Expression profiling identifies genes involved in emphysema severity.
Expression profiling identifies genes involved in emphysema severity.
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DOI：
10.1186/1465-9921-10-81
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发表时间：
2009-09-02
影响因子：
5.8
通讯作者：
Yang IA
中科院分区：
文献类型：
--
作者：
Francis SM;Larsen JE;Pavey SJ;Bowman RV;Hayward NK;Fong KM;Yang IA
慢性阻塞性肺疾病(COPD)是一个重大的公共卫生问题。这项研究的目的是确定与COPD患者肺气肿严重程度相关的基因。对30例吸烟者肺气肿患者非肿瘤肺组织总RNA进行基因表达谱分析。进行基于气体转移测量的分类比较分析以确定差异表达基因。然后，如果基因也出现在先前发表的肺气肿研究中使用的微阵列平台上，则通过定量逆转录-聚合酶链式反应(qRT-PCR)选择基因进行技术验证。通过使用一套独立的62个肺部样本的qRT-PCR，技术上经过验证的基因进入了生物复制测试。类别比较确定了98个差异表达基因(p<；0.01)。其中51个基因此前已被评估为区分正常肺气肿和严重肺气肿。定量逆转录-聚合酶链式反应证实了51个基因中29个基因和11个有效基因的表达变化方向，在p<；0.05中仍然显著。在独立队列中的生物复制证实了8个基因的表达改变，其中7个基因的差异表达超过1.3倍，确定这些基因是肺气肿严重程度的候选决定因素。肺气肿患者肺组织基因表达谱鉴定出7个与肺气肿严重程度相关的候选基因，包括COL6A3、SERPINF1、ZNHIT6、NEDD4、CDKN2A、NRN1和GSTM3。
Chronic obstructive pulmonary disease (COPD) is a major public health problem. The aim of this study was to identify genes involved in emphysema severity in COPD patients. Gene expression profiling was performed on total RNA extracted from non-tumor lung tissue from 30 smokers with emphysema. Class comparison analysis based on gas transfer measurement was performed to identify differentially expressed genes. Genes were then selected for technical validation by quantitative reverse transcriptase-PCR (qRT-PCR) if also represented on microarray platforms used in previously published emphysema studies. Genes technically validated advanced to tests of biological replication by qRT-PCR using an independent test set of 62 lung samples. Class comparison identified 98 differentially expressed genes (p < 0.01). Fifty-one of those genes had been previously evaluated in differentiation between normal and severe emphysema lung. qRT-PCR confirmed the direction of change in expression in 29 of the 51 genes and 11 of those validated, remaining significant at p < 0.05. Biological replication in an independent cohort confirmed the altered expression of eight genes, with seven genes differentially expressed by greater than 1.3 fold, identifying these as candidate determinants of emphysema severity. Gene expression profiling of lung from emphysema patients identified seven candidate genes associated with emphysema severity including COL6A3, SERPINF1, ZNHIT6, NEDD4, CDKN2A, NRN1 and GSTM3.
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影响因子：
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作者：
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