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首页> 外文期刊>International journal of molecular medicine >Identification of the potential molecular targets for human intervertebral disc degeneration based on bioinformatic methods
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Identification of the potential molecular targets for human intervertebral disc degeneration based on bioinformatic methods

机译:基于生物信息学方法鉴定人类椎间盘退变的潜在分子靶标

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The present study aimed to explore potential molecular targets and gain further insights into the mechanism of intervertebral disc degeneration (IDD) progression. Microarray datasets of GSE19943, GSE15227 and GSE34095 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) in 3?IDD specimens compared with 3?controls in GSE34095, DEGs in 7?grade?III and 3?grade?IV samples compared with 5?grade?II samples in GSE19943, and differentially expressed miRNAs in 3?degenerated samples compared with 3?controls in GSE15227 were screened. Grade?III? and?IV?specific networks were constructed and grade?specific genes were extracted. The network features were analyzed, followed by Gene Ontology (GO) enrichment analysis and pathway enrichment analysis of grade?specific genes and DEGs identified in GSE34095. Furthermore, miRNA?pathway interactions were analyzed using Fisher's exact test. Tumor protein p53 (TP53) was a hub gene in the grade?III?specific network and ubiquitin?C (UBC) was identified to be a hub gene in the grade?IV?specific network. Six significant features were identified by grade?specific network topology analysis. Grade?specific genes and DEGs were involved in different GO terms and pathways. Differentially expressed miRNAs were identified to participate in 35?pathways, among which 6?pathways were significantly enriched by DEGs, including apoptosis. The present study identified that key genes (TP53 and UBC) and miR?129?5p may participate in the mechanism of IDD progression. Thus, they may be potential therapeutic targets for IDD.
机译:本研究旨在探讨潜在的分子靶标,并进一步了解椎间盘退变(IDD)进程的机制。 GSE19943,GSE15227和GSE34095的微阵列数据集是从Gene Expression Omnibus数据库下载的。 3个IDD标本中的差异表达基因(DEG)与GSE34095中的3个对照相比,7级Ⅲ和3级IV类样品中的DEG与GSE19943中的5级II类样品中的差异,以及3个差异表达的miRNA筛选了与GSE15227中3个对照相比的退化样品。三级构建了“ IV”特异性网络,并提取了“等级”特异性基因。分析网络特征,然后进行基因本体(GO)富集分析和GSE34095中鉴定的等级特异性基因和DEG的途径富集分析。此外,使用Fisher精确检验分析了miRNA的通路相互作用。肿瘤蛋白p53(TP53)是Ⅲ类特异性网络中的中枢基因,泛素?C(UBC)被认为是Ⅳ类特异性网络中的中枢基因。通过特定年级的网络拓扑分析确定了六个重要功能。等级特异性基因和DEGs参与了不同的GO术语和途径。鉴定出差异表达的miRNA参与了35条途径,其中6条途径被DEGs显着富集,包括细胞凋亡。本研究确定了关键基因(TP53和UBC)和miR?129?5p可能参与了IDD进展的机制。因此,它们可能是IDD的潜在治疗靶标。

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