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Nat Biotechnol. 2006 Dec;24(12):1476-7.
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Nat Biotechnol. 2007 Jan;25(1):25-6; author reply 26-7.
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Nat Biotechnol. 2007 Jan;25(1):27-8; author reply 28-9.
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements.
MAQC Consortium,
Shi L,
Reid LH,
Jones WD,
Shippy R,
Warrington JA,
Baker SC,
Collins PJ,
de Longueville F,
Kawasaki ES,
Lee KY,
Luo Y,
Sun YA,
Willey JC,
Setterquist RA,
Fischer GM,
Tong W,
Dragan YP,
Dix DJ,
Frueh FW,
Goodsaid FM,
Herman D,
Jensen RV,
Johnson CD,
Lobenhofer EK,
Puri RK,
Schrf U,
Thierry-Mieg J,
Wang C,
Wilson M,
Wolber PK,
Zhang L,
Amur S,
Bao W,
Barbacioru CC,
Lucas AB,
Bertholet V,
Boysen C,
Bromley B,
Brown D,
Brunner A,
Canales R,
Cao XM,
Cebula TA,
Chen JJ,
Cheng J,
Chu TM,
Chudin E,
Corson J,
Corton JC,
Croner LJ,
Davies C,
Davison TS,
Delenstarr G,
Deng X,
Dorris D,
Eklund AC,
Fan XH,
Fang H,
Fulmer-Smentek S,
Fuscoe JC,
Gallagher K,
Ge W,
Guo L,
Guo X,
Hager J,
Haje PK,
Han J,
Han T,
Harbottle HC,
Harris SC,
Hatchwell E,
Hauser CA,
Hester S,
Hong H,
Hurban P,
Jackson SA,
Ji H,
Knight CR,
Kuo WP,
LeClerc JE,
Levy S,
Li QZ,
Liu C,
Liu Y,
Lombardi MJ,
Ma Y,
Magnuson SR,
Maqsodi B,
McDaniel T,
Mei N,
Myklebost O,
Ning B,
Novoradovskaya N,
Orr MS,
Osborn TW,
Papallo A,
Patterson TA,
Perkins RG,
Peters EH,
Peterson R,
Philips KL,
Pine PS,
Pusztai L,
Qian F,
Ren H,
Rosen M,
Rosenzweig BA,
Samaha RR,
Schena M,
Schroth GP,
Shchegrova S,
Smith DD,
Staedtler F,
Su Z,
Sun H,
Szallasi Z,
Tezak Z,
Thierry-Mieg D,
Thompson KL,
Tikhonova I,
Turpaz Y,
Vallanat B,
Van C,
Walker SJ,
Wang SJ,
Wang Y,
Wolfinger R,
Wong A,
Wu J,
Xiao C,
Xie Q,
Xu J,
Yang W,
Zhang L,
Zhong S,
Zong Y,
Slikker W Jr.
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA.
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.
PMID: 16964229 [PubMed - indexed for MEDLINE]
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Cited by over 100 PubMed Central articles
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Evaluation of microarray preprocessing algorithms based on concordance with rt-PCR in clinical samples.
Gyorffy B, Molnar B, Lage H, Szallasi Z, Eklund AC.
PLoS One. 2009 May 21; 4(5):e5645. Epub 2009 May 21.
[PLoS One. 2009]
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Transcriptomics reveals extensive inducible biotransformation in the soil-dwelling invertebrate Folsomia candida exposed to phenanthrene.
Nota B, Bosse M, Ylstra B, van Straalen NM, Roelofs D.
BMC Genomics. 2009 May 20; 10:236. Epub 2009 May 20.
[BMC Genomics. 2009]
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Intra-platform repeatability and inter-platform comparability of microRNA microarray technology.
Sato F, Tsuchiya S, Terasawa K, Tsujimoto G.
PLoS One. 2009; 4(5):e5540. Epub 2009 May 14.
[PLoS One. 2009]
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