首页> 外文会议>IASTED International Conference on Biomedical Engineering >A MICROARRAY GENE EXPRESSION PROFILE IN PERIPHERAL BLOOD MONONUCLEAR CELLS FOR ALLERGIC ASTHMA IN CHINESE
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A MICROARRAY GENE EXPRESSION PROFILE IN PERIPHERAL BLOOD MONONUCLEAR CELLS FOR ALLERGIC ASTHMA IN CHINESE

机译:中国外周血单核细胞中的微阵列基因表达谱

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To screen and analyse gene expression patterns in peripheral blood mononuclear cells between asthma patients and normal people by DNA microarray technique in order to approach a new clue for the mechanism of asthma and to provide molecular markers for early diagnosis and prevention of asthma. Participants with asthma and healthy controls underwent peripheral blood collection. Peripheral blood mononuclear cells were isolated using Ficoll-Paque and extracted for total RNA. Then we used Cy3 to label cRNA from asthma and normal people respectively, and used Agilent Homo microarray chips containing 41,000 genes/ESTs to detect gene expression differentially according to the screening criteria of Log2Ratio ≥ 2 and Log2Ratio ≤ -2. Genespring software was used to analyse the biologic function of the candidate genes. By using microarray technology, 4,239 candidate genes in asthma patients were found from 34,183 target genes, which expressed twice higher or lower than normal group. 25 gene expressions in asthma were found over four fold changes compared with the normal. Analysis showed that these differentially expressed genes mainly related to the pathways like inflammation response, immune response, defence responses, wound responses and external stimuli. We found asthma is associated with specific gene expression patterns, providing further evidence that asthma involves in molecular inflammatory mechanisms of the pathogenesis.
机译:通过DNA微阵列技术在哮喘患者和正常人之间的外周血单核细胞中筛选和分析基因表达模式,以便接近哮喘机制的新线索,并为早期诊断和预防哮喘提供分子标记。哮喘和健康控制的参与者接受了外周血收集。使用Ficoll-Paque分离外周血单核细胞,并萃取总RNA。然后我们使用Cy3分别从哮喘和正常人标记CRNA,并使用含有41,000个基因/ EST的Agilent Homo微阵列芯片根据Log2ratio≥2和log2ratio≤-2的筛选标准差异差异地检测基因表达。 Genespring软件用于分析候选基因的生物功能。通过使用微阵列技术,发现哮喘患者的4,239个候选基因从34,183名靶基因中发现,表达了两倍的高于正常组。与正常情况相比,25个哮喘中的基因表达超过四倍变化。分析表明,这些差异表达的基因主要与炎症反应,免疫应答,防御反应,伤口反应和外部刺激等途径相关。我们发现哮喘与特定的基因表达模式相关,提供了进一步的证据,即哮喘涉及发病机制的分子炎症机制。

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