首页> 外文期刊>International journal of analytical chemistry >Comparative Glycopeptide Analysis for Protein Glycosylation by Liquid Chromatography and Tandem Mass Spectrometry: Variation in Glycosylation Patterns of Site-Directed Mutagenized Glycoprotein
【24h】

Comparative Glycopeptide Analysis for Protein Glycosylation by Liquid Chromatography and Tandem Mass Spectrometry: Variation in Glycosylation Patterns of Site-Directed Mutagenized Glycoprotein

机译:通过液相色谱和串联质谱比较糖肽的蛋白质糖基化分析:定点诱变糖蛋白的糖基化模式变化

获取原文
           

摘要

Glycosylation is one of the most important posttranslational modifications for proteins, including therapeutic antibodies, and greatly influences protein physiochemical properties. In this study, glycopeptide mapping of a reference and biosimilar recombinant antibodies (rAbs) was performed using liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) and an automated Glycoproteome Analyzer (GPA) algorithm. The tandem mass analyses for the reference and biosimilar samples indicate that this approach proves to be highly efficient in reproducing consistent analytical results and discovering the implications of different rAb production methods on glycosylation patterns. Furthermore, the comparative analysis of a mutagenized rAb glycoprotein proved that a single amino acid mutation in the Fc portion of the antibody molecule caused increased variations in glycosylation patterns. These variations were also detected by the mass spectrometry method efficiently. This mapping method, focusing on precise glycopeptide identification and comparison for the identified glycoforms, can be useful in differentiating aberrant glycosylation in biosimilar rAb products.
机译:糖基化是包括治疗性抗体在内的蛋白质最重要的翻译后修饰之一,并且极大地影响蛋白质的理化特性。在这项研究中,使用液相色谱-电喷雾串联质谱(LC-ESI-MS / MS)和自动糖蛋白分析仪(GPA)算法对参考和生物类似重组抗体(rAbs)的糖肽作图。参考样品和生物仿制药的串联质量分析表明,该方法在重现一致的分析结果和发现不同的rAb生产方法对糖基化模式的影响方面被证明是高效的。此外,对诱变的rAb糖蛋白的比较分析证明,抗体分子Fc部分的单个氨基酸突变引起糖基化模式的变化增加。这些变化也通过质谱法被有效地检测到。该定位方法侧重于精确的糖肽鉴定和已鉴定糖型的比较,可用于区分生物相似rAb产品中的异常糖基化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号