Your browser doesn't support javascript.
loading
Spectrally accurate quantitative analysis of isotope-labeled compounds.
Kuehl, Don; Wang, Yongdong; Wang, Peter L; Zhou, Dawei.
Afiliação
  • Kuehl D; Cerno Bioscience, 1180 N Town Center Dr., Suite 100, Las Vegas, NV, 89144, USA.
  • Wang Y; Cerno Bioscience, 1180 N Town Center Dr., Suite 100, Las Vegas, NV, 89144, USA.
  • Wang PL; XenoBiotic Laboratories Inc. (part of WuXi AppTec), Plainsboro, NJ, USA.
  • Zhou D; XenoBiotic Laboratories Inc. (part of WuXi AppTec), Plainsboro, NJ, USA.
Rapid Commun Mass Spectrom ; : e9103, 2021 Apr 13.
Article em En | MEDLINE | ID: mdl-33847420
ABSTRACT
Calculated profile mode mass spectrometry (MS) data are fitted to lineshape-calibrated liquid chromatography LC/MS data using a Multiple Linear Regression (MLR) model to quantitate the relative concentrations of stable or radiolabeled compound mixtures. This alternative approach significantly improves the precision and accuracy over existing MS methods while providing the much-needed statistical diagnostics on the goodness-of-fit model and thus reliability of the quantitative results obtained. Test compound data containing S/Cl atoms have been measured with either stable deuterium labeling or radioisotope uniform 14 C labeling onto an aromatic ring. Since the entire relative distribution of variously labeled compounds is automatically obtained through this approach, it is feasible to directly calculate the Specific Activity (SA) from such mass spectral analysis without radioactivity detection and the usual standard curve quantitation. The applicability of this approach to systematically and accurately accommodate and account for incomplete labeling chemistry or other impurities is also discussed, with wide-ranging implications including metabolic flux, HDX (Hydrogen/Deuterium Exchange), and quantitative proteomics.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rapid Commun Mass Spectrom Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rapid Commun Mass Spectrom Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos