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Rapidly signal‐enhanced metabolites for atomic scale monitoring of living cells with magnetic resonance

MPS-Authors
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Ding,  Y.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

/persons/resource/persons220777

Korchak,  S.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

/persons/resource/persons220779

Mamone,  S.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Jagtap,  A. P.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Stevanato,  G.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Sternkopf,  S.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Moll,  D.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Schroeder,  H.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Becker,  S.
Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Griesinger,  C.       
Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

/persons/resource/persons206060

Glöggler,  S.
Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Citation

Ding, Y., Korchak, S., Mamone, S., Jagtap, A. P., Stevanato, G., Sternkopf, S., et al. (2022). Rapidly signal‐enhanced metabolites for atomic scale monitoring of living cells with magnetic resonance. Chemistry–Methods, 2(7): e202200023. doi:10.1002/cmtd.202200023.


Cite as: https://hdl.handle.net/21.11116/0000-000A-D296-F
Abstract
Nuclear magnetic resonance (NMR) is widely applied from analytics to biomedicine although it is an inherently insensitive phenomenon. Overcoming sensitivity challenges is key to further broaden the applicability of NMR and, for example, improve medical diagnostics. Here, we present a rapid strategy to enhance the signals of 13C-labelled metabolites with para-hydrogen and, in particular, 13C-pyruvate, an important molecule for the energy metabolism. We succeeded to obtain an average of 27 % 13C polarization of 1-13C-pyruvate in water which allowed us to introduce two applications for studying cellular metabolism. Firstly, we demonstrate that the metabolism of 1-13C-pyruvate can serve as a biomarker in cellular models of Parkinson's disease and, secondly, we introduce the opportunity to combine real-time metabolic analysis with protein structure determination in the same cells. Based on the here presented results, we envision the use of our approach for future biomedical studies to detect diseases.