中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography-mass spectrometry

文献类型:期刊论文

作者Luo, Ping1; Yin, Peiyuan1; Zhang, Weijian2; Zhou, Lina1; Lu, Xin1; Lin, Xiaohui2; Xu, Guowang1
刊名JOURNAL OF CHROMATOGRAPHY A
出版日期2016-03-11
卷号1437页码:127-136
关键词Pseudotargeted Analysis Metabolomics Metabolic Profiling Lc-ms Quality Control Large-scale
ISSN号0021-9673
DOI10.1016/j.chroma.2016.01.078
文献子类Article
英文摘要Liquid chromatography-mass spectrometry (LC-MS) is now a main stream technique for large-scale metabolic phenotyping to obtain a better understanding of genomic functions. However, repeatability is still an essential issue for the LC-MS based methods, and convincing strategies for long time analysis are urgently required. Our former reported pseudotargeted method which combines nontargeted and targeted analyses, is proved to be a practical approach with high-quality and information-rich data. In this study, we developed a comprehensive strategy based on the pseudotargeted analysis by integrating blank-wash, pooled quality control (QC) sample, and post-calibration for the large-scale metabolomics study. The performance of strategy was optimized from both pre- and post-acquisition sections including the selection of QC samples, insertion frequency of QC samples, and post-calibration methods. These results imply that the pseudotargeted method is rather stable and suitable for large-scale study of metabolic profiling. As a proof of concept, the proposed strategy was applied to the combination of 3 independent batches within a time span of 5 weeks, and generated about 54% of the features with coefficient of variations (CV) below 15%. Moreover, the stability and maximal capability of a single analytical batch could be extended to at least 282 injections (about 110 h) while still providing excellent stability, the CV of 63% metabolic features was less than 15%. Taken together, the improved repeatability of our strategy provides a reliable protocol for large-scale metabolomics studies. (C) 2016 Elsevier B.V. All rights reserved.
WOS关键词GENOME-WIDE ASSOCIATION ; TARGETED METABOLOMICS ; BIOMARKER DISCOVERY ; GAS-CHROMATOGRAPHY ; METABOLITE LEVELS ; HUMAN BLOOD ; HUMAN SERUM ; UPLC-MS ; NORMALIZATION ; PERFORMANCE
WOS研究方向Biochemistry & Molecular Biology ; Chemistry
语种英语
WOS记录号WOS:000371556700014
出版者ELSEVIER SCIENCE BV
源URL[http://cas-ir.dicp.ac.cn/handle/321008/171060]  
专题大连化学物理研究所_中国科学院大连化学物理研究所
通讯作者Xu, Guowang
作者单位1.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian, Peoples R China
推荐引用方式
GB/T 7714
Luo, Ping,Yin, Peiyuan,Zhang, Weijian,et al. Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography-mass spectrometry[J]. JOURNAL OF CHROMATOGRAPHY A,2016,1437:127-136.
APA Luo, Ping.,Yin, Peiyuan.,Zhang, Weijian.,Zhou, Lina.,Lu, Xin.,...&Xu, Guowang.(2016).Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography-mass spectrometry.JOURNAL OF CHROMATOGRAPHY A,1437,127-136.
MLA Luo, Ping,et al."Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography-mass spectrometry".JOURNAL OF CHROMATOGRAPHY A 1437(2016):127-136.

入库方式: OAI收割

来源:大连化学物理研究所

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