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首页> 外文期刊>World Journal of Gastroenterology >Plasma long noncoding RNA expression profile identified by microarray in patients with Crohn’s disease
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Plasma long noncoding RNA expression profile identified by microarray in patients with Crohn’s disease

机译:通过微阵列鉴定的克罗恩病患者血浆中长非编码RNA表达谱

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AIM: To investigate the expression pattern of plasma long noncoding RNAs (lncRNAs) in Chrohn’s disease (CD) patients. METHODS: Microarray screening and qRT-PCR verification of lncRNAs and mRNAs were performed in CD and control subjects, followed by hierarchy clustering, GO and KEGG pathway analyses. Significantly dysregulated lncRNAs were categorized into subgroups of antisense lncRNAs, enhancer lncRNAs and lincRNAs. To predict the regulatory effect of lncRNAs on mRNAs, a CNC network analysis was performed and cross linked with significantly changed lncRNAs. The overlapping lncRNAs were randomly selected and verified by qRT-PCR in a larger cohort. RESULTS: Initially, there were 1211 up-regulated and 777 down-regulated lncRNAs as well as 1020 up-regulated and 953 down-regulated mRNAs after microarray analysis; a heat map based on these results showed good categorization into the CD and control groups. GUSBP2 and AF113016 had the highest fold change of the up- and down-regulated lncRNAs, whereas TBC1D17 and CCL3L3 had the highest fold change of the up- and down-regulated mRNAs. Six (SNX1, CYFIP2, CD6, CMTM8, STAT4 and IGFBP7) of 10 mRNAs and 8 (NR_033913, NR_038218, NR_036512, NR_049759, NR_033951, NR_045408, NR_038377 and NR_039976) of 14 lncRNAs showed the same change trends on the microarray and qRT-PCR results with statistical significance. Based on the qRT-PCR verified mRNAs, 1358 potential lncRNAs with 2697 positive correlations and 2287 negative correlations were predicted by the CNC network. CONCLUSION: The plasma lncRNAs profiles provide preliminary data for the non-invasive diagnosis of CD and a resource for further specific lncRNA-mRNA pathway exploration.
机译:目的:研究血浆长非编码RNA(IncRNA)在克罗恩病(CD)患者中的表达模式。方法:在CD和对照受试者中进行lncRNA和mRNA的微阵列筛选和qRT-PCR验证,然后进行层次聚类,GO和KEGG途径分析。严重失调的lncRNA分为反义lncRNA,增强lncRNA和lincRNA的亚组。为了预测lncRNA对mRNA的调节作用,进行了CNC网络分析,并与显着变化的lncRNA交联。随机选择重叠的lncRNA,并在更大的队列中通过qRT-PCR进行验证。结果:经微阵列分析,最初有1211个上调和777个下调的lncRNAs,以及1020个上调和953个下调的mRNAs;基于这些结果的热图显示,CD和对照组的分类良好。 GUSBP2和AF113016具有上调和下调的lncRNA的最高倍数变化,而TBC1D17和CCL3L3具有上调和下调的mRNA的最高倍数变化。 10个mRNA的六个(SNX1,CYFIP2,CD6,CMTM8,STAT4和IGFBP7)和8个(NR_033913,NR_038218,NR_036512,NR_049759,NR_033951,NR_045408,NR_038377和NR_039976)的10个mRNA显示了相同的qRT-阵列变化趋势。 PCR结果具有统计学意义。基于qRT-PCR验证的mRNA,CNC网络预测了1358个潜在的lncRNA,它们具有2697个正相关和2287个负相关。结论:血浆lncRNAs谱为CD的非侵入性诊断提供了初步数据,并为进一步的特异性lncRNA-mRNA途径探索提供了资源。

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