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Global functional profiling of gene expression.

机译：基因表达的整体功能分析。

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摘要

The typical result of a microarray experiment is a list of tens or hundreds of genes found to be differentially regulated in the condition under study. Independent of the methods used to select these genes, the common task faced by any researcher is to translate these lists of genes into a better understanding of the biological phenomena involved. Currently, this is done through a tedious combination of searches through the literature and a number of public databases. We developed Onto-Express (OE) as a novel tool able to automatically translate such lists of differentially regulated genes into functional profiles characterizing the impact of the condition studied. OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function, and chromosome location. Statistical significance values are calculated for each category. We demonstrate the validity and the utility of this comprehensive global analysis of gene function by analyzing two breast cancer datasets from two separate laboratories. OE was able to identify correctly all biological processes postulated by the original authors, as well as discover novel relevant mechanisms.
机译：微阵列实验的典型结果是发现数十种或数百种在研究条件下受到差异调节的基因。与选择这些基因的方法无关，任何研究人员都面临的共同任务是将这些基因列表转化为对所涉及的生物学现象的更好理解。目前，这是通过乏味的文献搜索和一些公共数据库搜索组合来完成的。我们开发了一种新型工具Onto-Express（OE），该工具能够自动将此类差异调节基因列表翻译成表征研究条件影响的功能概况。 OE构建用于以下类别的功能配置文件（使用基因本体论术语）：生化功能，生物过程，细胞作用，细胞成分，分子功能和染色体位置。为每个类别计算统计显着性值。我们通过分析来自两个不同实验室的两个乳腺癌数据集，证明了这种全面的基因功能全局分析的有效性和实用性。 OE能够正确地识别原始作者推测的所有生物过程，并发现新颖的相关机制。

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