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学科主题: 物理化学
题名: Biomarker discovery and identification in chromatography-MSn-based Metabonomics
作者: Xu GW(许国旺) ;  Zhao XJ(赵欣捷) ;  Yin PY(尹沛源) ;  Wang Y(王媛) ;  Chen J(陈静) ;  Lu X(路鑫)
会议名称: Dalian International Symposia and Exhibition on Chromatography
会议日期: 2007-6-4
出版日期: 2007-06-04
会议地点: 中国
通讯作者: 许国旺
ISSN: 978-7-122-00450-5
部门归属: 十八室
主办者: CAS等
摘要: Metabonomics is a very useful to find new biomarkers. For the high sensitivity and resolution, chromatography-MS-based platforms are preferred to analyze the bio-fluid samples: serum, and urine in metabonomics. The raw data obtained from GC/MS or HPLC/MS always comprise the three-dimensional information of the metabolites: retention times, mass-charge-ratio (m/z), and peak intensities. In order to get more useful information for finding potential biomarkers, chemometrics and other multivariate data analysis methods are necessary. The biomarker discovery and unknown identification are typical scientific problems to be covered. In our study, a comprehensive metabonomics analytical method is developed including capillary GC/MS, GCxGC-TOF MS, various HPLC and Superbaric HPLC-MSn. A systemic strategy for the identification of potential biomarkers has also developed including finding the quasi-molecular ions, determining accuracy molecular weight, making use of the information of the fragmentation patterns, searching the database on internet, such as the Pub Compound and KEGG., and standard samples confirmation. For ‘difficult to identify biomarker’, micro-preparation of fraction, derivatived GC-MS and information-dependent data acquiring technique in MSn have to be applied, in the meantime, gas chromatographic retention index is made use to distinguish the metabolite isomers.
语种: 中文
内容类型: 会议论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/112538
Appears in Collections:中国科学院大连化学物理研究所_会议论文

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Recommended Citation:
Xu GW,Zhao XJ,Yin PY,et al. Biomarker discovery and identification in chromatography-MSn-based Metabonomics[C]. 见:Dalian International Symposia and Exhibition on Chromatography. 中国. 2007-6-4.
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