Multiple-laboratory comparison of microarray platforms

被引:603
作者
Irizarry, RA [1 ]
Warren, D
Spencer, F
Kim, IF
Biswal, S
Frank, BC
Gabrielson, E
Garcia, JGN
Geoghegan, J
Germino, G
Griffin, C
Hilmer, SC
Hoffman, E
Jedlicka, AE
Kawasaki, E
Martínez-Murillo, F
Morsberger, L
Lee, H
Petersen, D
Quackenbush, J
Scott, A
Wilson, M
Yang, YQ
Ye, SQ
Yu, W
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA
[2] Johns Hopkins Univ, Dept Surg, Baltimore, MD 21205 USA
[3] Johns Hopkins Univ, Sch Med, McKusick Nathans Inst Genet Med, Baltimore, MD 21205 USA
[4] Johns Hopkins Univ, Dept Med, JHU, NIDDK,Gene Profiling Ctr, Baltimore, MD 21205 USA
[5] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Environm Hlth Sci, Baltimore, MD 21205 USA
[6] Inst Gen Res, Gaithersburg, MD 20878 USA
[7] Johns Hopkins Univ, Dept Pathol, Baltimore, MD 21231 USA
[8] Johns Hopkins Univ, Sch Med, Div Pulm & Crit Care Med, Baltimore, MD 21224 USA
[9] NCIs Microarray Core Facil, Ctr Adv Technol, Gaithersburg, MD 20877 USA
[10] Johns Hopkins Univ, Sch Med, Dept Pathol, Baltimore, MD 21287 USA
[11] George Washington Univ, Childrens Natl Med Ctr, Med Genet Res Ctr, Washington, DC 20052 USA
[12] Johns Hopkins Bloomberg Sch Publ Hlth, W Harry Feinstone Dept Mol Microbiol & Immunol, Baltimore, MD 21205 USA
[13] Johns Hopkins Univ, Dept Mol Biol & Genet, Baltimore, MD 21205 USA
[14] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA
[15] NIAID, Res Technol Branch, DIR, Bethesda, MD 20892 USA
[16] Johns Hopkins Univ, Baltimore, MD 21231 USA
关键词
D O I
10.1038/nmeth756
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:345 / 349
页数:5
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