首页> 外文会议>American Society for Mass Spectrometry Conference on Mass Spectrometry and Allied Topics >A Comparison of Label-Free Quantitative Technologies: MaxQuant (MS) vs. Skyline (MS) vs. Spectral Counting (MS/MS) vs. Average TIC (MS/MS) vs. Top3 TIC (MS/MS)
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A Comparison of Label-Free Quantitative Technologies: MaxQuant (MS) vs. Skyline (MS) vs. Spectral Counting (MS/MS) vs. Average TIC (MS/MS) vs. Top3 TIC (MS/MS)

机译:无标签定量技术的比较:MaxQuant(MS)与地平线(MS)与光谱计数(MS / MS)与平均TIC(MS / MS)与TOP3 TIC(MS / MS)进行比较

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The proteomics community continues to develop strategies for label-free quantification from shotgun LC-MS/MS experiments but no single technique has emerged as universally acceptable. Researchers use a variety of both MS level quantification (Peak Area) and MS/MS level quantification (Total Ion Current and Spectral Counting) and all have shown both advantages and disadvantages depending upon the application. Here, we examined several different methods of label-free quantification from two 48-human protein mixtures, Universal Protein Standards (UPS1 and UPS2) from Sigma. UPS1 contains equal concentrations and UPS2 contains varying concentrations. We compared the quantitative difference in terms of ratio between UPS2 and UPS1 and assesses the methods showing the highest accuracy.
机译:蛋白质组学界继续开发来自霰弹枪LC-MS / MS实验的无标签定量策略,但没有单一技术出现出普遍接受。研究人员使用多种MS电平量化(峰值区域)和MS / MS电平量化(总离子电流和光谱计数),并且取决于应用,所有这些都显示出优缺点。在这里,我们检查了来自Sigma的两个48人蛋白质混合物,通用蛋白质标准(UPS1和UPS2)的几种不同的无标签定量方法。 UPS1包含等浓度,UPS2含有不同的浓度。我们比较了UPS2和UPS1之间的比例的定量差异,并评估了显示最高精度的方法。

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