基质细胞衍生因子-1诱导的关节软骨细胞变性模型中的长链非编码和微rna表达。

IF 0.4 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Guoliang Wang, Lu He, Yaoyu Xiang, Di Jia, Yanlin Li
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引用次数: 0

摘要

背景:基因调控网络分析发现,长链非编码核糖核酸(lncRNAs)与骨关节炎的发病密切相关。目的:探讨lncRNAs和microRNAs (miRNAs)在正常软骨细胞和关节软骨细胞变性模型中的表达差异。方法:用膝关节骨性关节炎患者的软骨培养软骨细胞。使用基质细胞衍生因子-1 (SDF-1)诱导其变性。提取总RNA,分析,扩增,标记,并在芯片上杂交,以确定表达。通过基因本体和京都基因与基因组百科全书对这组富集的差异表达mirna进行分析,以描述关键生物过程和途径的功能特性。我们使用Cytoscape进行了生物信息学分析,以阐明mirna和蛋白质之间的相互作用。结果:我们发现186个lncrna在软骨细胞变性模型中表达有显著差异,其中88个lncrna表达上调,98个lncrna表达下调。684个mirna的表达差异有统计学意义。蛋白-蛋白相互作用(PPI)网络分析显示,CXCL10、ISG15、MYC、MX1、OASL、IFIT1、RSAD2、MX2、IFI44L和BST2基因为前10位核心基因,确定了阐明miRNAs差异表达最重要的功能模块。结论:这些数据可能为骨关节炎软骨细胞变性的分子机制提供新的见解,lncrna和mirna的鉴定可能为骨关节炎的鉴别诊断和治疗提供潜在的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long noncoding and micro-RNA expression in a model of articular chondrocyte degeneration induced by stromal cell-derived factor-1.

Long noncoding and micro-RNA expression in a model of articular chondrocyte degeneration induced by stromal cell-derived factor-1.

Long noncoding and micro-RNA expression in a model of articular chondrocyte degeneration induced by stromal cell-derived factor-1.

Long noncoding and micro-RNA expression in a model of articular chondrocyte degeneration induced by stromal cell-derived factor-1.

Background: Gene regulatory network analysis has found that long noncoding ribonucleic acids (lncRNAs) are strongly associated with the pathogenesis of osteoarthritis.

Objectives: To determine the differential expression of lncRNAs and microRNAs (miRNAs) in normal chondrocytes and those from a model of articular chondrocyte degeneration.

Methods: Chondrocytes were cultured from cartilage obtained from patients diagnosed with osteoarthritis of the knee. Stromal cell-derived factor-1 (SDF-1) was used to induce their degeneration. Total RNA was extracted, analyzed, amplified, labeled, and hybridized on a chip to determine expression. The set of enriched differentially expressed miRNAs was analyzed by gene ontology and the Kyoto Encyclopedia of Genes and Genomes to describe the functional properties of the key biological processes and pathways. We conducted a bioinformatics analysis using Cytoscape to elucidate the interactions between miRNAs and proteins.

Results: We found that the expression of 186 lncRNAs was significantly different in the model of chondrocyte degeneration, in which 88 lncRNAs were upregulated, and 98 were downregulated. Expression of 684 miRNAs was significantly different. Analysis of the protein-protein interaction (PPI) network indicated that the genes for CXCL10, ISG15, MYC, MX1, OASL, IFIT1, RSAD2, MX2, IFI44L, and BST2 are the top 10 core genes, identifying the most important functional modules to elucidate the differential expression of miRNAs.

Conclusions: These data may provide new insights into the molecular mechanisms of chondrocyte degeneration in osteoarthritis, and the identification of lncRNAs and miRNAs may provide potential targets for the differential diagnosis and therapy of osteoarthritis.

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来源期刊
Asian Biomedicine
Asian Biomedicine 医学-医学:研究与实验
CiteScore
1.20
自引率
0.00%
发文量
24
审稿时长
6-12 weeks
期刊介绍: Asian Biomedicine: Research, Reviews and News (ISSN 1905-7415 print; 1875-855X online) is published in one volume (of 6 bimonthly issues) a year since 2007. [...]Asian Biomedicine is an international, general medical and biomedical journal that aims to publish original peer-reviewed contributions dealing with various topics in the biomedical and health sciences from basic experimental to clinical aspects. The work and authorship must be strongly affiliated with a country in Asia, or with specific importance and relevance to the Asian region. The Journal will publish reviews, original experimental studies, observational studies, technical and clinical (case) reports, practice guidelines, historical perspectives of Asian biomedicine, clinicopathological conferences, and commentaries Asian biomedicine is intended for a broad and international audience, primarily those in the health professions including researchers, physician practitioners, basic medical scientists, dentists, educators, administrators, those in the assistive professions, such as nurses, and the many types of allied health professionals in research and health care delivery systems including those in training.
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