Tissue microarrays: applications in genomic research

被引:32
作者
Watanabe, A
Cornelison, R
Hostetter, G
机构
[1] Translat Genomics Res Inst, TMA Core Serv, Phoenix, AZ 85004 USA
[2] George Washington Univ, Inst Biomed Sci, Mol & Cellular Oncol Program, Washington, DC 20037 USA
[3] NHGRI, NIH, Canc Genet Branch, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
high-throughput; IHC; ISH; standardization; TMA;
D O I
10.1586/14737159.5.2.171
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
The widespread application of tissue microarrays in cancer research and the clinical pathology laboratory demonstrates a versatile and portable technology. The rapid integration of tissue microarrays into biomarker discovery and validation processes reflects the forward thinking of researchers who have pioneered the high-density tissue microarray. The precise arrangement of hundreds of archival clinical tissue samples into a composite tissue microarray block is now a proven method for the efficient and standardized analysis of molecular markers. With applications in cancer research, tissue microarrays are a valuable tool in validating candidate markers discovered in highly sensitive genome-wide microarray experiments. With applications in clinical pathology, tissue microarrays; are used widely in immunohistochemistry quality control and quality assurance. The timeline of a biomarker implicated in prostate neoplasia, which was identified by complementary DNA expression profiling, validated by tissue microarrays; and is now used as a prognostic immunohistochemistry marker, is reviewed. The tissue microarray format provides opportunities for digital imaging acquisition, image processing and database integration. Advances in digital imaging help to alleviate previous bottlenecks in the research pipeline, permit computer image scoring and convey telepathology opportunities for remote image analysis. The tissue microarray industry now includes public and private sectors with varying degrees of research utility and offers a range of potential tissue microarray applications in basic research, prognostic oncology and drug discovery.
引用
收藏
页码:171 / 181
页数:11
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