A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies

作者：Kuo Winston Patrick^*; Liu Fang; Trimarchi Jeff; Punzo Claudio; Lombardi Michael; Sarang Jasjit; Whipple Mark E; Maysuria Malini; Serikawa Kyle; Young Lee Sun; McCrann Donald; Kang Jason; Shearstone Jeffrey R; Burke Jocelyn; Park Daniel J; Wang Xiaowei; Rector Trent L; Ricciardi Castagnoli Paola; Perrin Steven; Choi Sangdun; Bumgarner Roger; Kim Ju Han; Short Glenn F III; Freeman Mason W; Seed Brian; Jensen Roderick; Church George M; Hovig Eivind

来源：Nature Biotechnology, 2006, 24(7): 832-840.

DOI：10.1038/nbt1217

Over the last decade, gene expression microarrays have had a profound impact on biomedical research. The diversity of platforms and analytical methods available to researchers have made the comparison of data from multiple platforms challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and 'in-house' platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by quantitative real-time (QRT)-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent preprocessing, commercial arrays were more consistent than in- house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.

• 出版日期2006-7