Literature DB >> 28272839

Combined Analysis of NMR and MS Spectra (CANMS).

Mei Chong1, Anusha Jayaraman2, Silvia Marin2, Vitaly Selivanov2, Pedro R de Atauri Carulla2, Daniel A Tennant3, Marta Cascante2, Ulrich L Günther1, Christian Ludwig3.   

Abstract

Cellular metabolism in mammalian cells represents a challenge for analytical chemistry in the context of current biomedical research. Mass spectrometry and NMR spectroscopy together with computational tools have been used to study metabolism in cells. Compartmentalization of metabolism complicates the interpretation of stable isotope patterns in mammalian cells owing to the superimposition of different pathways contributing to the same pool of analytes. This indicates a need for a model-free approach to interpret such data. Mass spectrometry and NMR spectroscopy provide complementary analytical information on metabolites. Herein an approach that simulates 13 C multiplets in NMR spectra and utilizes mass increments to obtain long-range information is presented. The combined information is then utilized to derive isotopomer distributions. This is a first rigorous analytical and computational approach for a model-free analysis of metabolic data applicable to mammalian cells.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  NMR spectroscopy; analytical methods; mass spectrometry; metabolism; tracer analysis

Year:  2017        PMID: 28272839     DOI: 10.1002/anie.201611634

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  8 in total

Review 1.  NMR-based isotope editing, chemoselection and isotopomer distribution analysis in stable isotope resolved metabolomics.

Authors:  Penghui Lin; Teresa W-M Fan; Andrew N Lane
Journal:  Methods       Date:  2022-07-28       Impact factor: 4.647

Review 2.  Studying Metabolism by NMR-Based Metabolomics.

Authors:  Sofia Moco
Journal:  Front Mol Biosci       Date:  2022-04-27

3.  High-Speed Tracer Analysis of Metabolism (HS-TrAM).

Authors:  Thomas Brendan Smith; Kamlesh Patel; Mark Jeeves; Christian Ludwig; Haydn Munford; Andrew Peet; Daniel A Tennant
Journal:  Wellcome Open Res       Date:  2018-01-12

4.  An Improved Method for Measuring Absolute Metabolite Concentrations in Small Biofluid or Tissue Samples.

Authors:  Tharindu Fernando; Annick Sawala; Andrew P Bailey; Alex P Gould; Paul C Driscoll
Journal:  J Proteome Res       Date:  2019-02-22       Impact factor: 4.466

5.  A framework for tracer-based metabolism in mammalian cells by NMR.

Authors:  Raquel Saborano; Zuhal Eraslan; Jennie Roberts; Farhat L Khanim; Patricia F Lalor; Michelle A C Reed; Ulrich L Günther
Journal:  Sci Rep       Date:  2019-02-21       Impact factor: 4.379

Review 6.  Metabolic flux analysis: a comprehensive review on sample preparation, analytical techniques, data analysis, computational modelling, and main application areas.

Authors:  Bruna de Falco; Francesco Giannino; Fabrizio Carteni; Stefano Mazzoleni; Dong-Hyun Kim
Journal:  RSC Adv       Date:  2022-09-07       Impact factor: 4.036

7.  Metabolic tracing reveals novel adaptations to skeletal muscle cell energy production pathways in response to NAD + depletion.

Authors:  Lucy A Oakey; Rachel S Fletcher; Yasir S Elhassan; David M Cartwright; Craig L Doig; Antje Garten; Alpesh Thakker; Oliver D K Maddocks; Tong Zhang; Daniel A Tennant; Christian Ludwig; Gareth G Lavery
Journal:  Wellcome Open Res       Date:  2018-11-15

8.  In vivo [U-13C]glucose labeling to assess heart metabolism in murine models of pressure and volume overload.

Authors:  Moritz Schnelle; Mei Chong; Anna Zoccarato; Manar Elkenani; Greta Jane Sawyer; Gerd Hasenfuss; Christian Ludwig; Ajay M Shah
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-07-10       Impact factor: 4.733

  8 in total

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