Interdisciplinary Bio Central
Etc. (Bioinformatics/Computational biology/Molecular modeling)

Tissue Microarrays in Biomedical Research
Joon-Yong Chung1,3, Nari Kim1, Hyun Joo1, Jae Boum Youm1, Won Sun Park1, Sang-Kyoung Lee1,2, Mohamad Warda1 and Jin Han1,*
1Mitochondrial Signaling Laboratory, Department of Physiology and Biophysics, College of Medicine, Cardiovascular and Metabolic Disease Center, Biohealth Products Research Center
2Psychiatry, College of Medicine, Inje University, Busan 614-735, Korea
3Tissue Array Research Program, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892-4605 USA
*Corresponding author
  Published : February 28, 2006
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Recent studies in molecular biology and proteomics have identified a significant number of novel diagnostic, prognostic, and therapeutic disease markers. However, validation of these markers in clinical specimens with traditional histopathological techniques involves low throughput and is time consuming and labor intensive. Tissue microarrays (TMAs) offer a means of combining tens to hundreds of specimens of tissue onto a single slide for simultaneous analysis. This capability is particularly pertinent in the field of cancer for target verification of data obtained from cDNA microarrays and protein expression profiling of tissues, as well as in epidemiology-based investigations using histochemical/immunohistochemical staining or in situ hybridization. In combination with automated image analysis, TMA technology can be used in the global cellular network analysis of tissues. In particular, this potential has generated much excitement in cardiovascular disease research. The following review discusses recent advances in the construction and application of TMAs and the opportunity for developing novel, highly sensitive diagnostic tools for the early detection of cardiovascular disease.

Keyword: Tissue microarrays, high-throughput tool, diagnostic tools, cardiovascular disease, translational medicine
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