Gene expression profiling as a window into idiopathic pulmonary fibrosis pathogenesis: can we identify the right target genes?
Gene expression profiling as a window into idiopathic pulmonary fibrosis pathogenesis: can we identify the right target genes?
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DOI：
10.1513/pats.200601-011tk
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发表时间：
2006-06-01
期刊：
影响因子：
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通讯作者：
Rosas, Ivan O
中科院分区：
文献类型：
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作者：
Kaminski, Naftali;Rosas, Ivan O
表达微阵列提供基因组水平，转录，高分辨率的配置文件已成功地应用于多种疾病。尽管微阵列提供了关于数千个基因的信息，但许多研究人员更喜欢专注于单个基因并验证其作用，这种方法通常得到资助和期刊评审员的支持。只有少数研究者关注基因表达的整体变化。在这里，我们描述和对比两种一般的方法来使用微阵列数据：还原主义的“樱桃采摘”的方法和更全球化的，定量的“系统”的方法。我们描述了在这两种方法的背景下，与特发性肺纤维化（IPF）相关的微阵列分析实验。虽然它似乎樱桃采摘的方法已经成功地确定新的相关基因在IPF，我们建议，以实现发现潜力的微阵列在IPF和创建一个工作模型的IPF，公正的综合系统的方法是必需的。
Expression microarrays that provide genome-level, transcriptional, high-resolution profiles have been applied successfully to multiple diseases. Although microarrays provide information regarding thousands of genes, many investigators prefer to focus on a single gene and validate its role, an approach often supported by grant and journal reviewers. Only a minority of investigators focus on global changes in gene expression. Here, we describe and contrast two general approaches to the use of microarray data: the reductionist "cherry picking" approach and the more global, quantitative "systems" approach. We describe microarray analysis experiments relevant to idiopathic pulmonary fibrosis (IPF) in the context of these two approaches. Although it seems that the cherry-picking approaches have been successful in identifying new relevant genes in IPF, we suggest that to fulfill the discovery potential of microarrays in IPF and to create a working model of IPF, unbiased integrative systems approaches are required.