Modern mass spectrometry technology allows for extensive sequencing of theâ~â25Â kDa subunits of monoclonal antibodies (mAbs) produced by IdeS proteolysis followed by disulfide bond reduction, an approach known as middle-down mass spectrometry (MD MS). However, the spectral congestion of tandem mass spectra of large polypeptides dramatically complicates fragment ion assignment. Here, we report the development and benchmark of an MD MS strategy based on the combination of different ion fragmentation techniques with proton transfer charge reduction (PTCR) to simplify the gas-phase sequencing of mAb subunits. Applied on the liquid chromatography time scale using an Orbitrap Tribrid mass spectrometer, PTCR produces easy-to-interpret mass spectra with limited ion signal overlap. We demonstrate that the accurate estimation of the number of charges submitted to the Orbitrap mass analyzer after PTCR allows for the detection of charge-reduced product ions over a wide mass-over-charge (m/z) window with low parts per million m/z accuracy. Therefore, PTCR-based MD MS analysis increases not only sequence coverage, number of uniquely identified fragments, and number of assigned complementary ion pairs, but also the general confidence in the assignment of subunit fragments. This data acquisition method can be readily applied to any class of mAbs without an apparent need for optimization, and benefits from the high resolving power of the Orbitrap mass analyzer to return sequence coverage of individual subunits exceeding 80% in a single run, andâ>â90% when just two experiments are combined.
Towards a universal method for middle-down analysis of antibodies via proton transfer charge reduction-Orbitrap mass spectrometry.
利用质子转移电荷还原-Orbitrap质谱法对抗体进行中层分析的通用方法
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作者:Oates Ryan N, Lieu Linda B, Kline Jake T, Mullen Christopher, SrzentiÄ Kristina, Huguet Romain, McAlister Graeme C, Huang Jingjing, Bergen David, Melani Rafael D, Zabrouskov Vlad, Durbin Kenneth R, Syka John E P, Fornelli Luca
| 期刊: | Analytical and Bioanalytical Chemistry | 影响因子: | 3.800 |
| 时间: | 2024 | 起止号: | 2024 Nov;416(28):6463-6472 |
| doi: | 10.1007/s00216-024-05534-z | 研究方向: | 免疫/内分泌 |
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