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Multiple outcome meta-analysis of gene-expression data in inflammatory bowel disease

机译:炎性肠病中基因表达数据的多种结果荟萃分析

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We performed a multivariate meta-analysis of microarray data in Crohns disease (CD) and Ulcerative colitis (UC), which are the main forms of inflammatory bowel disease (IBD). They share similar symptoms but differ in the location and extent of inflammation and in complications. We identified 249 differentially expressed genes (DEGs) in CD and 38 in UC at a false discovery rate of 1%. 20 of the DEGs were common to both diseases. A multivariate test identified 260 DEGs associated with IBD, 53 of which were not found in any of the disorders. We identified important molecular pathways implicated in the pathogenesis of IBD, such as the JAK/STAT and interferon-gamma signaling pathways, genes involved in cell adhesion, apoptosis and carcinogenesis. Among others, BCAT1 and GZMB are interesting novel DEGs that deserve further investigation in experimental models. The method could also be useful to other cases of meta-analysis of gene expression data.
机译:我们在Crohns疾病(CD)和溃疡性结肠炎(UC)中进行了多元阵列数据的多元阵列分析,这是炎症性肠病(IBD)的主要形式。它们共享类似的症状,但在炎症和并发症的位置和程度上有所不同。我们以1%的假发现率鉴定了249个差异表达的基因(DEGS)和38中的38中的38。两种疾病都是常见的。多变量测试鉴定了与IBD相关的260°,其中53例在任何疾病中未发现。我们确定了与IBD的发病机制有关的重要分子途径,例如Jak / Stat和干扰素-γ信号传导途径,参与细胞粘附,细胞凋亡和致癌的基因。其中,BCAT1和GZMB是有趣的新型DEG,值得在实验模型中进一步调查。该方法也可用于基因表达数据的其他Meta分析病例。

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