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DNA microarrays in drug discovery and development

Nature Genetics volume 21, pages 48–50 (1999)Cite this article

Abstract

DNA microarrays can be used to measure the expression patterns of thousands of genes in parallel, generating clues to gene function that can help to identify appropriate targets for therapeutic intervention. They can also be used to monitor changes in gene expression in response to drug treatments. Here, we discuss the different ways in which microarray analysis is likely to affect drug discovery.

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References

  1. Oksenberg, D. et al. A single amino–acid difference confers major pharmacological variation between human and rodent 5–HT1B receptors. Nature 360, 161–163 ( 1992).

    Article  CAS  Google Scholar 

  2. Debouck, C. et al. Human immunodeficiency virus protease expressed in Escherichia coli exhibits autoprocessing and specific maturation of the gag precursor. Proc. Natl Acad. Sci. USA 84, 8903– 8906 (1987).

    Article  CAS  Google Scholar 

  3. Adams, M.D. et al. Sequence identification of 2,375 human brain genes. Nature 355, 632–634 ( 1992).

    Article  CAS  Google Scholar 

  4. Bergsma, D.J. et al. Cloning and characterization of a human angiotensin II type 1 receptor. Biochem. Biophys. Res. Comm. 183, 989–995 (1992).

    Article  CAS  Google Scholar 

  5. Smith, R.D. & Timmermans, P.B. Human angiotensin receptor subtypes. Curr. Opin. Nephrol. Hypertens. 3, 112–122 (1994).

    Article  CAS  Google Scholar 

  6. Drake, F.H. et al. Cathepsin K, but not cathepsins B, L, or S, is abundantly expressed in human osteoclasts. J. Biol. Chem. 271, 12511–12516 (1996).

    Article  CAS  Google Scholar 

  7. Pietu, G. et al. Novel gene transcripts preferentially expressed in human muscles revealed by quantitative hybridization of a high density cDNA array. Genome Res. 6, 492–503 ( 1996).

    Article  CAS  Google Scholar 

  8. Cole, K.A., Krizman, D.B. & Emmert–Buck, M.R. The genetics of cancer—a 3D model. Nature Genet. 21, 38–41 (1999).

    Article  CAS  Google Scholar 

  9. Heller, R.A. et al. Discovery and analysis of inflammatory disease–related genes using cDNA microarrays. Proc. Natl Acad. Sci. USA 94, 2150–2155 (1997).

    Article  CAS  Google Scholar 

  10. Schena, M. et al. Parallel human genome analysis: microarray–based expression monitoring of 1000 genes. Proc. Natl Acad. Sci. USA 93, 10614–10619 (1996).

    Article  CAS  Google Scholar 

  11. Wang, X. et al. Discovery of adrenomedullin in rat ischemic cortex and evidence for its role in exacerbating focal brain ischemic damage. Proc. Natl Acad. Sci. USA 92, 11480–11484 (1995).

    Article  CAS  Google Scholar 

  12. Qu, D. et al. A role for melanin–concentrating hormone in the central regulation of feeding behaviour. Nature 380, 243– 247 (1996).

    Article  CAS  Google Scholar 

  13. De Risi, 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).

    Article  CAS  Google Scholar 

  14. Mekalanos, J.J. Environmental signals controlling expression of virulence determinants in bacteria. J. Bacteriol. 174, 1– 7 (1992).

    Article  CAS  Google Scholar 

  15. Gray, N.S. et al. Exploiting chemical libraries, structure, and genomics in the search for kinase inhibitors. Science 281, 533–538 (1998).

    Article  CAS  Google Scholar 

  16. Marton, M.J. et al. Drug target validation and identification of secondary drug target effects using DNA microarrays. Nature Med. 4 , 1293–1301 (1998).

    Article  CAS  Google Scholar 

  17. Bertilsson, G. et al. Identification of a human nuclear receptor defines a new signaling pathway for CYP3A induction. Proc. Natl Acad. Sci. USA 95, 12208–12213 (1998).

    Article  CAS  Google Scholar 

  18. Bassett, D.E. Jr, Eisen, M.B. & Boguski, M.S. Gene expression informatics—it's all in your mine. Nature Genet. 21, 51– 55 (1999).

    Article  CAS  Google Scholar 

  19. Persidis, A. Proteomics. Nature Biotechnol. 16, 393– 394 (1998).

    Article  CAS  Google Scholar 

Download references

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Authors and Affiliations

  1. SmithKline Beecham Pharmaceuticals., 709 Swedeland Road, King of Prussia, 19406, Pennsylvania, USA

    Christine Debouck

  2. SmithKline Beecham Pharmaceuticals., New Frontiers Science Park, Third Avenue, Harlow, Essex,, CM19 5AW, UK

    Peter N. Goodfellow

Authors
  1. Christine Debouck
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  2. Peter N. Goodfellow
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Debouck, C., Goodfellow, P. DNA microarrays in drug discovery and development. Nat Genet 21 (Suppl 1), 48–50 (1999). https://doi.org/10.1038/4475

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