Natural isotope correction of MS/MS measurements for metabolomics and 13C fluxomics

Niedenfuehr S, Ten Pierick A, Van Dam PTN, Suarez-Mendez CA, Noeh K, Wahl SA (2016)

Publication Type: Journal article

Publication year: 2016

Journal

Biotechnology and Bioengineering Wiley-Blackwell

Book Volume: 113

Pages Range: 1137-1147

Journal Issue: 5

DOI: 10.1002/bit.25859

Abstract

Fluxomics and metabolomics are crucial tools for metabolic engineering and biomedical analysis to determine the in vivo cellular state. Especially, the application of 13C isotopes allows comprehensive insights into the functional operation of cellular metabolism. Compared to single MS, tandem mass spectrometry (MS/MS) provides more detailed and accurate measurements of the metabolite enrichment patterns (tandem mass isotopomers), increasing the accuracy of metabolite concentration measurements and metabolic flux estimation. MS-type data from isotope labeling experiments is biased by naturally occurring stable isotopes (C, H, N, O, etc.). In particular, GC-MS(/MS) requires derivatization for the usually non-volatile intracellular metabolites introducing additional natural isotopes leading to measurements that do not directly represent the carbon labeling distribution. To make full useof LC- and GC-MS/MS mass isotopomer measurements, the influence of natural isotopes has to be eliminated (corrected). Our correction approach is analyzed for the two most common applications; 13C fluxomics and isotope dilution mass spectrometry (IDMS) based metabolomics. Natural isotopes can have an impact on the calculated flux distribution which strongly depends on the substrate labeling and the actual flux distribution. Second, we show that in IDMS based metabolomics natural isotopes lead to underestimated concentrations that can and should be corrected with a nonlinear calibration. Our simulations indicate that the correction for natural abundance in isotope based fluxomics and quantitative metabolomics is essential for correct data interpretation. Biotechnol.

Authors with CRIS profile

Sebastian Aljoscha Wahl

Involved external institutions

Delft University of Technology (TU Delft) NL Netherlands (NL) Forschungszentrum Jülich / Research Centre Jülich (FZJ) DE Germany (DE)

How to cite

APA:

Niedenfuehr, S., Ten Pierick, A., Van Dam, P.T.N., Suarez-Mendez, C.A., Noeh, K., & Wahl, S.A. (2016). Natural isotope correction of MS/MS measurements for metabolomics and 13C fluxomics. Biotechnology and Bioengineering, 113(5), 1137-1147. https://dx.doi.org/10.1002/bit.25859

MLA:

Niedenfuehr, Sebastian, et al. "Natural isotope correction of MS/MS measurements for metabolomics and 13C fluxomics." Biotechnology and Bioengineering 113.5 (2016): 1137-1147.

BibTeX: Download