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Updated: Jul 3, 2026

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A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies
Published on: September 23, 2014
TRARESA: a tissue microarray-based hospital system for biomarker validation and discovery.
Kakoli Das1, Mohd Feroz Mohd Omar, Chee Wee Ong
1Department of Pathology, National University Hospital, Singapore.
Pathology
|July 8, 2008
Summary
Formalin fixed and paraffin embedded (FFPE) tissue collections enable retrospective studies. The Translational Research Arrays (TRARESA) framework integrates multi-omic analysis of FFPE samples for biomarker discovery and validation.
Area of Science:
- Biomedical research
- Pathology
- Translational science
Background:
- Formalin-fixed paraffin-embedded (FFPE) tissue collections are vast resources for retrospective studies.
- Existing FFPE archives are underutilized for integrated molecular and clinical data analysis.
- Biomarker discovery and validation require comprehensive analytical frameworks.
Purpose of the Study:
- To introduce the Translational Research Arrays (TRARESA) conceptual framework.
- To enable integrated analysis of protein, DNA, and RNA from FFPE samples.
- To facilitate biomarker validation, discovery, and hypothesis generation in translational research.
Main Methods:
- Literature analysis of FFPE-related research.
- Technical validation of analytical methods.
- Development of a tissue microarray-centered, hospital-based framework (TRARESA).
- Integration of multi-omic (protein, DNA, RNA) analyses with clinical and pathological data.
Main Results:
- TRARESA allows simultaneous analysis of protein, DNA, and RNA from FFPE tissues.
- The framework enables correlation of molecular data with clinical and pathological parameters.
- Demonstration of TRARESA's utility for biomarker confirmation and hypothesis generation.
Conclusions:
- TRARESA enhances the utility of FFPE collections for translational research.
- The framework supports both validation of known biomarkers and discovery of novel ones.
- TRARESA integrates with high-throughput technologies to advance disease mechanism and drug target research.
