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Science 22 October 2004:
Vol. 306. no. 5696, pp. 630 - 631
DOI: 10.1126/science.306.5696.630
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Getting the Noise Out of Gene Arrays

Eliot Marshall

Thousands of papers have reported results obtained using gene arrays, which track the activity of multiple genes simultaneously. But are these results reproducible?

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THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
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Regional variation in gene expression in the healthy colon is dysregulated in ulcerative colitis.
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Apparently low reproducibility of true differential expression discoveries in microarray studies.
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National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines for Use of Tumor Markers in Clinical Practice: Quality Requirements.
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Bromodomain 4 activation predicts breast cancer survival.
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Selection and validation of normalization methods for c-DNA microarrays using within-array replications.
J. Fan and Y. Niu (2007)
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Oligonucleotide microarrays: widely applied poorly understood.
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Brief Funct Genomic Proteomic
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Modeling nonlinearity in dilution design microarray data.
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Nonrandom variations in human cancer ESTs indicate that mRNA heterogeneity increases during carcinogenesis.
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Multiple Gene Expression Classifiers from Different Array Platforms Predict Poor Prognosis of Colorectal Cancer.
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Z. Zheng, Y. Luo, and G. K. McMaster (2006)
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Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes.
C. Prieto, M.J. Rivas, J.M. Sanchez, J. Lopez-Fidalgo, and J. De Las Rivas (2006)
Bioinformatics 22, 1103-1110
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An antibody-based microarray assay for small RNA detection.
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Nucleic Acids Res. 34, e52
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The impact of expression profiling on prognostic and predictive testing in breast cancer..
J S Reis-Filho, C Westbury, and J-Y Pierga (2006)
J. Clin. Pathol. 59, 225-231
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Divergence between motoneurons: gene expression profiling provides a molecular characterization of functionally discrete somatic and autonomic motoneurons.
D. Cui, K. J. Dougherty, D. W. Machacek, M. Sawchuk, S. Hochman, and D. J. Baro (2006)
Physiol Genomics 24, 276-289
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Use of a mixed tissue RNA design for performance assessments on multiple microarray formats.
K. L. Thompson, B. A. Rosenzweig, P. S. Pine, J. Retief, Y. Turpaz, C. A. Afshari, H. K. Hamadeh, M. A. Damore, M. Boedigheimer, E. Blomme, et al. (2005)
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Distortion of quantitative genomic and expression hybridization by Cot-1 DNA: mitigation of this effect.
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Chronic alcohol exposure alters transcription broadly in a key integrative brain nucleus for homeostasis: the nucleus tractus solitarius.
M. Y. Covarrubias, R. L. Khan, R. Vadigepalli, J. B. Hoek, and J. S. Schwaber (2005)
Physiol Genomics 24, 45-58
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The Transcriptional Landscape of the Mammalian Genome.
The FANTOM Consortium, P. Carninci, T. Kasukawa, S. Katayama, J. Gough, M. C. Frith, N. Maeda, R. Oyama, T. Ravasi, B. Lenhard, et al. (2005)
Science 309, 1559-1563
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Gene expression profiling of experimental traumatic spinal cord injury as a function of distance from impact site and injury severity.
A. De Biase, S. M. Knoblach, S. Di Giovanni, C. Fan, A. Molon, E. P. Hoffman, and A. I. Faden (2005)
Physiol Genomics 22, 368-381
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Transcriptional profiling of tissue plasticity: role of shifts in gene expression and technical limitations.
M. Fluck, C. Dapp, S. Schmutz, E. Wit, and H. Hoppeler (2005)
J Appl Physiol 99, 397-413
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Empirical Establishment of Oligonucleotide Probe Design Criteria.
Z. He, L. Wu, X. Li, M. W. Fields, and J. Zhou (2005)
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Application of genome-wide expression analysis to human health and disease.
J. P. Cobb, M. N. Mindrinos, C. Miller-Graziano, S. E. Calvano, H. V. Baker, W. Xiao, K. Laudanski, B. H. Brownstein, C. M. Elson, D. L. Hayden, et al. (2005)
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Science. ISSN 0036-8075 (print), 1095-9203 (online)