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A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen

机译:与SILAC相比,MS / MS TIC的无标记定量方法和蛋白质组学屏幕中的光谱计数

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摘要

In order to assess the biological function of proteins and their modifications for understanding signaling mechanisms within cells as well as specific biomarkers to disease, it is important that quantitative information be obtained under different experimental conditions. Stable isotope labeling is a powerful method for accurately determining changes in the levels of proteins and PTMs; however, isotope labeling experiments suffer from limited dynamic range resulting in signal change ratios of less than similar to 20:1 using most commercial mass spectrometers. Label-free approaches to relative quantification in proteomics such as spectral counting have gained popularity since no additional chemistries are needed. Here, we show a label-free method for relative quantification based on the TIC from peptide MS/MS spectra collected from data-dependent runs can be used effectively as a quantitative measure and expands the dynamic range over isotope labeling experiments allowing for abundance differences up to similar to 60:1 in a screen for proteins that bind to phosphotyrosine residues.
机译:为了评估蛋白质的生物学功能及其修饰以了解细胞内的信号传导机制以及疾病的特定生物标记,重要的是在不同的实验条件下获得定量信息。稳定的同位素标记是一种准确确定蛋白质和PTM水平变化的有力方法。但是,同位素标记实验的动态范围有限,导致大多数商用质谱仪的信号变化率小于20:1。由于不需要额外的化学方法,蛋白质组学中相对定量的无标记方法(如光谱计数)已获得普及。在这里,我们展示了一种基于TIC的无标记物相对定量方法,该方法是从依赖于数据的运行中收集的肽段MS / MS光谱中的TIC进行的,可以有效地用作定量方法,并扩大了同位素标记实验的动态范围,从而允许了丰度差异在筛选与磷酸酪氨酸残基结合的蛋白质时,类似于60:1。

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