1H-13C HSQC - Explore the Science & Experts | ideXlab

Scan Science and Technology

Contact Leading Edge Experts & Companies

1H-13C HSQC

The Experts below are selected from a list of 1104 Experts worldwide ranked by ideXlab platform

Inna Freikman – 1st expert on this subject based on the ideXlab platform

  • The trans labilization of cis-[PtCl_2(^13CH_3NH_2)_2] by glutathione can be monitored at physiological pH by [1H,13C] HSQC NMR
    JBIC Journal of Biological Inorganic Chemistry, 2006
    Co-Authors: Dan Gibson, Yonit Kasherman, Dina Kowarski, Inna Freikman

    Abstract:

    In order to monitor the trans labilization of cisplatin at physiological pH we have prepared the complex cis -[PtCl_2(^13CH_3NH_2)_2] and studied its interactions with excess glutathione in aqueous solution at neutral pH by two-dimensional [1H,13C] heteronuclear single-quantum correlation (HSQC) NMR spectroscopy. [1H,13C] HSQC spectroscopy is a good method for following the release of ^13CH_3NH_2 but is not so good for characterizing the Pt species in solution. In the reaction of cisplatin with glutathione, Pt–S bonds are formed and Pt–NH_3 bonds are broken. The best technique for following the formation of Pt–S bonds of cisplatin is by UV spectroscopy. [1H,13C] HSQC spectroscopy is the best method for following the breaking of the Pt–N bonds. [1H,15N] HSQC spectroscopy is the best method for characterizing the different species in solution. However, the intensity of the peaks in the ^15NH_3–Pt–S region, in [1H,15N] HSQC, reflects a balance between the formation of Pt–S bonds, which increases the signal intensity, and the trans labilization, which decreases the signal intensity. [1H,15N] HSQC spectroscopy and [1H,13C] HSQC spectroscopy are complementary techniques that should be used in conjunction in order to obtain the most accurate information on the interaction of platinum complexes with sulfur-containing ligands.

  • The trans labilization of cis-[PtCl2(13CH3NH2)2] by glutathione can be monitored at physiological pH by [1H,13C] HSQC NMR.
    Journal of Biological Inorganic Chemistry, 2005
    Co-Authors: Dan Gibson, Yonit Kasherman, Dina Kowarski, Inna Freikman

    Abstract:

    In order to monitor the trans labilization of cisplatin at physiological pH we have prepared the complex cis-[PtCl2(13CH3NH2)2] and studied its interactions with excess glutathione in aqueous solution at neutral pH by two-dimensional [1H,13C] heteronuclear single-quantum correlation (HSQC) NMR spectroscopy. [1H,13C] HSQC spectroscopy is a good method for following the release of 13CH3NH2 but is not so good for characterizing the Pt species in solution. In the reaction of cisplatin with glutathione, Pt–S bonds are formed and Pt–NH3 bonds are broken. The best technique for following the formation of Pt–S bonds of cisplatin is by UV spectroscopy. [1H,13C] HSQC spectroscopy is the best method for following the breaking of the Pt–N bonds. [1H,15N] HSQC spectroscopy is the best method for characterizing the different species in solution. However, the intensity of the peaks in the 15NH3–Pt–S region, in [1H,15N] HSQC, reflects a balance between the formation of Pt–S bonds, which increases the signal intensity, and the trans labilization, which decreases the signal intensity. [1H,15N] HSQC spectroscopy and [1H,13C] HSQC spectroscopy are complementary techniques that should be used in conjunction in order to obtain the most accurate information on the interaction of platinum complexes with sulfur-containing ligands.

Xian-wen Yang – 2nd expert on this subject based on the ideXlab platform

  • Microindolinone A, a Novel 4,5,6,7-Tetrahydroindole, from the Deep-Sea-Derived Actinomycete Microbacterium sp. MCCC 1A11207
    Marine Drugs, 2017
    Co-Authors: Ting-ting Zhou, Gai-yun Zhang, Xian-wen Yang

    Abstract:

    A novel indole, microindolinone A (1), was isolated from a deep-sea-derived actinomycete Microbacterium sp. MCCC 1A11207, together with 18 known compounds (2–19). By detailed analysis of the 1H, 13C, HSQC, COSY, HMBC, high resolution electron spray ionization mass spectrum (HRESIMS), and circular dichroism (CD) data, the absolute configuration of 1 was elucidated as 5R-hydroxy-4,5,6,7-tetrahydroindole-4-one. It is noteworthy that 1 is the second example of a saturated indole isolated from nature.

  • Microindolinone A, a Novel 4,5,6,7-Tetrahydroindole, from the Deep-Sea-Derived Actinomycete Microbacterium sp. MCCC 1A11207
    , 2017
    Co-Authors: Ting-ting Zhou, Gai-yun Zhang, Xian-wen Yang

    Abstract:

    A novel indole, microindolinone A (1), was isolated from a deep-sea-derived actinomycete Microbacterium sp. MCCC 1A11207, together with 18 known compounds (2–19). By detailed analysis of the 1H, 13C, HSQC, COSY, HMBC, HRESIMS, and CD data, the absolute configuration of 1 was elucidated as 5R-hydroxy-4,5,6,7-tetrahydroindole-4-one. Noteworthily, 1 is the second example of a saturated indole isolated from nature.

Julie C. Wilson – 3rd expert on this subject based on the ideXlab platform

  • Peak fitting in 2D ^1H–^13C HSQC NMR spectra for metabolomic studies
    Metabolomics, 2010
    Co-Authors: James S. Mckenzie, Adrian J. Charlton, James A. Donarski, Alan D. Macnicoll, Julie C. Wilson

    Abstract:

    A modified Lorentzian distribution function is used to model peaks in two-dimensional (2D) ^1H–^13C heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance (NMR) spectra. The model fit is used to determine accurate chemical shifts from genuine signals in complex metabolite mixtures such as blood. The algorithm can be used to extract features from a set of spectra from different samples for exploratory metabolomics. First a reference spectrum is created in which the peak intensities are given by the median value over all samples at each point in the 2D spectra so that ^1H–^13C correlations in any spectra are accounted for. The mathematical model provides a footprint for each peak in the reference spectrum, which can be used to bin the ^1H–^13C correlations in each HSQC spectrum. The binned intensities are then used as variables in multivariate analyses and those found to be discriminatory are rapidly identified by cross referencing the chemical shifts of the bins with a database of ^13C and ^1H chemical shift correlations from known metabolites.