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An Efficient Approach to Evaluate Reporter Ion Behavior from MALDI-MS/MS Data for Quantification Studies using Isobaric Tags

机译:使用等压标记从MALDI-MS / MS数据评估记者离子行为的定量方法的有效方法

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摘要

Protein quantification, identification and abundance determination are important aspects of proteome characterization and are crucial in understanding biological mechanisms and human diseases. Different strategies are available to quantify proteins using mass spectrometric detection, and most are performed at the peptide level and include both targeted and un-targeted methodologies. Discovery-based or un-targeted approaches oftentimes use covalent tagging strategies (i.e., iTRAQ®, TMT™) where reporter ion signals collected in the tandem MS experiment are used for quantification. Herein we investigate the behavior of the iTRAQ 8-plex chemistry using MALDI-TOF/TOF instrumentation. The experimental design and data analysis approach described is simple and straightforward, which allows researchers to optimize data collection and proper analysis within a laboratory. iTRAQ reporter ion signals were normalized within each spectrum to remove peptide biases. An advantage of this approach is that missing reporter ion values can be accepted for purposes of protein identification and quantification with the need for ANOVA analysis. We investigate the distribution of reporter ion peak areas in an equimolar system and a mock biological system and provide recommendations for establishing fold-change cutoff values at the peptide level for iTRAQ datasets. These data provide a unique dataset available to the community for informatics training and analysis.
机译:蛋白质定量,鉴定和丰度测定是蛋白质组表征的重要方面,对于理解生物学机制和人类疾病至关重要。使用质谱检测可以使用不同的策略对蛋白质进行定量,大多数策略是在肽水平上进行的,包括靶向和非靶向方法。基于发现或非目标的方法通常使用共价标记策略(即,TMT™),其中将串联MS实验中收集的报告离子信号用于定量。本文中,我们使用MALDI-TOF / TOF仪器研究了iTRAQ 8重化学的行为。所描述的实验设计和数据分析方法简单明了,使研究人员可以在实验室内优化数据收集和适当的分析。在每个光谱中将iTR​​AQ报告离子信号进行归一化以消除肽偏倚。该方法的优点是,可以接受缺失的报告离子值,以进行蛋白质鉴定和定量分析,并需要进行ANOVA分析。我们研究了等摩尔系统和模拟生物系统中报告离子峰面积的分布,并为建立iTRAQ数据集在肽水平上的倍数变化临界值提供了建议。这些数据为社区提供了用于信息学培训和分析的独特数据集。

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