Setou Mitsutoshi, Kurabe Nobuya
Department of Molecular Anatomy, Molecular Imaging Frontier Research Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan.
J Electron Microsc (Tokyo). 2011;60(1):47-56. doi: 10.1093/jmicro/dfq079. Epub 2010 Nov 24.
Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a technique that localizes the spatial distribution of molecules and identifies structures by their molecular mass signatures. Recently, the resolution of MALDI-IMS has been up to microscopic level. MALDI-IMS does not need either separation or purification procedures of target molecules and enables us to observe the localization of numerous molecules simultaneously. In particular, MALDI-MS time-of-flight/time-of-flight (TOF/TOF) is one of the instruments widely adopted for IMS, which allows the analysis of numerous biomolecules ranging over wide molecular weights. Even in a single data point, hundreds and thousands of mass peaks can be detected, and this makes the resulting mass spectrum extremely complex. This enormous volume of IMS data has driven the development of statistical approaches, especially multivariate analyses. By employing these approaches, researchers can figure out the important characteristics of their IMS data sets. The establishment of automatic molecular identification procedures involving MS(2) analysis, also known as MS/MS, performed by tandem mass spectrometry to obtain the information about molecular structure and composition, and database search available on the web is an important task for the near future. In this review, we introduce IMS-especially MALDI-IMS-with reference to its applications in biomolecular analyses, the workflow of IMS, the principle of IMS and other related technologies.
基质辅助激光解吸/电离(MALDI)成像质谱(IMS)是一种通过分子质量特征来定位分子空间分布并识别结构的技术。最近,MALDI-IMS的分辨率已达到微观水平。MALDI-IMS不需要对目标分子进行分离或纯化步骤,并且能够使我们同时观察众多分子的定位。特别是,MALDI-质谱飞行时间/飞行时间(TOF/TOF)是广泛用于IMS的仪器之一,它允许分析分子量范围广泛的众多生物分子。即使在单个数据点,也可以检测到成百上千个质量峰,这使得所得质谱极其复杂。如此大量的IMS数据推动了统计方法的发展,尤其是多变量分析。通过采用这些方法,研究人员可以找出其IMS数据集的重要特征。建立涉及串联质谱进行的MS(2)分析(也称为MS/MS)以获取有关分子结构和组成信息的自动分子识别程序以及网络上可用的数据库搜索是近期的一项重要任务。在本综述中,我们介绍IMS——尤其是MALDI-IMS——及其在生物分子分析中的应用、IMS的工作流程、IMS的原理和其他相关技术。