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迈向代谢组学规模的质谱成像:通过多种组织上化学修饰增加代谢物覆盖范围

Toward Mass Spectrometry Imaging in the Metabolomics Scale: Increasing Metabolic Coverage Through Multiple On-Tissue Chemical Modifications.

作者信息

Dueñas Maria Emilia, Larson Evan A, Lee Young Jin

机构信息

Department of Chemistry, Iowa State University, Ames, IA, United States.

出版信息

Front Plant Sci. 2019 Jul 12;10:860. doi: 10.3389/fpls.2019.00860. eCollection 2019.

Abstract

Exploring the metabolic differences directly on tissues is essential for the comprehensive understanding of how multicellular organisms function. Mass spectrometry imaging (MSI) is an attractive technique toward this goal; however, MSI in metabolomics scale has been hindered by multiple limitations. This is most notable for single cell level high-spatial resolution imaging because of the limited number of molecules in small sampling size and the low ionization yields of many metabolites. Several on-tissue chemical derivatization approaches have been reported to increase MSI signals of targeted compounds, especially in matrix-assisted laser desorption/ionization (MALDI)-MSI. Herein, we adopt a combination of chemical derivatization reactions, to selectively enhance metabolite signals of a specific functional group for each consecutive tissue section. Three well-known on-tissue derivatization methods were used as a proof of concept experiment: coniferyl aldehyde for primary amines, Girard's reagent T for carbonyl groups, and 2-picolylamine for carboxylic acids. This strategy was applied to the cross-sections of leaves and roots from two different maize genotypes (B73 and Mo17), and enabled the detection of over six hundred new unique metabolite features compared to without modification. Statistical analysis indicated quantitative variation between metabolites in the tissue sections, while MS images revealed differences in localization of these metabolites. Combined, this untargeted approach facilitated the visualization of various classes of compounds, demonstrating the potential for untargeted MSI in the metabolomics scale.

摘要

直接在组织上探索代谢差异对于全面理解多细胞生物的功能至关重要。质谱成像(MSI)是实现这一目标的一项有吸引力的技术;然而,代谢组学规模的MSI受到多种限制的阻碍。这在单细胞水平的高空间分辨率成像中最为明显,因为小采样尺寸中的分子数量有限,且许多代谢物的电离产率较低。据报道,几种组织上的化学衍生化方法可增加目标化合物的MSI信号,尤其是在基质辅助激光解吸/电离(MALDI)-MSI中。在此,我们采用化学衍生化反应的组合,为每个连续的组织切片选择性增强特定官能团的代谢物信号。使用三种著名的组织上衍生化方法作为概念验证实验:用于伯胺的松柏醛、用于羰基的吉拉德试剂T和用于羧酸的2-吡啶甲胺。该策略应用于两种不同玉米基因型(B73和Mo17)的叶片和根的横截面,与未修饰相比,能够检测到六百多个新的独特代谢物特征。统计分析表明组织切片中代谢物之间存在定量差异,而MS图像揭示了这些代谢物在定位上的差异。综合起来,这种非靶向方法有助于各类化合物的可视化,证明了代谢组学规模中非靶向MSI的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ba/6639774/70bab5670542/fpls-10-00860-g001.jpg

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