Selective regulation of IFN-γ and IL-4 co-producing unconventional T cells by purinergic signaling

Xu et al. reveal that the ARTC2–P2RX7 regulatory axis is a key modulator of unconventional T-cell survival. Their findings show how this pathway selectively influences innate-like, IFN-γ and IL-4 co-producing T cells, providing insights into immune regulation during tissue damage.

Abstract

Unconventional T cells, including mucosal-associated invariant T (MAIT), natural killer T (NKT), and gamma-delta T (γδT) cells, comprise distinct T-bet⁺, IFN-γ⁺ and RORγt⁺, IL-17⁺ subsets which play differential roles in health and disease. NKT1 cells are susceptible to ARTC2-mediated P2X7 receptor (P2RX7) activation, but the effects on other unconventional T-cell types are unknown. Here, we show that MAIT, γδT, and NKT cells express P2RX7 and are sensitive to P2RX7-mediated cell death. Mouse peripheral T-bet⁺ MAIT1, γδT1, and NKT1 cells, especially in liver, co-express ARTC2 and P2RX7. These markers could be further upregulated upon exposure to retinoic acid. Blocking ARTC2 or inhibiting P2RX7 protected MAIT1, γδT1, and NKT1 cells from cell death, enhanced their survival in vivo, and increased the number of IFN-γ–secreting cells without affecting IL-17 production. Importantly, this revealed the existence of IFN-γ and IL-4 co-producing unconventional T-cell populations normally lost upon isolation due to ARTC2/P2RX7-induced death. Administering extracellular NAD in vivo activated this pathway, depleting P2RX7-sensitive unconventional T cells. Our study reveals ARTC2/P2RX7 as a common regulatory axis modulating the unconventional T-cell compartment, affecting the viability of IFN-γ– and IL-4–producing T cells, offering important insights to facilitate future studies into how these cells can be regulated in health and disease.

Introduction

Unconventional T-cell lineages, including MR1-restricted mucosal-associated invariant T (MAIT) cells, CD1d-restricted natural killer T (NKT) cells, and gamma-delta T (γδT) cells, are characterized by their specificity for non-peptide antigens, and rapid and potent cytokine production immediately upon activation (Godfrey et al., 2015). Their “innate-like” effector function is imbued during thymic development and is thought to be dependent on the master transcription factor, promyelocytic leukemia zinc finger (PLZF) (Koay et al., 2016; Kreslavsky et al., 2009; Lu et al., 2015; Pellicci et al., 2020; Savage et al., 2008). Developing MAIT, NKT, and some γδT cells differentially switch on other lineage-defining transcription factors, including T-bet, RORγt, and GATA-3, that drive their differentiation into mature and functionally distinct subsets (Mayassi et al., 2021; Pellicci et al., 2020). Generally, T-bet⁺ MAIT1, γδT1, and NKT1 cells produce IFN-γ, while RORγt⁺ MAIT17, γδT17, and NKT17 cells produce IL-17 (Lee et al., 2020). Further highlighting their functional differences, MAIT1, γδT1, and ΝΚT1 cells preferentially accumulate in tissues such as liver and spleen, while their RORγt⁺ counterparts are enriched within lymph nodes (LNs), lungs, and skin (Chandra et al., 2023; Crosby and Kronenberg, 2018; Ribot et al., 2021; Salou et al., 2019). Though a subset of γδT and NKT cells can express GATA-3 and mainly produce IL-4, many γδT and NKT cells express GATA-3 in addition to T-bet and characteristically co-produce IFN-γ and IL-4 (Azuara et al., 1997; Gerber et al., 1999; Lee et al., 2013, 2015; Narayan et al., 2012; Pereira et al., 2013). Similarly, RORγt⁺ NKT17 cells can also express GATA-3 and co-produce IL-17 and IL-4 (Cameron and Godfrey, 2018). While MAIT cells are known to potently produce IL-17 and IFN-γ upon activation, a clear subset of IL-4–producing MAIT cells has remained elusive (Lee et al., 2020; Pellicci et al., 2020; Salou et al., 2019) despite low levels of IL-4 detected in the supernatants of stimulated mouse MAIT cells (Rahimpour et al., 2015) and chronically stimulated human MAIT cells (Kelly et al., 2019). As functionally distinct subsets of MAIT, γδT, and NKT cells play different and often opposing roles in the immune response (Mayassi et al., 2021), understanding the mechanisms that govern their diverse activity will provide insight into improving future immunotherapies that target these cells.

MAIT, γδT, and NKT cells are particularly abundant in liver, in which they compose up to 50% of T cells, and are biased towards T-bet⁺, IFN-γ–producing functional subsets (Matsuda et al., 2000; Salou et al., 2019; Xu et al., 2023). As the liver plays a central role in both immune defence and nutrient metabolism, among other roles, where gut-derived dietary and microbial antigens are brought to the liver via the portal vein, immune homeostasis in this organ must balance tolerance to innocuous antigens with resistance to pathogens (Protzer et al., 2012). Purinergic signaling may represent a regulatory mechanism here, where the detection of purine nucleotides and related compounds, including ATP and nicotinamide adenine dinucleotide (NAD), is mediated by purinergic receptors widely expressed on immune cells (Rissiek et al., 2014a, 2014b; Rivas-Yáñez et al., 2020). The release of intracellular ATP and NAD by stressed and/or damaged cells into the extracellular space can be detected by NKT cells via the purinergic P2X7 receptor (P2RX7) (Bovens et al., 2020; Rissiek et al., 2014a, 2014b). While strongly activated hepatic NKT cells can mediate liver injury, these cells are, in turn, regulated by tissue damage following liberation of NAD and ATP and consequent P2RX7 activation (Bovens et al., 2020; Kawamura et al., 2006).

In contrast to direct activation by ATP, P2RX7 can be indirectly activated by NAD in a manner dependent on the ecto-ADP-ribosyltransferase, ARTC2.2 (ARTC2) (Rissiek et al., 2015; Rivas-Yáñez et al., 2020). Extracellular NAD is a substrate for ARTC2, providing an ADP-ribosyl group for ARTC2-mediated ADP-ribosylation of P2RX7, resulting in P2RX7 activation (Seman et al., 2003). Although ARTC2-mediated P2RX7 activation is well characterized in mouse models, ARTC2 is not expressed in humans (Haag et al., 1994). Other ADP-ribosyltransferases, such as ARTC1 and ARTC5, have ADP-ribosyltransferase activity, though it is unclear whether they contribute to the NAD-mediated activation of human P2RX7 (Laing et al., 2011; Leutert et al., 2018; Cortés-Garcia et al., 2016; Hesse et al., 2022; Wennerberg et al., 2022). ATP- and NAD-induced P2RX7 activation both result in similar cellular and biochemical outcomes, where only brief exposures to low concentrations of NAD are needed to robustly drive P2RX7 activation and cell death (Rissiek et al., 2014b). Accordingly, this is termed NAD-induced cell death (NICD) (Seman et al., 2003), where P2RX7 activation is also associated with the loss of the co-stimulatory molecule, CD27, from the cell surface, and reduced production of IFN-γ and IL-4 by NKT cells after stimulation (Borges Da Silva et al., 2019; Kawamura et al., 2006; Liu and Kim, 2019; Rissiek et al., 2014a). Though ARTC2 and P2RX7 are differentially expressed on NKT-cell functional subsets (Borges Da Silva et al., 2019; Liu and Kim, 2019), it is unclear whether ARTC2-mediated P2RX7 activation affects specific cytokine-producing NKT-cell subsets. Furthermore, it is unknown whether this axis regulates MAIT and γδT cells, and the homeostasis of their functional subsets.

Here, we show that human liver and blood MAIT, γδT, and NKT cells express P2RX7 at higher levels relative to conventional T cells. Within mouse models, peripheral T-bet⁺ MAIT1, γδT1, and NKT1 cells, and other PLZF⁺ αβT-cell subsets co-expressed high levels of ARTC2 and P2RX7 in liver and, to a lesser extent, spleen. In response to cell damage during organ processing, multiple unconventional T-cell subsets upon cell culture exhibited a loss of surface CD27 expression and underwent NICD, in a manner dependent on P2RX7 activation and ARTC2 activity. Nanobody (NB)-mediated ARTC2 blockade or P2RX7 inhibition significantly increased the number of peripheral IFN-γ–producing, but not IL-17–producing, unconventional T cells upon stimulation ex vivo. Importantly, this increase was predominantly attributable to increased IL-4 and IFN-γ co-producing unconventional and other T-cell types, especially within liver, suggesting that this functionally distinct subset may be restrained by NAD released by damaged cells. Lastly, we show that intravenous administration of exogenous NAD rapidly depleted liver PLZF⁺T-bet⁺ unconventional T cells in vivo, including poorly characterized PLZF⁺ CD4⁺ and PLZF⁺ CD4⁻CD8⁻ double-negative (DN) non-MAIT/NKT αβT-cell subsets, in an ARTC2-dependent manner. Overall, our findings highlight the regulation of T-bet⁺ unconventional T cells and other PLZF⁺T-bet⁺ αβT-cell subsets by NAD-driven, ARTC2-mediated P2RX7 activation, where this axis may collectively modulate these cells in the context of tissue damage and disease.

Results

Human unconventional T cells express P2RX7

Analysis of a transcriptomic dataset (Gutierrez-Arcelus et al., 2019) on the four major unconventional T-cell populations, such as MAIT, NKT, Vδ1⁺ γδT, and Vδ2⁺ γδT cells, indicated that all these cell types express the P2RX7 gene (Fig. S1 A). Indeed, human γδT and MAIT cells were reported to express P2RX7, and γδT cells were susceptible to ATP-mediated P2RX7 activation and cell death (Winzer et al., 2022). We examined P2RX7 protein expression on MR1-5-OP-RU tetramer⁺ MAIT cells, CD1d-α-GalCer tetramer⁺ NKT cells, and γδT-cell subsets from human peripheral blood (Fig. 1 A and Fig. S1 B). This again demonstrated that P2RX7 is expressed by human unconventional T cells, although there was a wide range of expression levels on these cell types (Fig. 1 A and Fig. S1 B). P2RX7 expression was detected on both fresh blood samples and cryopreserved samples (Fig. S1 B). Furthermore, one donor (Donor 03) appeared to lack P2RX7 expression on both monocytes and T cells (Fig. S1, B and C). This variability may be attributed to single nucleotide polymorphisms within the highly polymorphic P2RX7 gene locus, which are common in humans, impacting P2RX7 protein expression and function (Fuller et al., 2009; Schäfer et al., 2022). Taken together, these data support the concept that human unconventional T cells express P2RX7. While we found an increase in P2RX7 expression among unconventional T cells compared to conventional T cells (Fig. 1 A; and Fig. S1, B and D), in some individuals P2RX7 was expressed at similar levels across all T cells (Fig. 1 A; and Fig. S1, B and D).

Figure S1.

P2RX7 expression analyses of T-cell subsets from human blood and liver samples. (A) Boxplots depict P2RX7 gene transcript levels within the indicated cell types (data source: Gutierrez-Arcelus et al. [2019], boxes show the first to third quartile with median, whiskers encompassing 1.5× the interquartile range, and data beyond that threshold indicated as outliers). TPM = transcripts per million. (B) Graph shows MFI of P2RX7 labeling by human blood MAIT cells (MR1-5-OP-RU tetramer⁺CD3⁺), Vδ2⁺ and Vδ2⁻ γδT cells (γδTCR⁺CD3⁺), NKT cells (CD1d-α-GalCer tetramer⁺CD3⁺), and conventional T cells (conv. T; defined as non-MAIT/NKT γδTCR⁻CD3⁺ T cells). A total of 13 donors were analyzed across four separate experiments. Each symbol represents an individual donor, where upward- and downward-pointing triangles represent freshly processed and cryopreserved samples, respectively. Graphs depict individual data points and mean ± SEM. *P ≤ 0.05, ***P ≤ 0.001 using a Wilcoxon matched pairs signed rank test with a Bonferroni-Dunn correction for multiple comparisons. (C) Histograms depict the expression of P2RX7 by CD14⁺FSC^hiSSC^hi cells and CD3⁺ T cells from donors 03 and 04 processed and analyzed on the same day. Numbers within histograms represent MFI. FMO = fluorescence minus one. (D) Graphs depict the MFI of P2RX7 labeling by liver and blood T-cell subsets (blue square symbols) and their respective FMO controls (white circle symbols), as indicated by connecting lines between symbols. A total of four human liver donors and six blood donors were analyzed across two separate experiments. The FMO control for NKT cells within one liver donor was not analyzed due to low cell numbers. Half-shaded symbols represent matched blood and liver samples from one donor.

Figure 1.

Unconventional T cells express P2RX7 to a greater extent than conventional T cells. (A) Graph shows MFI of P2RX7 labeling on MAIT cells (MR1-5-OP-RU tetramer⁺CD3⁺), Vδ2⁺, Vδ1⁺, and Vδ1⁻Vδ2⁻ γδT cells (γδTCR⁺CD3⁺), NKT cells (CD1d-α-GalCer tetramer⁺CD3⁺), and conventional T cells (conv. T; defined as non-MAIT/NKT γδTCR⁻CD3⁺ T cells) from human blood and liver. A total of 4 human livers and 18–19 blood donors were analyzed across six separate experiments. Half-shaded symbols represent matched blood and liver samples from one donor. Due to their paucity, NKT cells within one liver and one blood donor were not analyzed. (B) Graph shows percentages of ARTC2⁺P2RX7⁺ cells out of total MAIT, γδT, and NKT cells from C57BL/6 WT mouse organs. Each symbol represents an individual mouse. A total of eight mice were analyzed across three separate experiments. (C) Uniform Manifold Approximation and Projection (UMAP) representation of flow cytometric analysis of liver T cells. UMAP plots were generated by concatenation of all (n = 2) mice from one of two similar experiments. Red arrows within UMAP plots indicate various T-cell populations. (D and F) Graphs show percentages of ARTC2⁺P2RX7⁺ cells of T-bet⁺ MAIT1, γδT1, and NKT1 cells, RORγt⁺ MAIT17, γδT17, and NKT17 cells (D), and CD44^hi and CD44^neg non-MAIT/NKT αβT-cell CD4/CD8 subsets (F) from C57BL/6 WT mouse organs. (E and G) Flow cytometric analysis of ARTC2 and P2RX7 expression by indicated cell types. Red arrows in G indicate ARTC2^hi cells. (H) Flow cytometric analysis of PLZF and ARTC2, and T-bet and RORγt expression on indicated non-MAIT/NKT αβT-cell subsets. (A, B, D, and F) Graphs depict individual data points and mean ± SEM. ns P > 0.05, *P ≤ 0.05, **P ≤ 0.01, ****P ≤ 0.0001 using a Wilcoxon matched-pairs signed-rank test with a Bonferroni-Dunn correction for multiple comparisons where required. (E, G, and H) Numbers in plots represent the percentage of gated cells. (D–F) The percentages of ARTC2⁺P2RX7⁺ thymic MAIT1 (D), iLN MAIT1 cells (E), and iLN CD44^neg CD4⁻CD8⁻ T cells (F) could not be reliably determined (n.d.) due to their paucity. (E) FACS plots generated by concatenation of all (n = 3) mice from one of three similar experiments. With the exception of H, all mice were injected with the anti-ARTC2 NB (clone: s + 16) prior to organ harvest.

We next examined human liver samples from the Australian Donation and Transplantation Biobank. Similar to blood, considerable inter-donor variability of P2RX7 expression was observed on all liver T-cell types, with liver unconventional T cells, on average, labeling at a higher intensity than conventional T cells (Fig. 1 A), including CD4⁺ and CD8⁺ conventional T-cell subsets defined by CD45RA, CD27, CD69, and CD103 (Fig. S1 D). P2RX7 expression on liver T-cell lineages also trended higher compared to their blood counterparts in unmatched blood donors, and also between one paired liver and blood sample (Fig. 1 A and Fig. S1 D). Overall, these data illustrate that steady-state expression of P2RX7 is a feature of human unconventional T-cell lineages.

Mouse T-bet⁺ MAIT, γδT, and NKT cells highly co-express ARTC2 and P2RX7

We next used mouse models to examine the regulation of unconventional T cells by P2RX7 activation. Previous studies showed that expression of ARTC2 drives the NAD-mediated activation of P2RX7, and co-expression of ARTC2 and P2RX7 has been characterized on regulatory T cells and NKT-cell subsets (Di Virgilio et al., 2017; Rissiek et al., 2014a; Schenk et al., 2011; Scheuplein et al., 2009; Seman et al., 2003). We analyzed the expression of ARTC2 and P2RX7 on T cells across organs, focusing on the unconventional T-cell compartment and their functional signatures (Fig. 1, B–E; and Fig. S2, A and B). For liver and spleen T cells, dimensionality reduction of flow cytometry analysis delineated clusters of MAIT, γδT, and NKT cells, defined by labeling with MR1-5-OP-RU tetramer, anti-γδTCR, and CD1d-α-GalCer tetramer, where the majority of MAIT and NKT cells, and a subset of γδT cells, expressed PLZF, the master transcriptional regulator of unconventional T cells, and CD44 (Fig. 1 C and Fig. S2 A). Co-expression of ARTC2 and P2RX7 on all T cells overlapped with markers such as CD38, CD44, CD69, and PLZF (Fig. 1 C and Fig. S2 A), indicative of effector-memory T cells that are tissue associated (Stark et al., 2018). The MAIT, γδT, and NKT-cell clusters were divided into ARTC2⁺P2RX7⁺ and ARTC2⁻P2RX7⁻ populations, where this dichotomy appeared to correlate with T-bet⁺ and RORγt⁺ clusters, respectively (Fig. 1 C and Fig. S2 A). Accordingly, these data suggest that co-expression of ARTC2 and P2RX7 is a signature of multiple PLZF⁺ unconventional T-cell lineages in mice.

Figure S2.

Expression of ARTC2 and P2RX7 on T-cell subsets across mouse organs. (A) UMAP representation of flow cytometric analysis of liver and spleen T cells. UMAP plots were generated by concatenation of data from n = 2 mice from one of two similar experiments. Red arrows within UMAP plots indicate various T-cell populations. (B) Representative gating of T-bet⁺RORγt⁻ MAIT1, γδT1, and NKT1 cells, and RORγt⁺T-bet⁻ MAIT17, γδT17, and NKT17 cells in C57BL/6 WT mouse liver, as indicated by red arrows. (C) Graph depicts the percentage of ARTC2⁺P2RX7⁺ cells of CD44^neg and CD44^hi γδT cells within C57BL/6 WT mouse organs. n = 3 separate experiments with a total of eight mice. ns P > 0.05, *P ≤ 0.05 using a Wilcoxon matched-pairs signed-rank test with a Bonferroni-Dunn correction for multiple comparisons where required. (D) Flow cytometric analysis of ARTC2 and P2RX7 expression on CD44^hi or CD44^neg non-MAIT/NKT CD4⁺, CD8⁺, and CD4⁻CD8⁻ αβT cells. Numbers in FACS plots represent the percentage of gated cells. CD44^neg CD4⁻CD8⁻ αβT cells in the iLNs were not determined (n.d.) due to their paucity. (E) Graphs depict the MFI of ARTC2 and P2RX7 expression by the indicated cell types. (F) Flow cytometric analysis of PLZF, CD44, and ARTC2 expression as indicated by non-MAIT/NKT αβT and γδT cells from the spleen and liver. (C and E) Graphs depict individual data points and mean ± SEM. With the exception of F, all mice were injected with the anti-ARTC2 NB s + 16 prior to organ harvest.

Across different organs, ARTC2⁺P2RX7⁺ unconventional T cells were significantly more abundant in liver and spleen than in the thymus and inguinal LNs (iLNs) (Fig. 1 B). On average, 45%, 55%, and 90% of mouse liver MAIT, γδT, and NKT cells, respectively, were ARTC2⁺P2RX7⁺ (Fig. 1 B). While most NKT cells in spleen co-expressed ARTC2 and P2RX7, only a minority of splenic MAIT and γδT cells were ARTC2⁺P2RX7⁺ (Fig. 1 B). To determine whether ARTC2/P2RX7 expression was constrained to functionally distinct subsets of unconventional T cells, we examined them for transcription factor co-expression (Fig. S2 B). This revealed that ARTC2⁺P2RX7⁺ cells in the liver were primarily T-bet⁺ MAIT1, γδT1, and NKT1 cells (Fig. 1, D and E). The results were similar in spleen, except for spleen γδT1 cells which were mostly P2RX7⁻. Furthermore, a subset of CD44^neg γδT cells co-expressed ARTC2 and P2RX7 in the thymus, spleen, and iLNs (Fig. S2 C). In contrast, a few RORγt⁺ MAIT17, γδT17, and NKT17 cells were ARTC2⁺P2RX7⁺, except a subset of NKT17 cells from spleen and liver (Fig. 1, D and E). Taken together, these data suggest that ARTC2 and P2RX7 are mainly co-expressed by T-bet⁺, but not RORγt⁺, unconventional T cells, with the highest expression detected in the liver and, to a lesser extent, spleen.

Given that ARTC2 expression extended beyond MAIT and NKT cells in our analysis (Fig. 1 C), we also examined non-MAIT/NKT αβT cells. This revealed that many (∼40–50%) CD44^hi CD4⁺ αβT cells co-expressed ARTC2 and P2RX7 in spleen and liver, and to a lesser extent, iLNs and thymus (Fig. 1, F and G; and Fig. S2 D). A significantly greater proportion of CD44^hi CD8⁺ and CD44^hi CD4⁻CD8⁻ DN αβT cells were ARTC2⁺P2RX7⁺ in liver relative to spleen, iLNs, and thymus (Fig. 1, F and G; and Fig. S2 D). A subset of liver CD44^hi CD4⁺ and CD44^hi CD4⁻CD8⁻ DN αβT cells expressed ARTC2 at a higher intensity (mean fluorescence intensity [MFI]) compared to ARTC2⁺P2RX7⁺ CD8⁺ T cells, though these ARTC2^hi αβT cells were much rarer or absent in spleen, iLNs, and thymus (Fig. 1 G; and Fig. S2, D and E). In CD44^neg αβT cells in thymus, spleen, and liver, CD4⁻CD8⁻ DN αβT cells co-expressed intermediate levels of ARTC2 and P2RX7 (Fig. 1 F; and Fig. S2, D and E). Lastly, most CD44^neg CD4⁺ and CD44^neg CD8⁺ αβT cells within peripheral tissues expressed ARTC2 at an intermediate level, though few expressed P2RX7 (Fig. S2, D and E). As PLZF was only detected among CD44-expressing αβT and γδT cells (Fig. 1 H and Fig. S2 F), we next analyzed the expression of PLZF within CD44⁺ ARTC2^hi non-MAIT/NKT αβT cells (Fig. 1 G and Fig. S2 E). Here, ARTC2^hi CD4⁺ and ARTC2^hi CD4⁻CD8⁻ DN αβT cells expressed PLZF and were predominantly T-bet⁺ (Fig. 1 H). Out of all ARTC2⁺ γδT cells, only ARTC2^hi γδT cells expressed PLZF (Fig. S2 F). Taken together, these data reveal populations of effector-like, PLZF⁺T-bet⁺ αβT cells that mainly reside in the liver alongside other ARTC2^hiP2RX7⁺ unconventional T-cell types.

As P2RX7 may play a role in NKT-cell homeostasis (Bovens et al., 2020; Liu and Kim, 2019), we analyzed the frequency and number of MAIT, γδT, and NKT cells, and non-MAIT/NKT αβT cells in P2rx7^−/− mice (Fig. S3). The absolute numbers of lymphocytes across organs were not significantly different between P2rx7^−/− and WT mice (Fig. S3, B and C), except for in liver, where total lymphocytes were slightly higher in P2rx7^−/− mice relative to WT mice (Fig. S3 B). All T-cell subsets were present at similar frequencies between P2rx7^−/− and WT mice, although some minor but statistically significant differences were detected (Fig. S3 C). As the frequency of total ARTC2⁺ and ARTC2^hi T cells and their expression of ARTC2 was similar between P2rx7^−/− and WT mice, these data collectively suggest that P2RX7 does not affect ARTC2 expression by subsets of T cells (Fig. S3, C and D) (Stark et al., 2018). We additionally examined the subset distribution of MAIT, γδT, and NKT cells in P2rx7^−/− mice. Percentages of spleen MAIT1, γδT1, and NKT1 cells and thymic MAIT1 cells were slightly but significantly decreased in P2rx7^−/− mice relative to WT mice, with a concomitant increase in spleen and thymus MAIT17-cell and splenic NKT17-cell frequencies (Fig. S3 E). The numbers of liver MAIT1, γδT1, and NKT1 cells, and liver and spleen NKT17 cells were slightly increased in P2rx7^−/− mice relative to WT mice (Fig. S3 F). These findings indicate that the expression of P2RX7 is not essential for the overall development of unconventional T-cell lineages apart from a minor influence on unconventional T-cell functional subset diversification in the thymus and spleen, and numbers in liver.

Figure S3.

Analysis of T-cell subsets in P2RX7-deficient mice. (A) Flow cytometric analysis of P2RX7 expression on B220⁻ lymphocytes from the thymus and spleen of C57BL/6 WT and P2rx7^−/− mice. Numbers in FACS plots represent the percentage of gated cells. (B) Graph depicts the absolute number of lymphocytes within C57BL/6 WT and P2rx7^−/− mouse organs. (C) Graphs depict the number and percentage of indicated T-cell populations of total T cells within WT and P2rx7^−/− mouse organs. CD4⁺, CD8⁺, and CD4⁻CD8⁻ T cells are non-MAIT/NKT αβT cells; ARTC2⁺ T cells are all T cells that express ARTC2. (D) Flow cytometric analysis of PLZF and ARTC2 expression on indicated T-cell populations from the livers of WT and P2rx7^−/− mice. FACS plots are representative of 8–12 mice per group analyzed across n = 2–3 separate experiments. (E and F) Graphs depict the percentage (E) and number (F) of indicated MAIT, γδT, and NKT-cell subsets from specified organs. Open symbols depict WT mice from a different animal house facility used to ensure sufficient numbers for comparison to P2rx7^−/− mice. (B, C, E, and F) Each symbol represents an individual mouse. Graphs depict individual data points and mean ± SEM. n = 2–3 separate experiments with a total of 8–12 mice/group. ns P > 0.05, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 using a Mann–Whitney U test.

ARTC2 and P2RX7 expression on T cells is induced by retinoic acid

The liver is a major storage site for retinol and participates in retinoic acid (RA) metabolism (Blaner et al., 2016), where the RA-induced, RA receptor α can bind to the enhancer region of P2rx7 (Hashimoto-Hill et al., 2017). RA can increase the expression of both P2RX7 and ARTC2 on activated intestinal T-cell subsets, and P2RX7 on antigen-stimulated NKT cells (Hashimoto-Hill et al., 2017; Heiss et al., 2008; Liu and Kim, 2019). We thus tested whether exposure to RA can induce P2RX7 and ARTC2 on unconventional T cells without TCR stimulation, particularly on thymic subsets that have the lowest steady-state expression of both molecules (Fig. 2; and Fig. 1, D and E). Thymocytes were enriched for mature T cells, including thymic MAIT, γδT, and NKT cells, by complement-mediated depletion of immature CD24⁺ cells, and were cultured in the presence of RA or vehicle control for 3 days (Fig. 2, A–D). After RA treatment, a greater proportion (46%) of thymic PLZF⁺T-bet⁺ T cells expressed P2RX7 relative to vehicle-treated cells (8%), RA-treated PLZF⁺RORγt⁺ T cells (18%), and RA-treated PLZF⁻ T cells (2%) (Fig. 2 B). In line with the expression of ARTC2 by mature thymocytes (Koch-Nolte et al., 1999), over half of thymic PLZF⁻ T cells were ARTC2⁺ even in the vehicle control cultures (Fig. 2 B). A moderate increase in the frequency of ARTC2⁺ cells was observed among thymic PLZF⁺T-bet⁺ and PLZF⁻ T cells, and to a lesser extent, thymic PLZF⁺RORγt⁺ T cells, after RA treatment (Fig. 2 B).

Figure 2.

RA induces expression of ARTC2 and P2RX7 on T cells. (A) Experimental schematic. Mouse thymocytes, splenocytes, or liver lymphocytes were cultured for 3 days in the presence of 20 nM all-trans retinoic acid (RA) or the vehicle control. Three to five thymuses were pooled prior to the complemented-mediated depletion of immature CD24⁺ thymocytes. Splenocytes and liver lymphocytes were obtained from mice injected with the anti-ARTC2 NB (clone: s + 16) prior to organ harvest. (B and C) Flow cytometric analysis of ARTC2 and P2RX7 expression by indicated thymic T-cell types 3 days after treatment with RA or vehicle control. Histograms and FACS plots show concatenated data from all replicate samples from one of three similar experiments. (B) Numbers in histograms represent percentages of P2RX7⁺ and ARTC2⁺ cells out of indicated T-cell types. (C) Numbers in FACS plots represent the percentage of gated cells out of T-bet⁺ MAIT1, γδT1, and NKT1 cells, or PLZF⁻ non-MAIT/NKT αβT cells. (D and E) Graphs show percentages of ARTC2⁺P2RX7⁺ cells of indicated T-cell types from thymus (D), spleen, and liver (E), and MFI of P2RX7 and ARTC2 expression (D) White- and purple-shaded circles represent data from the vehicle or RA-treated cells, respectively. Connecting lines represent paired data. Numbers adjacent to data points represent the average percentage for indicated data sets. For thymus data, each symbol represents data from three to five pooled thymuses where a total of nine pooled thymus samples were analyzed across three separate experiments. (E) For spleen and liver data, each symbol represents an individual mouse, where six to seven mice were analyzed across three separate experiments. MAIT17 and NKT17 cells were not analyzed within one liver sample due to their paucity. (D and E) ns P > 0.05, *P ≤ 0.05, **P ≤ 0.01 using a Wilcoxon matched-pairs signed-rank test. All experimental schematics were in part created in BioRender. Xu, C. (2024) https://BioRender.com/b87o281.

Consistent with strongest expression within PLZF⁺T-bet⁺ thymocytes, each of the MAIT1-, γδT1-, and NKT1-cell thymocyte subsets sharply upregulated both markers resulting in a clear increase in ARTC2⁺P2RX7⁺ cells with high mean percentages for each of these populations (MAIT1 [51% ARTC2⁺P2RX7⁺], γδT1 [28%], NKT1 [27%]) (Fig. 2, C and D). However, to varying extents, other thymocyte populations also showed some increase in ARTC2 and P2RX7 co-expression after RA exposure compared to vehicle treatment (Fig. 2, C and D). A subset of ARTC2⁺P2RX7⁺ cells emerged for MAIT17, NKT17 cells, and PLZF⁺ non-MAIT/NKT αβ T cells from thymus whereas few γδT17 and PLZF⁻ thymocytes adopted this phenotype. These findings were also reflected by increases in expression levels (MFI) for P2RX7 and ARTC2 by the different thymocyte subsets examined (Fig. 2, C and D). Within spleen and liver samples, the frequencies of ARTC2⁺P2RX7⁺ T cells were higher relative to thymus, reflective of steady-state differences in ARTC2/P2RX7 co-expression across organs (Fig. 1, B–G; and Fig. 2, E and F). Following exposure to RA, increases in ARTC2⁺P2RX7⁺ cells were observed to varying extents among most spleen and liver T-cell subsets, except MAIT1 cells. Here, no increase was found in samples with the highest frequencies of ARTC2⁺P2RX7⁺ MAIT1 cells in control cultures (Fig. 2, E and F). Overall, these findings indicate that RA can induce the co-expression of ARTC2 and P2RX7 by T cells and can have profound effects on PLZF⁺ unconventional T-cell lineages.

Unconventional T cells undergo ARTC2/P2RX7-dependent cell death and loss of surface CD27

To investigate the effects of P2RX7 activation on unconventional T cells, we used the release of NAD by cells damaged during organ processing, which is sufficient to drive robust ARTC2-mediated ADP-ribosylation of P2RX7 ex vivo (Scheuplein et al., 2009; Seman et al., 2003). While ADP-ribosylation by ARTC2 can occur at 4°C, NAD-mediated P2RX7 activation only occurs at 37°C, leading to cell death and activating downstream A disintegrin and metalloproteinases (ADAM) family members that induce ectodomain shedding of CD27 from the cell surface (Johnsen et al., 2019; Moon et al., 2006). Thus, we analyzed the ex vivo viability of MAIT, γδT, and NKT cells by labeling with Annexin V and 7-aminoactinomycin D (7-AAD). Compared to cells maintained at 4°C, a larger proportion of liver MAIT, γδT, and NKT cells were at early (Annexin V⁺ 7-AAD⁻) or late (7-AAD⁺) stages of cell death when incubated at 37°C compared to those maintained at 4°C (Fig. 3, A and B). This increase in cell death was inhibited when cells were isolated from mice pre-treated with the anti-ARTC2 NB “s + 16” prior to organ harvest (Rissiek et al., 2014a) or when they were incubated in the presence of the P2RX7 inhibitor (P2RX7i), A438079 (Fig. 3, A–C). While increases in cell death were observed in spleen unconventional T cells at 37°C, only spleen NKT-cell death was rescued by A438079 treatment (Fig. 3 C). As expected, no significant changes were seen in the proportion of 7-AAD⁺ MAIT, γδT, and NKT cells from thymus across all conditions (Fig. S4 A).

Figure 3.

P2RX7 activation on unconventional T cells induces cell death and loss of surface CD27. (A) Experimental schematic. Liver and spleen cells from untreated or anti-ARTC2 NB (clone: s + 16)-treated mice were cultured at 4°C or 37°C for 30 or 90 min prior to analysis. Untreated mouse cells were cultured with or without the P2RX7i, A438079 (10 µM). (B) Flow cytometric analysis of liver MAIT, γδT, and NKT cells co-labeled with 7-AAD and Annexin V after a 90-min incubation. (C) Graphs depict the percentage of 7-AAD⁺ (dead) cells of total MAIT, γδT, and NKT cells from liver and spleen. n = 3 separate experiments with a total of four to eight mice/group. ns P > 0.05, *P ≤ 0.05 using a Mann–Whitney U test with correction for multiple comparisons for the untreated groups. (D) Flow cytometric analysis of surface CD27 expression on liver MAIT, γδT, and NKT cells. (E) Graphs depict percentages of CD27⁺ cells out of viable T-bet⁺ MAIT1, γδT1, and NKT1 cells, or RORγt⁺ MAIT17, γδT17, and NKT17 cells. n = 3–4 separate experiments with a total of 8–10 mice/group. ns P > 0.05, **P ≤ 0.01 using a Wilcoxon matched-pairs signed-rank test. (B and D) Numbers in FACS plots represent the percentage of gated cells. (C and E) Graphs depict individual data points and mean ± SEM. Each symbol represents an individual mouse. All experimental schematics were in part created in BioRender. Xu, C. (2024) https://BioRender.com/e39w615.

Figure S4.

Effects of P2RX7 activation on other T-cell subsets beyond MAIT1, γδT1, and NKT1 cells. (A) Graphs depict the percentage of 7-AAD⁺ MAIT, γδT, and NKT cells from thymus. n = 3 separate experiments with a total of four to eight mice/group. ns P > 0.05 using a Mann–Whitney U test, with a correction for multiple comparisons for the untreated groups. Mice were injected with the anti-ARTC2 NB (clone: s + 16) or were untreated prior to organ harvest. (B–F) Graphs depict the percentage of CD27⁺ cells out of each indicated cell type from C57BL/6 WT (B, D, E, and F), or C57BL/6 WT and P2rx7^−/− mice (C) after incubation for 30 min at 4°C or 37°C. Graphs depict individual data points and mean ± SEM. (C) n = 2 separate experiments with a total of six to eight mice/group. ns P > 0.05, *P ≤ 0.05 using a Wilcoxon matched-pairs signed-rank test. (B, D, E, and F) n = 3–4 separate experiments with a total of 8–10 mice/group. Each symbol represents an individual mouse. Graphs depict individual data points and mean ± SEM. ns P > 0.05, *P ≤ 0.05, **P ≤ 0.01 using a Wilcoxon matched-pairs signed-rank test. (G) Representative overlay histograms of ARTC2 and P2RX7 expression by liver MAIT, γδT, and NKT cells. Dark and light-shaded histograms represent cells from NB-treated and untreated mice, respectively. Numbers within FACS plots represent the MFI. FACS plots are representative of n = 3–4 separate experiments with a total of 8–10 mice/group. (F) CD44^neg CD4⁻CD8⁻ αβT cells were not determined (n.d.) in iLNs due to paucity.

We also examined the loss of surface CD27 by MAIT, γδT, and NKT cells due to P2RX7 activation at 37°C. The percentages of CD27⁺ MAIT, γδT, and NKT cells, especially from liver and spleen, were markedly decreased relative to control cells maintained at 4°C (Fig. 3, D and E; and Fig. S4 B). This was dependent on ARTC2 activity, as it was blocked by pre-treatment of mice with the anti-ARTC2 NB (Fig. 3, D and E). Moreover, CD27 expression was also maintained on cells from P2rx7^−/− mice incubated at 37°C (Fig. S4 C). The loss of CD27 by liver and spleen MAIT, γδT, and NKT cells, and NKT cells from thymus and iLNs, was predominantly observed among T-bet⁺ subsets, with less or no impact on their RORγt⁺ counterparts (Fig. 3 E and Fig. S4 D). In addition to CD44^hi γδT cells (i.e., γδT1 cells), we observed a reduced frequency of CD27-expressing CD44^neg γδT cells and some non-MAIT/NKT cell αβT-cell subsets from liver, spleen, iLNs, and, to a lesser extent, thymus after incubation at 37°C (Fig. S4, E and F). Expression of ARTC2 by liver MAIT, γδT, and NKT cells incubated at 37°C was lower in cells from untreated control mice compared to cells harvested from NB-treated mice (Fig. S4 G), likely representing ARTC2 shedding following P2RX7 activation as previously reported on T cells (Menzel et al., 2015). Furthermore, P2RX7 was absent on liver MAIT, γδT, and NKT cells, regardless of temperature, without NB treatment, yet was clearly present on these cells when mice had been treated with the anti-ARTC2 NB, which is consistent with an earlier report on NKT cells (Borges Da Silva et al., 2019; Rissiek et al., 2014a) (Fig. S4 G). Together, these findings indicate that exposure to NAD released by damaged cells can result in the NICD of liver and spleen unconventional T cells in a manner dependent on ARTC2 activity and P2RX7 activation.

Given that TCR stimulation can modulate the sensitivity of some T-cell subsets to ARTC2-mediated P2RX7 activation (Faliti et al., 2019; Kahl et al., 2000; Proietti et al., 2014; Stark et al., 2018), we investigated the loss of CD27 and death of T-bet⁺ MAIT1 and NKT1 cells upon cell culture following cognate antigen encounter in vivo (Fig. 4). After intravenous administration of 5-OP-RU or α-GalCer, to stimulate MAIT and NKT cells, respectively, liver MAIT and NKT cells upregulated CD69, indicative of their activation in vivo (Fig. 4 B). In contrast to PBS-treated mice, a significantly higher percentage of liver and spleen MAIT1 and NKT1, but not γδT1 cells, from 5-OP-RU– and α-GalCer–treated mice were CD27⁺ and a significantly lower percentage of these cells were undergoing cell death (Zombie NIR⁺) after the culture period (Fig. 4, C and D). 5-OP-RU–exposed MAIT1 and α-GalCer–exposed NKT1 cells had greatly reduced ARTC2 expression (Fig. 4, E and F), in line with ARTC2 shedding following TCR stimulation. Lastly, no decrease in P2RX7 expression was found on stimulated MAIT1 and NKT1 cells (Fig. 4, E and F), in contrast to previous reports in CD8⁺ tissue-resident memory and T follicular helper T cells (Faliti et al., 2019; Proietti et al., 2014; Stark et al., 2018). Instead, an increase in P2RX7 expression relative to PBS control mouse cells was observed (Fig. 4, E and F), likely representing the loss of ARTC2-mediated P2RX7 downregulation ex vivo (Borges Da Silva et al., 2019). Overall, these results suggest that cognate antigen encounter by liver MAIT1 and NKT1 cells reduces their susceptibility to extracellular NAD and NICD via the modulation of surface ARTC2 expression rather than downregulation of P2RX7.

Figure 4.

Cognate antigen encounter partially rescues MAIT1 and NKT1 cells from the effects of NICD. (A) Experimental schematic. Mice were i.v. administered 5-OP-RU (200 pmol), α-GalCer (2 µg), or PBS and liver and spleens were harvested 45–60 min later. Liver and spleen cells were cultured at 4°C or 37°C for 40 min with or without the P2RX7i, A438079 (10 μM), prior to analysis. (B) Graphs depict the MFI of CD69 expression by liver and spleen T-bet⁺ MAIT1, γδT1, and NKT1 cells from indicated treatment groups. (C and D) Graphs depict percentages of viable CD27⁺ cells (C) or Zombie NIR⁺ (dead) cells (D) out of indicated cell types. (E) Representative flow cytometric analysis of ARTC2 and P2RX7 expression by the cell types specified. Numbers in FACS plots represent the percentage of gated cells. MAIT-cell FACS plots show concatenated data from all (n = 3-4) mice of the same treatment group from one of two similar experiments. (F) Graphs depict the MFI of ARTC2 and P2RX7 expression by indicated cell types. (B–D and F) A total of six mice per group were analyzed across two separate experiments. ns P > 0.05 (not shown on graphs), *P ≤ 0.05, **P ≤ 0.01 using a Mann–Whitney U test with a Bonferroni-Dunn correction for multiple comparisons. Graphs depict individual data points and mean ± SEM. Each symbol represents an individual mouse. All experimental schematics were in part created in BioRender. Xu, C. (2024) https://BioRender.com/j46m750.

ARTC2 blockade improves recovery of unconventional T cells following adoptive transfer

As the temperature is a factor in unconventional T cells undergoing NICD ex vivo, it was likely that this would influence the survival of these cells upon adoptive transfer in vivo (Fig. 5 and Fig. S5). Lymphocytes harvested from liver and spleen of anti-ARTC2 NB-treated and untreated WT C57BL/6 Ly5.1 mice were labeled with CellTrace Violet (CTV) and carboxyfluorescein succinimidyl ester (CFSE), respectively, mixed at a 1:1 ratio, and transferred into WT Ly5.2 recipients. Though both NB-treated (CTV⁺) and untreated (CFSE⁺) donor cells were recovered from liver 8 days after transfer, there was a strong and significant bias toward NB-treated unconventional T cells, particularly NKT and MAIT cells, and to a lesser extent, γδT cells regardless of their liver (Fig. 5, B and C) or spleen (Fig. 5, D and E) origin. The bias towards NB-treated cells was also reflected in the ratios of NB-treated to untreated cells following adoptive transfer (Fig. S5 A). In line with the comparatively low co-expression of ARTC2 and P2RX7 by splenic γδT cells, the average ratio of NB-treated to untreated splenic γδT cells recovered from the spleen was similar to that prior to transfer (Fig. 1, B–E; and Fig. S5 C). As a control for the efficiency of adoptive transfer from the different donors, the collective population of non-T/non-B cells was analyzed and were recovered at a ∼1:1 ratio of NB-treated to untreated cells (Fig. 5, B–E; and Fig. S5, A and B), though there was a slight but significant increase in NB-treated, liver-derived non-T/non-B cells recovered from liver. In peripheral LNs (pLNs), a significant increase in NB-treated, liver-derived γδT cells was found, though this was not observed among MAIT cells or spleen-derived γδT cells (Fig. S5 B).

Figure 5.

ARTC2 blockade improves recovery of adoptively transferred unconventional T cells. (A) Experimental schematic. Liver and spleen cells from anti-ARTC2 NB (clone: s + 16)-treated or untreated mice were labeled with CTV (NB-treated) or CFSE (untreated) prior to co-transfer at a 1:1 ratio into recipient mice. Donor liver and spleen cells were recovered from recipient mouse livers and spleens 8 days later. Donor and recipient spleen cells were subjected to magnetic bead depletion of B220⁺ and CD62L⁺ cells, or B220⁺ cells, respectively. (B and D) Flow cytometric analysis of donor CD45.1⁺ MAIT, γδT, NKT, and non-T/B cells sourced from liver (B) or spleen (D) and recovered from liver and spleens of recipient mice 8 days after adoptive transfer. Numbers in FACS plots represent the percentage of gated cells. MAIT and γδT-cell FACS plots were generated by concatenation of data from all (n = 3) mice of the same group from one of two similar experiments. (C and E) Stacked bar charts depict the percentages of donor CTV⁺ (purple) and CFSE⁺ (green) cells upon recovery from recipient mice on day 8. Graphs depict individual data points and mean ± SEM. n = 2 separate experiments with a total of six recipient mice per group. ns P > 0.05, *P ≤ 0.05 using a Wilcoxon matched-pairs signed-rank test for comparison between NB-treated versus untreated. All experimental schematics were in part created in BioRender. Xu, C. (2024) https://BioRender.com/z81c196.

Figure S5.

Recovery of adoptively transferred unconventional T cells after ARTC2 blockade from pLNs and the subset distribution of adoptively transferred unconventional T cells from spleen and liver. (A) Graphs show the ratio between percentages of CTV⁺ cells relative to CFSE⁺ cells pre- and post-adoptive transfer. (B) Flow cytometric analysis of donor CD45.1⁺ MAIT, γδT, and non-T/B cells sourced from liver or spleen and recovered from the pooled pLNs of recipient mice 8 days after adoptive transfer. MAIT and γδT-cell FACS plots were generated by concatenation of data from all (n = 3) mice of the same group from one of two similar experiments. NKT cells were not analyzed due to low LN cell numbers. Stacked bar charts depict the percentage of recovered donor CTV⁺ and CFSE⁺ cells sourced from liver and spleen after adoptive transfer. ns P > 0.05, *P ≤ 0.05 using a Wilcoxon matched-pairs signed-rank test for NB-treated versus untreated. Graph shows the ratio between the percentage of CTV⁺ cells relative to CFSE⁺ cells pre- and post-adoptive transfer. (A and B) Graphs depict individual data points and mean ± SEM. Post: each symbol represents an individual mouse, where a total of six mice/group were analyzed across n = 2 separate experiments. Pre: each symbol represents a separate experiment where cells from eight mice were pooled. (C) Graphs depict the absolute numbers of recovered CTV⁺ and CFSE⁺ MAIT, NKT, and γδT-cell subsets after adoptive transfer. MAIT1, γδT1, and NKT1 cells defined as CD44⁺CD319⁺. MAIT17 and NKT17 cells defined as ICOS⁺CD319⁻. γδT17 cells defined as CD44^hiCD319⁻. Remaining CD44⁻CD319⁻ γδT cells defined as “other.” Connecting lines represent paired data (cells recovered from the same organs). ns P > 0.05, *P ≤ 0.05 using a Wilcoxon matched-pairs signed-rank test. n.d. = not determined.

Consistent with the earlier findings that ARTC2 and P2RX7 were predominantly expressed by MAIT1, γδT1, and NKT1 cells, increases in donor cell recovery reflected significantly increased recovery of these subsets, as defined by surface surrogate markers CD44 and CD319 (CD44⁺CD319⁺) for these cells (Xu et al., 2023), although MAIT17 and NKT17 cells (defined as ICOS⁺CD319⁻), and γδT17 cells (CD44^hiCD319⁻) were also increased in some cases (Fig. S5 C). Accordingly, these data demonstrate that anti-ARTC2 blockade within donor mice markedly improves the survival and recovery of MAIT1, γδT1, and NKT1 cells after adoptive transfer, particularly for MAIT and NKT cells, and liver-derived donor T-cell subsets.

P2RX7 activation primarily depletes T cells that co-produce IFN-γ and IL-4

Given the differential impact of ARTC2-mediated P2RX7 activation on T-bet⁺ and RORγt⁺ unconventional T cells, we examined its effect on cytokine production by these cells (Figs. 6 and 7). On average, 15%, 43%, and 46% of liver MAIT, CD44⁺ γδT, and NKT cells, respectively, produced IFN-γ after stimulation with PMA and ionomycin (Fig. 6, B and C). Pre-treating mice with the anti-ARTC2 NB increased these percentages to, on average, 50%, 57%, and 94%, respectively (Fig. 6, B and C). Similar increases were observed when cells from NB-untreated mice were stimulated in the presence of the P2RX7i, A438079, or when comparing stimulated cells from WT and P2rx7^−/− mice (Fig. 6, B–D). Smaller increases were found among IFN-γ–producing MAIT and NKT cells from spleen, and no increase was seen in the percentage of IFN-γ–producing γδT cells (Fig. 6, C and D). Furthermore, the frequencies of IFN-γ–producing non-MAIT/NKT αβT cells from liver, but not spleen, were significantly increased when stimulated in the presence of A438079 (Fig. 6 E). In contrast, and as expected, similar percentages of IFN-γ–producing cells from thymus were observed across all conditions and between WT and P2rx7^−/− mice (Fig. 6, D and E). While significant reductions were seen in the percentages of IL-17–producing MAIT, γδT, NKT, and non-MAIT/NKT αβT cells following NB or A438079 treatment, this likely reflected the increase in IFN-γ–producing cells with treatment (Fig. 6, B–E), because the absolute numbers of IL-17–producing cells were largely similar across all conditions, with some minor exceptions (Fig. 6, C and E). Accordingly, these data suggest that IFN-γ– but not IL-17–producing unconventional T-cell populations from liver are selectively regulated by ARTC2-mediated P2RX7 activation.

Figure 6.

Inhibition of ARTC2 or P2RX7 preserves IFN-γ–producing unconventional T cells. (A) Experimental schematic. Liver and spleen cells from untreated or anti-ARTC2 NB (clone: s + 16)-treated mice were stimulated with PMA and ionomycin and analyzed 4 h later. Untreated mouse cells were stimulated with or without the P2RX7i, A438079 (10 µM). (B) Flow cytometric analysis of IL-17A and IFN-γ expression by CD44⁺ MAIT, γδT, and NKT cells. Numbers in FACS plots represent the percentage of gated cells. (C and D) The percentage (%) and absolute number (#) of IL-17A⁻IFN-γ⁺ and IL-17A⁺IFN-γ⁻MAIT, γδT, and NKT cells out of total MAIT, γδT, and NKT cells from WT (C) and WT and P2rx7^−/− mice (D), as indicated, were graphed. (D) n = 2 separate experiments with a total of six to seven mice/group. n.s. P > 0.05 (not shown on graph), *P ≤ 0.05, and **P ≤ 0.01 using a Mann–Whitney U test with a Bonferroni-Dunn correction for multiple comparisons. (E) Graphs depict the percentage and absolute number of IL-17A⁻IFN-γ⁺ and IL-17A⁺IFN-γ⁻ cells among the specified CD44⁺ non-MAIT/NKT αβT-cell CD4/CD8 subsets. (C and E) Each symbol represents an individual mouse. n.s. P > 0.05 (not shown on graph) *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, and ****P ≤ 0.0001 using a Wilcoxon matched-pairs signed rank test for +P2RX7i versus −P2RX7i or using a Mann–Whitney U test with a Bonferroni-Dunn correction for multiple comparisons for all other comparisons between conditions. n = 3–5 separate experiments with a total of 8–12 mice/group. All experimental schematics were in part created in BioRender. Xu, C. (2024) https://BioRender.com/v48p152.

Figure 7.

Blockade of ARTC2-mediated P2RX7 activation reveals unconventional T cells that co-produce IFN-γ and IL-4. (A) Flow cytometric analysis of IL-4 and IFN-γ expression by CD44⁺ MAIT, γδT, and NKT cells, and by CD44⁺ non-MAIT/NKT αβT-cell CD4/CD8 subsets. Numbers in FACS plots represent the percentage of gated cells. (B–D) The percentage (%) (B) and absolute number (#) (C and D) of IL-4/IFN-γ subsets among the specified T-cell subsets were graphed. Each symbol represents an individual mouse. n = 3 separate experiments with a total of seven to eight mice/group. n.s. P > 0.05 (not shown on graph), *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 using a Wilcoxon matched-pairs signed-rank test for +P2RX7i versus −P2RX7i or using a Mann–Whitney U test with a Bonferroni-Dunn correction for multiple comparisons for all other comparisons between conditions.

While a subset of IFN-γ–producing NKT and γδT cells can simultaneously secrete IFN-γ and IL-4 (Azuara et al., 1997; Cameron and Godfrey, 2018; Gerber et al., 1999; Lee et al., 2013, 2015; Narayan et al., 2012; Pereira et al., 2013), a distinct population of IL-4–producing MAIT cells has remained elusive. We examined the impact of blocking P2RX7 activation on IL-4 production by MAIT, γδT, and NKT cells, as well as other αβT cells (Fig. 7). In untreated WT mice, while IFN-γ⁺IL-4⁺ NKT cells represented on average 30% of liver NKT cells, and IFN-γ⁺IL-4⁺ MAIT and γδT cells were barely detectable in livers and spleens (Fig. 7, A–C). However, with anti-ARTC2 NB or A438079 treatment, around 20% of liver MAIT and γδT cells, and 80% of liver NKT cells, co-produced IFN-γ and IL-4 after stimulation, also reflected in significant increases in IFN-γ⁺IL-4⁺-cell numbers (Fig. 7, A–C). Increases in the frequency and number of CD4⁺ and CD4⁻CD8⁻ DN non-MAIT/NKT αβT cells that co-produced IFN-γ and IL-4 were found in liver and, to a lesser extent, spleen, following P2RX7 inhibition or ARTC2 blockade (Fig. 7, A–C). A small subset of IFN-γ⁺IL-4⁺ CD8⁺ T cells was also found in liver in these blockade experiments. Generally, the most prominent increases were seen in cells that produce both IFN-γ and IL-4 over cells that produce either cytokine alone, suggesting that P2RX7 activation impacts the survival of the population of IFN-γ and IL-4 co-producing cells, rather than directly regulating IL-4 production (Fig. 7, A–C). We also analyzed cytokine production by various T-cell types from lungs, iLNs, and thymus following P2RX7 inhibition or NB treatment (Fig. 7 D). In these tissues, the number of IL-4– and/or IFN-γ–producing T-cell populations seemed less influenced by the treatment, with only some moderate increases observed in the lungs after stimulation (Fig. 7 D). Furthermore, IL-4– and/or IFN-γ–producing MAIT cells were rare within lungs, iLNs, and thymus, regardless of NB or A438079 treatment (Fig. 7 D). Accordingly, these data suggest that ARTC2-mediated P2RX7 activation predominantly targets T cells, including unconventional T cells, from liver and spleen and primarily affects subsets of these cells that co-produce IFN-γ and IL-4.

Exogenous NAD selectively depletes liver T-bet⁺ PLZF⁺ARTC2^hi T cells in vivo

We next examined whether the tissue damage-associated release of intracellular metabolites directly depletes unconventional T cells in vivo, where administration of exogenous NAD is an established model of triggering P2RX7 within mouse models (Bovens et al., 2020; Kawamura et al., 2006; Liu and Kim, 2019; Stark et al., 2018). 30 min after NAD administration, compared to PBS controls, there was a sharp decrease in the percentage of all PLZF⁺T-bet⁺ T cells in liver (Fig. 8, A and B), including the frequency and number of T-bet⁺ MAIT1, γδT1, and NKT1 cells (Fig. 8, C–E). This depletion was specific to T-bet⁺ cells in liver as the number of splenic T-bet⁺ MAIT1, γδT1, and NKT1 cells, and RORγt⁺ MAIT17, γδT17, and NKT17 cells in both spleen and liver were similar between NAD- and PBS-treated mice (Fig. 8 E). Furthermore, PLZF⁺ARTC2^hi CD4⁺ and PLZF⁺ARTC2^hi CD4⁻CD8⁻ DN non-MAIT/NKT αβT cells from liver, but not spleen, were also markedly decreased, in line with the overall loss of liver PLZF⁺ARTC2^hi T cells within NAD-treated mice (Fig. 8, E–G). In contrast, the absolute numbers of non-PLZF⁺ARTC2⁺ cells in liver were unchanged between NAD- and PBS-treated mice (Fig. 8 G). Aligning with the selective loss of ARTC2^hi T cells (Fig. 8, F and G), pre-treatment of mice with the anti-ARTC2 NB prior to NAD administration at least partially blocked depletion of liver PLZF⁺T-bet⁺ARTC2^hi T cells, including MAIT1, γδT1, NKT1, and PLZF⁺ARTC2^hi non-MAIT/NKT αβT cells (Fig. 8, B–G). This suggested that the NAD-induced depletion of these cells is, at least in part, ARTC2-dependent (Fig. 8, B–G). In addition, we found that the MFI of T-bet, but not RORγt, within unconventional T-cell subsets from liver of NAD-treated mice was lower compared to corresponding cells from PBS control mice (Fig. 8 H).

Figure 8.

NAD selectively depletes liver T-bet⁺ unconventional T cells in vivo. (A) Experimental schematic. Anti-ARTC2 NB (clone: s + 16)-treated or untreated mice were i.v. administered with NAD (10 mg) or PBS 30 min prior to organ harvest. (B and C) Flow cytometric analysis of PLZF and T-bet expression by liver T cells (B), and RORγt and T-bet expression by liver MAIT, CD44⁺ γδT, and NKT cells (C). (D and E) Graphs show the percentages (D) and absolute numbers (E) of T-bet⁺ MAIT1, γδT1, and NKT1 cells, and RORγt⁺ MAIT17, γδT17, and NKT17 cells out of total MAIT, γδT, and NKT cells, and of PLZF⁺ARTC2^hi CD4⁺ and CD4⁻CD8⁻ cells out of total CD4⁺ and CD4⁻CD8⁻ CD44^hi non-MAIT/NKT αβT cells. (F) Flow cytometric analysis of PLZF and ARTC2 expression. (G) Graph depicts the absolute number of the indicated liver PLZF/ARTC2 T-cell subsets. (H) Graphs depict the fold change in the MFI of T-bet expression in the specified liver T-cell types relative to PBS control mouse samples, or MFI of RORγt expression, as indicated. Dotted line represents a fold change of 1. (I) Flow cytometric analysis of CD69 against T-bet, PLZF, and ARTC2 expression. (J) Graphs depict the numbers of CD69⁺ and CD69⁻ MAIT, γδT, and NKT cells, and non-MAIT/NKT αβT-cell subsets from liver. (D, E, G, H, and J) n = 2 separate experiments with a total of six to seven mice/group. Graphs depict individual data points and mean ± SEM. Each symbol represents an individual mouse. n.s. P > 0.05, *P ≤ 0.05, **P ≤ 0.01 using a Mann–Whitney U test with a Bonferroni-Dunn correction for multiple comparisons. (B, C, F, and I) Numbers in FACS plots represent the percentage of gated cells. All experimental schematics were in part created in BioRender. Xu, C. (2024) https://BioRender.com/i91e494.

Given that exogenous NAD can deplete tissue-resident, CD69-expressing NKT and CD8⁺ memory T cells in liver (Bovens et al., 2020; Liu and Kim, 2019; Stark et al., 2018), we analyzed whether other CD69⁺ unconventional T-cell subsets were affected by NAD administration (Fig. 8, I and J). We found that CD69 marked most T-bet⁺, PLZF⁺, and ARTC2^hi T cells in the liver. The absolute numbers of liver CD69⁺ and CD69⁻ NKT cells were decreased in NAD-treated mice, although the decrease in the former subset was more pronounced (Fig. 8 J), in line with a previous report (Bovens et al., 2020). CD69⁺, but not CD69⁻, MAIT, γδT, and non-MAIT/NKT CD44^hi αβT cells were decreased in livers of NAD-treated mice (Fig. 8 J). Lastly, anti-ARTC2 NB pre-treatment of mice at least partially prevented the decrease in liver CD69⁺ T cells (Fig. 8 J). Accordingly, these data indicate that systemic exposure of mice to NAD selectively depletes multiple subsets of PLZF⁺T-bet⁺ unconventional T cells within liver.

Discussion

Unconventional T cells, including MAIT, γδT, and NKT cells, and their functionally distinct subsets, are present in most tissues where lymphocytes are found and are collectively abundant in liver (LeBlanc et al., 2022; Xu et al., 2023). How their rapid and diverse cytokine responses are regulated to balance immune defence while limiting inflammation is poorly understood. Here, we report that the tissue damage-associated metabolite NAD drives P2RX7 activation on multiple unconventional T-cell subsets, which directly impacts on their survival. In addition to NKT1 cells (Borges Da Silva et al., 2019), peripheral MAIT1 and γδT1 cells, along with a subset of CD4⁺ and CD4⁻CD8⁻ DN non-MAIT/NKT αβT cells, highly co-expressed ARTC2 and P2RX7 in liver, and to a lesser extent, spleen. Hepatic ARTC2^hi non-MAIT/NKT αβT cells were marked by expression of CD69, CD44, and P2RX7, as well as the transcription factors PLZF and T-bet, implying a similarity to other liver T-bet⁺ unconventional T-cell lineages, i.e., MAIT1, γδT1, and NKT1 cells. As T cells with intermediate expression of ARTC2 were PLZF⁻, this suggests that expression of PLZF may be linked to high expression of ARTC2 by T cells. It is plausible that factors within the tissue microenvironment may also drive high co-expression of ARTC2 and P2RX7 on PLZF⁺T-bet⁺ unconventional T cells. Supporting this, the liver is the main vitamin A storage site within the body (Blaner et al., 2016), where retinoic acid can induce expression of P2RX7 (P2rx7) and ARTC2 (Art2b) at both the protein and mRNA level on activated T cells (Hashimoto-Hill et al., 2017; Liu and Kim, 2019; Stark et al., 2018). Here, we show that retinoic acid upregulates the expression of P2RX7 and ARTC2 on PLZF⁺T-bet⁺ unconventional T cells, including those from thymus. While the release of NAD by cells injured during routine organ processing (Scheuplein et al., 2009; Seman et al., 2003) was sufficient to drive the NICD of, and loss of surface CD27 expression by, unconventional T cells ex vivo, this was reduced among MAIT1 and NKT1 cells following cognate antigen encounter. Administration of exogenous NAD also rapidly depleted liver PLZF⁺ARTC2^hiT-bet⁺ T cells, over other T-cell types, in vivo. In addition to P2RX7 inhibition reducing cell death ex vivo, NB-mediated ARTC2 blockade improved the recovery of adoptively transferred unconventional T cells and partly rescued their NAD-induced depletion in vivo, indicating a role for ARTC2-dependent P2RX7 activation in these cells’ survival. Due to the rapid degradation of NAD in vivo (Adriouch et al., 2007; Cockayne et al., 1998), we cannot formally exclude the role of NAD-derived breakdown metabolites, such as ADP-ribose (Kawamura et al., 2006), in promoting the depletion of liver unconventional T cells in vivo.

Our findings suggest that blockade of ARTC2-dependent P2RX7 activation should be employed in studies of unconventional T cells, and indeed all peripheral T cells, from liver and spleen ex vivo. This will minimize alterations such as loss of surface CD27 expression and/or death of subsets of these cells, caused by exposure to NAD upon their isolation. Thus, key considerations for future studies and interpretation of past studies include (1) the loss of surface CD27 by γδT1 cells upon cell culture, which may negate its use as a surrogate marker to identify IFN-γ–producing γδT cells (Ribot et al., 2009); (2) poor survival of T-bet⁺, and IFN-γ and IL-4 co-producing T cells following isolation from tissues, which may explain the lower amounts of IFN-γ and IL-4 produced by peripheral MAIT, NKT, and γδT cells relative to their thymic counterparts after stimulation ex vivo; and (3) the previously unappreciated population of IFN-γ and IL-4 co-producing MAIT cells.

In line with this, a key finding in this study was the association between regulation by ARTC2-mediated P2RX7 activation, capacity to co-produce IFN-γ and IL-4, and co-expression of T-bet and PLZF. These findings support previous links between PLZF expression and the ability to co-produce IFN-γ and IL-4 within NKT and Vγ1⁺Vδ6.3⁺ γδT cells (Kovalovsky et al., 2008; Kreslavsky et al., 2009), which is further corroborated by co-production of these cytokines by MAIT cells and subsets of non-MAIT/NKT CD4⁺ and CD4⁻CD8⁻ αβT cells. These observations are in line with the notion that PLZF expression imbues developing T cells with an effector-memory phenotype and “innate-like” attributes (Kovalovsky et al., 2008, 2010; Kreslavsky et al., 2009; Pellicci et al., 2020; Savage et al., 2008). It will be intriguing to explore if the PLZF⁺ αβT cells examined here undergo a similar developmental program to that of MAIT, γδT, and NKT cells in acquiring PLZF expression intrathymically. Though IFN-γ and IL-4 are often considered to mediate functionally opposing immune responses, the role of PLZF⁺ unconventional T cells that can rapidly produce both cytokines in these immune contexts remains unclear. As cells that produced IL-17 alone were less susceptible to death by ARTC2-mediated P2RX7 activation, this suggests that this pathway may act to primarily control innate-like T cells that produce IFN-γ and/or IL-4, in particular those found within the liver and spleen.

Furthermore, IFN-γ and IL-4 both have pleiotropic effects within and outside of the immune system, and thus it is tempting to postulate that tissue damage-induced P2RX7 activation acts to prevent inappropriate and/or excessive cytokine production by peripheral unconventional T cells, such as in the context of sterile liver injury (Woolbright and Jaeschke, 2017). Several studies performed on individual T-cell lineages inform this speculation. For example, signaling through CD27 is known to promote the survival, expansion, and function of γδT1 cells (Ribot et al., 2009, 2010), suggesting that the ARTC2/P2RX7-dependent ectodomain shedding of CD27 from the surface of γδT1 cells may also act to suppress IFN-γ production by these cells. In addition, IL-12, a pro-inflammatory cytokine which can stimulate unconventional T cells to produce IFN-γ in a TCR-independent manner (Darrigues et al., 2022), upregulates P2RX7 expression on CD8⁺ T cells (Stark et al., 2018). Though it is unknown whether IL-12 has a similar effect on unconventional T cells, perhaps heightened P2RX7 expression upon inflammation may sensitize cells to NICD. In turn, this axis may prevent the over-activation of IFN-γ–producing T cells in the context of inflammation, thereby reducing tissue damage and immunopathology.

It has been shown that ARTC2 can be shed from the surface of T cells after their activation (Kahl et al., 2000) or following P2RX7 activation (Menzel et al., 2015). ARTC2 in solution can then ADP-ribosylate cytokines such as IFN-γ, interfering with its ability to signal through IFN-γ receptors (Menzel et al., 2021). Accordingly, liver ARTC2^hiP2RX7⁺ T cells may represent a reservoir of ARTC2 in a membrane-bound state (Menzel et al., 2021), where upon T-cell activation and/or tissue damage, the release of ARTC2 may function to limit IFN-γ–mediated hepatic immune responses. This is supported by the rapid loss of ARTC2 by activated MAIT1 and NKT1 cells in liver and spleen following antigen-encounter in vivo, which was associated with their increased resistance to CD27 loss and cell death ex vivo. These findings suggest that TCR stimulation can rescue PLZF⁺T-bet⁺ unconventional T cells from tissue damage–induced, ARTC2/P2RX7-mediated cell death, supporting the notion that recently activated T cells are resistant to NICD (Rissiek et al., 2014b; Rivas-Yáñez et al., 2020). The ARTC2–P2RX7 axis and its modulation following TCR signaling may act to promote the survival of PLZF⁺T-bet⁺ unconventional T cells actively responding to infection over bystander cells inadvertently activated by inflammatory stimuli, aligning with similar notions in T follicular helper cells (Faliti et al., 2019; Proietti et al., 2014) and CD8⁺ tissue-resident memory T cells (Stark et al., 2018).

As the ARTC2 gene is nonfunctional in humans (Haag et al., 1994), it will be important for future studies to elucidate whether P2RX7 activation in human unconventional T-cell lineages is similarly subjected to ADP-ribosylation by orthologous ADP-ribosyltransferases in response to distinct tissue damage signals. Plausible family members within the human ARTC genes, such as ARTC1 and ARTC5, contain catalytic motifs for NAD binding and may play a similar role to mouse ARTC2 in terms of ADP-ribosylation of P2RX7 (Laing et al., 2011; Leutert et al., 2018; Cortés-Garcia et al., 2016; Hesse et al., 2022;Wennerberg et al., 2022). Furthermore, the overexpression of ARTC1 within some human cancers relative to normal tissues (Lin et al., 2024; Tang et al., 2013; Wennerberg et al., 2022) may drive the NICD of unconventional T cells within tumors. Overall, there is emerging evidence describing an interplay where phenotypically and functionally synonymous subsets of unconventional T-cell lineages can exist within a competitive or compensatory niche, highlighting that they may be regulated by overlapping homeostatic and/or environmental cues (Ataide et al., 2022; Xu et al., 2023).

In summary, this study identifies the ARTC2–P2RX7 axis as a common modulator of PLZF⁺T-bet⁺ T-cell survival in the presence of tissue damage and damage-associated metabolites. This has a profound effect on unconventional T-cell lineages including MAIT, γδT, and NKT cells, but it is also more broadly active on other PLZF-expressing CD4⁺ and CD4⁻CD8⁻ αβT cells. These findings pose important questions for the collective regulation of unconventional T cells and the role of the ARTC2–P2RX7 axis in various disease contexts, also highlighting the need to inhibit this axis for ex vivo studies of liver and spleen T cells.

Materials and methods

Mice

6–12-wk-old C57BL/6 (B6) WT mice were bred in-house in the Department of Microbiology and Immunology Animal House, University of Melbourne. 10–12-wk-old C57BL/6 Ly5.1 mice were purchased from ARC. P2rx7^−/− mice (Solle et al., 2001) and matched B6 WT controls were bred in-house at the Department of Anatomy and Physiology Animal House, University of Melbourne. In some of these experiments, as indicated, additional B6 WT controls came from the Department of Microbiology and Immunology Animal House, University of Melbourne. All mice used in experiments were housed under specific-pathogen-free conditions and were age- and sex-matched. All procedures on mice were approved by the University of Melbourne Animal Ethics Committee (#1914739, #21651, and #24324).

Anti-ARTC2.2 NB administration and P2RX7 inhibition

Where specified, mice were intravenously (i.v.) injected with 50 µg of the anti-ARTC2 blocking NB (s + 16a; Treg Protector; BioLegend) diluted in PBS 30 min prior to culling and organ harvest, as previously reported (Rissiek et al., 2014a). The P2RX7i, A438079 hydrochloride (A438079) (Santa Cruz Biotechnology), was dissolved in DMSO to a final concentration of 50 mM. To prevent activation of P2RX7, A438079 (10 μM) was added to cell suspensions at 4°C and prior to incubation at 37°C, or as otherwise indicated.

Preparation of cell suspensions

Mouse

Thymus, spleen, and LN cell suspensions were processed via gentle grinding through a 30-µM nylon cell strainer into ice-cold FACS buffer (PBS with 2% FCS). Spleen cell suspensions were treated with red blood cell lysis buffer (Sigma-Aldrich) for 5 min at room temperature before washing with FACS buffer. Liver cell suspensions were prepared by gently grinding liver tissue through a 70-µM nylon cell strainer into ice-cold FACS buffer. Liver leukocytes were isolated via density gradient centrifugation using a 33% Percoll (Cytiva) solution at room temperature. Liver cells were subsequently treated with red blood cell lysis buffer for 10 min at room temperature before washing with FACS buffer. In some experiments, thymus cell suspensions pooled from three to five mice were labeled with anti-CD24 (J11D) prior to complement-mediated (GTI Diagnostics) depletion of immature CD24⁺ cells to enrich for mature T cells. After depletion, viable CD24⁻ cells were isolated via density gradient centrifugation using Histopaque-1083 (Sigma-Aldrich). Where specified, spleen cell suspensions were subjected to a Histopaque-1083 density gradient to isolate viable cells. Prior to harvest, lung tissues were perfused with PBS. Lungs were minced into small pieces and digested enzymatically in collagenase type III (3 mg/ml; Worthington Biochemical Corporation in RMPI-1640 supplemented with 2% FCS) in the presence of DNase I (5 µg/ml; Roche) for 90 min at 37°C, with or without the P2RX7i as specified. After digestion, cell suspensions were treated with red blood cell lysis buffer (Sigma-Aldrich) for 5 min at room temperature before washing with FACS buffer. All cell suspensions were kept on ice or at 4°C unless otherwise specified.

Human

Peripheral blood mononuclear cells (PBMCs) were isolated from healthy human peripheral blood donors via standard density gradient centrifugation using Ficoll-Paque Plus (Cytiva). PBMCs were either used in experiments on the same day as processing or cryopreserved in liquid nitrogen for use at a later date. Human liver cell suspensions were generated either by gently grinding tissue pieces through a 70-µM nylon cell strainer or via mechanical separation using a gentle MACS Dissociator (Miltenyi Biotec). Liver cell suspensions were subjected to density gradient centrifugation using 33% Percoll prior to treatment with red blood lysis buffer. All liver cell suspensions were cryopreserved in liquid nitrogen prior to analysis. All procedures on human samples were approved by the University of Melbourne Ethics Committee (#2023-13000-42773-7 and human tissue immune responses #13009), and the Australian Donation and Transplantation Biobank (ADTB) (HREC/48184/Austin-2019).

5-OP-RU and tetramer assembly

5-OP-RU was synthesized (Mak et al., 2017, 2021) and quantified (Mak, 2022) as a stable solution in DMSO as previously described. Care was taken to minimize the time of exposure to water during experimental preparations as it is unstable until it is bound to MR1 (Mak et al., 2017). As previously described (Corbett et al., 2014; Reantragoon et al., 2013), tetramers of human and mouse MR1-5-OP-RU were generated in-house by refolding MR1 monomers in the presence of 5-A-RU and methylglyoxal. Enzymatic biotinylation of MR1-5-OP-RU monomers was conducted in the presence of the BirA enzyme. Biotinylated monomers were purified through size exclusion chromatography. Soluble monomers of human and mouse CD1d/β₂m protein were made in-house and biotinylated as previously reported (Gherardin et al., 2018). In brief, human and mouse CD1d-α-GalCer monomers were made by loading purified CD1d-biotin protein with the α-GalCer analog, PBS-44, a gift from P. Savage (Brigham Young University, Provo, UT, USA). This was conducted at a 6:1 (lipid:protein) molar ratio at room temperature overnight. Biotinylated monomers of MR1-5-OP-RU were tetramerized to streptavidin conjugated to PE (SAV-PE; Invitrogen) or BV421 (SAV-BV421; BioLegend). Biotinylated monomers of CD1d-α-GalCer were tetramerized to streptavidin conjugated to PE (SAV-PE; BD Pharmingen), BV421 (SAV-BV421; BioLegend), or BV785 (SAV-BV785; BioLegend). All streptavidin conjugates were added to biotinylated monomers across a series of 5 additions of one-fifth of the required volume separated by 8–10-min incubations at 4°C and in the dark, and with immediate mixing after each addition.

Flow cytometry

Surface staining

Cells were labeled with 7-AAD (Sigma-Aldrich) or the Zombie NIR fixable viability dye (BioLegend) and MR1-5-OP-RU tetramers conjugated to PE (Invitrogen) or BV421 (BD Biosciences) for 30 min at 4°C or at room temperature and in the dark. After washing, cells were labeled with CD1d-α-GalCer tetramers conjugated to BV421, PE, or BV785 alongside a panel of cell-surface monoclonal antibodies (Table 1) for 30 min at 4°C or at room temperature and in the dark.

Table 1.

List of monoclonal antibodies and live/dead cellular dyes used

Specificity	Fluorochrome	Clone	Company/Source
Used in mouse experiments
CD16/32	N/A	2.4G2	Produced in-house
7-AAD	N/A	N/A	Sigma-Aldrich
Zombie NIR fixable viability dye	N/A	N/A	BioLegend
Annexin V	BV711	N/A	BD Horizon
Annexin V	FITC	N/A	BD Pharmingen
ARTC2	APC	Nika102	Novus Biologicals
B220 (CD45R)	BUV496	RA3-6B2	BD Horizon
B220 (CD45R)	BV786	RA3-6B2	BD Horizon
CD3	BUV395	145-2C11	BD Horizon
CD4	BUV395	GK1.5	BD Horizon
CD4	AF532	RM4-5	Invitrogen
CD8α	BUV805	53-6.7	BD Horizon
CD27	BUV737	LG.3A10	BD Horizon
CD27	BV605	LG.3A10	BD Horizon
CD38	FITC	90/CD38	BD Pharmingen
CD38	BV711	90/CD38	BD OptiBuild
CD44	AF700	IM7	Invitrogen
CD45.1	PE-Cy7	A20	BD Pharmingen
CD62L	APC	MEL-14	Invitrogen
CD62L	PerCP-Cy5.5	MEL-14	Invitrogen
CD69	BUV737	H1.2F3	BD Horizon
CD319	APC	4G2	BioLegend
ICOS (CD278)	BV711	C398.4A	BioLegend
IFN-γ	PE-Cy7	XMG1.2	BioLegend
IFN-γ	FITC	XMG1.2	BD Pharmingen
IL-4	AF647	11B11	BD Pharmingen
IL-17A	AF647	TC11-18H10	BD Pharmingen
IL-17A	PerCP-Cy5.5	TC11-18H10	BD Pharmingen
P2RX7	PE	1F11	BioLegend
P2RX7	PE-Cy7	1F11	BioLegend
PLZF	PE-Cy7	9E12	BioLegend
RORγt	BV786	Q31-378	BD Horizon
RORγt	PerCP-Cy5.5	Q31-378	BD Pharmingen
T-bet	AF488	4B10	BioLegend
T-bet	BV711	4B10	BioLegend
TCRβ	APC-Cy7	H57-597	BD Pharmingen
γδTCR	BV605	GL3	BioLegend
γδTCR	BV605	GL3	BD OptiBuild
γδTCR	FITC	GL3	BD Pharmingen
Used in human experiments
7-AAD	N/A	N/A	Sigma-Aldrich
LIVE/DEAD blue Near-IR	N/A	N/A	Invitrogen
LIVE/DEAD fixable near-IR	N/A	N/A	Invitrogen
Zombie NIR fixable viability dye	N/A	N/A	BioLegend
CD3	AF700	UCHT2	BD Pharmingen
CD3	BUV395	UCHT2	BD Horizon
CD4	BUV496	SK3	BD Horizon
CD4	AF532	RM4-5	Invitrogen
CD8α	BUV805	SK1	BD Pharmingen
CD14	BUV395	MφP9	BD Pharmingen
CD14	APC-Cy7	MφP9	BD Pharmingen
CD14	BV570	M5E2	BioLegend
CD19	APC-Cy7	SJ25C1	BD Pharmingen
CD19	BV570	HIB19	BD Pharmingen
CD19	BUV737	SJ25C1	BioLegend
CD27	BV785	O323	BioLegend
CD45	AF700	2D1	BioLegend
CD62L	FITC	DREG-56	BD Pharmingen
CD161	PerCP-Cy5.5	HP-3G10	BioLegend
CD161	PE-Cy7	HP-3G10	BioLegend
FcR blocking reagent	N/A	N/A	Miltenyi Biotec
P2RX7	AF647	L4	(Buell et al., 1998; Elhage et al., 2022) Provided by Dr. Xin Huang and Dr. Ben Gu, the University of Melbourne, Florey Institute of Neuroscience and Mental Health
Vα7.2	BV711	3C10	BioLegend
Vα7.2	BV605	3C10	BioLegend
Vδ1	FITC	TS8.2	Invitrogen
Vδ1	VioBlue	REA173	Miltenyi Biotec
Vδ2	BV711	B6	BioLegend
Vδ2	BUV563	B6	BD OptiBuild
γδTCR	PE-Cy7	11F2	BD
γδTCR	R718	11F2	BD OptiBuild

Intracellular transcription factor staining

After surface staining, cells were fixed and permeabilized using the eBioscience Foxp3/Transcription Factor staining kit (Thermo Fisher Scientific) as per manufacturer guidelines. Cells were then stained for intranuclear transcription factors (Table 1) for 60–90 min at 4°C and in the dark prior to acquisition on a flow cytometer.

Intracellular cytokine staining

Cell suspensions generated from anti-ARTC2 NB-treated or untreated mice were stimulated with PMA (10 ng/ml; Sigma-Aldrich) and ionomycin (1 µg/ml; Sigma-Aldrich) in the presence of both GolgiStop (1:1,500) and GolgiPlug (1:1,000) (BD Biosciences) for 4 h at 37°C. Cell suspensions from untreated mice were stimulated with or without the P2RX7i, A438709 (10 µM). A438709 was added to cold stimulation media before incubation at 37°C. After stimulation, cells were washed with FACS buffer and then stained for cell surface markers. Cells were then fixed and permeabilized in accordance with the manufacturer’s guidelines using the BD Cytofix/Cytoperm kit (BD Biosciences). Cells were subsequently stained for anti-IL-17A (AF647 or PerCP-Cy5.5; clone TC11-18H10; BD Biosciences), anti-IFN-γ (FITC; clone XMG12; BioLegend, or PE-Cy7; clone XMG12; BD Biosciences), and anti-IL-4 (AF647; clone 11B11; BD Biosciences).

After labeling, cells were filtered through a 50-µM mesh filter immediately before acquisition on a five-laser (355, 405, 488, 561, and 633 nm) BD LSR Fortessa or Cytek Aurora. Flow cytometric data was analyzed using the FlowJo (BD) and OMIQ (Dotmatics) software.

In vitro culture experiments

To analyze the loss of CD27 from the cell surface, mouse cell suspensions were incubated at 4°C or 37°C for 30 min before labeling with anti-CD27, unless specified otherwise. To analyze phosphatidylserine exposure, cell suspensions were incubated at 4°C or 37°C for 90 min and labeled with Annexin V-FITC or Annexin V-BV711 (BD Biosciences) in line with the manufacturer’s guidelines. In antigen stimulation experiments, where specified, mice were i.v. injected with 5-OP-RU (200 pmol), α-GalCer (2 µg), or PBS and culled 45–60 min later. Liver and spleen cell suspensions were incubated for 40 min with or without the P2RX7i, A438079 (10 µM), at 37°C prior to analysis of CD27 expression and cell death.

For cell culture experiments using RA (all-trans RA; R2625; Sigma-Aldrich), RA was first dissolved at 5 mM in ethanol. Pooled thymuses from three to five mice were subjected to complement-mediated depletion of immature CD24⁺ thymocytes prior to cell culture. To facilitate the survival of spleen and liver unconventional T cells ex vivo, mice were treated with the anti-ARTC2 NB prior to organ harvest. Prior to cell culture, viable spleen cells were isolated via density gradient centrifugation using Histopaque-1083. Cells were cultured with 20 nM RA or with the vehicle control for 3 days prior to analysis.

Adoptive transfer of cells

C57BL/6 WT Ly5.1 mouse donors were either treated with the anti-ARTC2 NB or left untreated 30 min before organ harvest. Liver and spleen cell suspensions were generated as above. To enrich CD44⁺ MAIT, γδT, and NKT cells, spleen cells were depleted of B220- and CD62L-expressing cells via magnetic bead-based depletion (Miltenyi Biotec). Cells from anti-ARTC2 NB-treated or untreated donor mice were labeled with CTV (Invitrogen) or CFSE (Invitrogen), respectively, as per manufacturer’s guidelines. After labeling, donor cells were co-transferred at a 1:1 ratio of total CTV⁺-to-CFSE⁺ cells into C57BL/6 WT Ly5.2 recipients via an i.v. injection into the lateral tail vein. Recipients received either liver or spleen cells from donor mice. Donor cells were then recovered from recipient mice 8 days later from the liver, spleen, and pooled pLNs (inguinal, axillary, brachial). To facilitate the recovery of donor T cells from the spleen, recipient spleens were depleted of B220⁺ cells using magnetic beads as described above.

NAD administration

10 mg of NAD (Sigma-Aldrich) was dissolved in PBS and pH was adjusted to ∼7.4 prior to i.v. injection into mice via the lateral tail vein. Mice were sacrificed 30 min later, and organs were collected for flow cytometric analysis.

Online supplemental material

Fig. S1 shows P2RX7 expression analyses of T-cell subsets from human blood and liver samples. Fig. S2 shows ARTC2 and P2RX7 expression patterns and intensities on T-cell subsets across mouse organs. Fig. S3 shows analyses of conventional and unconventional T cells in P2RX7-deficient mice. Fig. S4 shows the effects of P2RX7 activation on T-cell subsets beyond MAIT1, γδT1, and NKT1 cells. Fig. S5 shows the recovery of adoptively transferred unconventional T cells after ARTC2 blockade from pLNs and the subset distribution of adoptively transferred unconventional T cells from spleen and liver.

Data availability

The data underlying this study are available in the published article and its online supplemental material.