Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis
Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis
复制标题
主成分分析引导下的成像质谱法对生化组织成分的前瞻性探索
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
E. Waelkens
中科院分区：
文献类型：
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作者：
R. V. D. Plas;Fabian Ojeda;M. Dewil;L. Bosch;B. Moor;E. Waelkens
基于MALDI的成像质谱学(IMS)是一种分析技术，它为研究有机组织中包括蛋白质和多肽在内的生物分子的空间分布提供了机会。IMS测量分布在有机组织切片上的大量质谱图，并保留这些测量的绝对空间位置以供分析和成像。经典的IMS成像方法，产生单变量离子图像，不适合作为前瞻性研究的第一步，因为没有先验的分子目标质量可以公式。主要原因是IMS数据的大小和多变量性质。在本文中，我们描述了主成分分析作为一种多变量预分析工具的使用，以确定数据中主要的空间和质量相关趋势，并指导后续的进一步分析。首先，给出了IMS主成分分析的概念性概述。然后，我们在从标准对照大鼠的脊髓横切面收集的IMS数据集上演示了该方法。
MALDI-based Imaging Mass Spectrometry (IMS) is an analytical technique that provides the opportunity to study the spatial distribution of biomolecules including proteins and peptides in organic tissue. IMS measures a large collection of mass spectra spread out over an organic tissue section and retains the absolute spatial location of these measurements for analysis and imaging. The classical approach to IMS imaging, producing univariate ion images, is not well suited as a first step in a prospective study where no a priori molecular target mass can be formulated. The main reasons for this are the size and the multivariate nature of IMS data. In this paper we describe the use of principal component analysis as a multivariate pre-analysis tool, to identify the major spatial and mass-related trends in the data and to guide further analysis downstream. First, a conceptual overview of principal component analysis for IMS is given. Then, we demonstrate the approach on an IMS data set collected from a transversal section of the spinal cord of a standard control rat.