Dhenin Jonathan, Dupré Mathieu, Druart Karen, Krick Alain, Mauriac Christine, Chamot-Rooke Julia
Institut Pasteur, Université Paris Cité, CNRS UAR2024, Mass Spectrometry for Biology, Paris, 75015, France.
Université Paris Cité, Sorbonne Paris Cité, Paris, France.
J Mass Spectrom. 2023 Mar;58(3):e4909. doi: 10.1002/jms.4909.
In antibody-based drug research, a complete characterization of antibody proteoforms covering both the amino acid sequence and all posttranslational modifications remains a major concern. The usual mass spectrometry-based approach to achieve this goal is bottom-up proteomics, which relies on the digestion of antibodies but does not allow the diversity of proteoforms to be assessed. Middle-down and top-down approaches have recently emerged as attractive alternatives but are not yet mastered and thus used in routine by many analytical chemistry laboratories. The work described here aims at providing guidelines to achieve the best sequence coverage for the fragmentation of intact light and heavy chains generated from a simple reduction of intact antibodies using Orbitrap mass spectrometry. Three parameters were found crucial to this aim: the use of an electron-based activation technique, the multiplex selection of precursor ions of different charge states, and the combination of replicates.
在基于抗体的药物研究中,全面表征涵盖氨基酸序列和所有翻译后修饰的抗体蛋白变体仍是一个主要问题。实现这一目标的常用基于质谱的方法是自下而上的蛋白质组学,该方法依赖于抗体的酶解,但无法评估蛋白变体的多样性。中向下和自上而下的方法最近已成为有吸引力的替代方法,但尚未被许多分析化学实验室掌握并用于常规操作。本文所述工作旨在提供指导方针,以便使用轨道阱质谱仪通过简单还原完整抗体产生的完整轻链和重链片段化来实现最佳序列覆盖。发现三个参数对实现这一目标至关重要:使用基于电子的活化技术、对不同电荷态前体离子的多重选择以及重复分析的组合。