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  • 03월 02일 17시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제109회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Multi-direct Disease Metabolomics by TOF-SIMS: Gastric Cancer Case

등록일
2012년 2월 16일 15시 50분 52초
접수번호
1113
발표코드
BIO2-2 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
금 10시 : 30분
발표형식
심포지엄
발표분야
생명화학 - Approaches of applied chemistry for translational research
저자 및
공동저자
이태걸
한국표준과학연구원 미래융합기술부, Korea
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) has been a useful tool to profile secondary ions from the near surface region of specimens with its high molecular specificity and submicron spatial resolution. However, the TOF-SIMS analysis of even a moderately large size of samples has been hampered due to the lack of tools for automatically analyzing the huge amount of TOF-SIMS data. Here, we present a computational platform to automatically identify and align peaks, find discriminatory ions, build a classifier, and construct networks describing differential metabolic pathways. To demonstrate the utility of the platform, we analyzed 43 datasets generated from seven gastric cancer and eight normal tissues using TOF-SIMS. A total of 87,138 ions were detected from the 43 datasets by TOF-SIMS. We selected and then aligned 1,286 ions. Among them, we found the 66 ions discriminating gastric cancer tissues from normal ones. Using these 66 ions, we then built a partial least square-discriminant analysis (PLS-DA) model resulting in a misclassification error rate of 0.024. Finally, network analysis of the 66 ions showed disregulation of amino acid metabolism in the gastric cancer tissues. The results show that the proposed framework was effective in analyzing TOF-SIMS data from a moderately large size of samples, resulting in discrimination of gastric cancer tissues from normal tissues and identification of biomarker candidates associated with the amino acid metabolism [1]. [1] Yun SJ, Park JW, Choi IJ, Kang B, Kim HK, Moon DW, Lee TG, Hwang D. TOFSIMS-P: A web-based platform for analysis of large-scale TOF-SIMS data. Anal. Chem., 2011, 83, 9298.

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