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Screening and evaluation of key genes in contributing to pathogenesis of hepatic fibrosis based on microarray data

机译:基于微阵列数据的肝纤维化作用促进关键基因的筛选与评价

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Hepatic fibrosis (HF), which is characterized by the excessive accumulation of extracellular matrix (ECM) in the liver, usually progresses to liver cirrhosis and then death. To screen differentially expressed (DE) long non-coding RNAs (lncRNAs) and mRNAs, explore their potential functions to elucidate the underlying mechanisms of HF. The microarray of GSE80601 was downloaded from the Gene Expression Omnibus database, which is based on the GPL1355 platform. Screening for the differentially expressed LncRNAs and mRNAs was conducted between the control and model groups. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to analyze the biological functions and pathways of the DE mRNAs. Additionally, the protein–protein interaction (PPI) network was delineated. In addition, utilizing the Weighted Gene Co-expression Network Analysis (WGCNA) package and Cytoscape software, we constructed lncRNA-mRNA weighted co-expression networks. A total of 254 significantly differentially expressed lncRNAs and 472 mRNAs were identified. GO and KEGG analyses revealed that DE mRNAs regulated HF by participating in the GO terms of metabolic process, inflammatory response, response to wounding and oxidation–reduction. DE mRNAs were also significantly enriched in the pathways of ECM-receptor interaction, PI3K-Akt signaling pathway, focal adhesion (FA), retinol metabolism and metabolic pathways. Moreover, 24 lncRNAs associated with 40 differentially expressed genes were observed in the modules of lncRNA-mRNA weighted co-expression network. This study revealed crucial information on the molecular mechanisms of HF and laid a foundation for subsequent genes validation and functional studies, which could contribute to the development of novel diagnostic markers and provide new therapeutic targets for the clinical treatment of HF.
机译:肝纤维化(HF),其特征在于肝脏中细胞外基质(ECM)的过度积累,通常对肝硬化进行肝硬化,然后死亡。为了筛选差异表达(DE)长的非编码RNA(LNCRNA)和MRNA,探讨其潜在的功能,以阐明HF的潜在机制。从GENE表达式OMNIBUS数据库下载GSE80601的微阵列,该数据库是基于GPL1355平台的。对控制和模型组进行差异表达的LNCRNA和MRNA的筛选。然后,进行基因本体(GO)和基因组(KEGG)分析的基因本体(GO)和京都百科全书以分析DE MRNA的生物学功能和途径。另外,蛋白质 - 蛋白质相互作用(PPI)网络被描绘。另外,利用加权基因共表达网络分析(WGCNA)封装和Cytoscape软件,我们构建了LNCRNA-mRNA加权共表达网络。共鉴定了总共254例显着差异表达的LNCRNA和472mRNA。 Go和Kegg分析显示De MRNA通过参与所述代谢过程,炎症反应,抗伤害和氧化还原的响应来调节HF。在ECM-受体相互作用,PI3K-AKT信号通路,局灶性粘附(FA),视黄醇代谢和代谢途径的途径中也显着富集DemRNA。此外,在LNCRNA-mRNA加权的共表达网络的模块中观察到与40个差异表达基因相关的24克朗。本研究揭示了关于HF分子机制的关键信息,并为随后的基因验证和功能研究奠定了基础,这可能有助于开发新型诊断标志物,为HF的临床治疗提供新的治疗靶标。

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