QA/QC issues to aid regulatory acceptance of microarray gene expression data

被引:9
作者
Fuscoe, James C.
Tong, Weida
Shi, Leming
机构
[1] US FDA, Natl Ctr Toxicol Res, Ctr Funct Genom, Div Syst Toxicol, Jefferson, AR 72079 USA
[2] US FDA, Natl Ctr Toxicol Res, Div Syst Toxicol, Ctr Toxicoinformat, Jefferson, AR 72079 USA
关键词
FDA critical path; MAQC; regulatory decision-making;
D O I
10.1002/em.20293
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The U.S. Food and Drug Administration is responsible for (1) promoting and protecting public health by assuring the safety and effectiveness of medicines and medical devices and (2) advancing public health by helping to speed innovations that make medicines and foods safer, more effective, and more affordable. The genomics revolution has dramatically increased our knowledge of basic biology but this has not resulted in the expected acceleration of new medical product development. The Agency's Critical Path to New Medical Products stresses that new tools are needed to address this pipeline problem. Microarray technology is one of these promising tools although questions have risen about the reproducibility of measurements. The Microarray Quality Control (MAQC) Project was initiated by FDA scientists to address this issue. This large project, which evaluated reference RNA samples on seven microarray platforms, found good intralaboratory repeatability and interlaboratory reproducibility. In addition, there was high cross-platform consistency. All data are available free of cost and the reference RNA samples are available for proficiency testing. Thus, current microarray technology appears to provide both reliability and consistency for regulatory submissions.
引用
收藏
页码:349 / 353
页数:5
相关论文
共 18 条
[1]   Evaluation of DNA microarray results with quantitative gene expression platforms [J].
Canales, Roger D. ;
Luo, Yuling ;
Willey, James C. ;
Austermiller, Bradley ;
Barbacioru, Catalin C. ;
Boysen, Cecilie ;
Hunkapiller, Kathryn ;
Jensen, Roderick V. ;
Knight, Charles R. ;
Lee, Kathleen Y. ;
Ma, Yunqing ;
Maqsodi, Botoul ;
Papallo, Adam ;
Peters, Elizabeth Herness ;
Poulter, Karen ;
Ruppel, Patricia L. ;
Samaha, Raymond R. ;
Shi, Leming ;
Yang, Wen ;
Zhang, Lu ;
Goodsaid, Federico M. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1115-1122
[2]  
Couzin J, 2006, SCIENCE, V313, P1559
[3]   A framework for the use of genomics data at the EPA [J].
Dix, David J. ;
Gallagher, Kathryn ;
Benson, William H. ;
Groskinsky, Brenda L. ;
McClintock, J. Thomas ;
Dearfield, Kerry L. ;
Farland, William H. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1108-1111
[4]  
Eisenstein M, 2006, NATURE, V442, P1067, DOI [10.1038/4421067a, 10.1038/4421067b]
[5]   Impact of microarray data quality on genomic data submissions to the FDA [J].
Frueh, Felix W. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1105-1107
[6]   Rat toxicogenomic study reveals analytical consistency across microarray platforms [J].
Guo, Lei ;
Lobenhofer, Edward K. ;
Wang, Charles ;
Shippy, Richard ;
Harris, Stephen C. ;
Zhang, Lu ;
Mei, Nan ;
Chen, Tao ;
Herman, Damir ;
Goodsaid, Federico M. ;
Hurban, Patrick ;
Phillips, Kenneth L. ;
Xu, Jun ;
Deng, Xutao ;
Sun, Yongming Andrew ;
Tong, Weida ;
Dragan, Yvonne P. ;
Shi, Leming .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1162-1169
[7]   Microarray quality in the spotlight again [J].
Kiermer, Veronique .
NATURE METHODS, 2006, 3 (10) :772-772
[8]   Can the pharmaceutical industry reduce attrition rates? [J].
Kola, I ;
Landis, J .
NATURE REVIEWS DRUG DISCOVERY, 2004, 3 (08) :711-715
[9]   Getting the noise out of gene arrays [J].
Marshall, E .
SCIENCE, 2004, 306 (5696) :630-631
[10]   Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project [J].
Patterson, Tucker A. ;
Lobenhofer, Edward K. ;
Fulmer-Smentek, Stephanie B. ;
Collins, Patrick J. ;
Chu, Tzu-Ming ;
Bao, Wenjun ;
Fang, Hong ;
Kawasaki, Ernest S. ;
Hager, Janet ;
Tikhonova, Irina R. ;
Walker, Stephen J. ;
Zhang, Liang ;
Hurban, Patrick ;
de Longueville, Francoise ;
Fuscoe, James C. ;
Tong, Weida ;
Shi, Leming ;
Wolfinger, Russell D. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1140-1150