{"doi":"10.3390/antib11020039","title":"Strategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Libraries","abstract":"A rapid and effective method to identify disease-specific antibodies from clinical patients is important for understanding autoimmune diseases and for the development of effective disease therapies. In neuromyelitis optica (NMO), the identification of antibodies targeting the aquaporin-4 (AQP4) membrane protein traditionally involves the labor-intensive and time-consuming process of single B-cell sorting, followed by antibody cloning, expression, purification, and analysis for anti-AQP4 activity. To accelerate patient-specific antibody discovery, we compared two unique approaches for screening anti-AQP4 antibodies from yeast antibody surface display libraries. Our first approach, cell-based biopanning, has strong advantages for its cell-based display of native membrane-bound AQP4 antigens and is inexpensive and simple to perform. Our second approach, FACS screening using solubilized AQP4 antigens, permits real-time population analysis and precision sorting for specific antibody binding parameters. We found that both cell-based biopanning and FACS screening were effective for the enrichment of AQP4-binding clones. These screening techniques will enable library-scale functional interrogation of large natively paired antibody libraries for comprehensive analysis of anti-AQP4 antibodies in clinical samples and for robust therapeutic discovery campaigns.","journal":"Antibodies","year":2022,"id":288150,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9575,"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":535038,"name":"Wei Jun Jin","orcid":"0000-0002-4796-5390","position":1,"is_corresponding":false},{"id":302417,"name":"Ahmed S. Fahad","orcid":"0000-0002-5088-9333","position":2,"is_corresponding":false},{"id":535795,"name":"Brooklyn K. Mussman","orcid":null,"position":3,"is_corresponding":false},{"id":352969,"name":"Grazia Paola Nicchia","orcid":"0000-0002-4257-514X","position":4,"is_corresponding":false},{"id":302419,"name":"Bharat Madan","orcid":"0000-0002-7376-9991","position":5,"is_corresponding":false},{"id":302420,"name":"Matheus Oliveira de Souza","orcid":"0000-0003-0357-1995","position":6,"is_corresponding":false},{"id":431788,"name":"J. Daniel Griffin","orcid":"0000-0002-8316-6414","position":7,"is_corresponding":false},{"id":226913,"name":"Jeffrey L. Bennett","orcid":"0000-0002-3346-1394","position":8,"is_corresponding":false},{"id":352966,"name":"Antonio Frigeri","orcid":"0000-0002-5284-2934","position":9,"is_corresponding":false},{"id":431789,"name":"Cory Berkland","orcid":"0000-0002-9346-938X","position":10,"is_corresponding":false},{"id":108827,"name":"Brandon J. DeKosky","orcid":"0000-0001-6406-0836","position":11,"is_corresponding":false},{"id":506740,"name":"Aric Huang","orcid":"0000-0001-8203-4818","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:30:11.069895Z","pmid":"35735358","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":[]}