Huang Guangyong, Liu Jingwen, Wang Yuehai, Xiang Youzhang
Department of Cardiology, Liaocheng People's Hospital of Shandong University, Liaocheng, China.
School of Nursing, Liaocheng Vocational & Technical College, Liaocheng, China.
Cardiovasc Diagn Ther. 2021 Apr;11(2):411-421. doi: 10.21037/cdt-20-746.
This study aims to analyze the differential expression profiles of lncRNA in Keshan disease (KSD) and to explore the molecular mechanism of the disease occurrence and development.
RNA-seq technology was used to construct the lncRNA/mRNA expression library of a KSD group (n=10) and a control group (n=10), and then Cuffdiff software was used to obtain the gene lncRNA/mRNA FPKM value as the expression profile of lncRNA/mRNA. The fold changes between the two sets of samples were calculated to obtain differential lncRNA/mRNA expression profiles, and a bioinformatics analysis of differentially expressed genes was performed.
A total of 89,905 lncRNAs and 20,315 mRNAs were detected. Statistical analysis revealed that 921 lncRNAs had obvious differential expression, among which 36 were up-regulated and 885 were down-regulated; 2,771 mRNAs presented with obvious differential expression, among which 253 were up-regulated and 2,518 were down-regulated, and cluster analysis indicated that the gene expression trends among the sample groups were consistent. The differentially expressed lncRNAs were tested for target genes, and 117 genes were found to be regulated by differential lncRNAs, which were concentrated in six signaling pathways, among which the apoptosis FoxO signaling pathway ranked first, so the target genes and were screened out.
In this study, RNA-seq technology was used to obtain the differential gene expression profiles of KSD, and bioinformatics analysis was performed to screen out target genes, pointing out the direction for further research into the etiology, pathogenesis and drug treatment targets of KSD.
本研究旨在分析克山病(KSD)中lncRNA的差异表达谱,并探讨该疾病发生发展的分子机制。
采用RNA-seq技术构建克山病组(n = 10)和对照组(n = 10)的lncRNA/mRNA表达文库,然后使用Cuffdiff软件获得基因lncRNA/mRNA的FPKM值作为lncRNA/mRNA的表达谱。计算两组样本之间的倍数变化以获得差异lncRNA/mRNA表达谱,并对差异表达基因进行生物信息学分析。
共检测到89,905个lncRNA和20,315个mRNA。统计分析显示,921个lncRNA有明显差异表达,其中36个上调,885个下调;2,771个mRNA有明显差异表达,其中253个上调,2,518个下调,聚类分析表明样本组间基因表达趋势一致。对差异表达的lncRNA进行靶基因检测,发现117个基因受差异lncRNA调控,这些基因集中在六个信号通路中,其中凋亡FoxO信号通路排名第一,因此筛选出靶基因 和 。
本研究利用RNA-seq技术获得克山病的差异基因表达谱,并通过生物信息学分析筛选出靶基因,为进一步研究克山病的病因、发病机制及药物治疗靶点指明了方向。