DICP OpenIR
Subject Area物理化学
Biomarker discovery and identification in chromatography-MSn-based Metabonomics
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)
Conference NameDalian International Symposia and Exhibition on Chromatography
Conference Date2007-6-4
2007-06-04
Conference Place中国
Pages44/1
ISSN978-7-122-00450-5
Department十八室
Funding OrganizationCAS等
AbstractMetabonomics 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.
Language中文
Document Type会议论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/112538
Collection中国科学院大连化学物理研究所
Corresponding AuthorXu GW(许国旺)
Recommended Citation
GB/T 7714
Xu GW,Zhao XJ,Yin PY,et al. Biomarker discovery and identification in chromatography-MSn-based Metabonomics[C],2007:44/1.
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