用于分析治疗蛋白n -聚糖的蛋白颗粒样品制备。

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Ronald L Kowle, Shardrack O Asare
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引用次数: 0

摘要

分析治疗蛋白的n -聚糖是控制生物制药产品的关键组成部分。n -糖基化是一种常见的翻译后修饰,已被证明会影响治疗蛋白的结构、功能、稳定性、药代动力学和整体治疗效果。世界各地的监管机构需要详细的糖基化分析,以满足高产品质量标准。n -聚糖分析的标准样品制备包括糖蛋白的酶解,荧光衍生化,以及在色谱聚糖分析之前,耗时和消耗资源的固相萃取去除多余的荧光团和反应试剂。在本文中,我们报告了一种快速的样品制备工作流程,简化了衍生化后的聚糖纯化。该方法在分析前使用“蛋白颗粒”方法纯化荧光标记的聚糖。通过将结果与使用聚酰胺固定相的标准固相提取方法进行比较,确定了“蛋白质颗粒”方法的准确性。结果表明,该方法重复性好,线性好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protein pellet sample preparation for the analysis of N-glycans of therapeutic proteins.

Profiling of N-glycans of therapeutic proteins is a critical component in the control of biopharmaceutical products. N-Glycosylation, a common post-translational modification has been shown to impact the structure, function, stability, pharmacokinetics, and overall therapeutic efficacy of therapeutic proteins. Regulatory agencies around the world require detailed profiling of glycosylation to meet high product quality standards. The standard sample preparation for N-glycan analysis involves the enzymatic release of the glycan from the glycoprotein, fluorescent derivatization, and the time- and resource-consuming solid-phase extraction to remove excess fluorophore and reaction reagents before chromatographic glycan analysis. In this paper, we report a rapid sample preparation workflow that simplifies glycan purification after derivatization. The method uses the "protein pellet" approach to purify the fluorescently labeled glycan before analysis. The accuracy of the "protein pellet" method was established by comparing the results to the standard solid-phase extraction method that utilizes a polyamide stationary phase. The repeatability and linearity were also demonstrated.

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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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