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dc.contributor.authorSmith, Neal P
dc.contributor.authorRuiter, Bert
dc.contributor.authorVirkud, Yamini V
dc.contributor.authorTu, Ang A
dc.contributor.authorMonian, Brinda
dc.contributor.authorMoon, James J
dc.contributor.authorLove, J Christopher
dc.contributor.authorShreffler, Wayne G
dc.date.accessioned2021-10-27T20:24:20Z
dc.date.available2021-10-27T20:24:20Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/135626
dc.description.abstractRecent advances in high-throughput T cell receptor (TCR) sequencing have allowed for new insights into the human TCR repertoire. However, methods for capturing antigen-specific repertoires remain an area of development. Here, we describe a potentially novel approach that utilizes both a biological and statistical enrichment to define putatively antigen-specific complementarity-determining region 3 (CDR3) repertoires in unselected individuals. The biological enrichment entailed FACS of in vitro antigen-activated memory CD4+ T cells, followed by TCRβ sequencing. The resulting TCRβ sequences were then filtered by selecting those that are statistically enriched when compared with their frequency in the autologous resting T cell compartment. Applying this method to define putatively peanut protein-specific repertoires in 27 peanut-allergic individuals resulted in a library of 7345 unique CDR3β amino acid sequences that had similar characteristics to other validated antigen-specific repertoires in terms of homology and diversity. In-depth analysis of these CDR3βs revealed 36 public sequences that demonstrated high levels of convergent recombination. In a network analysis, the public CDR3βs were shown to be core sequences with more edges than their private counterparts. This method has the potential to be applied to a wide range of T cell-mediated disorders and to yield new biomarkers and biological insights.
dc.language.isoen
dc.publisherAmerican Society for Clinical Investigation
dc.relation.isversionof10.1172/jci.insight.140028
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceAmerican Society for Clinical Investigation
dc.titleIdentification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.relation.journalJCI Insight
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-07-12T12:37:55Z
dspace.orderedauthorsSmith, NP; Ruiter, B; Virkud, YV; Tu, AA; Monian, B; Moon, JJ; Love, JC; Shreffler, WG
dspace.date.submission2021-07-12T12:37:57Z
mit.journal.volume6
mit.journal.issue13
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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