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Comprehensive Analysis of the mRNA-lncRNA Co-expression Profile and ceRNA Networks Patterns in Chronic Hepatitis B

机译:慢性乙型肝炎mRNA-lncRNA共表达谱和ceRNA网络模式的综合分析

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Background: Long non-coding RNAs (lncRNAs) are emerging as important regulators in the modulation of virus infection by targeting mRNA transcription. However, their roles in chronic hepatitis B (CHB) remain to be elucidated.Objective: The study aimed to explore the lncRNAs and mRNA expression profiles in CHB and asymp-tomatic HBsAg carriers (ASC) and construct mRNA-lncRNA co-expression profile and ceRNA net-works to identify the potential targets of diagnosis and treatment in CHB.Methods: We determined the expression profiles of lncRNAs and mRNAs in CHB and ASC using mi-croarray analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) path-way enrichment analyses were performed to explore their function. We also constructed co-expression, cis-regulatory, and competing endogenous RNA (ceRNA) networks with bioinformatics methods.Results: We identified 1634 mRNAs and 5550 lncRNAs that were differentially expressed between CHB and ASC. Significantly enriched GO terms and pathways were identified, many of which were linked to immune processes and inflammatory responses. Co-expression analysis showed 1196 relation-ships between the top 20 up/downregulated lncRNAs and mRNA, especially 213 lncRNAs interacted with ZFP57. The ZFP57-specific ceRNA network covered 3 lncRNAs, 5 miRNAs, and 17 edges. Cis-correlation analysis showed that lncRNA T039096 was paired with the most differentially expressed gene, ZFP57. Moreover, by expending the clinical samples size, the qRT-PCR results showed that the expression of ZFP57 and T039096 increased in CHB compared to ASC.Conclusion: Our study provides insights into the roles of mRNA and lncRNA networks in CHB, high-lighting potential applications of lncRNA-T039096 and mRNA-ZFP57 for diagnosis and treatment.
机译:背景:长非编码RNA(lncRNA)逐渐成为通过靶向mRNA转录来调节病毒感染的重要调节剂。目的:本研究旨在探讨慢性乙型肝炎和无症状HBsAg携带者(ASC)中lncRNA和mRNA表达谱,并构建mRNA-lncRNA共表达谱和ceRNA网络可确定CHB的潜在诊断和治疗方法。方法:我们使用微阵列分析技术确定了CHB和ASC中lncRNA和mRNA的表达谱。进行了基因本体论(GO)和京都基因与基因组百科全书(KEGG)路径富集分析,以探索其功能。我们还利用生物信息学方法构建了共表达,顺式调控和竞争性内源性RNA(ceRNA)网络。结果:我们鉴定了1634个mRNA和5550个lncRNA,它们在CHB和ASC之间差异表达。确定了大量GO术语和途径,其中许多与免疫过程和炎症反应有关。共表达分析表明,前20个上调/下调的lncRNA与mRNA之间有1196个关联关系,尤其是与ZFP57相互作用的213个lncRNA。 ZFP57特异的ceRNA网络涵盖了3个lncRNA,5个miRNA和17个边缘。顺式相关分析表明,lncRNA T039096与表达最差的基因ZFP57配对。此外,通过扩大临床样本量,qRT-PCR结果显示,与ASC相比,CHB中ZFP57和T039096的表达增加。结论:我们的研究提供了洞察mRNA和lncRNA网络在CHB中的作用的亮点lncRNA-T039096和mRNA-ZFP57在诊断和治疗中的应用。

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