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The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

Authors :
Alan Brunner
Glenda C. Delenstarr
Timothy K. McDaniel
Lisa J. Croner
Chunlin Xiao
Raymond R. Samaha
Wen Yang
Lei Guo
Stephen J. Walker
Terry Osborn
Federico Goodsaid
P. Scott Pine
J. Christopher Corton
Yuling Luo
Yaron Turpaz
Alexander Wong
Raj K. Puri
Jean Thierry-Mieg
Michael A Wilson
Anne Bergstrom Lucas
Heather Harbottle
Eli Hatchwell
Donna Brown
Jie Wu
Shawn Levy
Wendell D. Jones
Ola Myklebost
Craig A. Hauser
Vincent Bertholet
J. Eugene LeClerc
David J. Dix
Scott A. Jackson
Eugene Chudin
Beena Vallanat
Susan D. Hester
Mark Schena
Barry A. Rosenzweig
James J. Chen
Paul K. Wolber
Adam Papallo
Yongming Andrew Sun
Shawn C. Baker
Uwe Scherf
Zoltan Szallasi
William Slikker
Kenneth L. Philips
Xutao Deng
Lajos Pusztai
Sue Jane Wang
Janet Hager
Xu Guo
Tao Han
Charles Wang
Frank Staedtler
Hongmei Sun
Svetlana Shchegrova
Christopher Davies
Liang Zhang
James C. Willey
Yaping Zong
Kathleen Y. Lee
Paul K. Haje
James C. Fuscoe
Ying Liu
Natalia Novoradovskaya
Russell D. Wolfinger
Kathryn Gallagher
Roderick V. Jensen
Feng Qian
Wenjun Bao
Christophe Van
Bud Bromley
Janet A. Warrington
Leming Shi
Tucker A. Patterson
David Dorris
Huixiao Hong
Winston Patrick Kuo
Hongzu Ren
Xiaoxi Megan Cao
Cecilie Boysen
Michael S. Orr
Danielle Thierry-Mieg
Xiaohui Fan
Felix W. Frueh
Gary P. Schroth
Yonghong Wang
Chunmei Liu
Yunqing Ma
Shashi Amur
Lu Zhang
Michael Lombardi
Dave D. Smith
Tzu Ming Chu
Jun Xu
Charles D. Johnson
Baitang Ning
Timothy Davison
Botoul Maqsodi
Karol L. Thompson
Thomas A. Cebula
Richard Shippy
Edward K. Lobenhofer
Weida Tong
Quan Zhen Li
Catalin Barbacioru
Qian Xie
Aron Charles Eklund
Ernest S. Kawasaki
Patrick J. Collins
Zivana Tezak
Elizabeth Herness Peters
Francoise de Longueville
Stephanie Fulmer-Smentek
Hong Fang
Patrick Hurban
Scott R. Magnuson
Hanlee P. Ji
Roger Perkins
Mitch Rosen
Ron L. Peterson
Weigong Ge
Stephen C. Harris
Sheng Zhong
Charles R. Knight
Damir Herman
Zhenqiang Su
Roger D. Canales
Nan Mei
Jing Cheng
Irina Tikhonova
Gavin M. Fischer
Laura H. Reid
Robert Setterquist
Yvonne P. Dragan
Jing Han
John F. Corson
Source :
Nature Biotechnology. 24:1151-1161
Publication Year :
2006
Publisher :
Springer Science and Business Media LLC, 2006.

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.

Details

ISSN :
15461696 and 10870156
Volume :
24
Database :
OpenAIRE
Journal :
Nature Biotechnology
Accession number :
edsair.doi.dedup.....4adf1138546582bb6865b8c5111ba4f9
Full Text :
https://doi.org/10.1038/nbt1239