Human Molecular Genetics, 2001, Vol. 10, No. 7 657-662
© 2001 Oxford University Press
Tissue microarray technology for high-throughput molecular profiling of cancer
1Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA, 2Laboratory of Cancer Genetics, University of Tampere and Tampere University Hospital, FIN-33520 Tampere, Finland and 3Institute of Pathology, University of Basel, CH-4003 Basel, Switzerland
Tissue microarray (TMA) technology allows rapid visualization of molecular targets in thousands of tissue specimens at a time, either at the DNA, RNA or protein level. The technique facilitates rapid translation of molecular discoveries to clinical applications. By revealing the cellular localization, prevalence and clinical significance of candidate genes, TMAs are ideally suitable for genomics-based diagnostic and drug target discovery. TMAs have a number of advantages compared with conventional techniques. The speed of molecular analyses is increased by more than 100-fold, precious tissues are not destroyed and a very large number of molecular targets can be analyzed from consecutive TMA sections. The ability to study archival tissue specimens is an important advantage as such specimens are usually not applicable in other high-throughput genomic and proteomic surveys. Construction and analysis of TMAs can be automated, increasing the throughput even further. Most of the applications of the TMA technology have come from the field of cancer research. Examples include analysis of the frequency of molecular alterations in large tumor materials, exploration of tumor progression, identification of predictive or prognostic factors and validation of newly discovered genes as diagnostic and therapeutic targets.
+ To whom correspondence should be addressed at: Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, 49 Convent Drive, Room 4A24, MSC 4465, Bethesda, MD 20892-4465, USA. Tel: +1 301 435 2896; Fax: +1 301 402 7957; Email: okalli@nhgri.nih.gov
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