{"doi":"10.3389/fimmu.2022.977064","title":"Mapping monoclonal anti-SARS-CoV-2 antibody repertoires against diverse coronavirus antigens","abstract":"Variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have emerged continuously, challenging the effectiveness of vaccines, diagnostics, and treatments. Moreover, the possibility of the appearance of a new betacoronavirus with high transmissibility and high fatality is reason for concern. In this study, we used a natively paired yeast display technology, combined with next-generation sequencing (NGS) and massive bioinformatic analysis to perform a comprehensive study of subdomain specificity of natural human antibodies from two convalescent donors. Using this screening technology, we mapped the cross-reactive responses of antibodies generated by the two donors against SARS-CoV-2 variants and other betacoronaviruses. We tested the neutralization potency of a set of the cross-reactive antibodies generated in this study and observed that most of the antibodies produced by these patients were non-neutralizing. We performed a comparison of the specific and non-specific antibodies by somatic hypermutation in a repertoire-scale for the two individuals and observed that the degree of somatic hypermutation was unique for each patient. The data from this study provide functional insights into cross-reactive antibodies that can assist in the development of strategies against emerging SARS-CoV-2 variants and divergent betacoronaviruses.","journal":"Frontiers in Immunology","year":2022,"id":267711,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9618,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":302419,"name":"Bharat Madan","orcid":"0000-0002-7376-9991","position":1,"is_corresponding":false},{"id":229156,"name":"I‐Ting Teng","orcid":"0000-0002-4704-7100","position":2,"is_corresponding":false},{"id":506740,"name":"Aric Huang","orcid":"0000-0001-8203-4818","position":3,"is_corresponding":false},{"id":105618,"name":"Lihong Liu","orcid":"0000-0003-3128-8513","position":4,"is_corresponding":false},{"id":302417,"name":"Ahmed S. Fahad","orcid":"0000-0002-5088-9333","position":5,"is_corresponding":false},{"id":302418,"name":"Sheila N. López Acevedo","orcid":"0000-0003-2778-4696","position":6,"is_corresponding":false},{"id":302421,"name":"Xiaoli Pan","orcid":"0000-0002-5033-7272","position":7,"is_corresponding":false},{"id":229981,"name":"Mallika Sastry","orcid":null,"position":8,"is_corresponding":false},{"id":236781,"name":"Matías Gutiérrez-González","orcid":"0000-0002-9729-6850","position":9,"is_corresponding":false},{"id":105635,"name":"Michael T. Yin","orcid":"0000-0002-9346-9056","position":10,"is_corresponding":false},{"id":105631,"name":"Tongqing Zhou","orcid":"0000-0002-3935-4637","position":11,"is_corresponding":false},{"id":104013,"name":"David D. Ho","orcid":"0000-0003-1627-149X","position":12,"is_corresponding":false},{"id":105633,"name":"Peter D. Kwong","orcid":"0000-0003-3560-232X","position":13,"is_corresponding":false},{"id":108827,"name":"Brandon J. DeKosky","orcid":"0000-0001-6406-0836","position":14,"is_corresponding":false},{"id":302420,"name":"Matheus Oliveira de Souza","orcid":"0000-0003-0357-1995","position":0,"is_corresponding":true}],"reference_count":79,"raw_metadata":null,"created_at":"2026-07-19T00:27:06.198948Z","pmid":"36119018","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}