Maximization of signal derived from cDNA microarrays.
Maximization of signal derived from cDNA microarrays.
复制标题
最大化来自 cDNA 微阵列的信号。
DOI：
10.2144/01301dd04
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发表时间：
2001
期刊：
影响因子：
2.7
通讯作者：
P. Bugelski
中科院分区：
文献类型：
--
作者：
S. Wildsmith;Gary E. Archer;A. Winkley;P. Lane;P. Bugelski
微阵列技术是同时生成大量基因表达数据的有力工具。然而，对于任何化验，它必须是可重复的，以给予对结果的信心。使用经典的统计方法——实验的析因设计——我们评估了系统中不同实验因素的影响。当用不同的酶、荧光标记或RNA纯化方法代替标准组分时，可以看到对信号的显著影响。这导致了一种改进程序的实施，在不影响系统可变性的情况下最大化信号，从而提高了信噪比。此外，我们能够量化微阵列和微阵列内复制之间的可变性。
Microarray technology is a powerful tool for generating expression data on a large number of genes simultaneously. However, as for any assay, it must be reproducible to give confidence in the results. Using a classical statistical method--the factorial design of experiments--we have assessed the effects of different experimental factors in our system. Significant effects on signal were seen when the standard components were substituted with a different enzyme, fluorescent label, or RNA purification method. This has led to the implementation of an improved procedure that maximizes signal without affecting the variability of the system, thus increasing the signal-to-noise ratio. In addition, we were able to quantify the variability between microarrays and replicates within microarrays.