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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.accessioned2022-10-21T15:09:38Z
dc.date.available2022-10-21T15:09:38Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/145920
dc.description.abstract<jats:p>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.</jats:p>en_US
dc.language.isoen
dc.publisherMDPI AGen_US
dc.relation.isversionof10.3390/ANTIB11020039en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMDPIen_US
dc.titleStrategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Librariesen_US
dc.typeArticleen_US
dc.identifier.citationHuang, Aric, Jin, Wei, Fahad, Ahmed S, Mussman, Brooklyn K, Nicchia, Grazia Paola et al. 2022. "Strategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Libraries." Antibodies, 11 (2).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalAntibodiesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-10-21T14:44:51Z
dspace.orderedauthorsHuang, A; Jin, W; Fahad, AS; Mussman, BK; Nicchia, GP; Madan, B; de Souza, MO; Griffin, JD; Bennett, JL; Frigeri, A; Berkland, CJ; DeKosky, BJen_US
dspace.date.submission2022-10-21T14:44:55Z
mit.journal.volume11en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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