Multiple-laboratory comparison of microarray platforms
Multiple-laboratory comparison of microarray platforms
复制标题
DOI：
10.1038/nmeth756
复制
发表时间：
2005-05-01
期刊：
影响因子：
48
通讯作者：
Yu, W
中科院分区：
文献类型：
--
作者：
Irizarry, RA;Warren, D;Yu, W
微阵列技术是一种强大的工具，可以同时测量数千个基因的RNA表达。已经发表了各种研究，比较了竞争平台，结果好坏参半：一些发现一致，另一些没有。随着开始使用微阵列的研究人员数量和跨平台荟萃分析研究的数量迅速增加，适当的平台评估变得更加重要。在这里，我们提出了一个比较研究的结果，提供了重要的改进，以前在文献中描述的。特别是，我们注意到以前发表的论文都没有考虑标签之间的差异。对于本研究，来自美国华盛顿-巴尔的摩地区的10个实验室组成了一个联盟，以比较使用相同RNA样品从三个广泛使用的平台获得的数据。我们使用适当的统计分析来证明，使用相同平台的选项卡中获得的数据存在相对较大的差异，但性能最好的选项卡的结果相当一致。
Microarray technology is a powerful tool for measuring RNA expression for thousands of genes at once. Various studies have been published comparing competing platforms with mixed results: some find agreement, others do not. As the number of researchers starting to use microarrays and the number of cross-platform meta-analysis studies rapidly increases, appropriate platform assessments become more important. Here we present results from a comparison study that offers important improvements over those previously described in the literature. In particular, we noticed that none of the previously published papers consider differences between tabs. For this study, a consortium of ten laboratories from the Washington, DC-Baltimore, USA, area was formed to compare data obtained from three widely used platforms using identical RNA samples. We used appropriate statistical analysis to demonstrate that there are relatively large differences in data obtained in tabs using the same platform, but that the results from the best-performing tabs agree rather well.