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Tissue microarray technology for high-throughput molecular profiling of cancer

Kallioniemi, O.-P.·2001·Human Molecular Genetics

Abstract

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.

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Metadata

Authors
Kallioniemi, O.-P.
Venue
Human Molecular Genetics
Published
2001-04-01
Volume
10
Issue
7
Pages
657-662
ISSN
  • 0964-6906 (ISSN-L)
  • 1460-2083
OpenAlex
W2168203442
Cited by
563
References
0
FWCI
12.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tissue microarray technology for high-throughput molecular profiling of cancer. https://app.cochat.ai/papers/10.1093/hmg/10.7.657
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Kallioniemi, O.-P. (2001). Tissue microarray technology for high-throughput molecular profiling of cancer. Human Molecular Genetics. https://doi.org/10.1093/hmg/10.7.657

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