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Characterizing ion mobility-mass spectrometry conformation space for the analysis of complex biological samples

机译:表征离子淌度-质谱构象空间用于分析复杂的生物样品

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摘要

The conformation space occupied by different classes of biomolecules measured by ion mobility-mass spectrometry (IM-MS) is described for utility in the characterization of complex biological samples. Although the qualitative separation of different classes of biomolecules on the basis of structure or collision cross section is known, there is relatively little quantitative cross-section information available for species apart from peptides. In this report, collision cross sections are measured for a large suite of biologically salient species, including oligonucleotides (n=96), carbohydrates (n=192), and lipids (n=53), which are compared to reported values for peptides (n= 610). In general, signals for each class are highly correlated, and at a given mass, these correlations result in predicted collision cross sections that increase in the order oligonucleotides<carbohydrates<peptides<lipids. The specific correlations are described by logarithmic regressions, which best approximate the theoretical trend of increasing collision cross section as a function of increasing mass. A statistical treatment of the signals observed within each molecular class suggests that the breadth of conformation space occupied by each class increases in the order lipids<oligonucleotides<peptides<carbohydrates. The utility of conformation space analysis in the direct analysis of complex biological samples is described, both in the context of qualitative molecular class identification and in fine structure examination within a class. The latter is demonstrated in IM-MS separations of isobaric oligonucleotides, which are interpreted by molecular dynamics simulations.
机译:描述了通过离子迁移质谱(IM-MS)测量的不同类别生物分子所占据的构象空间,可用于表征复杂的生物样品。尽管基于结构或碰撞横截面定性分离不同种类的生物分子是已知的,但除肽以外,几乎没有定量的横截面信息可用于物种。在此报告中,测量了一系列生物显着物种的碰撞截面,其中包括寡核苷酸(n = 96),碳水化合物(n = 192)和脂质(n = 53),并将其与报告的肽值( n = 610)。通常,每个类别的信号都是高度相关的,并且在给定质量下,这些相关性会导致预测的碰撞横截面按寡核苷酸<碳水化合物<肽<脂质的顺序增加。通过对数回归描述了特定的相关性,对数回归最接近理论上的趋势,即随着质量的增加,碰撞截面的增加。对每个分子类别中观察到的信号的统计处理表明,每个类别所占据的构象空间的广度按脂质<寡核苷酸<肽<碳水化合物的顺序增加。描述了构象空间分析在复杂生物样品的直接分析中的效用,无论是在定性分子类别识别的背景下,还是在一类内部的精细结构检查中。后者在等压寡核苷酸的IM-MS分离中得到了证明,这可以通过分子动力学模拟来解释。

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