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The genetics of cancer—a 3D model

Nature Genetics volume 21, pages 38–41 (1999)Cite this article

Abstract

Gene expression microarrays hold great promise for studies of human disease states. There are significant technical issues specific to utilizing clinical tissue samples which have yet to be rigorously addressed and completely overcome. Precise, quantitative measurement of gene expression profiles from specific cell populations is at hand, offering the scientific community the first comprehensive view of the in vivo molecular anatomy of normal cells and their diseased counterparts. Here, we propose a model for integrating—in three dimensions—expression data obtained using the microarray.

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Figure 1: Microarray experiment: normal versus tumour.
Figure 2: Prostate 3D reconstruction database.

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Acknowledgements

We gratefully acknowledge the contributions of the following team members and collaborators of the CGAP Molecular Fingerprinting effort. J.W. Gillespie, V.V. Prabhu, P.J. Munson, R.F. Bonner, A. Lash, D.K. Ornstein, J. Herring, L. Grouse, P.H. Duray, C.D. Vocke, J. Swalwell, M.R. Brown, C. Englert, E.F. Petricoin, S. Pan, J. Pfeifer, C. Johnson, R.D. Klausner, W. M. Linehan, L.A. Liotta and R. Strausberg.

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Authors and Affiliations

  1. Pathogenetics Unit, Laboratory of Pathology, National Cancer Institute, Bethesda, 20892, Maryland, USA

    Kristina A. Cole & Michael R. Emmert–Buck

  2. Department of Pathology, University of Maryland School of Medicine, Baltimore, 21201, Maryland, USA

    Kristina A. Cole

  3. Cancer Genome Anatomy Project, Office of the Director, National Cancer Institute, Bethesda, 20892, Maryland, USA

    David B. Krizman & Michael R. Emmert–Buck

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Cole, K., Krizman, D. & Emmert–Buck, M. The genetics of cancer—a 3D model. Nat Genet 21 (Suppl 1), 38–41 (1999). https://doi.org/10.1038/4466

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