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dc.contributor.authorDobson, Connor S
dc.contributor.authorReich, Anna N
dc.contributor.authorGaglione, Stephanie
dc.contributor.authorSmith, Blake E
dc.contributor.authorKim, Ellen J
dc.contributor.authorDong, Jiayi
dc.contributor.authorRonsard, Larance
dc.contributor.authorOkonkwo, Vintus
dc.contributor.authorLingwood, Daniel
dc.contributor.authorDougan, Michael
dc.contributor.authorDougan, Stephanie K
dc.contributor.authorBirnbaum, Michael E
dc.date.accessioned2023-01-27T19:43:38Z
dc.date.available2023-01-27T19:43:38Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147767
dc.description.abstractDeciphering immune recognition is critical for understanding a broad range of diseases and for the development of effective vaccines and immunotherapies. Efforts to do so are limited by a lack of technologies capable of simultaneously capturing the complexity of adaptive immunoreceptor repertoires and the landscape of potential antigens. To address this, we present receptor-antigen pairing by targeted retroviruses, which combines viral pseudotyping and molecular engineering approaches to enable one-pot library-on-library interaction screens by displaying antigens on the surface of lentiviruses and encoding their identity in the viral genome. Antigen-specific viral infection of cell lines expressing human T or B cell receptors allows readout of both antigen and receptor identities via single-cell sequencing. The resulting system is modular, scalable and compatible with any cell type. These techniques provide a suite of tools for targeted viral entry, molecular engineering and interaction screens with broad potential applications.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41592-022-01436-Zen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleAntigen identification and high-throughput interaction mapping by reprogramming viral entryen_US
dc.typeArticleen_US
dc.identifier.citationDobson, Connor S, Reich, Anna N, Gaglione, Stephanie, Smith, Blake E, Kim, Ellen J et al. 2022. "Antigen identification and high-throughput interaction mapping by reprogramming viral entry." Nature Methods, 19 (4).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.relation.journalNature Methodsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-01-27T19:11:36Z
dspace.orderedauthorsDobson, CS; Reich, AN; Gaglione, S; Smith, BE; Kim, EJ; Dong, J; Ronsard, L; Okonkwo, V; Lingwood, D; Dougan, M; Dougan, SK; Birnbaum, MEen_US
dspace.date.submission2023-01-27T19:11:40Z
mit.journal.volume19en_US
mit.journal.issue4en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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