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创建植物代谢物光谱库用于非靶向和靶向代谢组学。

Creation of a Plant Metabolite Spectral Library for Untargeted and Targeted Metabolomics.

机构信息

College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.

Department of Biology, Genetics Institute, University of Florida, Gainesville, FL 32611, USA.

出版信息

Int J Mol Sci. 2023 Jan 23;24(3):2249. doi: 10.3390/ijms24032249.

Abstract

Large-scale high throughput metabolomic technologies are indispensable components of systems biology in terms of discovering and defining the metabolite parts of the system. However, the lack of a plant metabolite spectral library limits the metabolite identification of plant metabolomic studies. Here, we have created a plant metabolite spectral library using 544 authentic standards, which increased the efficiency of identification for untargeted metabolomic studies. The process of creating the spectral library was described, and the mzVault library was deposited in the public repository for free download. Furthermore, based on the spectral library, we describe a process of creating a pseudo-targeted method, which was applied to a proof-of-concept study of Arabidopsis leaf extracts. As authentic standards become available, more metabolite spectra can be easily incorporated into the spectral library to improve the mzVault package.

摘要

大规模高通量代谢组学技术在发现和定义系统的代谢物部分方面是系统生物学不可或缺的组成部分。然而,缺乏植物代谢物光谱库限制了植物代谢组学研究中的代谢物鉴定。在这里,我们使用 544 个真实标准品创建了一个植物代谢物光谱库,这提高了非靶向代谢组学研究中鉴定的效率。描述了创建光谱库的过程,并将 mzVault 库存入公共存储库供免费下载。此外,基于该光谱库,我们描述了一种创建伪靶向方法的过程,该方法已应用于拟南芥叶片提取物的概念验证研究。随着真实标准品的出现,可以将更多的代谢物光谱轻松地纳入光谱库,以改进 mzVault 软件包。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b17/9916794/3855b4d69078/ijms-24-02249-g001.jpg

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