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The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Authors:MAQC Consortium  Shi Leming  Reid Laura H  Jones Wendell D  Shippy Richard  Warrington Janet A  Baker Shawn C  Collins Patrick J  de Longueville Francoise  Kawasaki Ernest S  Lee Kathleen Y  Luo Yuling  Sun Yongming Andrew  Willey James C  Setterquist Robert A  Fischer Gavin M  Tong Weida  Dragan Yvonne P  Dix David J  Frueh Felix W  Goodsaid Frederico M  Herman Damir  Jensen Roderick V  Johnson Charles D  Lobenhofer Edward K  Puri Raj K  Schrf Uwe  Thierry-Mieg Jean  Wang Charles  Wilson Mike  Wolber Paul K  Zhang Lu  Amur Shashi  Bao Wenjun  Barbacioru Catalin C  Lucas Anne Bergstrom  Bertholet Vincent  Boysen Cecilie
Affiliation:National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA.
Abstract:Over the last decade, the introduction of microarray technology has had a profound impact on gene expression research. The publication of studies with dissimilar or altogether contradictory results, obtained using different microarray platforms to analyze identical RNA samples, has raised concerns about the reliability of this technology. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and data analysis issues. Expression data on four titration pools from two distinct reference RNA samples were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Here we describe the experimental design and probe mapping efforts behind the MAQC project. We show intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed. This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings.
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