| Literature DB >> 27260449 |
Haiping Tang1, Xueying Wang2, Lina Xu2, Xiaorong Ran3, Xiangjun Li3, Ligong Chen4, Xinbin Zhao4, Haiteng Deng5, Xiaohui Liu6.
Abstract
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.Keywords: ID-based metabolomics analysis; In-house endogenous databases; LC-MS/MS; Orbitrap
Year: 2016 PMID: 27260449 DOI: 10.1016/j.talanta.2016.04.051
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057