Next generation tools for the annotation of metabolites in global LC-MS metabolomic studies

全球 LC-MS 代谢组学研究中代谢物注释的下一代工具

• 批准号: BB/N023013/1
• 负责人: Warwick Dunn
• 金额: $ 11.64万
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FN023013%2F1
• 关键词: Next; generation; tools; annotation; metabolites

The metabolism of a living organism reacts rapidly and sensitively to environmental change, disease conditions or simply the organism's age. Capturing how metabolism and metabolites change provides an exquisite insight into the health status of an individual. The discipline of metabolomics seeks to describe the entire population of metabolites in a cell or tissue. Its key challenge is to identify sometimes thousands of different molecules simultaneously. With its unmatched precision and sensitivity, mass spectrometry has become the tool of choice in this context. However, this technique requires ionized metabolites, so they can be accelerated and analysed in an electro-magnetic field. While ionization techniques are well established, the diversity of charged molecular species generated in this process is poorly understood. As a result, many metabolites are not identified and only a fraction of the data a mass spectrometric experiment provides really informs the biological conclusions. For the first time we have enough assets in our toolbox to assemble and optimise into a new workflow; this is the TOOL we will construct, validate and apply to generate a new computational RESOURCE for the metabolomics community, a publicly accessible computational software for performing metabolite annotation and calculating the statistical probability that the identification is correct. We will make this available via the BBSRC-funded MetaboLights database to be supported long-term at the European Bioinformatics Institute in the UK. The new resource will be widely used, both nationally and internationally, by academic, government and industry scientists. All data will be free to access, training videos will be included and the resource will be widely publicised. This cost effective proposal will collectively develop a new TOOL and new RESOURCE, and by embedding it at the European Bioinformatics Institute will transform the metabolomics community's ability to transform data to new knowledge, allowing metabolomics to deliver on its promises to achieve impact.

生物体的新陈代谢对环境变化、疾病状况或仅仅是生物体的年龄反应迅速而敏感。捕捉新陈代谢和代谢物的变化提供了一个精致的洞察个人的健康状况。代谢组学旨在描述细胞或组织中的整个代谢物群体。它的关键挑战是同时识别有时数千种不同的分子。凭借其无与伦比的精确度和灵敏度，质谱法已成为这方面的首选工具。然而，这项技术需要电离的代谢物，因此可以在电磁场中加速和分析它们。虽然离子化技术已经很好地建立，但在此过程中产生的带电分子物种的多样性却知之甚少。因此，许多代谢物没有被识别，只有一小部分质谱实验提供的数据真正为生物学结论提供了信息。我们的工具箱中首次拥有足够的资产来组装和优化新的工作流程;这是我们将构建、验证和应用的工具，为代谢组学社区生成新的计算资源，这是一种可公开访问的计算软件，用于执行代谢物注释并计算识别正确的统计概率。我们将通过BBSRC资助的MetaboLights数据库提供这一数据，并在英国的欧洲生物信息学研究所得到长期支持。新的资源将被学术界、政府和工业界的科学家在国内和国际上广泛使用。所有数据都将免费访问，培训视频将被包括在内，资源将被广泛宣传。这一具有成本效益的提案将共同开发一种新的工具和新的资源，并通过将其嵌入欧洲生物信息学研究所，将改变代谢组学社区将数据转化为新知识的能力，使代谢组学能够实现其承诺，以实现影响。

项目成果

Computational tools and workflows in metabolomics: An international survey highlights the opportunity for harmonisation through Galaxy.

• DOI: 10.1007/s11306-016-1147-x
• 发表时间: 2017
• 期刊: METABOLOMICS
• 影响因子: 3.6
• 作者: Weber, Ralf J. M.;Lawson, Thomas N.;Salek, Reza M.;Ebbels, Timothy M. D.;Glen, Robert C.;Goodacre, Royston;Griffin, Julian L.;Haug, Kenneth;Koulman, Albert;Moreno, Pablo;Ralser, Markus;Steinbeck, Christoph;Dunn, Warwick B.;Viant, Mark R.
• 通讯作者: Viant, Mark R.

Modelling non-alcoholic fatty liver disease in human hepatocyte-like cells.

• DOI: 10.1098/rstb.2017.0362
• 发表时间: 2018-07-05
• 期刊: Philosophical transactions of the Royal Society of London. Series B, Biological sciences
• 作者: Lyall MJ;Cartier J;Thomson JP;Cameron K;Meseguer-Ripolles J;O'Duibhir E;Szkolnicka D;Villarin BL;Wang Y;Blanco GR;Dunn WB;Meehan RR;Hay DC;Drake AJ
• 通讯作者: Drake AJ

How close are we to complete annotation of metabolomes?

• DOI: 10.1016/j.cbpa.2017.01.001
• 发表时间: 2017-02
• 期刊: Current opinion in chemical biology
• 影响因子: 7.8
• 作者: Viant MR;Kurland IJ;Jones MR;Dunn WB
• 通讯作者: Dunn WB