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초록문의 abstract@kcsnet.or.kr

결제문의 member@kcsnet.or.kr

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  • 09월 06일 11시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제112회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Application of Metabolomics to High Resolution Phenotype Analysis

등록일
2013년 8월 29일 13시 33분 24초
접수번호
0853
발표코드
ANAL1-4 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
목 10시 : 45분
발표형식
심포지엄
발표분야
분석화학 - KCS-JASIS Joint Symposium: Advanced Separation Science
저자 및
공동저자
Eiichiro Fukuzaki
Osaka University, Japan
※ 국외소속으로 등록된 저자의 승인여부는 최소 3일이내 발표자 email로 알려드립니다.
승인 1건
Metabolomics is applicable without genome sequence information. Therefore, Metabolomics would be powerful analytical tool for commercially available plant and microorganisms. According to the above context, Metabolomics means exhaustive relationship analysis between 'data matrix of metabolic profile' and 'data matrix of performance of samples' Among those operation of Metabolomics, metabolic fingerprinting, in which metabolic profile is used as fingerprint for samples' performance prediction and classification, is one of the most important application of Metabolomics. On this occasion, practical operation of Metabolomics for high resolution phenotype analysis would be presented. To reveal a power of Metabolomics, a possibility of Metabolomics based prediction of "Life span", which is highly integrated and complicated quantitative phenotype, was studied to find strong relationship between metabolome and lifespan by means of PCA. Orthogonal projection on latent structure (OPLS) based model can predict yeast life span using metabolome as fingerprint. Using information of principal component vector in PCA life span related metabolites were nominated and life span related genes were speculated. The result imply Metabolomics would be applicable for high resolution analysis of a complicated quantitative phenotype, and metabolome information might be useful for strategic enhancement of useful quantitative phenotype for biomass production.

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