Rapid Antibody Structural Characterization and Quantification via Microdroplet Trypsin Digestion
Microdroplet digestion of proteins, including monoclonal antibodies (mAbs), has gained increasing attention for its potential in rapid protein structural characterization. In this study, we developed a fast antibody characterization and quantitation method using online microdroplet trypsin digestion. This automated approach involves ultrafast digestion in <1 ms (>90% digestion efficiency) and subsequent MS and MS/MS for peptide mapping and pinpointing peptide modifications. For instance, by MS/MS analysis, the N<sup>387</sup> residue rather than N<sup>392</sup> and N<sup>393</sup> of the "PENNYK" peptide, GFYPSDIAVEWESN<sup>387</sup>GQPEN<sup>392</sup>N<sup>393</sup>YK generated from NIST mAb microdroplet digestion, was found to undergo major deamidation due to its proximity to the G<sup>388</sup> residue (upon incubation with a pH 8 Tris buffer for 5 days, ca. 32% of the N<sup>387</sup> residue was deamidated). To further demonstrate our method's applications, methionine oxidation, another important type of post-translational modification (PTM) of mAbs, was successfully quantified by spiking the mAb sample with standard peptides for microdroplet digestion. Such an absolute quantitation approach showed a better accuracy for measuring the methionine oxidation level, in comparison to traditional relative quantitation methods, which simply compare ion intensities of oxidized and intact peptides to calculate the oxidation level (the relative quantitation is problematic as the oxidized and intact peptides have different ionization efficiencies). Similarly, by spiking the antibody with a heavy isotope-labeled antibody, our microdroplet digestion method allowed quick absolute antibody quantification, demonstrating good linearity (<i>R</i><sup>2</sup> = 0.99), sensitivity (LOD: 1.2 ng), and accuracy (0.6-10% quantification error in comparison to the theoretical amount of injected antibody).
Authors
- Andrew Schladebeck
- Harsha P. Gunawardena (ORCID: https://orcid.org/0000-0003-3245-3293)
- Xi Qiu (ORCID: https://orcid.org/0000-0003-4455-1683)
- Karen Yao Luo
- Michael D. Knierman (ORCID: https://orcid.org/0000-0001-7427-2269)
- Hui Zhao (ORCID: https://orcid.org/0000-0002-9221-6831)
- Yongqing Yang (ORCID: https://orcid.org/0000-0003-2788-3280)
- Mengyuan Xiao
- Jim Lau
- Hao Chen
Institutions
- New Jersey Institute of Technology (US)
- Johnson & Johnson (United States) (US)
- Agilent Technologies (United States) (US)
Publication Details
- Journal
- Journal of the American Society for Mass Spectrometry
- Published
- 2026-02-15
- DOI
- https://doi.org/10.1021/jasms.5c00457
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00