암 유전체 연구를 위한 DNA microarray, Array CGH, Tissue Microarray의 통합 데이터 모델 개발

Hye Won Lee1), Yu Rang Park1), Jung Hoon Woo1), Ju Han Kim*1)

1)서울대학교 의과대학 생명의료정보학 연구실

Abstract : Cancer genomics studies using DNA microarray have been increased the utility of gene expression profiles to classify tumors into clinically relevant subtypes and predict prognosis of patients. Tissue Microarray (TMA) and array Comparative Genomics Hybridization (arrayCGH) technologies are used for identifying molecular markers from population-based analysis and analyzing genomic structure, respectively. Integration of clinical information and various biological data such as DNA microarray, arrayCGH, and TMA data is helpful to understand underlying biological nature of cancers. While Microarray Gene Expression Object Model (MAGE-OM), a standard for DNA microarray data supports representation of arrayCGH data, it couldn't fully represent clinical information and TMA data. We develop a data mode lto represent clinical information as well as experimental data from DNA microarray, arrayCGH and TMA experiments by referring diverse external resources and standards such as Common Data Elements by National Cancer Institute (NCI CDE) and MAGE-OM. Our model provides a comprehensive data model for storage, analysis and exchange of TMA data and will be helpful to develop integrative systems.
keyword : data model, cancer genomics research, integration, DNA microarray, arrayCGH, tissue microarray

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