CE-MS and CE-MS/MS for the multiattribute analysis of monoclonal antibody variants at the subunit level

The analysis of product-related substances and impurities is a critical step in the biopharmaceutical quality control of multiattribute monoclonal antibodies (mAbs), as posttranslational modifications or other variants can influence the product's biological activity. Many approaches are available for variant analysis; however, they are either variant-specific, mAb-specific, time-consuming, or require expensive equipment. Here, we present a generic capillary electrophoretic method based on a neutral-coated capillary which was coupled to mass spectrometry (MS) via the nanoCEasy interface for mAb variant analysis at the subunit level (enzymatically digested and reduced mAb). The method enabled the separation of several (i) size variants (e.g. glycosylation variants) and (ii) charge variants (e.g. c-terminal lysin clipping) as well as (iii) multiple other proteoforms (e.g. additional glycation) and (iv) incompletely reduced subunits. Separated variants were confirmed by MS/MS fragmentation even for small mass deviations like deamidation or open disulfide bridges. The system, initially developed for one mAb, was tested with nine other IgG1s to show the general applicability of the system. The presented multiattribute method enables fast and detailed characterization of mAb variants with little sample preparation and relatively simple separation equipment enabling the separation of a large set of mAb variants.

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Publication Details

Journal
Journal of Pharmaceutical and Biomedical Analysis
Published
2024-10-02
DOI
https://doi.org/10.1016/j.jpba.2024.116495
Citations
5
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
1.17
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article

CE-MS and CE-MS/MS for the multiattribute analysis of monoclonal antibody variants at the subunit level

Jasmin Schairer, Jennifer Römer, Christian Neusüß
5 citations
Journal of Pharmaceutical and Biomedical Analysis
Protein purification and stability
1.17
article

CE-MS and CE-MS/MS for the multiattribute analysis of monoclonal antibody variants at the subunit level

Jasmin Schairer, Jennifer Römer, Christian Neusüß
article en
5 citations

Abstract

The analysis of product-related substances and impurities is a critical step in the biopharmaceutical quality control of multiattribute monoclonal antibodies (mAbs), as posttranslational modifications or other variants can influence the product's biological activity. Many approaches are available for variant analysis; however, they are either variant-specific, mAb-specific, time-consuming, or require expensive equipment. Here, we present a generic capillary electrophoretic method based on a neutral-coated capillary which was coupled to mass spectrometry (MS) via the nanoCEasy interface for mAb variant analysis at the subunit level (enzymatically digested and reduced mAb). The method enabled the separation of several (i) size variants (e.g. glycosylation variants) and (ii) charge variants (e.g. c-terminal lysin clipping) as well as (iii) multiple other proteoforms (e.g. additional glycation) and (iv) incompletely reduced subunits. Separated variants were confirmed by MS/MS fragmentation even for small mass deviations like deamidation or open disulfide bridges. The system, initially developed for one mAb, was tested with nine other IgG1s to show the general applicability of the system. The presented multiattribute method enables fast and detailed characterization of mAb variants with little sample preparation and relatively simple separation equipment enabling the separation of a large set of mAb variants.

Journal of Pharmaceutical and Biomedical AnalysisVol. 252
Rentschler Biopharma (Germany) (DE), Hochschule Aalen (DE), University of Tübingen (DE)
Zero hunger
Openalex Percentile: Top 22%
Protein purification and stability
1.17
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CE-MS and CE-MS/MS for the multiattribute analysis of monoclonal antibody variants at the subunit level — Jasmin Schairer, Jennifer Römer, et al. · Journal of Pharmaceutical and Biomedical Analysis (2024) | TGRS Research Map | TGRS