首页> 外文会议>2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences >Cluster analysis of genome-wide expression differences in disease-unaffected ileal mucosa in inflammatory bowel diseases
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Cluster analysis of genome-wide expression differences in disease-unaffected ileal mucosa in inflammatory bowel diseases

机译:炎症性肠病未患病的回肠粘膜全基因组表达差异的聚类分析

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Whole human genome (Agilent) expression profiling was conducted on disease-unaffected ileal RNA collected from the proximal margin of resected ileum from 47 ileal Crohn's disease (CD), 27 ulcerative colitis (UC) and 25 control patients without inflammatory bowel diseases (IBD). Cluster analysis combined with significance analysis of microarrays (SAM) and principal component analysis (PCA) and was used to reduce the data dimension to identify gene-probe clusters associated with early pathogenic changes in ileal CD and UC. Ingenuity Pathway Analysis (IPA) was used to identify the biological pathways associated with each cluster. We reduced the dimensions of the 26,765 gene probe set to 43 gene-probe clusters. Most of these clusters could be labeled as related to different biological pathways, such as Paneth cell antimicrobial peptides, the formation of organized lymphoid structures, or nuclear receptor signaling and xenobiotic metabolism. Molecular phylogenetic 16S rRNA sequence analysis was completed on 83 DNA samples from the same samples used to generate the gene expression profiles. We conducted an exploratory study to determine if the first principle component (PC1) of these clusters could be linked to specific phyla/subphyla taxa.
机译:对从47例回肠克罗恩病(CD),27例溃疡性结肠炎(UC)和25例无炎症性肠病(IBD)的回肠回肠近缘收集的未患病的回肠RNA进行了全人类基因组(Agilent)表达谱分析。聚类分析结合微阵列的显着性分析(SAM)和主成分分析(PCA),用于减少数据维度,以识别与回肠CD和UC的早期致病性变化相关的基因探针簇。独创性途径分析(IPA)用于识别与每个簇相关的生物学途径。我们将26,765个基因探针集的尺寸缩小为43个基因探针簇。这些簇中的大多数都可以标记为与不同的生物途径有关,例如Paneth细胞抗菌肽,有组织的淋巴结构的形成或核受体信号传导和异种生物代谢。对来自用于产生基因表达谱的相同样品的83个DNA样品完成了分子系统发育16S rRNA序列分析。我们进行了一项探索性研究,以确定这些簇的第一主要成分(PC1)是否可以与特定的门/门下分类群相关联。

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