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dc.contributor.authorHuang, Aric
dc.contributor.authorJin, Wei
dc.contributor.authorFahad, Ahmed S.
dc.contributor.authorMussman, Brooklyn K.
dc.contributor.authorNicchia, Grazia Paola
dc.contributor.authorMadan, Bharat
dc.contributor.authorde Souza, Matheus Oliveira
dc.contributor.authorGriffin, J. Daniel
dc.contributor.authorBennett, Jeffrey L.
dc.contributor.authorFrigeri, Antonio
dc.contributor.authorBerkland, Cory J.
dc.contributor.authorDeKosky, Brandon J.
dc.date.accessioned2022-07-12T19:23:47Z
dc.date.available2022-07-12T19:23:47Z
dc.date.issued2022-06-05
dc.identifier.citationHuang, A.; Jin, W.; Fahad, A.S.; Mussman, B.K.; Nicchia, G.P.; Madan, B.; de Souza, M.O.; Griffin, J.D.; Bennett, J.L.; Frigeri, A.; Berkland, C.J.; DeKosky, B.J. Strategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Libraries. Antibodies 2022, 11, 39. https://doi.org/10.3390/antib11020039en_US
dc.identifier.urihttp://hdl.handle.net/1808/32836
dc.description.abstractA 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.en_US
dc.publisherMDPIen_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectYeast displayen_US
dc.subjectAntibody discoveryen_US
dc.subjectYeast library screeningen_US
dc.subjectBiopanningen_US
dc.subjectAquaporin-4en_US
dc.titleStrategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Librariesen_US
dc.typeArticleen_US
kusw.kuauthorHuang, Aric
kusw.kuauthorJin, Wei
kusw.kuauthorFahad, Ahmed S.
kusw.kuauthorMussman, Brooklyn K.
kusw.kuauthorMadan, Bharat
kusw.kuauthorde Souza, Matheus Oliveira
kusw.kuauthorGriffin, J. Daniel
kusw.kuauthorBerkland, Cory J.
kusw.kudepartmentPharmaceutical Chemistryen_US
kusw.kudepartmentChemical Engineeringen_US
kusw.kudepartmentBioengineering Graduate Programen_US
dc.identifier.doi10.3390/antib11020039en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0001-8203-4818en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-7376-9991en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0001-6406-0836en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC35735358en_US
dc.rights.accessrightsopenAccessen_US


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.