Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Integrated Model Design of Microarray Data Using miRNA, PPI, Disease Information

miRNA, PPI, 질병 정보를 이용한 마이크로어레이 데이터 통합 모델 설계

  • Ha, Kyung-Sik (Biomedical Knowledge Engineering Laboratory, Seoul National University) ;
  • Lim, Jin-Muk (Biomedical Knowledge Engineering Laboratory, Seoul National University) ;
  • Kim, Hong-Gee (Biomedical Knowledge Engineering Laboratory, Seoul National University)
  • 하경식 (서울대학교 의생명지식공학연구실) ;
  • 임진묵 (서울대학교 의생명지식공학연구실) ;
  • 김홍기 (서울대학교 의생명지식공학연구실)
  • Received : 2012.10.10
  • Accepted : 2012.11.28
  • Published : 2012.12.25
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Abstract

A microarray is a collection of thousands of DNAs or RNAs arranged on a substrate, and it enables one to navigate large amounts of gene expression. However, a researcher uses his designed experimental methods to focus on particular phenotypes from the available mass of data. In this paper, we used MicroRNAs(miRNAs) and Protein-Protein Interation(PPI) databases to enhance and expand meanings in microarray data. Further, the expanded data are linked with the Online Mendelian Inheritance in Man(OMIM), and International Statistical Classification of Diseases and Related Health Problems, $10^{th}$ Revision(ICD-10), in order to extract common genetic relationships between diseases. This approach, we expect, should provide new biological views.

마이크로어레이는 수만 가지 이상의 DNA 또는 RNA를 기판위에 배열해 놓은 것이며 이 기술을 이용하여 대량의 유전자 발현을 탐색할 수 있게 되었다. 그렇지만 마이크로어레이는 실험자가 탐색하려는 특정 표현형에 대해서 설계된 실험방법을 이용하므로 제한된 숫자의 유전자 발현만을 관찰할 수 있다. 본 논문에서는 MicroRNAs(miRNAs)와 Protein-Protein Interaction(PPI) 정보를 포함하고 있는 데이터베이스를 활용하여 마이크로어레이 데이터의 의미적 확장 방법을 제시하고자 한다. 또한 Online Mendelian Inheritance in Man(OMIM) 및 International Statistical Classification of Diseases and Related Health Problems, $10^{th}$ Revision(ICD-10)을 이용하여 질병 간 유전적 공통점 파악을 시도하였다. 이러한 접근방법을 통하여 새로운 생물학적 시각을 제공할 수 있을 것으로 기대된다.

Keywords

Acknowledgement

Supported by : 정보통신산업진흥원

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