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Spatially resolved absolute quantitation in thin tissue by mass spectrometry
Analytical and Bioanalytical Chemistry ( IF 3.8 ) Pub Date : 2020-11-02 , DOI: 10.1007/s00216-020-02964-3
Vilmos Kertesz 1 , John F Cahill 1
Affiliation  

Mass spectrometry (MS) has become the de facto tool for routine quantitative analysis of biomolecules. MS is increasingly being used to reveal the spatial distribution of proteins, metabolites, and pharmaceuticals in tissue and interest in this area has led to a number of novel spatially resolved MS technologies. Most spatially resolved MS measurements are qualitative in nature due to a myriad of potential biases, such as sample heterogeneity, sampling artifacts, and ionization effects. As applications of spatially resolved MS in the pharmacological and clinical fields increase, demand has become high for quantitative MS imaging and profiling data. As a result, several varied technologies now exist that provide differing levels of spatial and quantitative information. This review provides an overview of MS profiling and imaging technologies that have demonstrated quantitative analysis from tissue. Focus is given on the fundamental processes affecting quantitative analysis in an array of MS imaging and profiling technologies and methods to address these biases.

Graphical abstract



中文翻译:

质谱分析薄组织中的空间分辨绝对定量

质谱(MS)已成为常规常规生物分子定量分析的工具。MS越来越多地用于揭示组织中蛋白质,代谢物和药物的空间分布,对此领域的关注导致了许多新颖的空间分辨MS技术。由于存在大量潜在的偏倚,例如样品异质性,采样伪像和电离效应,大多数空间分辨MS测量本质上是定性的。随着空间分辨质谱在药理学和临床领域中的应用不断增加,对定量MS成像和分析数据的需求也越来越高。结果,现在存在几种提供不同水平的空间和定量信息的变化技术。这篇综述概述了已从组织中进行定量分析的质谱分析和成像技术。重点介绍了影响一系列MS成像和性能分析技术和方法以解决这些偏差的定量分析的基本过程。

图形概要

更新日期:2020-11-03
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