Significance analysis of microarrays
    10.
    发明授权
    Significance analysis of microarrays 失效
    微阵列的意义分析

    公开(公告)号:US07363165B2

    公开(公告)日:2008-04-22

    申请号:US09811762

    申请日:2001-03-19

    CPC classification number: G06F19/20 C12Q2600/158

    Abstract: Microarrays can measure the expression of thousands of genes and thus identify changes in expression between different biological states. Methods are needed to determine the significance of these changes, while accounting for the enormous number of genes. We describe a new method, Significance Analysis of Microarrays (SAM), that assigns a score to each gene based on the change in gene expression relative to the standard deviation of repeated measurements. For genes with scores greater than an adjustable threshold, SAM uses permutations of the repeated measurements to estimate the percentage of such genes identified by chance, the false discovery rate (FDR). When the transcriptional response of human cells to ionizing radiation was measured by microarrays, SAM identified 34 genes that changed at least 1.5-fold with an estimated FDR of 12%, compared to FDRs of 60% and 84% using conventional methods of analysis. Of the 34 genes, 19 were involved in cell cycle regulation, and 3 in apoptosis. Surprisingly, 4 nucleotide excision repair genes were induced, suggesting that this repair pathway for UV-damaged DNA might play a heretofore unrecognized role in repairing DNA damaged by ionizing radiation.

    Abstract translation: 微阵列可以测量数千个基因的表达,从而识别不同生物状态之间的表达变化。 需要方法来确定这些变化的重要性,同时占据了大量的基因。 我们描述了一种基于相对于重复测量的标准偏差的基因表达变化为每个基因分配分数的微阵列(SAM)的新方法。 对于分数大于可调阈值的基因,SAM使用重复测量的排列来估计偶然识别的这些基因的百分比,即错误发现率(FDR)。 当通过微阵列测量人类细胞对电离辐射的转录反应时,SAM使用常规分析方法鉴定了34个基因,其变化至少1.5倍,估计FDR为12%,而FDR为60%和84%。 在34个基因中,19个参与细胞周期调控,3个在凋亡中。 令人惊讶的是,诱导了4个核苷酸切除修复基因,表明这种UV损伤的DNA的修复途径可能在修复被电离辐射损伤的DNA中未被认识到的作用。

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