自动分配双标记蛋白质中的 15N 和 13C 富集水平

IF 3.1 2区 化学 Q2 BIOCHEMICAL RESEARCH METHODS
Elijah T Roberts, Alexander R Davis, Jeremy T Risher, Adam W Barb, I Jonathan Amster
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引用次数: 0

摘要

蛋白质中 15N 和 13C 的均匀富集通常用于蛋白质三维结构的二维异核 NMR 测量。实现这两种元素的高度富集对于获得高质量数据非常重要。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大肠杆菌中表达更具挑战性,因为大肠杆菌是原核生物,可在简单的化学定义培养基上生长,但不能提供适当的真核修饰。很难实现两种重同位素的完全掺入,因此质量控制措施对于量化其富集水平非常重要。对完整蛋白质或其蛋白水解片段的同位素分布进行质谱测量,是评估富集水平的方法。由于峰中心点的微妙偏移与潜在但尚未解决的同位素精细结构的差异,要区分 13C 和 15N 富集的正确组合,质量精度必须达到 1 ppm 或更高。我们开发了一个简单的计算机程序,用于优化实验同位素模式与统计推导分布的拟合。这种方法可以根据肽、完整蛋白质和聚糖常规 MS 数据中的同位素模式和同位素质量确定同位素丰度。为此,我们对 MATLAB 的同位素模拟器 isotopicdist 进行了修改,以允许 15N 和 13C 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。我们还在 MATLAB 中加入了另一个同位素模拟器 js-emass,用于相同的拟合程序。在此,我们对自然丰度泛素和均匀[15N,13C]标记的泛素进行了完整和多肽水平的基准测试,概述了数据质量和质量准确性方面的注意事项,并报告了我们对之前报道的[15N,13C]富集人IgG Fc结构域(一种在酿酒酵母中表达的糖蛋白)分析所做的几项改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Automated Assignment of <sup>15</sup>N And <sup>13</sup>C Enrichment Levels in Doubly-Labeled Proteins.

Automated Assignment of 15N And 13C Enrichment Levels in Doubly-Labeled Proteins.

Uniform enrichment of 15N and 13C 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 Escherichia coli, 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 13C and 15N 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 15N and 13C 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 [15N,13C]-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 [15N,13C]-enriched human IgG Fc domain, a glycoprotein that has been expressed in Saccharomyces cerevisiae.

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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
257
审稿时长
1 months
期刊介绍: The Journal of the American Society for Mass Spectrometry presents research papers covering all aspects of mass spectrometry, incorporating coverage of fields of scientific inquiry in which mass spectrometry can play a role. Comprehensive in scope, the journal publishes papers on both fundamentals and applications of mass spectrometry. Fundamental subjects include instrumentation principles, design, and demonstration, structures and chemical properties of gas-phase ions, studies of thermodynamic properties, ion spectroscopy, chemical kinetics, mechanisms of ionization, theories of ion fragmentation, cluster ions, and potential energy surfaces. In addition to full papers, the journal offers Communications, Application Notes, and Accounts and Perspectives
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