Discrimination of T-cell subsets and T-cell receptor repertoire distribution

• Published in: Immunologic research 2014, Vol.58 (1), p.20-27
• Main Authors: Bretschneider, Isabell, Clemente, Michael J., Meisel, Christian, Guerreiro, Manuel, Streitz, Mathias, Hopfenmüller, Werner, Maciejewski, Jaroslav P., Wlodarski, Marcin W., Volk, Hans-Dieter
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Aged; Algorithms; Allergology; Biomedical and Life Sciences; Biomedicine; CD4-Positive T-Lymphocytes - immunology; CD8-Positive T-Lymphocytes - immunology; Cell Differentiation - immunology; Cells; Child; Child, Preschool; Cytomegalovirus; Female; Fetal Blood - cytology; Fetal Blood - immunology; Flow Cytometry; Humans; Immunology; Immunophenotyping - methods; Infant; Infant, Newborn; Internal Medicine; Leukocytes, Mononuclear - cytology; Leukocytes, Mononuclear - immunology; Male; Medicine/Public Health; Middle Aged; Neurons; Receptors, Antigen, T-Cell - immunology; Reference Values; Statistics, Nonparametric; T-Lymphocyte Subsets - immunology; Young Adult
• ISSN: 0257-277X; 1559-0755
• DOI: 10.1007/s12026-013-8473-0

Flow cytometry-based analysis of T-cell receptor (TCR) repertoires is an essential tool for the detection of clonal T-cell expansions in physiologic and pathologic conditions. Individual T-cell subsets can be investigated based on their surface properties. The aims of our study were to provide reference values for various disease settings and delineate the contribution of individual TCR repertoires to the human T-cell differentiation pathway. We analyzed blood of 66 healthy subjects aged 0 (cord blood) to 72 years. Lymphocyte subpopulations and TCR repertoires were simultaneously explored using antibodies specific to CD3, CD4, CD8, CD45RA, CCR7, CD27, CD57 and a set of 25 antibodies detecting human TCR-Vβ chains. Statistical analysis included Wilcoxon, paired t and ANOVA tests. Initially, TCR expansion values were calculated based on the analysis of TCR-Vβ distribution on CD4+ and CD8+ T cells. We then established gating strategies and an algorithm for data analysis allowing for discrimination of T-cell subsets and TCR distribution. Dominant TCR expansions were present within effector as opposed to central/effector memory or naive cells, e.g., median TCR-Vβ expansion rate was highest on CD45RA+/CCR7− effector CD4+/8+ cells (eight and 11-fold, respectively). Remarkably, TCR expansions were missing (0) or very low (0.5) on CD4+ and CD8+ central memory population, respectively. No significant gender-related variability of TCR repertoires was identified, and significant impact of chronic cytomegalovirus infection was shown. Our results serve as reference for future studies elucidating clonal TCR dominance of T-cell subsets.