| dc.contributor.author | Dobson, Connor S | |
| dc.contributor.author | Reich, Anna N | |
| dc.contributor.author | Gaglione, Stephanie | |
| dc.contributor.author | Smith, Blake E | |
| dc.contributor.author | Kim, Ellen J | |
| dc.contributor.author | Dong, Jiayi | |
| dc.contributor.author | Ronsard, Larance | |
| dc.contributor.author | Okonkwo, Vintus | |
| dc.contributor.author | Lingwood, Daniel | |
| dc.contributor.author | Dougan, Michael | |
| dc.contributor.author | Dougan, Stephanie K | |
| dc.contributor.author | Birnbaum, Michael E | |
| dc.date.accessioned | 2023-01-27T19:43:38Z | |
| dc.date.available | 2023-01-27T19:43:38Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/147767 | |
| dc.description.abstract | Deciphering 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.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | 10.1038/S41592-022-01436-Z | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | PMC | en_US |
| dc.title | Antigen identification and high-throughput interaction mapping by reprogramming viral entry | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Dobson, 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.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.relation.journal | Nature Methods | en_US |
| dc.eprint.version | Author's final manuscript | 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 | 2023-01-27T19:11:36Z | |
| dspace.orderedauthors | Dobson, CS; Reich, AN; Gaglione, S; Smith, BE; Kim, EJ; Dong, J; Ronsard, L; Okonkwo, V; Lingwood, D; Dougan, M; Dougan, SK; Birnbaum, ME | en_US |
| dspace.date.submission | 2023-01-27T19:11:40Z | |
| mit.journal.volume | 19 | en_US |
| mit.journal.issue | 4 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |