4.8 Article

Top-down Metabolomic Approaches for Nitrogen-Containing Metabolites

Journal

ANALYTICAL CHEMISTRY
Volume 89, Issue 5, Pages 2698-2703

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.6b04163

Keywords

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Funding

  1. Strategic International Collaborative Research Program (SICORP), Japan Science and Technology Agency
  2. Japan Advanced Plant Science Network

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Streamlining the processes that reveal heteroatom containing metabolites and their biosynthetic genes is essential in integrated metabolomics studies. These metabolites are especially targeted for their potential pharmaceutical activities. By using a Fourier-transform ion cyclotron resonance mass spectrometry (FTICR MS) instrument, we provide top-down targeted metabolomic analyses using ultrahigh-resolution liquid chromatography mass spectrometry (LC-MS), high-resolution matrix-assisted laser desorption/ionization (MALDI), and high-resolution imaging mass spectrometry (IMS) with N-15 labeling of nitrogen-containing metabolites. In this study, we efficiently extract known and unknown chemicals and spatial information from the medicinal plant Catharanthus roseus, which sources several cancer drugs. The ultrahigh-resolution LC MS analysis showed that the molecular formula of 65 N-metabolites were identified using the petals, peduncles, leaves, petioles, stems, and roots of the non- and N-15 labeled Catharanthus plants. The high resolution MALDI analysis showed the molecular formula of 64 N-metabolites using the petals, leaves, and stems of the non- and N-15-labeled Catharanthus. The chemical assignments using molecular formulas stored in databases identified known and unknown metabolites. The comparative analyses using the assigned metabolites revealed that most of the organ-specific ions are derived from unknown N-metabolites. The high-resolution IMS analysis characterized the spatial accumulation patterns of 32 N-metabolites using the buds, leaves, stems, and roots in Catharanthus. The comparative analysis using the non- and N-15-labeled IMS data showed the same spatial accumulation patterns of a non-and N-15-labeled metabolite in the organs, showing that top-down analysis can be performed even in IMS analysis.

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