Literature DB >> 23773204

Quantitative analysis of metabolic mixtures by two-dimensional 13C constant-time TOCSY NMR spectroscopy.

Kerem Bingol1, Fengli Zhang, Lei Bruschweiler-Li, Rafael Brüschweiler.   

Abstract

An increasing number of organisms can be fully (13)C-labeled, which has the advantage that their metabolomes can be studied by high-resolution two-dimensional (2D) NMR (13)C-(13)C constant-time (CT) total correlation spectroscopy (TOCSY) experiments. Individual metabolites can be identified via database searching or, in the case of novel compounds, through the reconstruction of their backbone-carbon topology. Determination of quantitative metabolite concentrations is another key task. Because strong peak overlaps in one-dimensional (1D) NMR spectra prevent straightforward quantification through 1D peak integrals, we demonstrate here the direct use of (13)C-(13)C CT-TOCSY spectra for metabolite quantification. This is accomplished through the quantum mechanical treatment of the TOCSY magnetization transfer at short and long-mixing times or by the use of analytical approximations, which are solely based on the knowledge of the carbon-backbone topologies. The methods are demonstrated for carbohydrate and amino acid mixtures.

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Year:  2013        PMID: 23773204      PMCID: PMC4447502          DOI: 10.1021/ac400913m

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


  18 in total

1.  A novel strategy for the assignment of side-chain resonances in completely deuterated large proteins using 13C spectroscopy.

Authors:  Alexander Eletsky; Osvaldo Moreira; Helena Kovacs; Konstantin Pervushin
Journal:  J Biomol NMR       Date:  2003-06       Impact factor: 2.835

Review 2.  Quantitative 1H NMR: development and potential of a method for natural products analysis.

Authors:  Guido F Pauli; Birgit U Jaki; David C Lankin
Journal:  J Nat Prod       Date:  2005-01       Impact factor: 4.050

Review 3.  Analytical strategies in metabonomics.

Authors:  Eva Maria Lenz; Ian D Wilson
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

4.  Quantification of metabolites from two-dimensional nuclear magnetic resonance spectroscopy: application to human urine samples.

Authors:  Ratan Kumar Rai; Pratima Tripathi; Neeraj Sinha
Journal:  Anal Chem       Date:  2009-12-15       Impact factor: 6.986

5.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

6.  Deconvolution of chemical mixtures with high complexity by NMR consensus trace clustering.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2011-08-30       Impact factor: 6.986

7.  Method for determining molar concentrations of metabolites in complex solutions from two-dimensional 1H-13C NMR spectra.

Authors:  Ian A Lewis; Seth C Schommer; Brendan Hodis; Kate A Robb; Marco Tonelli; William M Westler; Michael R Sussman; John L Markley
Journal:  Anal Chem       Date:  2007-11-07       Impact factor: 6.986

8.  Quantitative two-dimensional HSQC experiment for high magnetic field NMR spectrometers.

Authors:  Harri Koskela; Outi Heikkilä; Ilkka Kilpeläinen; Sami Heikkinen
Journal:  J Magn Reson       Date:  2009-09-30       Impact factor: 2.229

9.  Urinary metabolite quantification employing 2D NMR spectroscopy.

Authors:  Wolfram Gronwald; Matthias S Klein; Hannelore Kaspar; Stephan R Fagerer; Nadine Nürnberger; Katja Dettmer; Thomas Bertsch; Peter J Oefner
Journal:  Anal Chem       Date:  2008-12-01       Impact factor: 6.986

10.  NMR in metabolomics and natural products research: two sides of the same coin.

Authors:  Steven L Robinette; Rafael Brüschweiler; Frank C Schroeder; Arthur S Edison
Journal:  Acc Chem Res       Date:  2011-09-02       Impact factor: 22.384

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  19 in total

1.  Comprehensive Metabolite Identification Strategy Using Multiple Two-Dimensional NMR Spectra of a Complex Mixture Implemented in the COLMARm Web Server.

Authors:  Kerem Bingol; Da-Wei Li; Bo Zhang; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2016-12-06       Impact factor: 6.986

Review 2.  Can NMR solve some significant challenges in metabolomics?

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  J Magn Reson       Date:  2015-08-18       Impact factor: 2.229

Review 3.  Emerging new strategies for successful metabolite identification in metabolomics.

Authors:  Kerem Bingol; Lei Bruschweiler-Li; Dawei Li; Bo Zhang; Mouzhe Xie; Rafael Brüschweiler
Journal:  Bioanalysis       Date:  2016-02-26       Impact factor: 2.681

Review 4.  The future of NMR-based metabolomics.

Authors:  John L Markley; Rafael Brüschweiler; Arthur S Edison; Hamid R Eghbalnia; Robert Powers; Daniel Raftery; David S Wishart
Journal:  Curr Opin Biotechnol       Date:  2016-08-28       Impact factor: 9.740

Review 5.  Increasing rigor in NMR-based metabolomics through validated and open source tools.

Authors:  Hamid R Eghbalnia; Pedro R Romero; William M Westler; Kumaran Baskaran; Eldon L Ulrich; John L Markley
Journal:  Curr Opin Biotechnol       Date:  2016-09-16       Impact factor: 9.740

Review 6.  Knowns and unknowns in metabolomics identified by multidimensional NMR and hybrid MS/NMR methods.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Curr Opin Biotechnol       Date:  2016-08-20       Impact factor: 9.740

7.  Enhanced Nuclear Magnetic Resonance Spectroscopy with Isotropic Mixing as a Pseudodimension.

Authors:  Dariusz Gołowicz; Alexandra Shchukina; Krzysztof Kazimierczuk
Journal:  Anal Chem       Date:  2022-06-13       Impact factor: 8.008

Review 8.  Multidimensional approaches to NMR-based metabolomics.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2013-11-22       Impact factor: 6.986

9.  2D-Cosy NMR Spectroscopy as a Quantitative Tool in Biological Matrix: Application to Cyclodextrins.

Authors:  Gilles Dufour; Brigitte Evrard; Pascal de Tullio
Journal:  AAPS J       Date:  2015-08-25       Impact factor: 4.009

10.  NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

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