Literature DB >> 27722450

Strategies for large-scale targeted metabolomics quantification by liquid chromatography-mass spectrometry.

Juntuo Zhou1, Yuxin Yin1.   

Abstract

Advances in liquid chromatography-mass spectrometry (LC-MS) instruments and analytical strategies have brought about great progress in targeted metabolomics analysis. This methodology is now capable of performing precise targeted measurement of dozens or hundreds of metabolites in complex biological samples. Classic targeted quantification assay using the multiple reaction monitoring (MRM) mode has been the foundation of high-quality metabolite quantitation. However, utilization of this strategy in biological studies has been limited by its relatively low metabolite coverage and throughput capacity. A number of methods for large-scale targeted metabolomics assay which have been developed overcome these limitations. These strategies have enabled extended metabolite coverage which is defined as targeting of large numbers of metabolites, while maintaining reliable quantification performance. These recently developed techniques thus bridge the gap between traditional targeted metabolite quantification and untargeted metabolomics profiling, and have proven to be powerful tools for metabolomics study. Although the LC-MRM-MS strategy has been used widely in large-scale metabolomics quantification analysis due to its fast scan speed and ideal analytic stability, there are still drawbacks which are due to the low resolution of the triple quadrupole instruments used for MRM assays. New approaches have been developed to expand the options for large-scale targeted metabolomics study, using high-resolution instruments such as parallel reaction monitoring (PRM). MRM and PRM-based techniques are now attractive strategies for quantitative metabolomics analysis and high-throughput biomarker discovery. Here we provide an overview of the major developments in LC-MS-based strategies for large-scale targeted metabolomics quantification in biological samples. The advantages of LC-MRM/PRM-MS based analytical strategies which may be used in multiplexed and high throughput quantitation for a wide range of metabolites are highlighted. In particular, PRM and MRM strategies are compared, and we summarize the work flow commonly used for large-scale targeted metabolomics analysis including sample preparation, LC separation and data analysis, as well as recent applications in biological studies.

Mesh:

Year:  2016        PMID: 27722450     DOI: 10.1039/c6an01753c

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  38 in total

1.  Comprehensive metabolomic and proteomic analyses reveal candidate biomarkers and related metabolic networks in atrial fibrillation.

Authors:  Juntuo Zhou; Lijie Sun; Liwen Chen; Shuwang Liu; Lijun Zhong; Ming Cui
Journal:  Metabolomics       Date:  2019-06-21       Impact factor: 4.290

2.  Optimization of the Data Treatment Steps of a Non-targeted LC-MS-Based Workflow for the Identification of Trace Chemical Residues in Honey.

Authors:  Annie von Eyken; Stéphane Bayen
Journal:  J Am Soc Mass Spectrom       Date:  2019-03-14       Impact factor: 3.109

3.  Relying on biomarkers for intake assessment in nutrition.

Authors:  Lars Ove Dragsted
Journal:  Am J Clin Nutr       Date:  2016-12-21       Impact factor: 7.045

4.  Application of a proton quantitative nuclear magnetic resonance spectroscopy method for the determination of actinodaphnine in Illigera aromatica and Illigera henryi.

Authors:  Jian-Wei Dong; Xue-Jiao Li; Jun-You Shi; Kai-Quan Liu
Journal:  J Nat Med       Date:  2018-11-09       Impact factor: 2.343

5.  Metabolomics identifies serum and exosomes metabolite markers of pancreatic cancer.

Authors:  Lianyuan Tao; Juntuo Zhou; Chunhui Yuan; Lingfu Zhang; Deyu Li; Dandan Si; Dianrong Xiu; Lijun Zhong
Journal:  Metabolomics       Date:  2019-05-30       Impact factor: 4.290

6.  Widely-targeted quantitative lipidomics method by supercritical fluid chromatography triple quadrupole mass spectrometry.

Authors:  Hiroaki Takeda; Yoshihiro Izumi; Masatomo Takahashi; Thanai Paxton; Shohei Tamura; Tomonari Koike; Ying Yu; Noriko Kato; Katsutoshi Nagase; Masashi Shiomi; Takeshi Bamba
Journal:  J Lipid Res       Date:  2018-05-03       Impact factor: 5.922

7.  Staring into the void: demystifying microbial metabolomics.

Authors:  Cynthia M Grim; Gordon T Luu; Laura M Sanchez
Journal:  FEMS Microbiol Lett       Date:  2019-06-01       Impact factor: 2.742

Review 8.  Unraveling mosquito metabolism with mass spectrometry-based metabolomics.

Authors:  Thomas D Horvath; Shai Dagan; Patricia Y Scaraffia
Journal:  Trends Parasitol       Date:  2021-04-22

Review 9.  Single cell metabolomics using mass spectrometry: Techniques and data analysis.

Authors:  Renmeng Liu; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2020-11-25       Impact factor: 6.558

10.  Effects of Dufulin on Oxidative Stress and Metabolomic Profile of Tubifex.

Authors:  Yile Yu; Yuxin Zhu; Jing Yang; Wentao Zhu; Zhiqiang Zhou; Renke Zhang
Journal:  Metabolites       Date:  2021-06-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.