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- W2022761000 abstract "Understanding cellular metabolism is a major challenge in current systems biology and has triggered extensive metabolomics research, which in most cases involves destructive analysis. However, the information obtainable only in a nondestructive manner will be required for accurately mapping the global structure of the organism’s metabolic network at a given instant. Here we report that metabolic pathways can be explored in vivo by mixed stable isotope-labeled Raman microspectroscopy in conjunction with multivariate curve resolution analysis. As a model system, we studied ergosterol biosynthesis in single living fission yeast cells grown in mixtures of normal and 13C-labeled glucose as the sole carbon source. The multivariate spectral data analysis of space-resolved Raman spectra revealed the intrinsic spectra and relative abundances of all isotopomers of ergosterol whose carbon atoms in the 5,7-diene moiety of the sterol skeleton are either partly or fully substituted with 13C. Our approach is applicable to other metabolites and will earn a place in the toolbox of metabolomic analysis." @default.
- W2022761000 created "2016-06-24" @default.
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- W2022761000 date "2014-07-10" @default.
- W2022761000 modified "2023-10-05" @default.
- W2022761000 title "Exploring Metabolic Pathways in Vivo by a Combined Approach of Mixed Stable Isotope-Labeled Raman Microspectroscopy and Multivariate Curve Resolution Analysis" @default.
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- W2022761000 doi "https://doi.org/10.1021/ac501735c" @default.
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