title: Multiparameter grouping delineates heterogeneous populations of human IL-17 and/or IL-22 T-cell producers that share antigen specificities with other T-cell subsets.
abstract: The ontogenic relationship between pro-inflammatory populations of interleukin-17 (IL-17A)- and/or IL-22-producing T cells and other T-cell subsets is currently unclear in humans. To appreciate T helper cell-lineage commitment, we combined cytokine production profiles of in vitro expanded T-cell clones with T-cell receptor (TCR) clonotypic signatures. Moreover, ex vivo cytokine production profiles at the single-cell level were analyzed using an original approach based on the hierarchical cluster analysis of multiparametric flow cytometry data. These combined approaches enabled the delineation of distinct functional T-cell subsets, including Th1, Th2, Tr1, Th17 cells and a highly polyfunctional IL-22-producing T-cell population. Cluster analysis highlighted that the IL-22-producing T-cell population should be considered independently from the Th17 and Th1 subsets, although it was more closely related to the former. In parallel, we observed extensive TCRαβ sharing across all five subsets defined. The strategy described here allows the objective definition of cellular subsets and an unbiased insight into their similarities. Together, our results underscore the ontogenic plasticity of CD4(+)  T-cell progenitors, which can adopt a differentiation profile irrespective of antigen specificity.
authors.affiliation: Institut National de Santé et de Recherche Médicale (Inserm) UMR-S, Paris, France.
authors.forename: Martin
authors.initials: M
authors.lastname: Larsen
authors.forename: Laurent
authors.initials: L
authors.lastname: Arnaud
authors.forename: Miguel
authors.initials: M
authors.lastname: Hié
authors.forename: Christophe
authors.initials: C
authors.lastname: Parizot
authors.forename: Karim
authors.initials: K
authors.lastname: Dorgham
authors.forename: Mohamed
authors.initials: M
authors.lastname: Shoukry
authors.forename: Mathilde
authors.initials: M
authors.lastname: Kemula
authors.forename: Stéphane
authors.initials: S
authors.lastname: Barete
authors.forename: David
authors.initials: D
authors.lastname: Derai
authors.forename: Delphine
authors.initials: D
authors.lastname: Sauce
authors.forename: Zahir
authors.initials: Z
authors.lastname: Amoura
authors.forename: Jérôme
authors.initials: J
authors.lastname: Pène
authors.forename: Hans
authors.initials: H
authors.lastname: Yssel
authors.forename: Guy
authors.initials: G
authors.lastname: Gorochov
mesh_terms: D000943:Antigens, Differentiation / Q000378:metabolism; D002454:Cell Differentiation; D019070:Cell Lineage; D002469:Cell Separation; D002999:Clone Cells; D005434:Flow Cytometry; D006801:Humans; D016130:Immunophenotyping / Q000379:methods; D020381:Interleukin-17 / Q000378:metabolism*; D007378:Interleukins / Q000378:metabolism*; D011948:Receptors, Antigen, T-Cell / Q000378:metabolism; D037182:T-Cell Antigen Receptor Specificity; D016176:T-Lymphocyte Subsets / Q000166:cytology / Q000276:immunology / Q000378:metabolism*; D018417:Th1 Cells / Q000166:cytology / Q000276:immunology / Q000378:metabolism*; D018418:Th2 Cells / Q000166:cytology / Q000276:immunology / Q000378:metabolism*; D000097043:Interleukin-22
chemical_list: D000943:Antigens, Differentiation; D020381:Interleukin-17; D007378:Interleukins; D011948:Receptors, Antigen, T-Cell; D000097043:Interleukin-22