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치매환자에서 transposable elements에 의한 유전자 발현조절의 생물정보 분석

Bioinformatics Analysis of Gene Expression Regulation by Transposable Elements in Dementia Patients

  • 김대수 (부산대학교 자연과학대학 생물정보학협동과정) ;
  • 허재원 (부산대학교 자연과학대학 생명과학부) ;
  • 하홍석 (부산대학교 자연과학대학 생명과학부) ;
  • 김태홍 (부산대학교 자연과학대학 생명과학부) ;
  • 조운종 (부산대학교 자연과학대학 생물정보학협동과정) ;
  • 김희수 (부산대학교 자연과학대학 생물정보학협동과정)
  • Kim, Dae-Soo (PBBRC, Interdisciplinary Research Program of Bioinformatics, College of Natural Sciences, Pusan National University) ;
  • Huh, Jae-Won (Division of Biological Sciences, College of Natural Sciences, Pusan National University) ;
  • Ha, Hong-Seok (Division of Biological Sciences, College of Natural Sciences, Pusan National University) ;
  • Kim, Tae-Hong (Division of Biological Sciences, College of Natural Sciences, Pusan National University) ;
  • Jo, Un-Jong (PBBRC, Interdisciplinary Research Program of Bioinformatics, College of Natural Sciences, Pusan National University) ;
  • Kim, Heui-Soo (PBBRC, Interdisciplinary Research Program of Bioinformatics, College of Natural Sciences, Pusan National University)
  • 발행 : 2006.12.01

초록

노년에 나타나는 정신병적 증상의 가장 흔한 원인 질환으로 만성적이고 서서히 악화되는 진행성이면, 기억력, 사고력, 학습능력 및 판단력 등의 손상을 포함한 인지기능의 장애이다. 고령화 사회가 도래하면서 노인성 치매환자가 매년 급격히 늘고 있으며 매년 수만 명이 노인성치매에 걸려 본인뿐 아니라 가족까지도 많은 고통에 시달리고 있다. 특히 노인성 치매의 경우는 환자 본인의 문제가 아니라 젊은 노동력을 환자의 보호자로 필요함으로 국가적 노동력의 손실로 이어지고 있다. 현재 연구에서 우리는 노인성 치매와 transposable elements와의 상호관계를 밝히기 위하여 공개된 유전자 데이터베이스에서 EST (expressed sequence tags)를 이용하여 생물정보학적 인 분석방법과 프로그램을 이용하여 치매의 원인으로 추정되는 후보유전자들을 찾아내었다. 이러한 분석을 통하여 치매환자에서 transposable elements의 발현으로 인해 유전자의 발현에 변화를 가지는 98개의 후보 유전자를 찾아내었다. 노인성질환인 치매와 transposable elements의 분석방법을 이용하면 치매의 원인을 규명하는데 많은 도움이 될 것이다.

Dementia is a progressive disease of increasing the dysfunction of intellectual and physical ability. In the aging society, many families are suffering from the caring the patients who are diagnosed with dementia. However, dementia is a complex disease affected by the genetic and environmental agents. In the present study, we investigated the transposable elements in relation to dementia. From the analysis of dementia EST (expressed sequence tag) sequences, we found dementia candidate genes, and analyzed expression profiles and repeat elements using bioinformatics tools. This analysis showed that 98 genes were affected in their mRNA sequences by transposable elements expression. Their expressions were affected by the integration of different transposable elements (SINE, LINE, LTR, DNA) during the primate evolution. We believe that our work will be of significant interest to genome scientists, and may help them gain insight into implication of transposable elements expression in dementia.

키워드

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