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Jouannet, C.

Publications and source records attributed to Jouannet, C..

2 recordsLinked to original sources

Thymic selection of the T cell receptor repertoire is biased toward autoimmunity in females

Women represent about 80% of patients with autoimmune diseases. This may partly result from sex-based differences in T cell receptor (TCR) selection during thymocyte development, potentially influenced by hormones and the lower expression of the Autoimmune Regulator (AIRE) transcription factor in females. To investigate this, we analyzed sex-specific differences in TCR generation and selection. We examined TCR repertoires in double-positive thymocytes and single-positive thymic cells, including CD8 and CD4 effector T cells and regulatory T cells (Tregs), derived from male and female organ donors. Minimal sex-based differences were observed in V and J gene usage, and there were no notable differences in TCR repertoire diversity, complementarity-determining region 3 (CDR3) length, amino acid composition, or network structure. No TCR sequences were exclusive to either sex. However, female effector T cells exhibited a significantly higher prevalence of TCRs specific to self-antigens implicated in autoimmunity compared to males, while female Tregs showed a reduced frequency of such TCRs. These differences were not observed for TCRs targeting self-antigens unrelated to autoimmunity or antigens associated with cancer or viruses. Our findings identify a sex-specific imbalance in thymic selection of TCRs with autoimmunity-associated specificities, providing mechanistic insight into the increased susceptibility of women to autoimmune diseases.

systems biology↗

Benchmarking unsupervised methods for inferring TCR specificity

Identifying T cell receptor (TCR) specificity is crucial for advancing the understanding of adaptive immunity. Despite the development of computational methods to infer TCR specificity, their performance has not been thoroughly compared. We addressed this by curating a unified database of 190,670 human TCRs with known specificities for 2,313 epitopes across 121 organisms, combining data from IEDB, McPAS-TCR, and VDJdb. Nine methods for clustering TCRs based on similarity were benchmarked against this dataset. DeepTCR demonstrated the best retention, while ClusTCR, TCRMatch, and GLIPH2 excelled in cluster purity but had lower retention. DeepTCR, Levenshtein distance, and TCRdist3 generated large clusters, with DeepTCR showing high purity. Smaller, antigen-specific clusters were produced by Hamming distance, GIANA, and iSMART. GLIPH2 and DeepTCR were the most sensitive in capturing antigen-specific TCRs. This study offers a unified TCR database and a benchmark of specificity inference methods, guiding researchers in selecting appropriate tools.

immunology↗