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利用生物信息学分析鉴定骨关节炎中的环状RNA-微小RNA-信使RNA调控网络

Identification of the circRNA-miRNA-mRNA regulatory network in osteoarthritis using bioinformatics analysis.

作者信息

Xu Wen-Bin, Kotheeranurak Vit, Zhang Huang-Lin, Feng Jin-Yi, Liu Jing-Wei, Chen Chien-Min, Lin Guang-Xun, Rui Gang

机构信息

Department of Orthopedics, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

Department of Orthopedics, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.

出版信息

Front Genet. 2022 Sep 16;13:994163. doi: 10.3389/fgene.2022.994163. eCollection 2022.

Abstract

Osteoarthritis (OA) is a degenerative joint disease that seriously affects the quality of people. Unfortunately, the pathogenesis of OA has not been fully known. Therefore, this study aimed to construct a ceRNA regulatory network related to OA to explore the pathogenesis of OA. Differentially expressed circRNAs (DEcircRNAs), microRNAs (DEmiRNAs), and mRNAs (DEmRNAs) were obtained from the Gene Expression Omnibus microarray data (GSE175959, GSE105027, and GSE169077). The miRNA response elements and target mRNAs were identified using bioinformatics approaches. Additionally, a circRNA-miRNA-mRNA network was established using Cytoscape version 3.8.0. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of mRNAs in the network were conducted to explore the possible mechanisms underlying OA development. Protein-protein interaction (PPI) analysis was performed to determine the hub genes. Based on the hub genes, a sub network was constructed using Cytoscape 3.8.0 version. Finally, connectivity map (CMap) and drug-gene interaction database (DGIdb) analyses were performed to identify the potential therapeutic targets for OA. Altogether, five DEcircRNAs, 89 DEmiRNAs, and 345 DEmRNAs were identified. Moreover, a circRNA-miRNA-mRNA network was established using three circRNAs, seven miRNAs, and 37 mRNAs. GO and KEGG analyses demonstrated that the mRNAs in the network could be related to the occurrence and development of OA. PPI analysis was performed and six key genes, namely serpin family H member 1 [], collagen type VIII alpha 2 chain [], collagen type XV alpha 1 chain [], collagen type VI alpha 3 chain [], collagen type V alpha 1 chain [], and collagen type XI alpha 1 chain [], were identified. Furthermore, a circRNA-miRNA-hub gene subnetwork was established in accordance with two circRNAs (hsa_circ_0075320 and hsa_circ_0051428), two miRNAs (hsa-miR-6124 and hsa-miR-1207-5p), and six hub genes (, , , , , and ). Finally, three chemicals (noscapine, diazepam, and TG100-115) based on CMap analysis and two drugs (collagenase and ocriplasmin) based on DGIdb were discovered as potential treatment options for OA. This study presents novel perspectives on the pathogenesis and treatment of OA based on circRNA-related competitive endogenous RNA regulatory networks.

摘要

骨关节炎(OA)是一种严重影响人们生活质量的退行性关节疾病。不幸的是,OA的发病机制尚未完全明确。因此,本研究旨在构建与OA相关的ceRNA调控网络,以探究OA的发病机制。从基因表达综合微阵列数据(GSE175959、GSE105027和GSE169077)中获取差异表达的环状RNA(DEcircRNAs)、微小RNA(DEmiRNAs)和信使RNA(DEmRNAs)。使用生物信息学方法鉴定miRNA反应元件和靶mRNA。此外,使用Cytoscape 3.8.0版本建立circRNA-miRNA-mRNA网络。对网络中的mRNA进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析,以探究OA发展的潜在机制。进行蛋白质-蛋白质相互作用(PPI)分析以确定枢纽基因。基于枢纽基因,使用Cytoscape 3.8.0版本构建一个子网。最后,进行连通性图谱(CMap)和药物-基因相互作用数据库(DGIdb)分析,以确定OA的潜在治疗靶点。共鉴定出5个DEcircRNAs、89个DEmiRNAs和345个DEmRNAs。此外,使用3个circRNAs、7个miRNAs和37个mRNAs建立了一个circRNA-miRNA-mRNA网络。GO和KEGG分析表明,网络中的mRNA可能与OA的发生和发展有关。进行了PPI分析,鉴定出6个关键基因,即丝氨酸蛋白酶抑制剂家族H成员1[]、VIII型胶原蛋白α2链[]、XV型胶原蛋白α1链[]、VI型胶原蛋白α3链[]、V型胶原蛋白α1链[]和XI型胶原蛋白α1链[]。此外,根据2个circRNAs(hsa_circ_0075320和hsa_circ_0051428)、2个miRNAs(hsa-miR-6124和hsa-miR-1207-5p)和6个枢纽基因(,,,,,和)建立了一个circRNA-miRNA-枢纽基因子网。最后,基于CMap分析发现3种化学物质(诺斯卡品、地西泮和TG100-115)以及基于DGIdb发现2种药物(胶原酶和奥曲肽)可作为OA的潜在治疗选择。本研究基于circRNA相关的竞争性内源RNA调控网络,为OA的发病机制和治疗提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3f9/9523487/5e5b4e90fb3c/fgene-13-994163-g001.jpg

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