TY - JOUR
T1 - Quantitative Isotopomer Rates in Real-Time Metabolism of Cells Determined by NMR Methods
AU - Reed, Michelle A.C.
AU - Roberts, Jennie
AU - Gierth, Peter
AU - Kupče, Ēriks
AU - Günther, Ulrich L.
N1 - Funding Information:
We thank the BBSRC for supporting J.R. in the context of a CASE studentship. We are also grateful to the Wellcome Trust for supporting access to NMR instruments at the Henry Wellcome Building for Biomolecular NMR in Birmingham.
Publisher Copyright:
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/9/2
Y1 - 2019/9/2
N2 - Tracer-based metabolism is becoming increasingly important for studying metabolic mechanisms in cells. NMR spectroscopy offers several approaches to measure label incorporation in metabolites, including 13C- and 1H-detected spectra. The latter are generally more sensitive, but quantification depends on the proton–carbon 1JCH coupling constant, which varies significantly between different metabolites. It is therefore not possible to have one experiment optimised for all metabolites, and quantification of 1H-edited spectra such as HSQCs requires precise knowledge of coupling constants. Increasing interest in tracer-based and metabolic flux analysis requires robust analyses with reasonably small acquisition times. Herein, we compare 13C-filtered and 13C-edited methods for quantification and show the applicability of the methods for real-time NMR spectroscopy of cancer-cell metabolism, in which label incorporations are subject to constant flux. We find an approach using a double filter to be most suitable and sufficiently robust to reliably obtain 13C incorporations from difference spectra. This is demonstrated for JJN3 multiple myeloma cells processing glucose over 24 h. The proposed method is equally well suited for calculating the level of label incorporation in labelled cell extracts in the context of metabolic flux analysis.
AB - Tracer-based metabolism is becoming increasingly important for studying metabolic mechanisms in cells. NMR spectroscopy offers several approaches to measure label incorporation in metabolites, including 13C- and 1H-detected spectra. The latter are generally more sensitive, but quantification depends on the proton–carbon 1JCH coupling constant, which varies significantly between different metabolites. It is therefore not possible to have one experiment optimised for all metabolites, and quantification of 1H-edited spectra such as HSQCs requires precise knowledge of coupling constants. Increasing interest in tracer-based and metabolic flux analysis requires robust analyses with reasonably small acquisition times. Herein, we compare 13C-filtered and 13C-edited methods for quantification and show the applicability of the methods for real-time NMR spectroscopy of cancer-cell metabolism, in which label incorporations are subject to constant flux. We find an approach using a double filter to be most suitable and sufficiently robust to reliably obtain 13C incorporations from difference spectra. This is demonstrated for JJN3 multiple myeloma cells processing glucose over 24 h. The proposed method is equally well suited for calculating the level of label incorporation in labelled cell extracts in the context of metabolic flux analysis.
UR - http://www.scopus.com/inward/record.url?scp=85069868569&partnerID=8YFLogxK
U2 - 10.1002/cbic.201900084
DO - 10.1002/cbic.201900084
M3 - Journal articles
C2 - 30990951
AN - SCOPUS:85069868569
SN - 1439-4227
VL - 20
SP - 2207
EP - 2211
JO - Chembiochem
JF - Chembiochem
IS - 17
ER -