Combined Analysis of NMR and MS Spectra (CANMS).
Mei ChongAnusha JayaramanSilvia MarinVitaly SelivanovPedro R de Atauri CarullaDaniel A TennantMarta CascanteUlrich L GüntherChristian LudwigPublished in: Angewandte Chemie (International ed. in English) (2017)
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.
Keyphrases
- mass spectrometry
- liquid chromatography
- high resolution
- tandem mass spectrometry
- magnetic resonance
- health information
- ms ms
- gas chromatography
- electronic health record
- capillary electrophoresis
- high performance liquid chromatography
- induced apoptosis
- big data
- solid state
- density functional theory
- simultaneous determination
- cell cycle arrest
- cell proliferation
- cell death
- molecular dynamics
- signaling pathway
- social media
- drug discovery