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Increasing sensitivity of antibody-antigen interactions using photo-cross-linking

Understanding antibody-antigen interactions in a polyclonal immune response in humans and animal models is critical for rational vaccine design. Current approaches typically characterize antibodies that are functionally relevant or highly abundant. Here, we use photo-cross-linking and single-particl...

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Detalles Bibliográficos
Autores principales: Torrents de la Peña, Alba, Sewall, Leigh M., de Paiva Froes Rocha, Rebeca, Jackson, Abigail M., Pratap, Payal P., Bangaru, Sandhya, Cottrell, Christopher A., Mohanty, Subhasis, Shaw, Albert C., Ward, Andrew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326447/
https://www.ncbi.nlm.nih.gov/pubmed/37426749
http://dx.doi.org/10.1016/j.crmeth.2023.100509
Descripción
Sumario:Understanding antibody-antigen interactions in a polyclonal immune response in humans and animal models is critical for rational vaccine design. Current approaches typically characterize antibodies that are functionally relevant or highly abundant. Here, we use photo-cross-linking and single-particle electron microscopy to increase antibody detection and unveil epitopes of low-affinity and low-abundance antibodies, leading to a broader structural characterization of polyclonal immune responses. We employed this approach across three different viral glycoproteins and showed increased sensitivity of detection relative to currently used methods. Results were most noticeable in early and late time points of a polyclonal immune response. Additionally, the use of photo-cross-linking revealed intermediate antibody binding states and demonstrated a distinctive way to study antibody binding mechanisms. This technique can be used to structurally characterize the landscape of a polyclonal immune response of patients in vaccination or post-infection studies at early time points, allowing for rapid iterative design of vaccine immunogens.