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基于代谢组学的含氮代谢物的自上而下分析方法。

Top-down Metabolomic Approaches for Nitrogen-Containing Metabolites.

机构信息

RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan.

Graduate School of Pharmaceutical Sciences, Chiba University , 1-8-1 Inohana, Chuo-ku, Chiba 260-8675, Japan.

出版信息

Anal Chem. 2017 Mar 7;89(5):2698-2703. doi: 10.1021/acs.analchem.6b04163. Epub 2017 Feb 22.

Abstract

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 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-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-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-labeled IMS data showed the same spatial accumulation patterns of a non- and N-labeled metabolite in the organs, showing that top-down analysis can be performed even in IMS analysis.

摘要

简化揭示含杂原子代谢物及其生物合成基因的过程对于整合代谢组学研究至关重要。这些代谢物因其潜在的药物活性而成为特别的研究目标。通过使用傅里叶变换离子回旋共振质谱(FTICR-MS)仪器,我们使用超高分辨率液相色谱-质谱(LC-MS)、高分辨率基质辅助激光解吸/电离(MALDI)和高分辨率成像质谱(IMS)进行自上而下的靶向代谢组学分析,并对含氮代谢物进行氮标记。在这项研究中,我们从几种癌症药物的来源药用植物长春花中高效提取已知和未知的化学物质和空间信息。超高分辨率 LC-MS 分析表明,使用非标记和 N 标记的长春花的花瓣、花梗、叶片、叶柄、茎和根鉴定了 65 种 N-代谢物的分子公式。高分辨率 MALDI 分析表明,使用非标记和 N 标记的长春花的花瓣、叶片和茎鉴定了 64 种 N-代谢物的分子公式。使用数据库中存储的分子公式进行的化学分配鉴定了已知和未知的代谢物。使用分配的代谢物进行的比较分析表明,大多数器官特异性离子来自未知的 N-代谢物。高分辨率 IMS 分析使用长春花的芽、叶、茎和根表征了 32 种 N-代谢物的空间积累模式。使用非标记和 N 标记的 IMS 数据进行的比较分析表明,器官中存在非标记和 N 标记代谢物的相同空间积累模式,表明即使在 IMS 分析中也可以进行自上而下的分析。

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