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An optimization of the LC-MS/MS workflow for deep proteome profiling on an Orbitrap Fusion

机译:LC-MS / MS工作流程的优化,可在Orbitrap Fusion上进行深度蛋白质组分析

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The development of high-resolution mass spectrometers (MS) has greatly advanced the system-wide proteomic profiling and protein post-translational modification (PTM) studies. However, in contrast to current genomic sequencing technologies, huge time cost and laborious workload are the major bottlenecks of current MS-based proteomic approaches for large-scale in-depth proteome sequencing of biological samples. Here we present a stepwise optimization of MS parameters and an off-line reverse phase HPLC fractionation method in the first tribrid MS platformOrbitrap Fusion, which integrates quadrupole, ultrahigh field Orbitrap and linear ion trap mass analyzers. With off-line high pH separation, we identified more than 5000 proteins using a regular short reverse phase C18 column (10 cm ?— 75 ??m, 3 ??m particle size) in a single one hour LC-MS run and 8493 proteins with 6 orders of magnitude of dynamic range in only 10 hour MS running time. Our study provided a fast, cost-efficient and amenable method for deep proteomic analysis and quantification of large-scale biological samples. Significantly, this strategy would facilitate the proteomic disease biomarker discovery.
机译:高分辨率质谱仪(MS)的发展极大地推动了全系统的蛋白质组分析和蛋白质翻译后修饰(PTM)研究。但是,与当前的基因组测序技术相比,巨大的时间成本和繁重的工作量是当前基于MS的蛋白质组学方法对生物样品进行大规模深度蛋白质组测序的主要瓶颈。在这里,我们介绍了在第一个三杂交MS平台Orbitrap Fusion中MS参数的逐步优化和离线反相HPLC分级分离方法,该平台集成了四极杆,超高场Orbitrap和线性离子阱质量分析仪。通过离线高pH分离,我们使用常规的短反相C18色谱柱(10 cm?-75?m,粒径3?m)在1小时的LC-MS运行中鉴定了5000多种蛋白质,并且进行了8493在仅10小时的MS运行时间内,具有6个数量级动态范围的蛋白质。我们的研究为大规模蛋白质样品的深度蛋白质组学分析和定量提供了一种快速,经济高效且适宜的方法。重要的是,该策略将促进蛋白质组疾病生物标志物的发现。

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