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Variable-velocity traveling-wave ion mobility separation enhances peak capacity for data-independent acquisition proteomics

机译:速度可变的行波离子淌度分离增强了独立于数据的采集蛋白质组学的峰容量

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摘要

High mass accuracy, data-dependent acquisition is the current standard method in mass spectrometry-based peptide annotation and quantification. In high complexity samples, limited instrument scan speeds often result in under-sampling. In contrast, all-ion data-independent acquisition methods bypass precursor selection, alternating high and low collision energies to analyze product and precursor ions across wide mass ranges. Despite capturing data for all events, peptide annotation is limited by inadequate alignment algorithms or overlapping ions. Ion mobility separation can add an orthogonal analytical dimension, reducing ion interference to improve reproducibility, peak capacity, and peptide identifications to rival modern hybrid quadrupole orbitrap systems. Despite the advantages of ion mobility separation in complex proteomics analyses, there has been no quantitative measure of ion mobility resolution in a complex proteomic sample. Here we present TWIMExtract, a data extraction tool to export defined slices of liquid chromatography/ion mobility/mass spectrometry (LC-IM-MS) data, providing a route to quantify ion mobility resolution from a commercial traveling-wave ion mobility time-of-flight mass spectrometer. Using standard traveling wave ion mobility parameters (600 m / s, 40 V), 90% of the annotated peptides occupied just 23% of the ion mobility drift space, yet inclusion of ion mobility nearly doubled the overall peak capacity. Relative to fixed velocity traveling wave ion mobility settings, ramping the traveling wave velocity increased drift space occupancy, amplifying resolution by 16%, peak capacity by nearly 50%, and peptide/protein identifications by 40%. Overall, variable-velocity traveling wave ion mobility-mass spectrometry significantly enhances proteomics analysis in all-ion fragmentation acquisition.
机译:高质量准确,数据依赖的采集是基于质谱的肽注释和定量分析的当前标准方法。在高复杂度的样本中,有限的仪器扫描速度通常会导致欠采样。相反,全离子数据无关的采集方法绕过了前驱物选择,交替了高和低碰撞能量,以分析宽质量范围内的产物和前驱物离子。尽管捕获了所有事件的数据,但是肽标注受到不充分的比对算法或离子重叠的限制。离子淌度分离可以增加正交分析的维数,减少离子干扰以提高重现性,峰容量和肽段鉴定,可与现代的混合四极轨道飞行器系统媲美。尽管在复杂蛋白质组学分析中离子迁移率分离具有优势,但是在复杂蛋白质组学样品中还没有定量测量离子迁移率分辨率的方法。在这里,我们介绍TWIMExtract,这是一种数据提取工具,用于导出液相色谱/离子迁移率/质谱(LC-IM-MS)数据的定义切片,从而提供了一种从商业行波离子迁移率时间量化离子迁移率分辨率的途径飞行质谱仪。使用标准行波离子迁移率参数(600 m / s,40 V),90%的带注释肽段仅占据离子迁移率漂移空间的23%,而包含离子迁移率几乎使总峰容量提高了一倍。相对于固定速度的行波离子迁移率设置,提高行波速度可增加漂移空间的占用率,将分辨率提高16%,将峰容量提高近50%,并将肽/蛋白质鉴定提高40%。总体而言,可变速度行波离子迁移率质谱技术显着增强了全离子碎片采集中的蛋白质组学分析。

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