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dc.contributor.authorNoothalapati, Hemanthen_US
dc.contributor.authorShigeto, Shinsukeen_US
dc.date.accessioned2019-04-02T06:00:07Z-
dc.date.available2019-04-02T06:00:07Z-
dc.date.issued2014-08-05en_US
dc.identifier.issn0003-2700en_US
dc.identifier.urihttp://dx.doi.org/10.1021/ac501735cen_US
dc.identifier.urihttp://hdl.handle.net/11536/147773-
dc.description.abstractUnderstanding 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 C-13-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 C-13. Our approach is applicable to other metabolites and will earn a place in the toolbox of metabolomic analysis.en_US
dc.language.isoen_USen_US
dc.titleExploring Metabolic Pathways in Vivo by a Combined Approach of Mixed Stable Isotope-Labeled Raman Microspectroscopy and Multivariate Curve Resolution Analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1021/ac501735cen_US
dc.identifier.journalANALYTICAL CHEMISTRYen_US
dc.citation.volume86en_US
dc.citation.spage7828en_US
dc.citation.epage7834en_US
dc.contributor.department應用化學系zh_TW
dc.contributor.department應用化學系分子科學碩博班zh_TW
dc.contributor.departmentDepartment of Applied Chemistryen_US
dc.contributor.departmentInstitute of Molecular scienceen_US
dc.identifier.wosnumberWOS:000340081100094en_US
dc.citation.woscount13en_US
Appears in Collections:Articles