ArticlePloS one2016
Cross-Neutralising Nanobodies Bind to a Conserved Pocket in the Hemagglutinin Stem Region Identified Using Yeast Display and Deep Mutational Scanning.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Time-Multiplexed Organic Electrochemical Transistor for Saliva-Based Rapid Detection of Viral Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Scanning the horizon: deep mutational scanning approaches in virology.Journal of virology · 2026Review
- Article
- Live-cell single-vRNP imaging identifies viral gene expression signatures that shape influenza infection heterogeneity.Cell systems · 2026Article
- A Mammalian Surface Display Platform to Optimize the Antigenicity of Viral Proteins for Vaccine Design.bioRxiv : the preprint server for biology · 2026Article
- Nanobodies: a new frontier in influenza virus neutralization.Folia microbiologica · 2025Review
- Deep mutational scanning and CRISPR-engineered viruses: tools for evolutionary and functional genomics studies.mSphere · 2025Review
- Small but Mighty: Nanobodies in the Fight Against Infectious Diseases.Biomolecules · 2025Review
- Susceptibility of broad reactivity nanobodies to resistance mutations in the S2 domain of SARS-CoV-2 predicted by yeast display deep mutational scanning.Frontiers in immunology · 2025Article
- Nanobodies: From High-Throughput Identification to Therapeutic Development.Molecular & cellular proteomics : MCP · 2024Review
- Review
- Mammalian Antigen Display for Pandemic Countermeasures.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Therapeutic applications of nanobodies against SARS-CoV-2 and other viral infections: Current update.International journal of biological macromolecules · 2023Review
- Massively-multiplexed epitope mapping techniques for viral antigen discovery.Frontiers in immunology · 2023Review
- Article
- Development of an ELISA-Based Potency Assay for Inactivated Influenza Vaccines Using Cross-Reactive Nanobodies.Vaccines · 2022Article
- Understanding and Modulating Antibody Fine Specificity: Lessons from Combinatorial Biology.Antibodies (Basel, Switzerland) · 2022Review
- Review
- Advances in antibody discovery from human BCR repertoires.Frontiers in bioinformatics · 2022Review
- Yeast Surface Display for Protein Engineering: Library Generation, Screening, and Affinity Maturation.Methods in molecular biology (Clifton, N.J.) · 2022Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Cross-neutralising monoclonal antibodies against influenza hemagglutinin (HA) are of considerable interest as both therapeutics and diagnostic tools. We have recently described five different single domain antibodies (nanobodies) which share this cross-neutralising activity and suggest their small size, high stability, and cleft binding properties may present distinct advantages over equivalent conventional antibodies. We have used yeast display in combination with deep mutational scanning to give residue level resolution of positions in the antibody-HA interface which are crucial for binding. In addition, we have mapped positions within HA predicted to have minimal effect on antibody binding when mutated. Our cross-neutralising nanobodies were shown to bind to a highly conserved pocket in the HA2 domain of A(H1N1)pdm09 influenza virus overlapping with the fusion peptide suggesting their mechanism of action is through the inhibition of viral membrane fusion. We also note that the epitope overlaps with that of CR6261 and F10 which are human monoclonal antibodies in clinical development as immunotherapeutics. Although all five nanobodies mapped to the same highly conserved binding pocket we observed differences in the size of the epitope footprint which has implications in comparing the relative genetic barrier each nanobody presents to a rapidly evolving influenza virus. To further refine our epitope map, we have re-created naturally occurring mutations within this HA stem epitope and tested their effect on binding using yeast display. We have shown that a D46N mutation in the HA2 stem domain uniquely interferes with binding of R2b-E8. Further testing of this substitution in the context of full length purified HA from 1918 H1N1 pandemic (Spanish flu), 2009 H1N1 pandemic (swine flu) and highly pathogenic avian influenza H5N1 demonstrated binding which correlated with D46 whereas binding to seasonal H1N1 strains carrying N46 was absent. In addition, our deep sequence analysis predicted that binding to the emerging H1N1 strain (A/Christchurch/16/2010) carrying the HA2-E47K mutation would not affect binding was confirmed experimentally. This demonstrates yeast display, in combination with deep sequencing, may be able to predict antibody reactivity to emerging influenza strains so assisting in the preparation for future influenza pandemics.
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