Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals

Recent 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 a...

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Main Authors: Smith, Neal P, Ruiter, Bert, Virkud, Yamini V, Tu, Ang A, Monian, Brinda, Moon, James J, Love, J Christopher, Shreffler, Wayne G
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: American Society for Clinical Investigation 2021
Online Access:https://hdl.handle.net/1721.1/135626
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author Smith, Neal P
Ruiter, Bert
Virkud, Yamini V
Tu, Ang A
Monian, Brinda
Moon, James J
Love, J Christopher
Shreffler, Wayne G
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Smith, Neal P
Ruiter, Bert
Virkud, Yamini V
Tu, Ang A
Monian, Brinda
Moon, James J
Love, J Christopher
Shreffler, Wayne G
author_sort Smith, Neal P
collection MIT
description Recent 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.
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spelling mit-1721.1/1356262023-10-06T19:50:29Z Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals Smith, Neal P Ruiter, Bert Virkud, Yamini V Tu, Ang A Monian, Brinda Moon, James J Love, J Christopher Shreffler, Wayne G Massachusetts Institute of Technology. Department of Physics Recent 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. 2021-10-27T20:24:20Z 2021-10-27T20:24:20Z 2021 2021-07-12T12:37:55Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135626 en 10.1172/jci.insight.140028 JCI Insight Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf American Society for Clinical Investigation American Society for Clinical Investigation
spellingShingle Smith, Neal P
Ruiter, Bert
Virkud, Yamini V
Tu, Ang A
Monian, Brinda
Moon, James J
Love, J Christopher
Shreffler, Wayne G
Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
title Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
title_full Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
title_fullStr Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
title_full_unstemmed Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
title_short Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
title_sort identification of antigen specific tcr sequences based on biological and statistical enrichment in unselected individuals
url https://hdl.handle.net/1721.1/135626
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