Multi-Modal Mass Spectrometry Identifies a Conserved Protective Epitope in S. pyogenes Streptolysin O

preprint · bioRxiv · 2023

preprint · bioRxiv · 2023. Di Tang et al. An important element of antibody-guided vaccine design is the use of neutralizing/opsonic monoclonal…
Date 2023-12-02
Type preprint
Venue bioRxiv
Publisher Cold Spring Harbor Laboratory
Contribution downstream-application
DOI 10.1101/2023.12.02.569700
Citations (OpenAlex) 1

Abstract

An important element of antibody-guided vaccine design is the use of neutralizing/opsonic monoclonal antibodies to define protective epitopes in their native three-dimensional conformation. Here, we demonstrate a multi-modal mass spectrometry-based strategy for in-depth characterization of antigen-antibody complexes to enable the identification of protective epitopes using the cytolytic exotoxin Streptolysin O (SLO) from Streptococcus pyogenes as a showcase. We first discovered a monoclonal antibody with an undisclosed sequence capable of neutralizing SLO-mediated cytolysis. The amino acid sequence of both the antibody light and the heavy chain was determined using mass spectrometry-based de novo sequencing, followed by chemical crosslinking mass spectrometry to generate distance constraints between the antibody fragment antigen-binding region and SLO. Subsequent integrative computational modeling revealed a discontinuous epitope located in Domain 3 of SLO that was experimentally validated by hydrogen-deuterium exchange mass spectrometry and reverse-engineering of the targeted epitope. The results show that the antibody inhibits SLO-mediated cytolysis by binding to a discontinuous epitope in Domain 3, likely preventing oligomerization and subsequent secondary structure changes critical for pore-formation. The epitope is highly conserved across >98% of the characterized S. pyogenes isolates, making it an attractive target for antibody-based therapy and vaccine design against severe streptococcal infections.

Authors

  1. Di Tang · Lund University
  2. Carlos Gueto-Tettay · Lund University
  3. Elisabeth Hjortswang · Lund University
  4. Joel Ströbaek · Lund University
  5. Simon Ekström · Lund University
  6. Lotta Happonen · Lund University
  7. Lars Malmström · Lund University
  8. Johan Malmström · Lund University

Methods and tools

  • Streptolysin O epitope de novo workflow: Multi-modal MS workflow combining three deep-learning de novo sequencers (PointNovo, Casanovo, InstaNovo) with antibody profiling to identify a conserved protective epitope in Streptococcus pyogenes Streptolysin O.

Cites (5)

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