Hyperpolarized NMR Metabolomics at Natural 13 C Abundance

Autor: Dennis Kurzbach, Catherine Deborde, Sami Jannin, Marc Schnell, James G. Kempf, Quentin Chappuis, Dmitry Eshchenko, Estelle Martineau, Jean-Nicolas Dumez, Daniel J. Jacob, Elodie Gandriau, Annick Moing, Patrick Giraudeau, Benoît Charrier, Morgan Ceillier, Samuel F. Cousin, Roberto Melzi, Arnab Dey
Přispěvatelé: Chimie Et Interdisciplinarité : Synthèse, Analyse, Modélisation (CEISAM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Biologie du fruit et pathologie (BFP), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bruker BioSpin, University of Vienna [Vienna], Université Claude Bernard Lyon 1 - Faculté des sciences et technologies (UCBL FST), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, European Research Council under the European Union’s Horizon 2020 research and innovation program (ERC Grant Agreements n° 814747/SUMMIT, DINAMIX n° 801774, n° 714519/HP4all, HYPROTIN n° 801936), European Project: 801774,Dinamix, European Project: 814747,SUMMIT, European Project: 714519,HP4all, European Project: 801936,HYPROTIN, Université de Nantes (UN)-Université de Nantes (UN)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 - Faculté des sciences (UCBL FS)
Rok vydání: 2020
Předmět:
Zdroj: Analytical Chemistry
Analytical Chemistry, American Chemical Society, 2020, 92 (22), pp.14867-14871. ⟨10.1021/acs.analchem.0c03510⟩
Analytical Chemistry, 2020, 92 (22), pp.14867-14871. ⟨10.1021/acs.analchem.0c03510⟩
ISSN: 0003-2700
1520-6882
DOI: 10.1021/acs.analchem.0c03510?ref=pdf
Popis: Metabolomics plays a pivotal role in systems biology, and NMR is a central tool with high precision and exceptional resolution of chemical information. Most NMR metabolomic studies are based on 1H 1D spectroscopy, severely limited by peak overlap. 13C NMR benefits from a larger signal dispersion but is barely used in metabolomics due to ca. 6000-fold lower sensitivity. We introduce a new approach, based on hyperpolarized 13C NMR at natural abundance, that circumvents this limitation. A new untargeted NMR-based metabolomic workflow based on dissolution dynamic nuclear polarization (d-DNP) for the first time enabled hyperpolarized natural abundance 13C metabolomics. Statistical analysis of resulting hyperpolarized 13C data distinguishes two groups of plant (tomato) extracts and highlights biomarkers, in full agreement with previous results on the same biological model. We also optimize parameters of the semiautomated d-DNP system suitable for high-throughput studies.
Databáze: OpenAIRE