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MeCAT——用于蛋白质和肽金属标记的新型碘乙酰胺试剂。

MeCAT--new iodoacetamide reagents for metal labeling of proteins and peptides.

机构信息

Department of Chemistry, Humboldt-Universitaet zu Berlin, Berlin, Germany.

出版信息

Anal Bioanal Chem. 2011 Sep;401(4):1203-9. doi: 10.1007/s00216-011-5189-7. Epub 2011 Jun 30.

Abstract

Besides protein identification via mass spectrometric methods, protein and peptide quantification has become more and more important in order to tackle biological questions. Methods like differential gel electrophoresis or enzyme-linked immunosorbent assays have been used to assess protein concentrations, while stable isotope labeling methods are also well established in quantitative proteomics. Recently, we developed metal-coded affinity tagging (MeCAT) as an alternative for accurate and sensitive quantification of peptides and proteins. In addition to absolute quantification via inductively coupled plasma mass spectrometry, MeCAT also enables sequence analysis via electrospray ionization tandem mass spectrometry. In the current study, we developed a new labeling approach utilizing an iodoacetamide MeCAT reagent (MeCAT-IA). The MeCAT-IA approach shows distinct advantages over the previously used MeCAT with maleinimide reactivity such as higher labeling efficiency and the lack of diastereomer formation during labeling. Here, we present a careful characterization of this new method focusing on the labeling process, which yields complete tagging with an excess of reagent of 1.6 to 1, less complex chromatographic behavior, and fragmentation characteristics of the tagged peptides using the iodoacetamide MeCAT reagent.

摘要

除了通过质谱方法进行蛋白质鉴定外,为了解决生物学问题,蛋白质和肽的定量分析变得越来越重要。例如,差异凝胶电泳或酶联免疫吸附测定等方法已被用于评估蛋白质浓度,而稳定同位素标记方法在定量蛋白质组学中也得到了很好的建立。最近,我们开发了金属编码亲和标记(MeCAT)作为一种准确、灵敏的肽和蛋白质定量方法。除了通过电感耦合等离子体质谱进行绝对定量外,MeCAT 还可以通过电喷雾串联质谱进行序列分析。在本研究中,我们开发了一种利用碘乙酰胺 MeCAT 试剂(MeCAT-IA)的新标记方法。与之前使用马来酰亚胺反应性的 MeCAT 相比,MeCAT-IA 方法具有明显的优势,例如更高的标记效率,以及在标记过程中不会形成非对映异构体。在这里,我们详细描述了这种新方法,重点介绍了标记过程,该过程在 1.6 到 1 的过量试剂下实现了完全标记,具有较少的复杂色谱行为,以及使用碘乙酰胺 MeCAT 试剂标记的肽的片段化特征。

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