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Identification of antigen-specific TCR sequences based on biological and statistical enrichment in unselected individuals
Neal P. Smith, … , J. Christopher Love, Wayne G. Shreffler
Neal P. Smith, … , J. Christopher Love, Wayne G. Shreffler
Published May 25, 2021
Citation Information: JCI Insight. 2021;6(13):e140028. https://doi.org/10.1172/jci.insight.140028.
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Resource and Technical Advance Immunology

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

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Abstract

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.

Authors

Neal P. Smith, Bert Ruiter, Yamini V. Virkud, Ang A. Tu, Brinda Monian, James J. Moon, J. Christopher Love, Wayne G. Shreffler

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Figure 6

The frequency of putatively peanut-specific CDR3β sequences is highest in the Th17 subset, but the clonal expansion of putatively peanut-specific CDR3β sequences is highest in the Th2 subset.

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The frequency of putatively peanut-specific CDR3β sequences is highest i...
(A) The percentage of total read counts corresponding to a putatively peanut-specific CDR3β sequence (ps-CDR3) was highest in the Th17 subset (n = 8). (B) Th2-derived ps-CDR3s were more clonally expanded than ps-CDR3s in the other subsets. Bar represents the proportion of ps-CDR3s in a given subset based on their read count (*P < 0.01, logistic regression). (C) Jaccard index showing the degree of overlap in public and private ps-CDR3s between the T cell subsets.

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