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题名: Urinary profiling investigation of metabollites with cis-diol structure from cancer patients based on UPLC-MS and HPLC-MS as well as multivariate statistical analysis
作者: Zhao, Xinjie;  Wang, Wenzhao;  Wang, Jiangshan;  Yang, Jun;  Xu, Guowang
关键词: biomarkers ;  metabolic profiling ;  metabonomics ;  nucleosides ;  UPLC-TOF MS
刊名: JOURNAL OF SEPARATION SCIENCE
发表日期: 2006-11-01
DOI: 10.1002/jssc.200600157
卷: 29, 期:16, 页:2444-2451
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
英文摘要: Nucleosides are an important class of metabolites and have been investigated as potential tumor biomarkers. A method based on ultra performance liquid chromatography (UPLC)-TOF MS was developed to analyze urinary nucleosides and other metabolites with cis-diol structure to distinguish between cancer patients and healthy persons and compare the results with those obtained by HPLC. The data showed that the UPLC method used about one third of the time required by HPLC and achieved a much better chromatographic resolution and increased sensitivity, the number of peaks detected by UV being 79 and 94 for HPLC and UPLC, respectively. With UPLC-TOF MS, more information was obtained about metabolites, the separation of cancer patients from healthy persons was significantly improved, and more potential biomarkers were found. The method based on UPLC-TOF MS is a powerful technique for the study of metabolite profiles.
关键词[WOS]: PERFORMANCE LIQUID-CHROMATOGRAPHY ;  TOF MASS-SPECTROMETRY ;  MODIFIED NUCLEOSIDES ;  CAPILLARY-ELECTROPHORESIS ;  METABONOMICS ;  HEPATITIS ;  TOXICITY ;  GENDER ;  TOOL
语种: 英语
WOS记录号: WOS:000242242300005
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/140304
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Chinese Acad Sci, Dalian Inst Chem Phys, Natl Chromatog R&A Ctr, Dalian 116023, Liaoning, Peoples R China

Recommended Citation:
Zhao, Xinjie,Wang, Wenzhao,Wang, Jiangshan,et al. Urinary profiling investigation of metabollites with cis-diol structure from cancer patients based on UPLC-MS and HPLC-MS as well as multivariate statistical analysis[J]. JOURNAL OF SEPARATION SCIENCE,2006,29(16):2444-2451.
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