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Chapter 4: Quantitative Shotgun Proteomics with Data-Independent Acquisition and Traveling Wave Ion Mobility Spectrometry: A Versatile Tool in the Life Sciences

机译:第4章:具有数据独立采集和行波离子迁移谱法的定量Shot弹枪蛋白质组学:生命科学中的多功能工具

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摘要

Data-independent acquisition (DIA) implemented in a method called MS~E can be performed in a massively parallel, time-based schedule rather than by sampling masses sequentially in shotgun proteomics. In MS~E alternating low and high energy spectra are collected across the full mass range. This approach has been very successful and stimulated the development of variants modeled after the MS~E protocol, but over narrower mass ranges. The massively parallel MS~E and other DIA methodologies have enabled effective label-free quantitation methods that have been applied to a wide variety of samples including affinity pulldowns and studies of cells, tissues, and clinical samples. Another complementary technology matches accurate mass and retention times of precursor ions across multiple chromato-graphic runs. This further enhances the impact of MS~E in counteracting the stochastic nature of mass spectrometry as applied in proteomics. Otherwise significant amounts of data in typical large-scale protein profiling experiments are missing. A variety of software packages perform this function similar in concept to matching of accurate mass tags. Another enhancement of this method involves a variation of MS~E coupled with traveling wave ion mobility spectrometry to provide separations of peptides based on cross-sectional area and shape in addition to mass/charge (m/z) ratio. Such a two-dimensional separation in the gas phase considerably increases protein coverage as well as typically a doubling of the number of proteins detected.
机译:可以以大规模并行,基于时间的计划执行以MS_E方法实现的数据独立获取(DIA),而不是通过shot弹枪蛋白质组学顺序采样质量。在MS〜E中,在整个质量范围内交替收集低能谱和高能谱。这种方法已经非常成功,并刺激了按照MS〜E协议建模但在更窄的质量范围内建模的变体的开发。大规模并行的MS〜E方法和其他DIA方法已经实现了有效的无标记定量方法,该方法已应用于多种样品,包括亲和力下拉列表以及对细胞,组织和临床样品的研究。另一项互补技术可在多次色谱运行中匹配准确的母离子质量和保留时间。这进一步增强了MS〜E在抵消蛋白质组学中应用的质谱的随机性方面的影响。否则,将丢失典型大规模蛋白质谱分析实验中的大量数据。各种软件包执行此功能的概念类似于精确质量标签的匹配。该方法的另一项改进涉及MS_E的变化,结合行波离子迁移率光谱分析,除质量/电荷(m / z)比率外,还基于横截面积和形状提供了肽的分离。气相中的这种二维分离极大地增加了蛋白质覆盖率,并且通常将检测到的蛋白质数量增加了一倍。

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