<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Schulte D</submitter><funding>European Research Council</funding><funding>Dutch Research Council (NWO)</funding><pagination>RP101322</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12017766</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14</volume><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</pubmed_abstract><journal>eLife</journal><pubmed_title>Simultaneous polyclonal antibody sequencing and epitope mapping by cryo electron microscopy and mass spectrometry.</pubmed_title><pmcid>PMC12017766</pmcid><funding_grant_id>10.13039/100019180</funding_grant_id><funding_grant_id>101077640</funding_grant_id><funding_grant_id>Gravitation 2013 BOO,Institute for Chemical Immunology (ICI; 024.002.009)</funding_grant_id><pubmed_authors>Kall L</pubmed_authors><pubmed_authors>Siborova M</pubmed_authors><pubmed_authors>Snijder J</pubmed_authors><pubmed_authors>Schulte D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Simultaneous polyclonal antibody sequencing and epitope mapping by cryo electron microscopy and mass spectrometry.</name><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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2026-07-15T11:01:32.449Z</modification><creation>2025-07-10T03:08:58.142Z</creation></dates><accession>S-EPMC12017766</accession><cross_references><pubmed>40266252</pubmed><doi>10.7554/eLife.101322</doi></cross_references></HashMap>