期刊
TALANTA
卷 156, 期 -, 页码 163-171出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2016.04.051
关键词
In-house endogenous databases; LC-MS/MS; ID-based metabolomics analysis; Orbitrap
资金
- Metabolomics Facility in Technology Center for Protein Sciences
- National Natural Science Foundation of China [81501776, 31270871]
- Ministry of Science and Technology of People's Republic of China [2014DFG32460, 2014CBA02005, 2014AA020907]
- Global Science Alliance Program of Thermo Fisher Scientific
Our method aims to establish local endogenous metabolite databases economically without purchasing chemical standards, giving strong bases for following orbitrap based high throughput untargeted metabolomics analysis. A new approach here is introduced to construct metabolite databases on the base of biological sample analysis and mathematic extrapolation. Building local metabolite databases traditionally requires expensive chemical standards, which is barely affordable for most research labs. As a result, most labs working on metabolomics analysis have to refer public libraries, which is time consuming and limited for high throughput analysis. Using this strategy, a high throughput orbitrap based metabolomics platform can be established at almost no cost within a couple of months. It enables to facilitate the application of high throughput metabolomics analysis to identify disease-related biomarkers or investigate biological functions using orbitrap. (C) 2016 Elsevier B.V. All rights reserved.
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