Phenotypic Characterization of SLe(x)+ 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-Lewis(X) (SLe(X))- 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).