{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Schulte D"],"funding":["European Research Council","Dutch Research Council (NWO)"],"pagination":["RP101322"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12017766"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14"],"pubmed_abstract":["Antibodies are a major component of adaptive immunity against invading pathogens. Here, we explore possibilities for an analytical approach to characterize the antigen-specific antibody repertoire directly from the secreted proteins in convalescent serum. This approach aims to perform simultaneous antibody sequencing and epitope mapping using a combination of single particle cryo-electron microscopy (cryoEM) and bottom-up proteomics techniques based on mass spectrometry (LC-MS/MS). We evaluate the performance of the deep-learning tool ModelAngelo in determining de novo antibody sequences directly from reconstructed 3D volumes of antibody-antigen complexes. We demonstrate that while map quality is a critical bottleneck, it is possible to sequence antibody variable domains from cryoEM recons"],"journal":["eLife"],"pubmed_title":["Simultaneous polyclonal antibody sequencing and epitope mapping by cryo electron microscopy and mass spectrometry."],"pmcid":["PMC12017766"],"funding_grant_id":["10.13039/100019180","101077640","Gravitation 2013 BOO,Institute for Chemical Immunology (ICI; 024.002.009)"],"pubmed_authors":["Kall L","Siborova M","Snijder J","Schulte D"],"additional_accession":[]},"is_claimable":false,"name":"Simultaneous polyclonal antibody sequencing and epitope mapping by cryo electron microscopy and mass spectrometry.","description":"Antibodies are a major component of adaptive immunity against invading pathogens. Here, we explore possibilities for an analytical approach to characterize the antigen-specific antibody repertoire directly from the secreted proteins in convalescent serum. This approach aims to perform simultaneous antibody sequencing and epitope mapping using a combination of single particle cryo-electron microscopy (cryoEM) and bottom-up proteomics techniques based on mass spectrometry (LC-MS/MS). We evaluate the performance of the deep-learning tool ModelAngelo in determining de novo antibody sequences directly from reconstructed 3D volumes of antibody-antigen complexes. We demonstrate that while map quality is a critical bottleneck, it is possible to sequence antibody variable domains from cryoEM recons","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2026-07-15T11:01:32.449Z","creation":"2025-07-10T03:08:58.142Z"},"accession":"S-EPMC12017766","cross_references":{"pubmed":["40266252"],"doi":["10.7554/eLife.101322"]}}