Literature DB >> 27002337

Development and Evaluation of a Parallel Reaction Monitoring Strategy for Large-Scale Targeted Metabolomics Quantification.

Juntuo Zhou1, Huiying Liu1, Yang Liu1, Jia Liu1, Xuyang Zhao1, Yuxin Yin1.   

Abstract

Recent advances in mass spectrometers which have yielded higher resolution and faster scanning speeds have expanded their application in metabolomics of diverse diseases. Using a quadrupole-Orbitrap LC-MS system, we developed an efficient large-scale quantitative method targeting 237 metabolites involved in various metabolic pathways using scheduled, parallel reaction monitoring (PRM). We assessed the dynamic range, linearity, reproducibility, and system suitability of the PRM assay by measuring concentration curves, biological samples, and clinical serum samples. The quantification performances of PRM and MS1-based assays in Q-Exactive were compared, and the MRM assay in QTRAP 6500 was also compared. The PRM assay monitoring 237 polar metabolites showed greater reproducibility and quantitative accuracy than MS1-based quantification and also showed greater flexibility in postacquisition assay refinement than the MRM assay in QTRAP 6500. We present a workflow for convenient PRM data processing using Skyline software which is free of charge. In this study we have established a reliable PRM methodology on a quadrupole-Orbitrap platform for evaluation of large-scale targeted metabolomics, which provides a new choice for basic and clinical metabolomics study.

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Year:  2016        PMID: 27002337     DOI: 10.1021/acs.analchem.6b00355

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  26 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.  2016 ASMS Workshop Review: Next Generation LC/MS: Critical Insights and Future Perspectives.

Authors:  Hongying Gao; Alexander Makarov; Richard D Smith
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3.  High-Throughput Targeted Quantitative Analysis of the Interaction between HSP90 and Kinases.

Authors:  Weili Miao; Lin Li; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-09-04       Impact factor: 6.986

4.  High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis.

Authors:  Zhixiang Yan; Ting Li; Bin Wei; Panpan Wang; Jianbo Wan; Yitao Wang; Ru Yan
Journal:  Metabolomics       Date:  2019-04-30       Impact factor: 4.290

Review 5.  Promises and pitfalls of untargeted metabolomics.

Authors:  Ilya Gertsman; Bruce A Barshop
Journal:  J Inherit Metab Dis       Date:  2018-03-13       Impact factor: 4.982

6.  A Targeted Proteomic Approach for Heat Shock Proteins Reveals DNAJB4 as a Suppressor for Melanoma Metastasis.

Authors:  Weili Miao; Lin Li; Yinsheng Wang
Journal:  Anal Chem       Date:  2018-05-11       Impact factor: 6.986

Review 7.  Computational Metabolomics: A Framework for the Million Metabolome.

Authors:  Karan Uppal; Douglas I Walker; Ken Liu; Shuzhao Li; Young-Mi Go; Dean P Jones
Journal:  Chem Res Toxicol       Date:  2016-10-12       Impact factor: 3.739

8.  Identification of Helicase Proteins as Clients for HSP90.

Authors:  Weili Miao; Lin Li; Yinsheng Wang
Journal:  Anal Chem       Date:  2018-09-26       Impact factor: 6.986

Review 9.  Measurement of metabolic fluxes using stable isotope tracers in whole animals and human patients.

Authors:  Julie A Reisz; Angelo D'Alessandro
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2017-09       Impact factor: 4.294

10.  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

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