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未来方向:提高影像质谱技术的可及性。

Going forward: Increasing the accessibility of imaging mass spectrometry.

机构信息

Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands.

FOM Institute AMOLF, Science Park 104, Amsterdam, The Netherlands.

出版信息

J Proteomics. 2012 Aug 30;75(16):5113-5121. doi: 10.1016/j.jprot.2012.05.016. Epub 2012 May 23.

Abstract

The driving force behind the high and increasing popularity of imaging mass spectrometry is its demonstrated potential for the determination of new diagnostic/prognostic biomarkers and its ability to simultaneously trace the distributions of pharmaceuticals and their metabolites in tissues without the need to develop expensive radioactively-labeled analogues. Both of these applications would benefit from standardized methods, for the development of novel MS-based molecular histology tests and governmental-approved MS-based assays for pharmaceutical development. In addition, the broader scientific community would benefit from the increased accessibility of the technique. Currently imaging MS studies are individual endeavors, utilizing the individual expertise and infrastructure of a single laboratory and their immediate collaborators. A wide array of tissue preparation, data acquisition and data analysis techniques has been developed but lacks an international collaborative structure and data sharing capabilities. Such a collaborative framework would enable methodological exchange and detailed comparisons of analytical capabilities, to explore synergies between the different methods and result in the development of robust standardized methods. Here we describe the activities of a new European imaging MS network that will explicitly compare and contrast existing methods to provide best practice guidelines for the entire healthcare research community.

摘要

推动成像质谱技术日益普及的主要动力在于,它已被证实具有确定新的诊断/预后生物标志物的潜力,并且能够在无需开发昂贵的放射性标记类似物的情况下,同时追踪药物及其代谢物在组织中的分布情况。这两种应用都将受益于标准化方法,以便开发新的基于 MS 的分子组织学测试和经政府批准的基于 MS 的药物开发测定法。此外,更广泛的科学界将受益于该技术更容易获得。目前,成像 MS 研究是个人的努力,利用单个实验室及其直接合作者的个人专业知识和基础设施。已经开发出了各种各样的组织准备、数据采集和数据分析技术,但缺乏国际合作结构和数据共享能力。这样的合作框架将能够实现方法学的交流和分析能力的详细比较,探索不同方法之间的协同作用,并最终开发出强大的标准化方法。在这里,我们描述了一个新的欧洲成像 MS 网络的活动,该网络将明确比较和对比现有的方法,为整个医疗保健研究界提供最佳实践指南。

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