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双标记蛋白质中N和C富集水平的自动分配

Automated Assignment of N And C Enrichment Levels in Doubly-Labeled Proteins.

作者信息

Roberts Elijah T, Davis Alexander R, Risher Jeremy T, Barb Adam W, Amster I Jonathan

机构信息

Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States.

Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, United States.

出版信息

J Am Soc Mass Spectrom. 2024 Oct 2;35(10):2344-2357. doi: 10.1021/jasms.4c00218. Epub 2024 Aug 30.

Abstract

Uniform enrichment of N and C in proteins is commonly employed for 2D heteronuclear NMR measurements of the three-dimensional protein structure. Achieving a high degree of enrichment of both elements is important for obtaining high quality data. Uniform labeling of proteins and glycoproteins expressed in higher organisms (yeast or mammalian cell lines) is more challenging than expression in , a prokaryote that grows on simple, chemically defined media but does not provide appropriate eukaryotic modifications. It is difficult to achieve complete incorporation of both heavy isotopes, and quality control measures are important for quantitating the level of their enrichment. Mass spectrometry measurements of the isotopic distribution of the intact protein or its proteolytic fragments provide the means to assess the enrichment level. A mass accuracy of 1 ppm or better is shown to be required to distinguish the correct combination of C and N enrichment due to subtle shifts in peak centroids with differences in the underlying, but unresolved, isotopic fine structure. A simple computer program was developed to optimize the fitting of experimental isotope patterns to statistically derived distributions. This method can determine the isotopic abundance from isotope patterns and isotopologue masses in conventional MS data for peptides, intact proteins, and glycans. For this purpose, MATLAB's isotope simulator, isotopicdist, has been modified to permit the variation of N and C enrichment levels and to perform a two-dimensional grid search of enrichment levels of both isotopes. We also incorporated an alternate isotope simulator, js-emass, into MATLAB for use in the same fitting program. Herein we benchmark this technique on natural abundance ubiquitin and uniformly [N,C]-labeled ubiquitin at both the intact and peptide level, outline considerations for data quality and mass accuracy, and report several improvements we have made to the previously reported analysis of the [N,C]-enriched human IgG Fc domain, a glycoprotein that has been expressed in .

摘要

蛋白质中氮(N)和碳(C)的均匀富集通常用于三维蛋白质结构的二维异核核磁共振测量。实现这两种元素的高度富集对于获得高质量数据很重要。在高等生物(酵母或哺乳动物细胞系)中表达的蛋白质和糖蛋白的均匀标记比在原核生物中表达更具挑战性,原核生物在简单的化学定义培养基上生长,但不提供适当的真核修饰。很难实现两种重同位素的完全掺入,质量控制措施对于定量其富集水平很重要。完整蛋白质或其蛋白水解片段的同位素分布的质谱测量提供了评估富集水平的方法。由于峰中心的细微移动以及潜在但未解析的同位素精细结构的差异,显示需要1 ppm或更好的质量精度来区分碳和氮富集的正确组合。开发了一个简单的计算机程序来优化实验同位素模式与统计得出的分布的拟合。该方法可以从传统质谱数据中肽、完整蛋白质和聚糖的同位素模式和同位素异构体质量确定同位素丰度。为此,MATLAB的同位素模拟器isotopicdist已被修改,以允许氮和碳富集水平的变化,并对两种同位素的富集水平进行二维网格搜索。我们还将另一个同位素模拟器js-emass并入MATLAB,用于相同的拟合程序。在此我们在天然丰度泛素和完整及肽水平的均匀[N,C]标记泛素上对该技术进行基准测试,概述数据质量和质量精度的注意事项,并报告我们对先前报道的[N,C]富集的人IgG Fc结构域(一种已在……中表达的糖蛋白)分析所做的一些改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d96b/11450805/39988b8d74d7/js4c00218_0001.jpg

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