Defining iNKT Cell Subsets and Their Function by Flow Cytometry

Abstract

AbstractThis article discusses methods to assess invariant natural killer T (iNKT) cell subsets isolated from the thymus, as well as the spleen, the liver, and the lung. iNKT cells can be subdivided in distinct, functional subsets based on the transcription factors they express and the cytokines they produce to regulate the immune response. Basic Protocol 1 focuses on characterizing murine iNKT subsets ex vivo by flow cytometry by evaluating the expression of lineage‐specifying transcription factors such as PLZF and RORγt. The Alternate Protocol describes a detailed approach to define subsets based on expression of surface markers. This approach can be very useful for maintaining the subsets alive, without fixing them, in order to isolate them for downstream molecular assays such as DNA/RNA isolation, genome‐wide analysis to assess gene expression (such as RNA‐seq), assessment of chromatin accessibility (for instance, by ATAC‐seq), and assessment of DNA methylation by whole‐genome bisulfite sequencing. Basic Protocol 2 describes the functional characterization of iNKT cells, which are activated in vitro with PMA and ionomycin for a short period of time and subsequently stained and characterized for production of cytokines, such as IFNγ and IL‐4, by flow cytometry. Basic Protocol 3 describes the process of activating iNKT cells in vivo using α‐galactosyl‐ceramide, a lipid that can be recognized specifically by iNKT cells, allowing assessment of their functionality in vivo. Cells are then isolated and directly stained for cytokine secretion. © 2023 Wiley Periodicals LLC.Basic Protocol 1: Identifying iNKT cell subsets based on transcription factor expression by flow cytometryAlternate Protocol: Identifying iNKT cell subsets based on surface marker expression by flow cytometryBasic Protocol 2: iNKT cell functional characterization based on in vitro activation and assessment of cytokine secretionBasic Protocol 3: iNKT cell in vivo activation and assessment of cytokine secretion by flow cytometry