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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Clinical Investigation
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410028/ https://www.ncbi.nlm.nih.gov/pubmed/34032640 http://dx.doi.org/10.1172/jci.insight.140028 |
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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. |
author_facet | 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 | PubMed |
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. |
format | Online Article Text |
id | pubmed-8410028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
spelling | pubmed-84100282021-09-07 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. JCI Insight Resource and Technical Advance 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. American Society for Clinical Investigation 2021-07-08 /pmc/articles/PMC8410028/ /pubmed/34032640 http://dx.doi.org/10.1172/jci.insight.140028 Text en © 2021 Smith et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Resource and Technical Advance 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 |
topic | Resource and Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410028/ https://www.ncbi.nlm.nih.gov/pubmed/34032640 http://dx.doi.org/10.1172/jci.insight.140028 |
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