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Portal for Open Computational Metabolomics Tools - Yr 4 U2C Supplement

Portal for Open Computational Metabolomics Tools - Yr 4 U2C Supplement
开放计算代谢组学工具门户 - 第四年 U2C 补充材料
批准号:
10397265
负责人:
ARTHUR S EDISON
金额:
$19.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-06-30

项目摘要

项目成果

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中文摘要
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Overall: Our project combines the significant advantages of a genetic model organism, sophisticated pathway mapping tools, high-throughput and accurate quantum chemistry (QM), and state-of-the-art experimental measurements. The result will be an efficient and cost-effective approach for unknown compound identification in metabolomics, which is one of the major limitations facing this growing field of medical science. Caenorhabditis elegans has several advantages for this study, including over 10,000 available genetic mutants, well-developed CRISPR/Cas9 technology, and a panel of over 500 wild C. elegans isolates with complete genomes. Half of C. elegans genes have homologs to human disease genes, making this model organism an outstanding choice to improve our understanding of metabolic pathways in human disease. We will develop an automated pipeline for sample preparation to reproducibly measure tens of thousands of unknown features by UHPLC-MS/MS. We will use the wild isolates to conduct metabolome-wide genetic association studies (m-GWAS), and SEM-path to locate unknowns in pathways using partial correlations. The relevance of the unknown metabolites to specific pathways will be tested by measuring UHPLC-MS/MS data from genetic mutants of those pathways. Molecular formula and pathway information will be the inputs for automated quantum mechanical calculations of all possible structures, which will be used to accurately calculate NMR chemical shifts that will be matched to experimental data. The correct structures will be validated by comparing them with 2D NMR data of the same compound. The validated computed structures will then be used to improve QM-based MS/MS fragment prediction, using the experimental UHPLC-MS/MS data. This project will enhance many areas of science beyond worms and model organisms. First, C. elegans is the simplest animal model available with significant homology to other animals and humans. The discoveries we make in metabolic pathways will have a direct impact on studies of several human diseases. Second, our approach is highly transferable to other genetic systems and with little modification can be applied to many other applications. Perhaps most important is the relevance to large-scale human precision medicine studies. The wild C. elegans isolates are “individuals” with diverse genomes that are a model for natural populations such as humans. It is true that we are using mutant animals that would not be available in a human precision medicine study, but the mutants are used primarily to validate pathways that are constructed entirely by wild isolate data. Once the approaches are fully developed and validated, the mutants will not be necessary. C. elegans and other genetic model organisms were instrumental in the development of modern genomics and DNA sequencing technologies. Our premise is that the worm will have a comparable impact in metabolomics.
期刊论文(16)
专著(0)
科研奖励(0)
会议论文
Culture and Assay of Large-Scale Mixed-Stage Caenorhabditis elegans Populations.
大规模混合阶段秀丽隐杆线虫种群的培养和测定。
DOI: 10.3791/61453
发表时间: 2021
期刊: Journal of visualized experiments : JoVE
影响因子: --
作者: [Shaver,AmandaO, Gouveia,GoncaloJ, Kirby,PamelaS, Andersen,ErikC, Edison,ArthurS]
通讯作者: Edison,ArthurS
DOI: 10.1021/acs.analchem.0c00768
发表时间: 2020-08-04
期刊: Analytical chemistry
影响因子: 7.4
作者: [Das S, Edison AS, Merz KM Jr]
通讯作者: Merz KM Jr
Correlations Between LC-MS/MS-Detected Glycomics and NMR-Detected Metabolomics in Caenorhabditis elegans Development.
秀丽隐杆线虫发育中 LC-MS/MS 检测的糖组学和 NMR 检测的代谢组学之间的相关性。
DOI: 10.3389/fmolb.2019.00049
发表时间: 2019
期刊: Frontiers in molecular biosciences
影响因子: 5
作者: [Sheikh,MOsman, Tayyari,Fariba, Zhang,Sicong, Judge,MichaelT, Weatherly,DBrent, Ponce,FrancescaV, Wells,Lance, Edison,ArthurS]
通讯作者: Edison,ArthurS
DOI: 10.1021/jacs.1c05908
发表时间: 2021-09-15
期刊: Journal of the American Chemical Society
影响因子: 15
作者: [Wrobel CJJ, Yu J, Rodrigues PR, Ludewig AH, Curtis BJ, Cohen SM, Fox BW, O'Donnell MP, Sternberg PW, Schroeder FC]
通讯作者: Schroeder FC
9
    Platform for in vivo Metabolism
    • 批准号:
      10552310
    • 项目类别:
    • 资助金额:
      $55.08万
    • 财政年份:
      2023
    • 负责人:
      ARTHUR S EDISON
    • 依托单位:
    Admin-Core
    • 批准号:
      10254710
    • 项目类别:
    • 资助金额:
      $4.0万
    • 财政年份:
      2018
    • 负责人:
      ARTHUR S EDISON
    • 依托单位:
    Genetics and quantum chemistry as tools for unknown metabolite identification
    • 批准号:
      10180966
    • 项目类别:
    • 资助金额:
      $85.58万
    • 财政年份:
      2018
    • 负责人:
      ARTHUR S EDISON
    • 依托单位:
    Genetics and quantum chemistry as tools for unknown metabolite identification
    • 批准号:
      9767153
    • 项目类别:
    • 资助金额:
      $85.46万
    • 财政年份:
      2018
    • 负责人:
      ARTHUR S EDISON
    • 依托单位:
    海外基金