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Systematic Internal Standard Selection for Capillary Liquid Chromatography–Mass Spectrometry Time Normalization to Facilitate Serum Proteomics

机译:毛细管液相色谱-质谱联用系统的内标选择以促进血清蛋白质组学的时间标准化

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摘要

Because blood interacts with almost all tissues of the body, it is likely that changes in the overall health of an organism will be reflected in the quantities of specific serum peptides and proteins, making them biomarkers. Due to the complexity of serum, pre-analytical sample simplification and separation are needed prior to mass spectrometric analysis. Use of a reverse-phase capillary column coupled to a mass spectrometer allows for separation and analysis of serum as part of efforts to discover biomarkers. Even after sample simplification by organic solvent precipitation, data files for a single sample typically exceed one gigabyte, making it difficult to analyze complete serum mass spectrometry profiles with currently available software. However, with adequate safeguards, it appears possible to consider portions of mass spectra to find differences in peak intensities between clinical comparison groups visually. To facilitate this, the elution profile was divided into 2-min intervals in which mass spectrometry data were averaged. This required that molecular species had defined reproducible elution times. Given liquid chromatography coupled to mass spectrometry variation, misalignment of elution times of individual peaks occurred often. Hence, internal time controls were identified within each window and used for elution time normalization. This significantly reduced variability in data. This approach allowed for peak alignment across samples, improving biomarker discovery.
机译:由于血液几乎与人体的所有组织相互作用,因此有机体整体健康状况的变化很可能会反映在特定血清肽和蛋白质的数量上,使其成为生物标记。由于血清的复杂性,需要在质谱分析之前进行分析前样品的简化和分离。反相毛细管色谱柱与质谱仪的结合使用,可以分离和分析血清,这是发现生物标志物的努力的一部分。即使通过有机溶剂沉淀简化了样品后,单个样品的数据文件通常也超过了1 GB,这使得很难使用当前可用的软件来分析完整的血清质谱图。但是,有了足够的保护措施,似乎可以考虑质谱图的各个部分,以便从视觉上发现临床比较组之间的峰强度差异。为了促进这一点,将洗脱曲线分为2分钟间隔,在该间隔中对质谱数据进行平均。这要求分子种类具有可重复的洗脱时间。在液相色谱结合质谱变化的情况下,各个峰的洗脱时间经常发生错位。因此,在每个窗口内都可以识别内部时间控件,并将其用于洗脱时间标准化。这大大减少了数据的可变性。这种方法可实现样品之间的峰比对,从而改善生物标志物的发现。

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