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首页> 外文期刊>Journal of proteome research >Evaluation of Data-Dependent and -Independent Mass Spectrometric Workflows for Sensitive Quantification of Proteins and Phosphorylation Sites
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Evaluation of Data-Dependent and -Independent Mass Spectrometric Workflows for Sensitive Quantification of Proteins and Phosphorylation Sites

机译:数据依赖和独立质谱工作流程的评估,用于蛋白质和磷酸化位点的敏感定量

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In recent years, directed and, particularly, targeted mass spectrometric workflows have gained momentum as alternative techniques to conventional data-dependent acquisition (DDA) LC-MS/MS approaches. By focusing on specific peptide species, these methods allow hypothesis-driven analysis of selected proteins of interest, and they have been shown to be suited to monitor low-abundance proteins within complex mixtures. Despite their growing popularity, no study has systematically evaluated these various MS strategies in terms of quantification, detection, and identification limits when they are applied to complex samples. Here, we systematically compared the performance of conventional DDA, directed, and various targeted MS approaches on two different instruments, namely, a hybrid linear ion trap-Orbitrap and a triple quadrupole instrument. We assessed the limits of identification, quantification, and detection for each method by analyzing a dilution series of 20 unmodified and 10 phosphorylated synthetic heavy-labeled reference peptides, respectively, covering 6 orders of magnitude in peptide concentration with and without a complex human cell digest background. We found that all methods performed similarly in the absence of background proteins; however, when analyzing whole-cell lysates, targeted methods were at least 5-10 times more sensitive than that of the directed or DDA method. In particular, higher stage fragmentation (MS3) of the neutral loss peak using a linear ion trap increased the dynamic quantification range of some phosphopeptides up to 100-fold. We illustrate the power of this targeted MS3 approach for phosphopeptide monitoring by successfully quantifying nine phosphorylation sites of the kinetochore and spindle assembly checkpoint component Mad1 over different cell cycle states from nonenriched pull-down samples.
机译:近年来,定向,特别是针对性的质谱工作流程作为传统数据依赖采集(DDA)LC-MS / MS方法的替代技术而获得发展。通过专注于特定的肽种类,这些方法可以对选定的目标蛋白质进行假设驱动的分析,并且已被证明适用于监测复杂混合物中的低丰度蛋白质。尽管它们越来越受欢迎,但是当将它们应用于复杂样品时,没有研究从定量,检测和鉴定极限方面系统地评估这些各种质谱策略。在这里,我们系统地比较了传统DDA,定向和各种目标MS方法在两种不同仪器上的性能,这两种仪器分别是混合线性离子阱Orbitrap和三重四极杆仪器。我们通过分析20种未修饰的和10种磷酸化的合成的重标记参考肽的稀释系列分别评估了每种方法的鉴定,定量和检测的极限,这些稀释肽在有和没有复杂人细胞消化的情况下覆盖6个数量级的肽浓度背景。我们发现,在没有背景蛋白的情况下,所有方法的执行情况相似。但是,在分析全细胞裂解液时,靶向方法的灵敏度至少是定向或DDA方法的5-10倍。特别是,使用线性离子阱对中性损失峰进行更高级的片段化(MS3),可以将某些磷酸肽的动态定量范围提高到100倍。我们通过从未富集的下拉样品中成功地定量了九个线粒体和纺锤体装配检查点组件Mad1的9个磷酸化位点,说明了这种靶向MS3方法用于磷酸肽监测的力量。

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