Phenotypic Characterization of SLex+ and CLA+ CD4+ T Cells

Recent advances in high-resolution multiparametric flow cytometry enable ever deeper analysis of human lymphocyte subsets that require rigorous methodology development and optimization. Here, we detail methods to characterize glycosylated Sialyl-LewisX (SLeX)- or cutaneous lymphocyte-associated antigen (CLA)-expressing CD4+ T cells using two separate multiparametric flow cytometry panels enabling the identification of memory subsets, Th subsets, and expression of diverse activation markers and chemokine receptors. The proposed protocol allows optimal resolution of the measured parameters while minimizing background in a 25-parameter experiment. For complete details on the use and execution of this protocol, please refer to Colomb et al. (2020). [Display omitted] •25-parameter panels for glycosylated CD4+ T cell deep immune profiling•Characterization of memory subsets and Th profiles on CD4+ T cells•Quantification of expression levels of many activation markers and chemokine receptors•Optimal resolution and minimal background Recent advances in high-resolution multiparametric flow cytometry enable ever deeper analysis of human lymphocyte subsets that require rigorous methodology development and optimization. Here, we detail methods to characterize glycosylated Sialyl-LewisX (SLeX)- or cutaneous lymphocyte-associated antigen (CLA)-expressing CD4+ T cells using two separate multiparametric flow cytometry panels enabling the identification of memory subsets, Th subsets, and expression of diverse activation markers and chemokine receptors. The proposed protocol allows optimal resolution of the measured parameters while minimizing background in a 25-parameter experiment.