Comprehensive assembly of monoclonal and mixed antibody sequences

preprint · bioRxiv · 2024

preprint · bioRxiv · 2024. Wenbin Jiang et al. The elucidation of antibody sequence information is crucial for understanding antigen binding and advancing…
Date 2024-08-10
Type preprint
Venue bioRxiv
Publisher openRxiv
Contribution post-processor
DOI 10.1101/2024.08.09.607415
Citations (OpenAlex) 3

Abstract

The elucidation of antibody sequence information is crucial for understanding antigen binding and advancing therapeutic and research applications. However, complete de novo assembly of monoclonal antibody sequences remains challenging due to accuracy and robustness limitations. To address this issue, we introduce Fusion, an innovative de novo assembler that integrates overlapping peptides and template information into complete sequences using a beam search strategy. We demonstrate Fusions performance by reconstructing multiple human and murine antibodies with highest accuracy (100% and over 99%, respectively). Biological validation of the recombinantly expressed AFS98 antibody with unknown sequences further supports its effectiveness. Furthermore, current methods are applicable only to traditional monoclonal antibody sequencing assembly, presenting a significant bottleneck in achieving higher throughput. In contrast, Fusion can assemble peptide sequences from mixtures of two or three monoclonal antibodies into complete individual sequences with the same accuracy as traditional sequencing, significantly enhancing throughput. To our knowledge, this is the first study enabling high-throughput sequencing of multiple antibodies using only bottom-up mass spectrometry. The duration, expense, and reagent consumption of mass spectrometry detection are comparable to those required for sequencing a single monoclonal antibody. In summary, Fusions superior performance in handling the complex antibody sequencing represents a significant advancement in antibody research.

Authors

  1. Wenbin Jiang · Xiamen University
  2. Yueting Xiong · Xiamen University, Xiang An Biomedicine Laboratory
  3. Jin Xiao · Xiamen University
  4. Jingyi Wang · Xiamen University, Xiang An Biomedicine Laboratory
  5. Zhenjian Jiang · Fudan University
  6. Ling Luo · Xiamen University
  7. Quan Yuan · Xiamen University
  8. Ning-Shao Xia · Xiamen University
  9. Rongshan Yu · Aginome Scientific, Xiamen University

Methods and tools

  • Fusion: Beam-search assembler that combines overlapping de novo peptides with template information into full antibody sequences, including mixtures of two or three monoclonal antibodies.

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