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Carbon Isotopomer Analysis with Non-Unifom Sampling HSQC NMR for Cell Extract and Live Cell Metabolomics Studies.
Lee, Sujin; Wen, He; An, Yong Jin; Cha, Jin Wook; Ko, Yoon-Joo; Hyberts, Sven G; Park, Sunghyouk.
Afiliación
  • Lee S; Natural Product Research Institute, College of Pharmacy, Seoul National University , Sillim-dong, Gwanak-gu, Seoul 151-742, Korea.
  • Wen H; Natural Product Research Institute, College of Pharmacy, Seoul National University , Sillim-dong, Gwanak-gu, Seoul 151-742, Korea.
  • An YJ; Department of Biochemistry and Molecular Biology, School of Medicine, Shenzhen University , Shenzhen 518060, China.
  • Cha JW; Natural Product Research Institute, College of Pharmacy, Seoul National University , Sillim-dong, Gwanak-gu, Seoul 151-742, Korea.
  • Ko YJ; Natural Product Research Institute, College of Pharmacy, Seoul National University , Sillim-dong, Gwanak-gu, Seoul 151-742, Korea.
  • Hyberts SG; Natural Constituents Research Center, Korea Institute of Science and Technology (KIST) , Gangneung 25451, Korea.
  • Park S; National Center for Inter-University Research Facilities (NCIRF), Seoul National University , Sillim-dong, Gwanak-gu, Seoul 151-742, Korea.
Anal Chem ; 89(2): 1078-1085, 2017 01 17.
Article en En | MEDLINE | ID: mdl-28029042
Isotopomer analysis using either 13C NMR or LC/GC-MS has been an invaluable tool for studying metabolic activities in a variety of systems. Traditional challenges are, however, that 13C-detected NMR is insensitive despite its high resolution, and that MS-based techniques cannot easily differentiate positional isotopomers. In addition, current 13C NMR or LC/GC-MS has limitations in detecting metabolites in living cells. Here, we describe a non-uniform sampling-based 2D heteronuclear single quantum coherence (NUS HSQC) approach to measure metabolic isotopomers in both cell lysates and living cells. The method provides a high resolution that can resolve multiplet structures in the 13C dimension while retaining the sensitivity of the 1H-indirect detection. The approach was tested in L1210 mouse leukemia cells labeled with 13C acetate by measuring NUS HSQC with 25% sampling density. The results gave a variety of metabolic information such as (1) higher usage of acetate in acetylation pathway than aspartate synthesis, (2) TCA cycle efficiency changes upon the inhibition of mitochondrial oxidative phosphorylation by pharmacological agents, and (3) position-dependent isotopomer patterns in fatty acids in living cells. In addition, we were able to detect fatty acids along with other hydrophilic molecules in one sample of live cells without extraction. Overall, the high sensitivity and resolution along with the application to live cells should make the NUS HSQC approach attractive in studying carbon flux information in metabolic studies.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Isótopos de Carbono / Redes y Vías Metabólicas / Metabolómica / Espectroscopía de Resonancia Magnética con Carbono-13 Límite: Animals Idioma: En Revista: Anal Chem Año: 2017 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Isótopos de Carbono / Redes y Vías Metabólicas / Metabolómica / Espectroscopía de Resonancia Magnética con Carbono-13 Límite: Animals Idioma: En Revista: Anal Chem Año: 2017 Tipo del documento: Article