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Gene expression profiling of human diseases by serial analysis of gene expression

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Journal of Biomedical Science

Abstract

Until recently, the approach to understanding the molecular basis of complex syndromes such as cancer, coronary artery disease, and diabetes was to study the behavior of individual genes. However, it is generally recognized that expression of a number of genes is coordinated both spatially and temporally and that this coordination changes during the development and progression of diseases. Newly developed functional genomic approaches, such as serial analysis of gene expression (SAGE) and DNA microarrays have enabled researchers to determine the expression pattern of thousands of genes simultaneously. One attractive feature of SAGE compared to microarrays is its ability to quantify gene expression without prior sequence information or information about genes that are thought to be expressed. SAGE has been successfully applied to the gene expression profiling of a number of human diseases. In this review, we will first discuss SAGE technique and contrast it to microarray. We will then highlight new biological insights that have emerged from its application to the study of human diseases.

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Authors and Affiliations

  1. Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, JHAAC/4A.30A, 21224, Baltimore, Md., USA

    Shui Qing Ye MD, PhD

  2. Department of Biological Science, University of Delaware, Newark, Del.

    David C. Usher

  3. Department of Surgery, University of Maryland, Baltimore, Md., USA

    Li Q. Zhang

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  1. Shui Qing Ye MD, PhD
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  2. David C. Usher
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  3. Li Q. Zhang
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Qing Ye, S., Usher, D.C. & Zhang, L.Q. Gene expression profiling of human diseases by serial analysis of gene expression. J Biomed Sci 9, 384–394 (2002). https://doi.org/10.1007/BF02256531

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  • DOI: https://doi.org/10.1007/BF02256531

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