dc.contributor.author | Huang, Aric | |
dc.contributor.author | Jin, Wei | |
dc.contributor.author | Fahad, Ahmed S | |
dc.contributor.author | Mussman, Brooklyn K | |
dc.contributor.author | Nicchia, Grazia Paola | |
dc.contributor.author | Madan, Bharat | |
dc.contributor.author | de Souza, Matheus Oliveira | |
dc.contributor.author | Griffin, J Daniel | |
dc.contributor.author | Bennett, Jeffrey L | |
dc.contributor.author | Frigeri, Antonio | |
dc.contributor.author | Berkland, Cory J | |
dc.contributor.author | DeKosky, Brandon J | |
dc.date.accessioned | 2022-10-21T15:09:38Z | |
dc.date.available | 2022-10-21T15:09:38Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://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.iso | en | |
dc.publisher | MDPI AG | en_US |
dc.relation.isversionof | 10.3390/ANTIB11020039 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | MDPI | en_US |
dc.title | Strategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Libraries | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Huang, 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.department | Massachusetts Institute of Technology. Department of Chemical Engineering | en_US |
dc.relation.journal | Antibodies | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2022-10-21T14:44:51Z | |
dspace.orderedauthors | Huang, A; Jin, W; Fahad, AS; Mussman, BK; Nicchia, GP; Madan, B; de Souza, MO; Griffin, JD; Bennett, JL; Frigeri, A; Berkland, CJ; DeKosky, BJ | en_US |
dspace.date.submission | 2022-10-21T14:44:55Z | |
mit.journal.volume | 11 | en_US |
mit.journal.issue | 2 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |