Cross-Platform Comparison of Methods for Quantitative Metabolomics of Primary Metabolism

被引:233
|
作者
Buescher, Joerg Martin [1 ,2 ]
Czernik, Dominika [1 ,3 ,4 ]
Ewald, Jennifer Christina [1 ,3 ,4 ]
Sauer, Uwe [1 ,4 ]
Zamboni, Nicola [1 ,4 ]
机构
[1] ETH, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland
[2] ETH, Life Sci Zurich Ph D Program Mol Life Sci, CH-8093 Zurich, Switzerland
[3] ETH, Life Sci Zurich Ph D Program Syst Biol Complex Di, CH-8093 Zurich, Switzerland
[4] ETH, Competence Ctr Syst Physiol & Metab Dis, CH-8093 Zurich, Switzerland
关键词
MASS-SPECTROMETRY; MICROBIAL METABOLOMICS; SYSTEMS BIOLOGY; ESI-MS; CHROMATOGRAPHY; ACID; IDENTIFICATION; EXTRACTION; YEAST; RATIO;
D O I
10.1021/ac8022857
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Quantitative metabolomics is under intense development, and no commonly accepted standard analytical technique has emerged, yet. The employed analytical methods were mostly chosen based on educated guesses. So far, there has been no systematic cross-platform comparison of different separation and detection methods for quantitative metabolomics. Generally, the chromatographic separation of metabolites followed by their selective detection in a mass spectrometer (MS) is the most promising approach in terms of sensitivity and separation power. Using a defined mixture of 91 metabolites (coveting glycolysis, pentose phosphate pathway, the tricarboxylic acid (TCA) cycle, redox metabolism, amino acids, and nucleotides), we compared six separation methods designed for the analysis of these mostly very polar primary metabolites, two methods each for gas chromatography (GC), liquid chromatography (LC), and capillary electrophoresis (CE). For analyses on a single platform, LC provides the best combination of both versatility and robustness. If a second platform can be used, it is best complemented by GC. Only liquid-phase separation systems can handle large polar metabolites, such as those containing multiple phosphate groups. As assessed by supplementing the defined mixture with C-13-labeled yeast extracts, matrix effects are a common phenomenon on all platforms. Therefore, suitable internal standards, such as C-13-labeled biomass extracts, are mandatory for quantitative metabolomics with any methods.
引用
收藏
页码:2135 / 2143
页数:9
相关论文
共 50 条
  • [21] CROSS-PLATFORM WARRIOR
    COTE, RG
    BYTE, 1994, 19 (10): : 163 - &
  • [22] Cross-platform independence
    Clarke, RA
    DR DOBBS JOURNAL, 1999, 24 (12): : 10 - 10
  • [23] On cross-platform security
    Gong, L
    COMPUTER SYSTEMS: THEORY, TECHNOLOGY AND APPLICATIONS: A TRIBUTE TO ROGER NEEDHAM, 2004, : 89 - 91
  • [24] Cross-platform design
    Bond, T
    DR DOBBS JOURNAL, 1999, 24 (11): : 10 - 10
  • [25] A Cross-Platform Metabolomics Comparison Identifies Serum Metabolite Signatures of Liver Fibrosis Progression in Chronic Hepatitis C Patients
    Shanmuganathan, Meera
    Sarfaraz, Mohammad Omair
    Kroezen, Zachary
    Philbrick, Holly
    Poon, Richel
    Don-Wauchope, Andrew
    Puglia, Marco
    Wishart, David
    Britz-McKibbin, Philip
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 8
  • [26] The wxWindows cross-platform framework - A C++ framework for building cross-platform applications
    Zeitlin, V
    DR DOBBS JOURNAL, 2001, 26 (05): : 106 - +
  • [27] A cross-platform approach identifies genetic regulators of human metabolism and health
    Lotta, Luca A.
    Pietzner, Maik
    Stewart, Isobel D.
    Wittemans, Laura B. L.
    Li, Chen
    Bonelli, Roberto
    Raffler, Johannes
    Biggs, Emma K.
    Oliver-Williams, Clare
    Auyeung, Victoria P. W.
    Luan, Jian'an
    Wheeler, Eleanor
    Paige, Ellie
    Surendran, Praveen
    Michelotti, Gregory A.
    Scott, Robert A.
    Burgess, Stephen
    Zuber, Verena
    Sanderson, Eleanor
    Koulman, Albert
    Imamura, Fumiaki
    Forouhi, Nita G.
    Khaw, Kay-Tee
    Griffin, Julian L.
    Wood, Angela M.
    Kastenmueller, Gabi
    Danesh, John
    Butterworth, Adam S.
    Gribble, Fiona M.
    Reimann, Frank
    Bahlo, Melanie
    Fauman, Eric
    Wareham, Nicholas J.
    Langenberg, Claudia
    NATURE GENETICS, 2021, 53 (01) : 54 - 64
  • [28] Cross-platform metabolomics investigating the intracellular metabolic alterations of HaCaT cells exposed to phenanthrene
    Jiang, Guoting
    Kang, Hongyan
    Yu, Yunqiu
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2017, 1060 : 15 - 21
  • [29] A cross-platform approach identifies genetic regulators of human metabolism and health
    Luca A. Lotta
    Maik Pietzner
    Isobel D. Stewart
    Laura B. L. Wittemans
    Chen Li
    Roberto Bonelli
    Johannes Raffler
    Emma K. Biggs
    Clare Oliver-Williams
    Victoria P. W. Auyeung
    Jian’an Luan
    Eleanor Wheeler
    Ellie Paige
    Praveen Surendran
    Gregory A. Michelotti
    Robert A. Scott
    Stephen Burgess
    Verena Zuber
    Eleanor Sanderson
    Albert Koulman
    Fumiaki Imamura
    Nita G. Forouhi
    Kay-Tee Khaw
    Julian L. Griffin
    Angela M. Wood
    Gabi Kastenmüller
    John Danesh
    Adam S. Butterworth
    Fiona M. Gribble
    Frank Reimann
    Melanie Bahlo
    Eric Fauman
    Nicholas J. Wareham
    Claudia Langenberg
    Nature Genetics, 2021, 53 : 54 - 64
  • [30] Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation
    Yu, Shengze
    Wang, Xin
    Zhu, Wenwu
    Cui, Peng
    Wang, Jingdong
    PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 4635 - 4641