Statistical considerations and database limitations in NMR-based metabolic profiling studies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Link
https://link.springer.com/content/pdf/10.1007/s11306-023-02027-5.pdf
Reference25 articles.
1. Beckonert, O., Keun, H. C., Ebbels, T. M., Bundy, J., Holmes, E., Lindon, J. C., et al. (2007). Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nature Protocols, 2, 2692–2703. https://doi.org/10.1038/nprot.2007.376
2. Bingol, K., Li, D. W., Zhang, B., & Bruschweiler, R. (2016). Comprehensive metabolite identification strategy using multiple two-dimensional NMR spectra of a complex mixture implemented in the COLMARm web server. Analytical Chemistry, 88, 12411–12418. https://doi.org/10.1021/acs.analchem.6b03724
3. Bouatra, S., Aziat, F., Mandal, R., Guo, A. C., Wilson, M. R., Knox, C., et al. (2013). The human urine metabolome. PLoS ONE, 8, e73076. https://doi.org/10.1371/journal.pone.0073076
4. Chihanga, T., Hausmann, S. M., Ni, S., & Kennedy, M. A. (2018a). Influence of media selection on NMR based metabolic profiling of human cell lines. Metabolomics, 14, 28. https://doi.org/10.1007/s11306-018-1323-2
5. Chihanga, T., Ma, Q., Nicholson, J. D., Ruby, H. N., Edelmann, R. E., Devarajan, P., et al. (2018b). NMR spectroscopy and electron microscopy identification of metabolic and ultrastructural changes to the kidney following ischemia-reperfusion injury. American Journal of Physiology-Renal Physiology, 314, F154–F166. https://doi.org/10.1152/ajprenal.00363.2017
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