Experimental validation and bioinformatics analysis of hub genes in myocardial infarction

IF 1 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Li-Jun Wang, Bai-Quan Qiu, Hua-Xi Zou, Cheng-Wu Gong, Song-Qing Lai, Jian-Jun Xu, Yong-Bing Wu, Ji-Chun Liu
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引用次数: 0

Abstract

There is an urgent need to explore and validate novel biomarkers relevant to patients with myocardial infarction (MI), which is the leading cause of death in the world. Dysregulated microRNAs (miRNAs) and messenger RNAs (mRNAs) based on two Gene Expression Omnibus microarrays were analyzed using bioinformatics technology and experiments. KEGG and GO enrichment analyses were performed to explore potential mechanisms of myocardial infarction progression. Immune infiltration analysis was used to assess the relationship between the immune microenvironment and myocardial infarction. The DOX-induced myocardial injury model was used to simulate myocardial infarction. qRT-PCR was performed to validate the expression of hub genes. 5 downregulated miRNAs and 14 upregulated mRNAs were identified in total. Functional analysis revealed that some immune-related pathways were significantly enriched. T cells CD8+ were mainly enriched in the normal tissues compared to the myocardial infarction tissues. Meanwhile, the T cells CD4+ memory resting were highly enriched in the myocardial infarction tissues compared to the normal tissues. Experimental validation of miRNAs and mRNAs contributed to the identification of 4 miRNAs and 12 mRNAs that may play a crucial role in the DOX-induced myocardial infarction cell model. Our study successfully identified several genes that may be related to myocardial infarction progression.
心肌梗死中心基因的实验验证及生物信息学分析
心肌梗死(MI)是世界上主要的死亡原因,迫切需要探索和验证与心肌梗死(MI)患者相关的新型生物标志物。利用生物信息学技术和实验分析了基于两种基因表达综合微阵列的microRNAs (miRNAs)和信使rna (mrna)的失调。进行KEGG和GO富集分析以探索心肌梗死进展的潜在机制。采用免疫浸润分析评价免疫微环境与心肌梗死的关系。采用dox致心肌损伤模型模拟心肌梗死。采用qRT-PCR验证枢纽基因的表达。共鉴定出5个下调的mirna和14个上调的mrna。功能分析显示,一些免疫相关通路显著富集。与心肌梗死组织相比,T细胞CD8+主要富集于正常组织。同时,心肌梗死组织中T细胞CD4+记忆静息较正常组织高度富集。通过对mirna和mrna的实验验证,鉴定出可能在dox诱导的心肌梗死细胞模型中发挥关键作用的4种mirna和12种mrna。我们的研究成功地确定了几个可能与心肌梗死进展相关的基因。
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来源期刊
All Life
All Life MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
8.30%
发文量
91
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