science.

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摘要

Background: Osteoarthritis (OA), one of the most important causes leading to jointdisability, was considered as an untreatable disease. A series of genes were reported to regulate thepathogenesis of OA, including microRNAs, Long non-coding RNAs and Circular RNA. So far, theexpression profiles and functions of lncRNAs, mRNAs, and circRNAs in OA are not fullyunderstood.Objective: The present study aimed to identify differentially expressed genes in OA.Method: The present study conducted RNA-seq to identify differentially expressed genes in OA.Ontology (GO) analysis was used to analyze the Molecular Function and Biological Process. KEGGpathway analysis was used to perform the differentially expressed lncRNAs in biological pathways.Results: Hierarchical clustering revealed a total of 943 mRNAs, 518 lncRNAs, and 300 circRNAs,which were dysregulated in OA compared to normal samples. Furthermore, we constructeddifferentially expressed mRNAs mediated protein-protein interaction network, differentiallyexpressed lncRNAs mediated trans-regulatory networks, and competitive endogenous RNA(ceRNA) to reveal the interaction among these genes in OA. Bioinformatics analysis revealed thatthese dysregulated genes were involved in regulating multiple biological processes, such as woundhealing, negative regulation of ossification, sister chromatid cohesion, positive regulation ofinterleukin-1 alpha production, sodium ion transmembrane transport, positive regulation of cellmigration, and negative regulation of inflammatory response. To the best of our knowledge, thisstudy for the first time, revealed the expression pattern of mRNAs, lncRNAs and circRNAs in OA.Conclusion: This study provided novel information to validate these differentially expressed RNAsmay be as possible biomarkers and targets in OA.
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