Abstract
Sharing of microarray data has many advantages for the scientific and biomedical community, and should be advocated by neuroscience journals. The goals of sharing are manifold, and include improving analysis and confidence in results, and facilitating global comparisons between experiments, while at the same time, not penalizing those who share. The sharing of microarray data poses unique challenges relative to more generic data such as DNA sequences. These challenges are surmountable, and various sharing formats are possible. Centralized non-commercial databases are being developed to facilitate this process.
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References
Brown, P. O. & Botstein, D. Exploring the new world of the genome with DNA microarrays. Nature Genet. 21, 33–37 (1999).
Geschwind, D. H. Mice, microarrays, and the genetic diversity of the brain. Proc. Natl Acad. Sci. USA 97, 10676–10678 (2000).
Lipshutz, R. J., Fodor, S. P., Gingeras, T. R. & Lockhart, D. J. High density synthetic oligonucleotide arrays. Nature Genet. 21, 20–24 (1999).
Chen, J. J. et al. Profiling expression patterns and isolating differentially expressed genes by cDNA microarray system with colorimetry detection. Genomics 51, 313–324 (1998).
Chiang, L. W. et al. An orchestrated gene expression component of neuronal programmed cell death revealed by cDNA array analysis. Proc. Natl Acad. Sci. USA 98, 2814–2819 (2001).
Tanaka, T. S. et al. Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray. Proc. Natl Acad. Sci. USA 97, 9127–9132 (2000).
Collins, F. S. & Mansoura, M. K. The Human Genome Project. Cancer 91, 221–225 (2001).
DeRisi, J. et al. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nature Genet. 14, 457–460 (1996).
Schena, M. et al. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl Acad. Sci. USA 93, 10614–10619 (1996).
DeRisi, J. L., Iyer, V. R. & Brown, P. O. Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 278, 680–686 (1997).
Velculescu, V. E., Zhang, L., Vogelstein, B. & Kinzler, K. W. Serial analysis of gene expression. Science 270, 484–487 (1995).
Velculescu, V. E., Vogelstein, B. & Kinzler, K. W. Analysing uncharted transcriptomes with SAGE. Trends Genet. 16, 423–425 (2000).
Luo, Z. & Geschwind, D. H. Microarray applications in neuroscience. Neurobiol. Dis. 8, 183–193 (2001).
Stoeckert, C. et al. A relational schema for both array-based and SAGE gene expression experiments. Bioinformatics 17, 300–308 (2001).
Welford, S. M. et al. Detection of differentially expressed genes in primary tumor tissues using representational differences analysis coupled to microarray hybridization. Nucleic Acids Res. 26, 3059–3065 (1998).
Geschwind, D. H. et al. A genetic analysis of neural progenitor differentiation. Neuron 29, 325–339 (2001).
Luo, L. et al. Gene expression profiles of laser-captured adjacent neuronal subtypes. Nature Med. 5, 117–122 (1999).
Sandberg, R. et al. Regional and strain-specific gene expression mapping in the adult mouse brain. Proc. Natl Acad. Sci. USA 97, 11038–11043 (2000).
Lee, M. L., Kuo, F. C., Whitmore, G. A. & Sklar, J. Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. Proc. Natl Acad. Sci. USA 97, 9834–9839 (2000).
Brazma, A., Robinson, A., Cameron, G. & Ashburner, M. One-stop shop for microarray data. Nature 403, 699–700 (2000).
Mirnics, K., Middleton, F. A., Marquez, A., Lewis, D. A. & Levitt, P. Molecular characterization of schizophrenia viewed by microarray analysis of gene expression in prefrontal cortex. Neuron 28, 53–67 (2000).
Eberwine, J. Amplification of mRNA populations using aRNA generated from immobilized oligo(dT)-T7 primed cDNA. Biotechniques 20, 584–591 (1996).
Acknowledgements
I am grateful to my colleagues Chiara Sabatti and Harley Kornblum, and to members of the Geschwind Laboratory, especially Joseph Dougherty, for their comments on the manuscript and helpful discussions. I thank Bonita Porch for her editorial assistance.
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Geschwind, D. Sharing gene expression data: an array of options. Nat Rev Neurosci 2, 435–438 (2001). https://doi.org/10.1038/35077576
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DOI: https://doi.org/10.1038/35077576
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