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谷氨酰胺和天冬酰胺的氨基和酰胺基中15N标记的直接分析。

Direct analysis of 15N-label in amino and amide groups of glutamine and asparagine.

作者信息

Scharff-Poulsen Anne Marie, Schou Christian, Egsgaard Helge

机构信息

Risoe National Laboratory, Biosystems Department, DK-4000 Roskilde, Denmark.

出版信息

J Mass Spectrom. 2007 Feb;42(2):161-70. doi: 10.1002/jms.1134.

Abstract

A novel method for on-line determination of the amount and position of 15N-labeling in complex mixtures of amino acids is presented. Underivatized amino acids were analyzed by ion-pair chromatography in combination with mass spectrometry. This enables the direct determination of the 15N label distribution. The fragmentation pathways of the nitrogen moieties of glutamine (Gln) and asparagine (Asn) were studied in detail using all mono 15N isotopomers, which led to a method for differentiating between 15N-amide and 15N-amino labeling. The fragmentation involving the amino and amide groups of Gln led to distinct ion structures. The equivalent fragmentation pattern was not observed for Asn. Instead, the amide group of Asn was eliminated as HNCO in a secondary process. The developed analytical method was evaluated by analysis of a range of standard mixtures taking into account different levels of 15N abundance and distribution between the amino and amide groups. The detection limit (3 SD) for the presence of a 15N label was 0.7 and 1.0% for Gln and Asn, respectively. The determination of the positional labeling follows a nonlinear function. A representative example at 30% 15N was used as a benchmark resulting in average relative standard deviations of 2.7 and 15% for Gln and Asn, respectively. The corresponding expectation windows for the positional labeling were found to be 2 and 12%, respectively.

摘要

本文介绍了一种在线测定复杂氨基酸混合物中15N标记量和位置的新方法。未衍生化的氨基酸通过离子对色谱与质谱联用进行分析。这使得能够直接测定15N标记分布。使用所有单15N同位素异构体详细研究了谷氨酰胺(Gln)和天冬酰胺(Asn)氮部分的裂解途径,从而产生了一种区分15N-酰胺和15N-氨基标记的方法。涉及Gln氨基和酰胺基的裂解产生了独特的离子结构。Asn未观察到等效的裂解模式。相反,Asn的酰胺基在二级过程中以HNCO形式消除。通过分析一系列标准混合物评估了所开发的分析方法,考虑了不同水平的15N丰度以及氨基和酰胺基之间的分布。15N标记存在的检测限(3倍标准差)对于Gln和Asn分别为0.7%和1.0%。位置标记的测定遵循非线性函数。以30% 15N的代表性示例作为基准,Gln和Asn的平均相对标准偏差分别为2.7%和15%。发现位置标记的相应期望窗口分别为2%和12%。

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