Metabolite mapping by consecutive nanostructure and silver-assisted mass spectrometry imaging on tissue sections
Metabolite mapping by consecutive nanostructure and silver-assisted mass spectrometry imaging on tissue sections
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DOI：
10.1002/rcm.7869
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发表时间：
2017-06-30
影响因子：
2
通讯作者：
Voelcker, N. H.
中科院分区：
文献类型：
--
作者：
Gustafsson, O. J. R.;Guinan, T. M.;Voelcker, N. H.
基本原理：基于纳米结构的质谱成像（MSI）是用于小分子的分子成像的有前途的技术，而没有在基质辅助分子成像方法中通常遇到的复杂化学背景。在这里，我们已经增强了这些表面与银（Ag），以提供第二层的MSI数据从一个单一的samples.METHODS：MSI数据通过应用激光解吸/电离质谱法获得的生物样品上的解吸/电离硅（DIOS）基板上的印记。在初始分析之后，将超薄Ag层覆盖在上，随后进行MSI分析（Ag-DIOS MSI）。这种方法首先被证明用于指纹小分子，包括环境污染物和皮脂成分。随后，这种双峰方法被翻译为脂质和代谢物在前胃部分从6-bromoisatin chemoprotative小鼠model.RESULTS：DIOS MSI允许映射的常见离子的指纹，以及6-bromoisatin代谢物和脂质在小鼠前胃。此外，DIOS MSI还得到了银可加合脂质（例如指纹中的蜡酯和小鼠前胃中的胆固醇）的Ag-DIOS MSI的补充。6-溴靛玉红的胃肠道酸缩合产物，如本文所述的6，6 '-二溴靛玉红，分离和表征非常具有挑战性。通过重新分析相同的组织印记，这种代谢物很容易被DIOS检测到，置于组织特异性空间背景中，随后与使用Ag-DIOS MSI获得的额外脂质分布重叠。将代谢物和脂质类置于组织特异性环境中的能力使得这种新方法适合于MSI分析，其中从相同样品收集额外信息使资源利用最大化，并且还最大化注释的小分子的数量，特别是对于通常用传统平台检测不到的代谢物。版权所有（C）2017约翰威利父子有限公司
RATIONALE: Nanostructure-based mass spectrometry imaging (MSI) is a promising technology for molecular imaging of small molecules, without the complex chemical background typically encountered in matrix-assisted molecular imaging approaches. Here, we have enhanced these surfaces with silver (Ag) to provide a second tier of MSI data from a single sample.METHODS: MSI data was acquired through the application of laser desorption/ionization mass spectrometry to biological samples imprinted onto desorption/ionization on silicon (DIOS) substrates. Following initial analysis, ultra-thin Ag layers were overlaid onto the followed by MSI analysis (Ag-DIOS MSI). This approach was first demonstrated for fingermark small molecules including environmental contaminants and sebum components. Subsequently, this bimodal method was translated to lipids and metabolites in fore-stomach sections from a 6-bromoisatin chemopreventative murine mouse model.RESULTS: DIOS MSI allowed mapping of common ions in fingermarks as well as 6-bromoisatin metabolites and lipids in murine fore-stomach. Furthermore, DIOS MSI was complemented by the Ag-DIOS MSI of Ag-adductable lipids such as wax esters in fingermarks and cholesterol in murine fore-stomach. Gastrointestinal acid condensation products of 6-bromoisatin, such as the 6,6'-dibromoindirubin mapped herein, are very challenging to isolate and characterize. By re-analyzing the same tissue imprints, this metabolite was readily detected by DIOS, placed in a tissue-specific spatial context, and subsequently overlaid with additional lipid distributions acquired using Ag-DIOS MSI.CONCLUSIONS: The ability to place metabolite and lipid classes in a tissue-specific context makes this novel method suited to MSI analyses where the collection of additional information from the same sample maximises resource use, and also maximises the number of annotated small molecules, in particular for metabolites that are typically undetectable with traditional platforms. Copyright (C) 2017 John Wiley & Sons, Ltd.