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Periodicity of Monoisotopic Mass Isomers and Isobars in Proteomics

机译:蛋白质组学中单同位素质量异构体和同位异构体的周期性

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We report trends in the theoretically derived number of compositionally distinct peptides (i.e., peptides made up of different amino acid residues) up to a nominal mass of 1000. A total of 21 amino acid residues commonly found in proteomics studies are included in this study, 19 natural, nonisomeric amino acid residues as well as oxidated methione and acetamidated cysteine. The number of possibilities is found to increase in an exponential fashion with increasing nominal mass, and the data show a periodic oscillation that starts at mass approx200 and continues throughout to 1000. Note that similar effects are reported in the companion article on fragment ions from electron capture/transfer dissociation (ECD/ETD) (Mao et al. Anal. Chem. 2011, DOI: 10.1021/ac201619t). The spacing of this oscillation is approx15 mass units at lower masses and approx14 mass units at higher nominal masses. This correlates with the most common mass differences between the amino acid building blocks. In other words, some mass differences are more common than others, thus determining the periodicity in this data. From an analytical point of view, nominal masses with a larger number of compositionally distinct peptides include a substantial number of isomers, which cannot be separated based on mass. Consequently, even ultrahigh mass accuracy (i.e., 0.5 ppm) does not lead to a substantially enhanced rate of identification. Conversely, for adjacent nominal masses with a lower number of isomers, moderately accurate mass (i.e., 10 ppm) gives a higher degree of certainty in identification. These effects are limited to the mass range between 200 and 500 Da. At higher masses, the percentage of uniquely identified peptides drops off to close to zero, independent of nominal mass, due the inherently high number of isomers. While the exact number of isobars/isomers at each nominal mass depends on the amino acid building blocks that are considered, the periodicity in the data is found to be remarkably robust; for instance, inclusion of phosphorylated residues barely affects the pattern at lower masses (i.e., <500 Da).
机译:我们报告了理论上衍生的组成上不同的肽(即,由不同氨基酸残基组成的肽)的数量,直至标称质量为1000的趋势。蛋白质组学研究中通常发现的总共21个氨基酸残基包括在本研究中, 19个天然的非异构氨基酸残基以及氧化的甲硫酮和乙酰胺化的半胱氨酸。发现可能性的数量随标称质量的增加而呈指数增加,并且数据显示周期性振荡始于质量大约为200并一直持续到1000。注意,伴随文章中也报道了类似的效应,涉及电子中的碎片离子捕获/转移解离(ECD / ETD)(Mao et al.Anal.Chem.2011,DOI:10.1021 / ac201619t)。该振荡的间隔在较低质量下约为15质量单位,在较高标称质量下约为14质量单位。这与氨基酸构件之间最常见的质量差异相关。换句话说,某些质量差异比其他质量差异更为常见,因此确定了该数据的周期性。从分析的角度来看,具有大量组成上不同的肽的标称质量包括大量异构体,这些异构体无法基于质量分离。因此,即使是超高的质量精度(即0.5ppm)也不会导致识别率的显着提高。相反,对于异构体数量较少的相邻标称质量,中等准确的质量(即10 ppm)可提供更高的确定性。这些影响仅限于200到500 Da之间的质量范围。在较高质量下,由于固有的大量异构体,唯一确定的肽百分率下降到接近零,而与标称质量无关。虽然每个标称质量的等压线/异构体的确切数量取决于所考虑的氨基酸构件,但发现数据的周期性非常稳健。例如,包含磷酸化残留物几乎不会影响较低质量(即<500 Da)的图案。

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