• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Development of Isotope Labeling Methods and Data Processing Program for Liquid Chromatography Mass Spectrometry-Based Metabolome Analysis.
【24h】

Development of Isotope Labeling Methods and Data Processing Program for Liquid Chromatography Mass Spectrometry-Based Metabolome Analysis.

机译：基于液相色谱质谱的代谢组学分析的同位素标记方法和数据处理程序的开发。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Metabolomics strives to gain a comprehensive picture of the metabolites in a biological system. This emerging research field gives us an insight into the discovery of disease-related biomarkers and an understanding of metabolic flux as well as mechanisms. Liquid chromatography mass spectrometry (LC-MS) is one of the leading techniques used in metabolomics owing to its high sensitivity and capability for structure elucidation.;The significance of my research work is that the methods developed can be used to analyze the metabolome with high performance, thereby increasing the application capability of metabolomics for disease biomarker discovery and biological functional studies of metabolites in systems biology.;The main objective of my research was to develop improved LC-MS based differential isotopic labeling methods to quantify and identify metabolites in biological samples with enhanced analytical performance. First of all, an improved dansylation labeling protocol was developed for profiling amine- and phenol-containing metabolites, which can be used to more efficiently label multiple samples in metabolome analysis. Secondly, a new triplex DIL reagent: 5-diethylamino-naphthalene-1-sulfonyl chloride (DensCl), was developed to increase the sample throughput by at least two-fold, compared to the duplex dansylation labeling approach. Thirdly, a new type of isotope labeling reagent was synthesized to provide a means of chemical structure analysis based on the MS/MS fragmentation patterns generated from the labeled metabolites. Finally, a data processing software, IsoMS, was developed to quickly extract quantitative information from LC-MS data generated by the isotope labeling method.
机译：代谢组学致力于全面了解生物系统中的代谢物。这个新兴的研究领域使我们对与疾病相关的生物标记物的发现有了深刻的了解，并了解了代谢通量及其机制。液相色谱质谱法（LC-MS）具有很高的灵敏度和结构解析能力，是代谢组学中的主要技术之一。;我的研究工作的意义在于，开发的方法可用于分析高代谢组学。性能，从而提高了代谢组学在疾病生物学标志物发现和系统生物学中代谢物生物学功能研究中的应用能力。；我的主要目的是开发改进的基于LC-MS的差异同位素标记方法，以定量和鉴定生物样品中的代谢物具有增强的分析性能。首先，开发了一种用于对含胺和酚的代谢物进行分析的改进的丹磺酰化标记方案，该方案可用于在代谢组分析中更有效地标记多个样品。其次，开发了一种新型三重DIL试剂：5-二乙基氨基萘-1-磺酰氯（DensCl），与双重丹磺酰化标记方法相比，其样品通量至少增加了两倍。第三，基于由标记代谢物产生的MS / MS碎片图谱，合成了一种新型的同位素标记试剂，以提供化学结构分析的手段。最后，开发了一种数据处理软件IsoMS，以从同位素标记方法生成的LC-MS数据中快速提取定量信息。

著录项

  • 作者

    Zhou, Ruokun.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Analytical chemistry.;Bioinformatics.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号