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June 5th, 2025
Version: 2
University Medical Center Goettingen
bioinformatics
biorxiv

TCRanalyzer: A user-friendly tool for comprehensive analysis of T-cell diversity, dynamics and potential antigen targets

Seifert, N.Open in Google Scholar•Reinke, S.Open in Google Scholar•Kurz, N. S.Open in Google Scholar•Demmer, J. A.Open in Google Scholar•Kornrumpf, K.Open in Google Scholar•Beissbarth, T.Open in Google Scholar•Klapper, W.Open in Google Scholar•Altenbuchinger, M.Open in Google Scholar

T cells are critical for immune responses, recognizing antigens via their unique T-cell receptors (TCRs). Analyzing the diverse TCR repertoires, especially the hypervariable CDR3 region, is essential for understanding immune function in health and disease. Current TCR analysis tools often require specialized expertise, computational resources, or sacrifice biological information for efficiency. To address these limitations, we developed TCRanalyzer, a fast and comprehensive TCR analysis pipeline within a user-friendly graphical interface. TCRanalyzer covers all steps from data loading, aggregation and optional sequence clustering, to the analysis of TCR diversity metrics, clonal expansion and antigen specificity. Applied to datasets from patients with either benign or malignant tumors, TCRanalyzer identified changes in TCR clonality, clonal expansion and shifts in antigen specificity across different cohorts or following immunotherapy, thereby demonstrating its potential to dissect critical immunological processes. TCRanalyzer provides a robust and user-friendly tool for TCR sequence analysis, enhancing research in immunology and related fields.

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