Sendera Timothy J, Dorris David, Ramakrishnan Ramesh, Nguyen Allen, Trakas Dionisios, Mazumder Abhijit
Motorola Life Sciences, Northbrook, IL, USA.
Neurochem Res. 2002 Oct;27(10):1005-26. doi: 10.1023/a:1020948603490.
DNA microarrays have been used in applications ranging from the assignment of gene function to analytical uses in prognostics. However, the detection sensitivity, cross hybridization, and reproducibility of these arrays can affect experimental design and data interpretation. Moreover, several technologies are available for fabrication of oligonucleotide microarrays. We review these technologies and performance attributes and, with data sets generated from human brain RNA, present statistical tools and methods to analyze data quality and to mine and visualize the data. Our data show high reproducibility and should allow an investigator to discern biological and regional variability from differential expression. Although we have used brain RNA as a model system to illustrate some of these points, the oligonucleotide arrays and methods employed in this study can be used with cell lines, tissue sections, blood, and other fluids. To further demonstrate this point, we provide data generated from total RNA sample sizes of 200 ng.
DNA微阵列已被应用于从基因功能的确定到预后分析用途等多个领域。然而,这些阵列的检测灵敏度、交叉杂交和可重复性会影响实验设计和数据解读。此外,有多种技术可用于制造寡核苷酸微阵列。我们回顾了这些技术及其性能属性,并利用从人脑RNA生成的数据集,展示了分析数据质量以及挖掘和可视化数据的统计工具和方法。我们的数据显示出高可重复性,应能使研究者从差异表达中辨别出生物学和区域变异性。尽管我们使用脑RNA作为模型系统来说明其中一些要点,但本研究中使用的寡核苷酸阵列和方法可用于细胞系、组织切片、血液及其他液体。为进一步证明这一点,我们提供了来自200 ng总RNA样本量生成的数据。