化学
离解(化学)
蛋白质亚单位
蛋氨酸
单克隆抗体
质谱法
色谱法
碎片(计算)
串联质谱法
生物化学
组合化学
计算生物学
肽
肽序列
酶
分子
重链
表征(材料科学)
氨基酸
序列(生物学)
鉴定(生物学)
残留物(化学)
蛋白质测序
抗体
二硫键
作者
Abdulafeez Akinloye,Leigh Donnellan,Parul Mittal,Clifford Young,Mariam Nassiri,Mark R. Condina,Nathan Edwards,Alok Shah,Peter Hoffmann
标识
DOI:10.1021/acs.analchem.6c03432
摘要
Abstract Characterizing post-translational modifications (PTMs) in monoclonal antibody products is critical for ensuring product quality attributes understanding and monitoring. While the bottom-up approach is widely adopted, it suffers from the loss of molecular connectivity and is susceptible to artifact generation. Conversely, top-down approaches face limitations due to the high complexity and poor gas-phase fragmentation of large intact molecules to get site-specific post-translational information profiling. Middle-down MS methods offer a complementary middle-ground approach to both bottom-up and top-down, with broader sequence coverage, and facilitate the simultaneous identification of multiple attributes and proteoforms. In this study, we optimized the electron-activated dissociation (EAD) approach for middle-down sequencing of NISTmAb subunits and present a potential MS and MS/MS strategy to rapidly characterize PTMs on antibodies, using methionine oxidation as an example. Peroxide-stressed and control mAb samples were digested and reduced into subunits using the IdeS enzyme and analyzed via LC-MS, with the optimized MRMHR EAD method. The resulting data enabled high-resolution subunit mass analysis, sequence confirmation, and potential for site-specific oxidation localization. Methionine oxidation localization in NISTmAb was achieved in light chain (M4), Fd’ (M34, M101), and Fc/2 (M16, M122, M192), with these locations confirmed with bottom-up peptide mapping data. Quantification using the Fc/2 subunit enabled detection of oxidation levels up to 1% relative, with strong correlation (R2 > 0.99) between expected and observed values using MS1 data. This middle-down electron-activated dissociation (EAD) approach provides a potential method for site-specific characterization of PTMs in antibody products, offering valuable complementary mapping to support formulation development and production.
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