| Literature DB >> 28272839 |
Mei Chong1, Anusha Jayaraman2, Silvia Marin2, Vitaly Selivanov2, Pedro R de Atauri Carulla2, Daniel A Tennant3, Marta Cascante2, Ulrich L Günther1, Christian Ludwig3.
Abstract
Cellular metabolism in mammalian cells represents a challenge for analytical chemistry in the context of current biomedical research. Mass spectrometry and NMR spectroscopy together with computational tools have been used to study metabolism in cells. Compartmentalization of metabolism complicates the interpretation of stable isotope patterns in mammalian cells owing to the superimposition of different pathways contributing to the same pool of analytes. This indicates a need for a model-free approach to interpret such data. Mass spectrometry and NMR spectroscopy provide complementary analytical information on metabolites. Herein an approach that simulates 13 C multiplets in NMR spectra and utilizes mass increments to obtain long-range information is presented. The combined information is then utilized to derive isotopomer distributions. This is a first rigorous analytical and computational approach for a model-free analysis of metabolic data applicable to mammalian cells.Entities:
Keywords: NMR spectroscopy; analytical methods; mass spectrometry; metabolism; tracer analysis
Year: 2017 PMID: 28272839 DOI: 10.1002/anie.201611634
Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN: 1433-7851 Impact factor: 15.336