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首页> 外文期刊>European journal of mass spectrometry >Isotopic deconvolution of matrix-assisted laser desorption/ionization mass spectra for substance-class specific analysis of complex samples
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Isotopic deconvolution of matrix-assisted laser desorption/ionization mass spectra for substance-class specific analysis of complex samples

机译:基质辅助激光解吸/电离质谱的同位素解卷积,用于复杂样品的物质类特定分析

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摘要

The theoretical isotopic pattern and its variance was determined for peptides and other substance classes. The mass-dependent mean pattern was used to isotopically deconvolute matrix-assisted laser desorption/ionization (MALDI) spectra and MALDI post-source decay (PSD) spectra from complex peptide samples. Application of a slightly modified algorithm to electrospray ionization spectra will be described in a later paper. The method was found to be especially useful in suppressing noise and signals from other substance classes, and in separating overlapping isotopic patterns in highly complex samples. The method can be used for automatic determination of monoisotopic masses in, for example, proteomics work and the improvement of graphical quality and clarity in presentation and manual evaluation of mass spectra. A fast computer algorithm was developed to demonstrate the efficiency of the method in data filtering and spectra deconvolution for the case of MHC (major histocompatibility complex) peptide identification and PSD analysis. The method has some advantages over other approaches, especially due to its simplicity, universality and processing speed.
机译:确定了肽和其他物质类别的理论同位素模式及其方差。质量依赖的均值模式用于对复杂肽样品进行同位素解卷积的基质辅助激光解吸/电离(MALDI)光谱和MALDI源后衰减(PSD)光谱。稍加修改的算法在电喷雾电离光谱中的应用将在以后的文章中进行介绍。发现该方法在抑制其他物质类别的噪声和信号以及分离高度复杂样品中的重叠同位素模式方面特别有用。该方法可用于蛋白质组学工作中单同位素质量的自动确定,以及质谱图的表示和手动评估的图形质量和清晰度的提高。开发了一种快速的计算机算法,以证明该方法在MHC(主要组织相容性复合物)肽鉴定和PSD分析情况下在数据过滤和光谱反卷积中的效率。该方法相对于其他方法具有一些优势,特别是由于其简单性,通用性和处理速度。

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