Sequencing of Polyclonal Antibodies by Integrating Intact Mass, Middle–Down, and De Novo Bottom–Up Mass Spectrometry

Polyclonal antibodies (pAbs) represent nature's approach to robust immunity, targeting multiple sites on pathogens, but their complex mixtures have remained largely unsequenceable, limiting their therapeutic potential. While monoclonal antibodies (mAbs) dominate therapeutics because of their reproducibility, pAbs offer superior resilience against viral mutations and broader target recognition. Current pAb sequencing attempts have shown limitations, requiring germline databases or B-cell sequencing. Due to the highly variable nature of antibodies, as well as the possibility of unavailable B cells, there is a need for a purely mass spectrometry- and de novo sequencing-based solution. Here, we present PolySeq.AI, an automated de novo workflow that combines bottom-up, middle-down, and intact mass analysis, to accurately sequence pAb samples without relying on external databases. PolySeq.AI achieved >99% sequencing accuracy across all tested samples, including an mAb mixture from the HB-95 cell line and a mixture of four mAbs, with complete bottom-up coverage and strong middle-down fragment support. Importantly, recombinant antibodies produced from our de novo sequences of HB-95 antibodies retained full binding capabilities to human leukocyte antigen-I complexes, confirming the accuracy and efficacy of our pAb de novo sequencing workflow.

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Publication Details

Journal
Molecular & Cellular Proteomics
Published
2025-10-15
DOI
https://doi.org/10.1016/j.mcpro.2025.101088
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
1.36

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article

Sequencing of Polyclonal Antibodies by Integrating Intact Mass, Middle–Down, and De Novo Bottom–Up Mass Spectrometry

Baozhen Shan, Zihao Wang, Ngoc Hieu Tran, Linting Li et al.
1 citations
Molecular & Cellular Proteomics
Monoclonal and Polyclonal Antibodies Research
1.36
article

Sequencing of Polyclonal Antibodies by Integrating Intact Mass, Middle–Down, and De Novo Bottom–Up Mass Spectrometry

Baozhen Shan, Zihao Wang, Ngoc Hieu Tran, Linting Li, Weiping Sun, Yuanqiang Zhang, Kyle Hoffman, Ming Li, Wenting Li, Zhen Chen, Jun Ma, Xiyue Zhang, Lei Xin, Peng Chao, Ailee Aihemaiti
article en
1 citations

Abstract

Polyclonal antibodies (pAbs) represent nature's approach to robust immunity, targeting multiple sites on pathogens, but their complex mixtures have remained largely unsequenceable, limiting their therapeutic potential. While monoclonal antibodies (mAbs) dominate therapeutics because of their reproducibility, pAbs offer superior resilience against viral mutations and broader target recognition. Current pAb sequencing attempts have shown limitations, requiring germline databases or B-cell sequencing. Due to the highly variable nature of antibodies, as well as the possibility of unavailable B cells, there is a need for a purely mass spectrometry- and de novo sequencing-based solution. Here, we present PolySeq.AI, an automated de novo workflow that combines bottom-up, middle-down, and intact mass analysis, to accurately sequence pAb samples without relying on external databases. PolySeq.AI achieved >99% sequencing accuracy across all tested samples, including an mAb mixture from the HB-95 cell line and a mixture of four mAbs, with complete bottom-up coverage and strong middle-down fragment support. Importantly, recombinant antibodies produced from our de novo sequences of HB-95 antibodies retained full binding capabilities to human leukocyte antigen-I complexes, confirming the accuracy and efficacy of our pAb de novo sequencing workflow.

Molecular & Cellular ProteomicsVol. 24(11)
Bioinformatics Solutions (Canada) (CA), Blackberry (Canada) (CA), Baidu (China) (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 15%
Monoclonal and Polyclonal Antibodies Research
1.36
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