Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

DOI Web Site 被引用文献47件
  • U. Alon
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080
  • N. Barkai
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080
  • D. A. Notterman
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080
  • K. Gish
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080
  • S. Ybarra
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080
  • D. Mack
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080
  • A. J. Levine
    Departments of Molecular Biology and Physics, Princeton University, Princeton, NJ 08540; and EOS Biotechnology, 225A Gateway Boulevard, South San Francisco, CA 94080

書誌事項

公開日
1999-06-08
DOI
  • 10.1073/pnas.96.12.6745
公開者
Proceedings of the National Academy of Sciences

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説明

<jats:p> Oligonucleotide arrays can provide a broad picture of the state of the cell, by monitoring the expression level of thousands of genes at the same time. It is of interest to develop techniques for extracting useful information from the resulting data sets. Here we report the application of a two-way clustering method for analyzing a data set consisting of the expression patterns of different cell types. Gene expression in 40 tumor and 22 normal colon tissue samples was analyzed with an Affymetrix oligonucleotide array complementary to more than 6,500 human genes. An efficient two-way clustering algorithm was applied to both the genes and the tissues, revealing broad coherent patterns that suggest a high degree of organization underlying gene expression in these tissues. Coregulated families of genes clustered together, as demonstrated for the ribosomal proteins. Clustering also separated cancerous from noncancerous tissue and cell lines from <jats:italic>in vivo</jats:italic> tissues on the basis of subtle distributed patterns of genes even when expression of individual genes varied only slightly between the tissues. Two-way clustering thus may be of use both in classifying genes into functional groups and in classifying tissues based on gene expression. </jats:p>

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