OMIP ‐031: Immunologic checkpoint expression on murine effector and memory T ‐cell subsets
Year: 2016
Type: article
Abstract: This panel was designed to assess the expression levels of cell surface inhibitory receptors known as "immune checkpoints" within the context of multiple naïve, activated, memory, and effector phenotypes among T-cells for subsequent adoptive transfer using the CD45.1/CD45.2 congenic system in C57BL/6 mice. It can be easily adapted to other congenic systems, or may be used without any congenic marker. While many panels have been published that analyze T-cell activation, memory phenotypes, or effector differentiation states, few, if any, are comprehensive enough to assess these compartments simultaneously while measuring inhibitory immune checkpoint receptor expression. The ability to do so within a congenic system creates a powerful tool for investigating the evolution of T-cell based immune responses in a broad range of contexts. Here, the panel is used to analyze the T-cell compartment in normal spleen, or T-cells infiltrating subcutaneous murine colon adenocarcinoma, MC38. However, any murine source of T-cells would serve as an appropriate sample source for this panel. Upon activation, T-cells undergo a high rate of proliferation, and alter the expression of numerous genes associated with effector response, or with supportive function. This is followed by a contraction period in which the majority of activated T-cells die off and a remaining minority of antigen-specific T-cells transition into one of multiple longer-lived memory T-cell phenotypes capable of future reactivation in the event of antigen re-encounter. Concomitant with T-cell activation and subsequent memory formation are alterations in cell surface protein expression that can be used to classify T-cell subsets and identify their activation or memory state. This panel is built upon a basic framework that allows for a comprehensive overview of these subpopulations (Table 1). It includes CD69, which is a traditional marker for T-cell activation that is one of the earliest inducible proteins on the cell surface following activation of both helper T-cells (TH), and cytotoxic T-cells (TC), which can be identified using CD3 and CD4, or CD3 and CD8, respectively. Following activation, T-cells down-regulate CD45RA and up-regulate other higher molecular weight CD45 isoforms 1. While several cases of CD45RA re-expression have been reported on chronically stimulated T-cells 2, 3, CD45RA is generally considered a naïve T-cell marker. As T-cells transition into memory phenotypes, the expression of CD44 increases from low to high. Thus, naïve and memory T helper (TH) and T cytotoxic (TC) cells can be identified by discriminating CD44low and CD45high populations and by CD45RA+ and CD45RA− populations. The two major subtypes of memory T-cells, central memory (CM), and effector memory (EM), have been conventionally defined by differential expression of CD62L and CD27. While a number of cell surface molecules have been reported to discriminate these memory subpopulations, it is also appreciated that a degree of plasticity exists between CM and EM T-cells resulting in incomplete overlap among CM/EM markers. This is particularly true among TH cells 4. Therefore, the use of multiple EM/CM markers increases the power to effectively resolve these populations or identify transitional phenotypes. In this panel, CM can be identified as CD62L+ and/or CD27+ cells, while EM can be identified as CD62L− and/or CD27−. How it is determined which activated effector T-cells die off during contraction, and which go on to persist as memory T-cells has been an outstanding question in immunology. Recent work has identified two subsets of effector T-cells that can be identified by CD127 and KLRG1 that are associated heightened cytotoxic function and subsequent die off or pre-destination for memory formation. Activated T-cells undergo a transient down-regulation of both KLRG1 and CD127. This brief state is followed by up-regulation of either CD127 or KLRG1. Short-lived effector cells (SLECs) express lower levels of CD127 and heightened levels of KLRG1 while memory precursor cells (MPEC) express higher levels of CD127 and lower levels of KLRG1 5, 6. Finally, this panel also measures the levels of inhibitory receptors recently defined as immunological "checkpoint," due to the transient nature of their expression following activation, and their potent inhibitory potential upon interaction with cognate ligands 7-12. Included in this panel are the inhibitory checkpoint receptors TIM3, LAG-3, PD-1, and CTLA-4 (Table 2). To demonstrate how overall naïve, activated, memory, and effector phenotypes can change, labeled infiltrating T-cells from a single cell suspension of resected orthotropic MC38 tumor grown in C57BL/6 mice are overlaid on labeled T-cells from normal murine C57BL/6 spleen (Fig. 1). Please refer to the online Supporting Information for details regarding panel development. Example gating schema. A: Single cells were gated using forward scatter height versus width parameters followed by side scatter height versus width parameters. Lymphocytes were then gated using forward scatter area versus side scatter area, followed by viability gating using DAPI. TH and TC cells were then selected by gating on CD45.2+ CD3+ cells followed by gating on CD4+ or CD8+ cells. Black arrows = gated cells. B: Early activation and differentiation states can be analyzed using KLRG1 versus CD127 to define SLEC and MPEC populations and CD69 can be used to demark currently activated T-cells. T-cells from healthy C57BL/6 spleen are shown in red, and MC-38 tumor-infiltrating T-cells are overlaid in blue to demonstrate changes in phenotype and differentiation state that may be observed in this panel. Green arrows = gated CD8+ T-cells, orange arrows = gated CD4+ cells. C: Conventional memory phenotypes including naïve (N), central memory (CM), effector memory (EM), and effector T-cells can be analyzed using a combination of CD44 or CD45RA versus CD27 or CD62L staining. D: Four immune checkpoint markers may also be analyzed using this panel: PD-1, LAG-3, TIM3, and CTLA-4. Gate percentages in overlaid plots represent analysis from MC-38 tumor-infiltrating T-cell samples. Gates were placed according to fluorescence-minus-one (FMO) controls. Additional Supporting Information may be found in the online version of this article. Supporting Information Supporting Information Supporting Information Supporting Information Supporting Information Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Source: Cytometry Part A
DOI: 10.1002/cyto.a.22808
Authors: Satoshi Nemoto, Adam W. Mailloux, Jodi Kroeger, James J. Mulé
Institution: Moffitt Cancer Center
Language: English
Topic: T-cell and B-cell Immunology
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2304114102