Database of mRNA gene expression profiles of multiple human organs

  1. Chang Gue Son1,2,4,
  2. Sven Bilke1,4,
  3. Sean Davis3,
  4. Braden T. Greer1,
  5. Jun S. Wei1,
  6. Craig C. Whiteford1,
  7. Qing-Rong Chen1,
  8. Nicola Cenacchi1, and
  9. Javed Khan1,5
  1. 1 Advanced Technology Center, Oncogenomics Section, Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Gaithersburg, Maryland 20877, USA
  2. 2 Department of Internal Medicine, College of Oriental Medicine, Daejeon University, Daejeon 301-724, Korea
  3. 3 National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA

Abstract

Genome-wide expression profiling of normal tissue may facilitate our understanding of the etiology of diseased organs and augment the development of new targeted therapeutics. Here, we have developed a high-density gene expression database of 18,927 unique genes for 158 normal human samples from 19 different organs of 30 different individuals using DNA microarrays. We report four main findings. First, despite very diverse sample parameters (e.g., age, ethnicity, sex, and postmortem interval), the expression profiles belonging to the same organs cluster together, demonstrating internal stability of the database. Second, the gene expression profiles reflect major organ-specific functions on the molecular level, indicating consistency of our database with known biology. Third, we demonstrate that any small (i.e., n ∼ 100), randomly selected subset of genes can approximately reproduce the hierarchical clustering of the full data set, suggesting that the observed differential expression of >90% of the probed genes is of biological origin. Fourth, we demonstrate a potential application of this database to cancer research by identifying 19 tumor-specific genes in neuroblastoma. The selected genes are relatively underexpressed in all of the organs examined and belong to therapeutically relevant pathways, making them potential novel diagnostic markers and targets for therapy. We expect this database will be of utility for developing rationally designed molecularly targeted therapeutics in diseases such as cancer, as well as for exploring the functions of genes.

Footnotes

  • Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.3124505.

  • [Supplemental material is available online at www.genome.org and at http://home.ccr.cancer.gov/oncology/oncogenomics/.]

  • 4 These authors contributed equally to this work.

  • 5 Corresponding author. E-mail khanjav{at}mail.nih.gov; fax (301) 480-0314.

    • Accepted December 22, 2004.
    • Received August 7, 2004.
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