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骨关节炎中关键mRNA和lncRNA的综合分析

Integrated analysis of key mRNAs and lncRNAs in osteoarthritis.

作者信息

Chen Lei, Zhang Yingqi, Rao Zhitao, Zhang Jincheng, Sun Yeqing

机构信息

Department of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, P.R. China.

出版信息

Exp Ther Med. 2018 Sep;16(3):1841-1849. doi: 10.3892/etm.2018.6360. Epub 2018 Jun 27.

Abstract

Osteoarthritis (OA) is the most common type of arthritis, observed mainly in the population aged >65 years. However, the mechanism underlying the development and progression of OA has remained largely elusive. The present study aimed to identify differentially expressed mRNAs and lncRNAs in OA. By analyzing the GSE48556 and GSE82107 datasets, a total of 202 up- and 434 downregulated mRNAs were identified in OA. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that differently expressed genes were mainly involved in regulating antigen processing and presentation, interspecies interaction between organisms, immune response, transcription and signal transduction. In addition, a series of long non-coding (lnc)RNAs were differently expressed in OA. To provide novel data on the molecular mechanisms and functional roles of these lncRNAs in OA, a co-expression analysis was performed, which revealed that the dysregulated lncRNAs were associated with transcription, signal transduction, immune response and cell adhesion. In addition, certain key genes in protein-protein interaction networks were identified. The present study provided useful information for exploring potential candidate biomarkers for the diagnosis and prognosis of OA, as well as novel drug targets.

摘要

骨关节炎(OA)是最常见的关节炎类型,主要见于65岁以上人群。然而,OA发生和发展的潜在机制在很大程度上仍不清楚。本研究旨在鉴定OA中差异表达的mRNA和lncRNA。通过分析GSE48556和GSE82107数据集,在OA中总共鉴定出202个上调和434个下调的mRNA。基因本体论和京都基因与基因组百科全书通路分析表明,差异表达的基因主要参与调节抗原加工和呈递、生物体间的种间相互作用、免疫反应、转录和信号转导。此外,一系列长链非编码(lnc)RNA在OA中差异表达。为了提供关于这些lncRNA在OA中的分子机制和功能作用的新数据,进行了共表达分析,结果显示失调的lncRNA与转录、信号转导、免疫反应和细胞粘附有关。此外,还鉴定了蛋白质-蛋白质相互作用网络中的某些关键基因。本研究为探索OA诊断和预后的潜在候选生物标志物以及新的药物靶点提供了有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e21/6122320/7ddc3d62a275/etm-16-03-1841-g00.jpg

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