PTEN drives Th17 cell differentiation by preventing IL-2 production

Th17 cells mediate inflammation and autoimmunity. Although it was known that cytokine IL-2 inhibits Th17 cell differentiation, how it does so was elusive. Using IL-17–specific PTEN-deficient mice, Kim et al. show that phosphatase PTEN inhibits IL-2 production and thus promotes Th17 cell differentiation.

Abstract

T helper 17 (Th17) cells are a CD4⁺ T cell subset that produces IL-17A to mediate inflammation and autoimmunity. IL-2 inhibits Th17 cell differentiation. However, the mechanism by which IL-2 is suppressed during Th17 cell differentiation remains unclear. Here, we show that phosphatase and tensin homologue (PTEN) is a key factor that regulates Th17 cell differentiation by suppressing IL-2 production. Th17-specific Pten deletion (Pten^fl/flIl17a^cre) impairs Th17 cell differentiation in vitro and ameliorated symptoms of experimental autoimmune encephalomyelitis (EAE), a model of Th17-mediated autoimmune disease. Mechanistically, Pten deficiency up-regulates IL-2 and phosphorylation of STAT5, but reduces STAT3 phosphorylation, thereby inhibiting Th17 cell differentiation. PTEN inhibitors block Th17 cell differentiation in vitro and in the EAE model. Thus, PTEN plays a key role in Th17 cell differentiation by blocking IL-2 expression.

Introduction

CD4⁺ T cells are key components of the adaptive immune system and are indispensable for pathogen clearance and host protection. CD4⁺ Th1, Th2, and Th17 cells are effector T cells that defend against various pathogens (Zhou et al., 2009; Zhu et al., 2010). Th17 cells produce IL-17A, IL-17F, IL-22, and other chemokines that recruit neutrophils to sites of infection and mediate clearance of pathogens such as extracellular bacteria and fungi (Zhou et al., 2009; Zhu et al., 2010). In addition, Th17 cells play a critical role in human autoimmune diseases such as multiple sclerosis and rheumatoid arthritis (Chabaud et al., 2001; Annunziato et al., 2007). Differentiation of CD4⁺ naive T cells into Th17 cells is regulated by IL-6 and TGF-β (Bettelli et al., 2006; Mangan et al., 2006; Veldhoen et al., 2006; Chung et al., 2009; Ghoreschi et al., 2010; Kimura and Kishimoto, 2010). Upon binding to IL-6R on the cell membrane, IL-6 drives phosphorylation and dimerization of STAT3 (Korn et al., 2009). STAT3 dimers subsequently translocate to the nucleus and induce expression of transcription factor RORγt, which plays a crucial role in driving Th17 cell differentiation (Ivanov et al., 2006; Yang et al., 2008).

IL-2 plays an important role in clonal expansion of activated CD4⁺ T cells. Activated CD4⁺ T cells express high-affinity IL-2R, which comprises α, β, and γ chains, and at the same time produce IL-2 (Gaffen, 2001). Binding of IL-2 to IL-2R contributes to clonal expansion of CD4⁺ T cells via activation of multiple signaling cascades such as JAK-STAT and PI3K/Akt (Lin and Leonard, 2000; Fung et al., 2003). Therefore, IL-2 is a potent growth factor for CD4⁺ T cells. However, it has opposite effects on Th17 cells (Laurence et al., 2007; Liao et al., 2011). In these cells, IL-2 inhibits IL-6R expression and instead induces STAT5 phosphorylation, which inhibits Th17 cell differentiation (Laurence et al., 2007; Yang et al., 2011). Therefore, although IL-2 expression must be repressed to allow Th17 cell differentiation, the molecular mechanisms by which IL-2 is controlled during Th17 cell differentiation remain elusive.

PI3K/Akt signaling is a representative signaling pathway for cell survival, which is activated by IL-2, the TCR, and a costimulatory receptor (CD28; Ward et al., 1992; Fung et al., 2003). Phosphatase and tensin homologue (PTEN), a tumor suppressor, is a negative regulator of PI3K signaling. PTEN dephosphorylates phosphatidyl-3,4,5-triphosphate (PIP₃) into phosphatidyl-4,5-biphosphate (PIP₂), thereby inhibiting the PI3K signaling cascade (Maehama and Dixon, 1998). Several studies reveal that PTEN plays an important role in T cell homeostasis and functions in certain subsets of CD4⁺ T cells (Suzuki et al., 2001; Huynh et al., 2015; Shrestha et al., 2015). For instance, Pten^fl/flLck^cre mice, which harbor T cell–specific deletion of Pten, show disrupted T cell homeostasis and self-tolerance (Suzuki et al., 2001). In addition, Pten^fl/flFoxp3^cre mice, which harbor regulatory T (T reg) cell–specific deletion of Pten, show loss of T reg cell function and stability (Huynh et al., 2015; Shrestha et al., 2015).

Here, we used Th17-specific Pten-deficient mice to examine the role of PTEN in Th17 cell differentiation. We found that Th17-specific deletion of Pten blocks Th17 cell differentiation in vitro. Mice with experimental autoimmune encephalomyelitis (EAE), a model of human multiple sclerosis (Cua et al., 2003; Komiyama et al., 2006), show Th17-specific deletion of Pten, which ameliorated disease symptoms and disrupted Th17 cell differentiation. Pten deficiency induces IL-2 expression and STAT5 phosphorylation, but reduces STAT3 phosphorylation. Furthermore, a specific inhibitor of PTEN, SF1670 (Li et al., 2011), effectively blocks EAE development. Collectively, these results demonstrate that Pten acts as a key regulator of Th17 cell differentiation by regulating IL-2 expression.

Results

Pten deficiency inhibits Th17 cell differentiation in vitro

To investigate the role of PTEN in Th17 cell differentiation, we first measured subset-specific expression of PTEN. We stimulated naive CD4⁺ T cells from C57BL/6 mice under Th1-, Th2-, Th17-, and T reg–polarizing conditions and examined expression of PTEN at the RNA (Fig. 1 A) and protein levels (Fig. 1 B). PTEN expression was higher in Th17 cells than in Th1 and Th2 cells, but lower than in T reg cells. To further investigate the Th17-specific role of PTEN, we generated Th17-specific Pten-deficient mice by crossing Pten^fl/fl mice with Il17a^cre mice to generate Pten^fl/flIl17a^cre mice. We then confirmed that deletion of Pten occurs in a Th17-specific manner (Fig. 1 C) and mostly within 12 h after TCR stimulation (Fig. 1 D) in cells from Pten^fl/flIl17a^cre mice. T cell and B cell development (Fig. S1 A), CD4⁺ and CD8⁺ T cell development (Fig. S1 B), and naive and effector CD4⁺ T cell development (Fig. S1 C) in various lymphoid tissues of Pten^fl/flIl17a^cre mice were comparable with those of control mice. To investigate whether Pten deficiency inhibits Th17 cell differentiation, we stimulated naive CD4⁺ T cells from two different control (either Pten^fl/fl or Il17a^cre) or Pten^fl/flIl17a^cre mice under Th1-, Th2-, Th17-, and T reg–polarizing conditions and examined expression of signature genes within each subset. Surprisingly, expression of IL-17A was completely abolished and that of Rorc and Il23r was greatly reduced in Pten-deficient Th17 cells (Fig. 1, E and F; and Fig. S2, A and B). Expression of Th1/Th2-related genes such as Ifng, Il4, Tbx21, and Gata3 was not changed by Pten deletion (Fig. 1 F). However, expression of Foxp3, Il10, Tgfb1, and Gzmb increased upon Pten deletion (Fig. 1 F). These results suggest that PTEN affects mainly Th17- and T reg–related genes and that the increase of T reg–related genes might be a result of diminished Th17 cell differentiation.

Figure 1.

Th17 cell–specific Pten deficiency or knockdown inhibits Th17 cell differentiation in vitro. (A and B) PTEN expression. Naive CD4⁺ T cells were stimulated under polarizing conditions for 3 d to enable differentiation into different subsets. (A) Level of Pten mRNA in each subset was measured by qRT-PCR. (B) Whole cell lysates were then run on SDS-PAGE gels, and PTEN protein levels were measured by immunoblotting and quantitated by densitometry. β-Actin was used as a loading control (cont). (C–F) Pten deficiency. (C) Naive CD4⁺ T cells were stimulated as in (A), and PTEN protein levels were measured by immunoblotting. (D) Expression of Pten mRNA in Th17 was measured in a time-dependent manner. Naive CD4⁺ T cells from WT (Pten^fl/fl) and cKO (Pten^fl/flIl17a^cre) mice were cultured under Th17-polarizing conditions and harvested at the indicated time points. (E) IL-17A⁺ and FOXP3⁺ cells were measured by flow cytometry. Naive CD4⁺ T cells from WT (Pten^fl/fl) and cKO (Pten^fl/flIl17a^cre) mice were cultured under Th17-polarizing conditions for 3 d. Data were pooled from three individual experiments (bottom). (F) Levels of Ifnγ mRNA in Th1, Il4 mRNA in Th2, Il17a, Rorc, and Il23r mRNA in Th17, and Foxp3 mRNA in T reg cells were measured by qRT-PCR. Expression of Il10, Tgfb1, Gzmb, and Ebi3 mRNA in Th17 cells was measured by qRT-PCR. (G–I) PTEN knockdown. (G) Naive CD4⁺ T cells were transfected with control (LMP) or Pten-shRNAs (#1, #2, and #3). Transfected cells were then harvested, and whole cell lysates were run on SDS-PAGE gels. PTEN protein levels were measured by immunoblotting and quantitated by densitometry. (H and I) Il17a, Rorc, and Il23r mRNA levels by qRT-PCR (H). Data were normalized to Gapdh expression. IL-17A cytokine levels in transfected cells were measured by flow cytometry (I). Data were pooled from three individual experiments (right). Data in A, D, F, and H were pooled from three individual experiments, and data in E and I represent three independent experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; **, P < 0.01; and ***, P < 0.001. n.s., not significant.

Because the Pten gene is deleted after IL-17 expression in the Pten^fl/flIl17a^cre mice, these results suggest the importance of PTEN in already committed Th17 cells. To examine the effect of PTEN on Th17 cell differentiation from naive CD4 T cells, we next examined the effect of PTEN knockdown on Th17 cell differentiation in vitro. Three candidate shRNAs targeting PTEN were generated using the MSCV-LMP vector, and reduced expression of PTEN protein was confirmed (Fig. 1 G). Transduction of retroviral Pten-shRNA into Th17 cells reduced the levels of Il17a mRNA (Fig. 1 H) and the IL-17A⁺ cell population (Fig. 1 I). Collectively, these data indicate that PTEN is required for Th17 cell differentiation in vitro.

Pten deficiency ameliorates Th17-mediated inflammation

Next, we asked whether Th17-specific Pten deficiency inhibits Th17-induced inflammation in vivo. To this end, we used an EAE model, which is a model representative of human disease induced by Th17 cells (Cua et al., 2003; Komiyama et al., 2006). We first injected control Pten^fl/fl and Pten^fl/flIl17a^cre mice with a myelin oligodendrocyte glycoprotein (MOG_35–55) peptide (emulsified in CFA) and pertussis toxin to induce EAE. Clinical scores (based on observed symptoms; see Materials and methods) were then measured. Pten^fl/flIl17a^cre mice were resistant to EAE induction, whereas Pten^fl/fl mice showed symptoms (Fig. 2 A). Mice were sacrificed on day 20, and spinal cords were harvested and examined by staining with hematoxylin and eosin (H&E) and Luxol fast blue (Fig. 2, B and C). Spinal cords from Pten^fl/fl mice showed severe inflammation (Fig. 2 B) and demyelination (Fig. 2 C). In contrast, those from Pten^fl/flIl17a^cre mice showed less severe inflammation (Fig. 2 B) and demyelination (Fig. 2 C). We next harvested the central nervous system (CNS) from EAE-induced Pten^fl/fl and Pten^fl/flIl17a^cre mice and analyzed infiltrating cells by flow cytometry. The percentage and number of IL-17A⁺ cells and GM-CSF⁺ cells in the CNS of Pten^fl/flIl17a^cre mice were markedly lower than those in Pten^fl/fl mice (Fig. 2, D–F). In contrast, the percentage and number of T reg cells in the CNS of Pten^fl/flIl17a^cre mice were markedly higher than those of Pten^fl/fl mice (Fig. 2, D and G). The percentage and number of total CD4⁺ cells in the CNS of Pten^fl/flIl17a^cre mice were also lower (Fig. 2 H). Of note, the number of CD4⁺ IFN-γ⁺ cells in the CNS of Pten^fl/flIl17a^cre mice was slightly lower than that in Pten^fl/fl mice, although the percentage remained unchanged (Fig. 2 I). Previous studies show that ex-Th17 cells produce proinflammatory cytokines, including IFN-γ, during EAE development (Lee et al., 2009; O’Shea and Paul, 2010; Hirota et al., 2011). Thus, the reduced number of CD4⁺IFN-γ⁺ cells could be a result of a reduction in the number of IL-17A–producing cells. Next, we examined the amount of mRNA encoding various signature genes expressed by CNS-infiltrating mononuclear cells (Fig. 2 J). Expression of Th17 signature genes, including Il17a, Il23r, and Rorc, but not Ifng and Foxp3, was markedly reduced in cells from Pten^fl/flIl17a^cre mice (Fig. 2 J). Collectively, these results indicate that Th17-specific Pten deletion inhibits Th17 cell differentiation and effector function in an EAE model.

Figure 2.

Th17-specific Pten deficiency ameliorates neuroinflammation in EAE mice. (A) Clinical scores for WT (Pten^fl/fl) and cKO (Pten^fl/flIl17a^cre) mice (n = 11) after EAE induction. (B and C) Histopathological analysis of lumbar spinal cords from WT and cKO mice at the peak of the disease. (B) H&E-stained sections of spinal cords from WT and cKO mice. Arrows highlight inflammatory foci. Bars, 100 µm. (C) Luxol fast blue–stained sections of spinal cords from WT and cKO mice. Arrows highlight demyelinated foci. Bars, 100 µm. (D) IFN-γ and IL-17A expression (top) and GM-CSF and FOXP3 expression (bottom) by CD4⁺ cells from the CNS were measured by flow cytometry. (E–I) The percentage and absolute number (no) of cells infiltrating the CNS were measured. (E) IL-17A⁺ cells, (F) GM-CSF⁺ cells, (G) FOXP3⁺ cells, (H) CD4⁺ cells, and (I) IFN-γ⁺ cells. (J) The amount of Il17a, Il23r, Rorc, ifng, and Foxp3 mRNA in mononuclear cells isolated from the CNS was measured by qRT-PCR. Data were normalized to Gapdh expression. Data in D are representative of six independent experiments, and data in E–J are pooled from six independent experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; **, P < 0.01; and ***, P < 0.001. n.s., not significant.

Because neutrophils and γ:δ T cells also express IL-17A, we examined whether they are also defective in Pten expression in MOG_35–55 peptide-injected mice. We found that Pten expression was lower in neutrophils, γ:δ T cells, and ILC3 cells isolated from the spleen, peripheral blood, and intestine of Pten^fl/flIl17a^cre mice than in those isolated from control mice; this was not the case for dendritic cells, which do not produce IL-17A (Fig. 3 A). However, the percentage of γ:δ T cells in the spleen, peripheral LNs (pLNs), and thymus was not altered by deletion of Pten (Fig. 3 B). To further examine alterations in the IL-17A producing capacity of γ:δ T cells from Pten^fl/flIl17a^cre mice, we isolated splenocytes from WT and Pten^fl/flIl17a^cre mice, stimulated them with PMA and ionomycin for 4 h, and analyzed IL-17A–producing cells by flow cytometry. The percentage of IL-17A–producing CD4 T cells decreased, but that of IL-17A–producing γ:δ T cells did not, upon IL-17A–specific deletion of Pten (Fig. 3 C), suggesting that γ:δ T cells are not major players in the diminished IL-17A–mediated inflammation observed in Pten^fl/flIl17a^cre mice. During steady-state, a significant fraction of intestinal CD4 T cells are Th17 cells, the presence of which impacts EAE severity (Lee et al., 2011). Indeed, Pten^fl/flIl17a^cre mice had fewer Th17 cells in the colonic lamina propria (Fig. 3 D), suggesting a possible role for these cells.

Figure 3.

γ:δ T cells are not altered in Pten cKO mice. (A) Pten mRNA expression in CD4⁺ T cells, neutrophils, γ:δ T cells, dendritic cells, and ILC3 cells was measured by qRT-PCR. Each cell type was isolated from WT (Pten^fl/fl) and cKO (Pten^fl/flIl17a^cre) mice. Data were normalized to Gapdh expression. Data were pooled from three individual experiments. (B) Development of γ:δ T cells in the spleen, pLNs, and thymus was measured by flow cytometry after cells were isolated from WT and cKO mice. (C) Splenocytes from WT and cKO mice were stimulated with PMA/ionomycin for 4 h, and gated on CD3ε⁺ CD4⁺ population (top) or CD3ε⁺ γ:δ TCR⁺ population (bottom), and IL-17A expression was measured. Data were pooled from three individual experiments (right). (D) Mononuclear cells were isolated from colonic lamina propria. Cells were stimulated with PMA/ionomycin for 4 h, and IL-17A expression by CD4⁺ T cells was measured by flow cytometry. Data were pooled from three individual experiments (right). Dot plot data in B–D are representative of three individual experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; **, P < 0.01; and ***, P < 0.001.

Pten deficiency promotes IL-2 expression by Th17 cells

Next, we explored the molecular mechanism underlying PTEN-mediated Th17 cell differentiation. PTEN acts as a negative regulator of PI3K signaling by dephosphorylating PIP₃ to yield PIP₂, thereby reversing PI3K signaling (Stambolic et al., 1998). PI3K/Akt signaling acts downstream of signals transduced by the TCR or CD28 (Ward et al., 1992). Previous studies reveal that the PI3K/Akt signaling cascade induces IL-2 expression in T cells and regulates their proliferation and survival (Eder et al., 1998; Kane et al., 1999, 2001). Previous studies also show that IL-2 inhibits Th17 cell differentiation (Laurence et al., 2007; Liao et al., 2011; Yang et al., 2011). Thus, we hypothesized that Pten deficiency induces IL-2 production in Th17 cells, and that increased IL-2 levels eventually block Th17 cell differentiation. To test this, we first examined IL-2 expression in Pten-deficient Th17 cells. We stimulated naive CD4 T cells from Pten^fl/fl and Pten^fl/flIl17a^cre mice under Th17-polarizing conditions by TGF-β, IL-6, IL-1β, and TNF for 3 d and then measured the amount of Il2 mRNA on a daily basis (Fig. 4). The amount of Il2 mRNA in Pten-deficient cells on day 1 (Fig. 4 A, left) and day 2 (Fig. 4 A, right) was significantly higher than that in the control group. Next, we examined expression of IL-2 protein in Th17 cells (Fig. 4 B) and in the culture medium (Fig. 4 C). Pten deficiency greatly induced expression of IL-2 protein by Th17 cells (Fig. 4, B and C). To examine the possibility that PTEN is important for Th17 cell differentiation in the presence of only certain combinations of cytokines (e.g., TGF-β/IL-6/IL-1β/TNF used in the aforementioned experiment), we examined PTEN-mediated regulation of IL-2 in the presence of a different combination of polarizing cytokines. When we used a cytokine combination of IL-1β/IL-6/IL-23, we observed induction of IL-2 and a reduction of IL-17 (similar to the combination of TGF-β/IL-6/IL-1β/TNF; Fig. S2 C), excluding the possibility that only certain cytokine combinations are relevant. We next used a transient reporter assay and a siRNA-mediated knockdown approach to confirm that Pten deficiency promotes IL-2 expression. We first transfected an EL4 cell line with a pGL3-Il2 promoter vector and control siRNA or PTEN siRNA and then measured Il2 promoter activity using a dual luciferase assay (Fig. 4 D). PTEN knockdown induced Il2 promoter activity in a PTEN siRNA dose-dependent manner. IL-17A production by Pten-deficient cells was restored when a neutralizing anti–IL-2 antibody was added to the culture medium (Fig. 4, E and F), suggesting that IL-2 is a critical mediator of Pten deficiency. Collectively, these results indicate that Pten deficiency induces IL-2 expression in Th17 cells, and that increased IL-2 expression inhibits Th17 cell differentiation.

Figure 4.

Pten deficiency promotes IL-2 production in Th17 cells. (A) Il2 mRNA levels at days 1, 2, and 3 of culture were measured by qRT-PCR (left). Il2 mRNA levels at day 2 are presented separately (right). Naive CD4⁺ T cells from WT (Pten^fl/fl; black line) and cKO (Pten^fl/flIl17a^cre; gray line) mice were cultured under Th17-polarizing conditions. Data were normalized to Gapdh expression. (B and C) IL-2 was measured by flow cytometry (B). Cells from WT (red line) and cKO (blue line) mice were cultured under Th17-polarizing conditions for 3 d. (C) IL-2 cytokine levels in the supernatant of cultured cells were measured by ELISA. Cells were cultured under the same conditions as in (B). (D) Il2 promoter activity was measured in a dual luciferase assay. EL4 cells were transfected with varying concentrations of the pGL3-il2 promoter vector and PTEN siRNA. Relative luciferase activity was calculated by dividing Firefly luciferase activity by Renilla luciferase activity. Cont, control siRNA. (E and F) IL-17A and FOXP3 expression was measured by flow cytometry (E), and Il17a, Rorc, Il23r, and Foxp3 mRNA levels were measured by qRT-PCR (F). Data were pooled from three individual experiments (E, right). Naive CD4⁺ T cells from WT and cKO mice were cultured under Th17-polarizing conditions in the presence of an anti–IL-2 antibody (S4B6). Dot plot data represent three independent experiments, and data in A–D and F were pooled from three independent experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; **, P < 0.01; and ***, P < 0.001. n.s., not significant.

Pten deficiency activates STAT5 in Th17 cells

Next, we examined whether Pten deficiency induces phosphorylation of components downstream of the PI3K/Akt signaling pathway. We examined Akt phosphorylation at S473 and T308, which are well-known phosphorylation sites on the Akt molecule (Fig. 5, A and B; Fresno Vara et al., 2004). We found that Pten deficiency promoted phosphorylation at both sites. However, phosphorylation of S6, which is downstream of the mTORC1 signal cascade, was no different in WT and Pten-deficient cells (Fig. 5 C), suggesting that PTEN does not affect mTORC1 signaling.

Figure 5.

Pten deficiency in Th17 cells induces phosphorylation of STAT5. (A–F) pAkt (S473) (A), pAkt (T308) (B), pS6 (C), pSTAT3 (D), pSTAT5 (E), and IL-6R (F) expression was measured by flow cytometry. Mean fluorescence intensity of each experiment was measured and pooled from three independent experiments (right). Naive CD4⁺ T cells from WT (Pten^fl/fl; red line) and cKO (Pten^fl/flIl17a^cre; blue line) mice were cultured under Th17-polarizing conditions for 3 d. (G) Naive CD4⁺ T cells from WT (Pten^fl/fl) and cKO (Pten^fl/flIl17a^cre) mice were cultured under Th17-polarizing conditions for 3 d in the presence or absence of a STAT5 inhibitor (10 µM). The percentage and number of IL-17A⁺ and FOXP3⁺ cells were measured by flow cytometry. Data were pooled from three individual experiments (right). (H) Cells were cultured under the same conditions described in (G). Il17a, Rorc, Il23r, and Foxp3 mRNA levels were measured by qRT-PCR, and data were normalized to Gapdh expression. Data were pooled from three independent experiments. Flow cytometry data represent three independent experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; **, P < 0.01; and ***, P < 0.001. n.s., not significant.

Previous studies show that IL-2 inhibits expression of Th17 signature genes by simultaneously activating STAT5 phosphorylation and inactivating STAT3 phosphorylation (Laurence et al., 2007; Yang et al., 2011). Because IL-2 production increased in Pten-deficient Th17 cells, we next examined phosphorylation of STAT5 and STAT3 in Pten-deficient Th17 cells (Fig. 5, D and E). As predicted, STAT5 phosphorylation increased but STAT3 decreased compared with WT Th17 cells, indicating that Pten deficiency induces changes in the phosphorylation status of STAT5 and STAT3, which inhibit Th17 cell differentiation. Expression of IL-6R was also reduced in Pten-deficient Th17 cells (Fig. 5 F), suggesting that it may be related to reduction of STAT3 phosphorylation. Moreover, when a STAT5 inhibitor was added to Pten-deficient Th17 cells, IL-17A expression was restored (Fig. 5, G and H). Collectively, these results demonstrate that Pten deficiency activates STAT5 and IL-2 signaling, which in turn inhibits Th17 cell differentiation.

Pten deficiency causes alteration of gene expression profile in Th17 cells

To examine whether Pten deficiency alters global gene expression profiles, we performed microarray analysis with in vitro–differentiated Th17 cells from WT and Pten^fl/flIl17a^cre mice (Dataset S1 and GEO accession no. GSE102414). Gene ontology analysis revealed that the top three gene categories altered in Pten-deficient Th17 cells were immune response, regulation of cell proliferation, and defense response (Fig. 6 A). The expression of genes related to Th17 cell differentiation and function decreased, whereas that related to T reg cell differentiation and function increased, in Pten-deficient Th17 cells (Fig. 6 B), which is consistent with the aforementioned results. We also analyzed expression of transcription factors that regulate Il2 transcription (Kim et al., 2006) in Pten-deficient Th17 cells. Among them, expression of Crem and Satb1, which are negative regulators (Tenbrock et al., 2002, 2003; Kumar et al., 2005), decreased, but that of Egr1, a positive regulator (Decker et al., 1998), increased (Fig. 6 C), providing a clue to the molecular mechanism underlying increased IL-2 expression in these cells.

Figure 6.

Pten deficiency causes an alteration of gene expression profile in Th17 cells. (A) Gene ontology analysis of genes differentially expressed in Th17 cells from WT (Pten^fl/fl) and Pten cKO (Pten^fl/flIl17a^cre) mice. (B) Heat map of representative signature genes of Th17 and T reg cells expressed in WT and Pten cKO Th17 cells. (C) Heat map of representative genes associated with ll2 expression in WT and Pten cKO Th17 cells.

PTEN inhibitors block Th17 cell differentiation in vitro

Because the aforementioned results suggest that PTEN is a critical regulator of Th17 cell differentiation and Th17-mediated disease, we next examined the possibility that inhibitors of PTEN can prevent or treat Th17-mediated disease.

As a first step, we asked whether inhibitors of PTEN inhibit Th17 cell differentiation in vitro. First, we used SF1670, the most potent PTEN-specific inhibitor (Li et al., 2011). Naive CD4⁺ T cells were cultured under Th0-polarizing conditions in the presence of SF1670, and the amount of Il17a and Foxp3 mRNA was measured by quantitative RT-PCR (qRT-PCR). SF1670 treatment led to a marked reduction in the amount of Il7a mRNA but to a slight increase in the amount of Foxp3 mRNA (Fig. 7 A). Next, we cultured naive CD4⁺ T cells under Th17-polarizing conditions in the presence of SF1670 and measured expression of IL-17A and FOXP3 protein (Fig. 7, B and C) and of Il17a and Rorc mRNA (Fig. 7 D). Consistent with the gene-deficiency experiments, SF1670 led to a marked reduction in expression of Th17 signature genes in a dose-dependent manner (Fig. 7 D). Furthermore, SF1670 induced FOXP3 expression under induced T reg conditions (Fig. S3). These data indicate that SF1670 controls the Th17/T reg balance by regulating IL-17A/FOXP3 expression. To confirm this, we repeated the experiments with another PTEN inhibitor, bpv(phen) (Schmid et al., 2004). Bpv(phen) also reduced expression of Th17-related genes but induced expression of FOXP3 under Th17-polarizing conditions in a dose-dependent manner (Fig. S4). We then used 7AAD and Annexin V double staining to examine cell viability in the presence of a PTEN inhibitor (Fig. 7 E and Fig. S4 D) and in an MTS assay (Fig. 7 F and Fig. S4 E). Cell viability, as measured by both methods, was unaffected by the PTEN inhibitors. These results indicate that PTEN inhibitors interrupt Th17 cell differentiation in vitro.

Figure 7.

PTEN inhibitors block Th17 cell differentiation in a dose-dependent manner. (A) Cells were cultured under Th0-polarizing conditions for 2 d, and Il17a and Foxp3 mRNA levels were measured by qRT-PCR. Data were normalized to Gapdh expression. (B and C) Cells were cultured under Th17-polarizing conditions with concomitant treatment with SF1670 as indicated for 3 d. The percentage and number of IL-17A⁺ and FOXP3⁺ cells were then measured by flow cytometry. (D) Il17a, Rorc, and Il23r mRNA levels were measured by qRT-PCR. (E and F) Cell viability after treatment with a PTEN inhibitor was measured by flow cytometry (E) and in an MTS assay (F). Data were pooled from three individual experiments (E, right). Data in A, C, D, and F were pooled from three independent experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; **, P < 0.01; and ***, P < 0.001.

Inhibition of PTEN ameliorates EAE symptoms

Finally, we examined the therapeutic effects of SF1670 in EAE mice. EAE was induced by injecting mice with a MOG_35–55 peptide (emulsified in CFA) and pertussis toxin on day 0, followed by an additional injection of pertussis toxin on day 2. The mice were then injected with SF1670 (1 μmol/kg) every other day from day 2 and sacrificed at day 20 (Fig. 8 A). SF1670 effectively ameliorated the symptoms of EAE (Fig. 8 B). The percentage and number of CNS-infiltrating IL-17A⁺ cells was lower in SF1670-treated mice than in untreated mice (Fig. 8, C and D), whereas the percentage and number of CD4, IFN-γ⁺, IL-17⁺IFN-γ⁺, CD8 cells, and granulocytes was unchanged (Fig. 8, E–G; and Fig. S5, A and B). Cell number of macrophages was slightly decreased by SF1670, but the percentage was not changed (Fig. S5, A and B). In addition, the percentage of infiltrating FOXP3⁺ T reg cells was slightly higher after SF1670 treatment (Fig. 8 H, left); however, the absolute number of cells was unchanged (Fig. 8 H, right). Moreover, the amount of Il17a and Rorc mRNA in CNS-infiltrated mononuclear cells was greatly reduced, whereas that of Foxp3 increased (Fig. 8 I). Because deleting PTEN from APCs modulates EAE severity (Blüml et al., 2015; Sahin et al., 2015), the aforementioned results may be caused by pharmacologic inhibition of Th17 cells, APCs, or both. We addressed this question by treating EAE-induced Pten^fl/flIl17a^cre mice with an inhibitor, SF1670. We then measured the effect of the PTEN inhibitor on non–IL-17 producer cells. SF1670 did not cause further decrease in EAE severity (Fig. S5 C), suggesting that the inhibitor mainly affects IL-17⁺ cells. Collectively, these results demonstrate that PTEN inhibitor SF1670 effectively blocks Th17-mediated inflammation in vivo.

Figure 8.

SF1670 ameliorates the symptoms of EAE by blocking Th17 cell differentiation. (A) Schematic illustration of EAE induction. EAE was induced as described in the Materials and methods section. PTX, pertussis toxin. (B) The clinical scores for control and SF1670-treated mice (n = 5) after EAE induction. (C) The amount of IFN-γ and IL-17A produced by CD4⁺ cells from the CNS was measured by flow cytometry. (D–H) Percentage and absolute number (no) of cells infiltrating the CNS. (D) IL-17A⁺ cells, (E) CD4⁺ cells, (F) IFN-γ⁺ cells, (G) IL-17A⁺ IFN-γ⁺ cells, and (H) FOXP3⁺ cells. (I) Il17a, Il23r, Rorc, Ifng, and Foxp3 mRNA levels in mononuclear cells from the CNS were measured by qRT-PCR, and data were normalized to Gapdh expression. Data in C are representative of five independent experiments, and those in D–I are pooled from five independent experiments. Error bars represent the SD. Statistical differences between groups were determined by the Student t test. *, P < 0.05; and ***, P < 0.001. n.s., not significant.

Discussion

Here, we show that PTEN plays an important role in Th17 cell differentiation. To explore the Th17-intrinsic role of PTEN, we first generated Pten^fl/flIl17a^cre mice, which harbor Th17 cells lacking Pten. We then used an EAE model to show that Th17-specific Pten deletion ameliorates the symptoms of EAE by inhibiting Th17 cell differentiation. Pten deficiency increased IL-2 expression, which signals through STAT5 to inhibit Th17 cell differentiation. Furthermore, a PTEN inhibitor, SF1670, efficiently blocked Th17 cell differentiation in vitro and ameliorated EAE symptoms. These results indicate that PTEN is an important regulator of Th17 cell differentiation, and that inhibiting PTEN may be a potential therapeutic strategy for Th17-mediated autoimmune diseases.

Th17 cells have features distinct from those of other CD4⁺ effector T cells. One such feature is that they show different responses to CD28 costimulatory signals. CD28 costimulatory signaling promotes homeostatic proliferation and activation of CD4⁺ T cells by inducing IL-2 expression (June et al., 1987; Boyman and Sprent, 2012). However, CD28 signaling is not helpful for Th17 cell differentiation because it inhibits Th17 cell development and blocks IL-17A cytokine expression (Bouguermouh et al., 2009). Furthermore, recent studies reveal that IL-2 inhibits Th17 cell differentiation directly by silencing the Il17a gene independently of crucial transcription factors such as FOXP3 and RORγt (Elias et al., 2008). This differential reactivity to IL-2 can be used to selectively inhibit Th17 cell differentiation and function and, thus, cure Th17-mediated diseases. The present study describes one example of this by demonstrating that PTEN inhibition induces IL-2 production, thereby selectively inhibiting Th17 cell differentiation and ameliorating EAE.

The role of the PI3K pathway in Th17 cell differentiation is controversial. Kurebayashi et al. (2012) used PI3K p85α-deficient mice or a selective inhibitor of PI3K p110δ and found that blocking the PI3K/Akt/mTOR pathway inhibits Th17 cell differentiation because of a failure to repress Gfi1 expression and a failure to translocate RORγ. However, Pierau et al. (2009) used constitutively active Akt transgenic mice to show that increased PI3K/Akt signaling also impairs Th17 cell differentiation. The reason for these different results is not clear at this time. One possible explanation for the discrepancy is the different experimental systems used; one is a loss-of-function system whereas the other is a gain-of-function system. Another possible explanation is that regulation of PI3K/Akt signaling may require a narrow window of activity as it seems that either inhibiting or overactivating the PI3K/Akt signaling pathway inhibits Th17 cell differentiation. This delicate balance is manifested by well-known Pten haploinsufficiency phenotypes in the immune system (Di Cristofano et al., 1999). Pten heterozygote mice develop a progressive lymphoproliferative, autoimmune phenotype that becomes clinically overt by 6–9 mo of age (Di Cristofano et al., 1999). Further experiments are needed to resolve these discrepancies.

Some studies reported that PTEN down-regulates STAT3 activation by dephosphorylating Y705 in human papillomavirus-infected cells (Sun and Steinberg, 2002) and that PTEN inhibits phosphorylation of Akt and STAT3 in a glioblastoma cell line (Moon et al., 2013). On the other hand, PTEN-deficiency triggers the signaling cascades that inhibit STAT3 activation in mouse astrocytes and human glioblastoma tumors (de la Iglesia et al., 2008a,b). Our current study shows that PTEN-deficiency caused inhibition of STAT3 in CD4 T cells. Thus, it seems that whether PTEN activates or inhibits STAT3 depends on cellular context. The role of PTEN in autoimmunity also seems to be context-dependent. It has been reported that PTEN overexpression ameliorates autoimmune arthritis through down-regulating STAT3 activation (Lee et al., 2016). In contrast, it has been also reported that loss of PTEN in myeloid cells decreases autoimmune arthritis progression in a mouse model (Blüml et al., 2015; Sahin et al., 2015). These studies suggest that the role of PTEN is context-dependent and that different methods of experiments, overexpression versus deletion, could yield different results. As we discussed above that regulation of PI3K/Akt signaling may require a narrow window of activity in Th17 cell differentiation, the amount of PTEN may have a critical range to exert certain physiological effect.

Previously, Akt signaling was considered to play a crucial role in autoimmunity, and PTEN was believed to regulate autoimmunity ( Ward et al., 1992; Soond et al., 2012). Indeed, some studies report that Pten deficiency in T cells leads to loss of self-tolerance (Suzuki et al., 2001) and enhances the helper function of CD4⁺ T cells (Soond et al., 2012). However, the results of the studies showed that the Pten deficiency drove Th1/Th2-mediated, not Th17-mediated, autoimmunity. Furthermore, recent studies reveal that T reg–specific Pten deficiency causes fatal autoimmunity in mice (Huynh et al., 2015; Shrestha et al., 2015). Yet direct evidence showing that Pten deficiency leads to T17-mediated autoimmunity by enhancing Akt signaling is lacking, and the relationship between the PTEN/Akt axis and Th17 cells remains elusive. Here, we examined the effect of PTEN on Th17 cells using Th17-specific Pten-deficient mice (Pten^fl/flIl17a^cre). The data show that deleting Pten from Th17 cells induces phosphorylation of Akt and preferentially affects the STAT5 pathway without affecting the mTOR pathway, which explains the increased IL-2 production and subsequent inhibition of Th17 cell differentiation.

We also identified PTEN as a therapeutic target for curing Th17-mediated inflammatory disease. Signaling molecules that play a crucial role in Th17 cell differentiation may be therapeutic targets for inflammatory disease, as reported by recent studies showing that Th17-mediated inflammatory diseases can be cured by treatment with antagonists of IL-6R (Li et al., 2016) and RORγt (Chang et al., 2014). Here, we show that a PTEN inhibitor, SF1670, efficiently blocked Th17 cell differentiation in a dose-dependent manner and ameliorated the symptoms of EAE. SF1670 treatment did not affect cell viability, and periodic treatment with SF1670 did not cause noticeable side effects in mice. In the EAE model, IL-17A expression by infiltrating cells was greatly reduced by SF1670, whereas IFN-γ expression showed a small, nonsignificant reduction. The small reduction in the number of IFN-γ⁺ cells is likely caused by the reduction in the number of IL-17A⁺ cells because recent studies show that IL-17A–expressing RORγt⁺ T-bet⁺ cells are converted to IFN-γ–expressing cells (Lee et al., 2009; O’Shea and Paul, 2010; Hirota et al., 2011). In addition, introduction of SF1670 induced FOXP3⁺ T reg cells, an effect that may be a result of increased IL-2 expression, which acts on the STAT5/FOXP3 axis to induce T reg cell differentiation. Thus, promoting the suppressive function of T reg cells by increasing IL-2 levels may strengthen the effects of SF1670 in ameliorating EAE symptoms. Although we showed that SF1670 ameliorated EAE symptoms, interpretation of the results is somewhat complex and requires caution because the inhibitor may have some off-target effects. Recent studies show that PTEN is essential for T reg cell stability and for their function in suppressing Th1 and Tfh cell responses (Huynh et al., 2015; Shrestha et al., 2015). In addition, PTEN is required for APC-mediated induction of Th17 responses (Blüml et al., 2015; Sahin et al., 2015). SF1670 may affect PTEN activity in non–IL-17A producer cells to reduce EAE severity. Although our experiments on the effect of SF1670 on EAE severity in IL-17A–specific Pten-deficient mice suggest that the inhibitor mainly affects IL-17A⁺ cells (at least under these conditions), we cannot completely exclude the possibility that there may be other unknown off-target effects.

In summary, loss of Pten inhibits Th17 cell differentiation. Therefore, targeting PTEN might be a therapeutic strategy for curing autoimmune diseases such as multiple sclerosis, psoriasis, and rheumatoid arthritis. The detailed mechanisms underlying the action of PTEN in the setting of autoimmune disease are still to be identified.

Materials and methods

Mice

C57BL/6 mice (6–8 wk old) were purchased from Daehan Bio Link. Pten^fl/fl and Il17a^cre mice were purchased from the Jackson Laboratory. All animal experiments were approved by the Sogang University Institutional Animal Care and Use Committee.

Preparation and differentiation of CD4⁺ T cells in vitro

CD4⁺ naive T cells were isolated from 6–8-wk-old mice, and naive T cells were purified using the following antibodies: anti-NK1.1 (108712, BioLegend), anti-CD25 (102014, BioLegend), anti-I-A/I-E (107610, BioLegend), anti-CD8a (100716, BioLegend), BioMag goat anti–rat IgG (Qiagen), and BioMag goat anti–mouse IgG (Qiagen) for negative selection; and biotinylated anti-CD62L (104404, BioLegend) and antibiotin microbeads (Miltenyi Biotec) for positive selection. CD4⁺ naive T cells were activated by plate-bound anti-CD3ε (10 µg/ml) and anti-CD28 (10 µg/ml) antibodies and incubated for 3 d. The following antibodies and cytokines were used to induce differentiation: Th1 cell differentiation: mouse recombinant IL-2 (1 ng/ml, eBioscience), mouse recombinant IL-12 p70 (3.5 ng/ml, eBioscience), and anti–IL-4 antibody (2 µg/ml); Th2 cell differentiation: mouse recombinant IL-2 (1 ng/ml), mouse recombinant IL-4 (5 ng/ml, eBioscience), and an anti–IFN-γ antibody (2 µg/ml); Th17 cell differentiation: mouse recombinant IL-6 (50 ng/ml, eBioscience), human recombinant TGF-β1 (2 ng/ml, eBioscience), mouse recombinant IL-1β (2 ng/ml, eBioscience), mouse recombinant TNF (1 ng/ml, eBioscience), and anti–IFN-γ (2 µg/ml) and anti–IL-4 antibodies (2 µg/ml); and T reg cell differentiation: mouse recombinant IL-2 (1 ng/ml), human recombinant TGF-β1 (5 ng/ml), and anti–IFN-γ (5 ng/ml) and anti–IL-4 antibodies (5 ng/ml). For another Th17 cell differentiation, mouse recombinant IL-6 (50 ng/ml), mouse recombinant IL-1β (2 ng/ml), and mouse recombinant IL-23 (5 ng/ml, BioLegend) cytokines were used. SF1670 and bpv(phen) (PTEN inhibitors) were purchased from Sigma-Aldrich. A STAT5 inhibitor was purchased from Merck Millipore.

Flow cytometry

Cells were harvested and stimulated for 4 h with PMA (50 ng/ml), ionomycin (750 ng/ml), and Brefeldin A (BioLegend). For intracellular staining, cells were fixed and permeabilized (eBioscience) and then stained with FITC-conjugated anti–IFN-γ (505806, BioLegend), PE-conjugated anti–IL-13 (12-7133-81, eBioscience), PerCP/Cy5.5-conjugated anti–IL-17A (506919, BioLegend), and APC-conjugated anti-FOXP3 (17-5773-80, eBioscience) antibodies. To analyze lymphocyte development in Pten^fl/flIl17a^cre mice, cells isolated from the thymus, pLNs, and spleen were stained with FITC-conjugated anti-CD3ε (11-0031-81, eBioscience), PE-conjugated anti-B220 (12-0451-82, eBioscience), PerCP/Cy5.5-conjugated anti-CD8 (126609, BioLegend), APC-conjugated anti-CD4 (100411, BioLegend), FITC-conjugated anti-CD44 (103006, BioLegend), PE-conjugated anti-CD62L (104407, BioLegend), and PerCP/Cy5.5-conjugated anti-TCR γ/δ (118117, BioLegend) antibodies. For other surface antigen staining, cells were stained with APC-conjugated anti–IL-6Rα (115811, BioLegend), APC-conjugated anti-CD45 (103111, BioLegend), FITC-conjugated anti–GR-1 (108405, BioLegend), and FITC-conjugated anti-CD11b (101205, BioLegend) antibodies. Stained cells were then analyzed using a FACSCalibur flow cytometer (BD Bioscience), and data were analyzed with FlowJo software.

Phosphorylation analysis

Cells were stimulated with mouse recombinant IL-6 (100 ng/ml, eBioscience) for 15 min at 37°C or with PMA (40 nM) for 15 min at 37°C and then harvested, fixed, and permeabilized in IC Fixation Buffer (eBioscience), and stained with FITC-conjugated anti-pSTAT3 (Y705, 557814, BD Bioscience), FITC-conjugated anti-pSTAT5 (Y694, 11–9010-41, eBioscience), PE-conjugated anti-pAkt (T308, 558275, BD Bioscience), PE-conjugated anti-pAkt (S473, 560378, BD Bioscience), and PE-conjugated anti-pS6 (S235/S236, 12–9007-41, eBioscience). Stained cells were analyzed using a FACSCalibur flow cytometer (BD Bioscience).

Cell viability assay

Cells were cultured for 3 d, and proliferation was measured using a CellTiter 96 AQueous One Solution Cell Proliferation Assay kit (Promega) according to the manufacturer’s instructions.

Luciferase reporter assay

The luciferase assay was performed as described previously (Kim et al., 2016). In brief, a pGL3-Il2 promoter vector, a pRL Renilla luciferase control reporter vector, and PTEN siRNA (Santa Cruz Biotechnology, Inc.) were cotransfected into EL4 mouse lymphoma cells using a Gene Pulser (Bio-Rad Laboratories, Inc.) at 950 μF and 270 V. Transfected cells were then allowed to recover in complete medium for 18 h before stimulation with anti-CD3ε (10 µg/ml) and anti-CD28 (10 µg/ml) antibodies for 24 h. Cells were then harvested and examined using the Dual Luciferase Reporter Assay System (Promega), according to the manufacturer’s instructions. Relative luciferase activity was calculated by dividing Firefly luciferase activity by Renilla luciferase activity.

Induction of EAE

At day 0, 8–10-wk-old female mice were immunized subcutaneously with 200 µg of MOG_35–55 (Peptron) emulsified with CFA containing 5 mg/ml heat-killed Mycobacterium tuberculosis (Chondrex), followed by an intraperitoneal injection of 200 ng of pertussis toxin (List Biological Laboratories). Mice then received an intraperitoneal injection of 200 ng of pertussis toxin on day 2. Mice were examined daily for clinical signs of disease, which were scored as follows: 0, no symptoms; 1, limp tail; 2, weakness of hind legs; 3, complete paralysis of hind legs; 4, complete hind leg and partial front leg paralysis; 5, moribund state (Lee et al., 2015).

Isolation and analysis of CNS cells

Mice were anesthetized and perfused. The brain and spinal cord were then removed and homogenized. Mononuclear cells were isolated by gradient centrifugation at 670 g for 30 min on a 30/70% Percoll gradient (GE Healthcare). Isolated cells were stimulated with PMA (50 ng/ml), ionomycin (750 ng/ml), and Brefeldin A (BioLegend) for 4 h and then stained with FITC-conjugated anti–IFN-γ (BioLegend), PerCP/Cy5.5-conjugated anti–IL-17A (BioLegend), FITC-conjugated anti–GM-CSF (505403, BioLegend), APC-conjugated anti-FOXP3 (eBioscience), and APC-conjugated anti-CD4 antibodies (Lee et al., 2015).

Isolation of lamina propria lymphocytes

Mice were sacrificed, and intestines were removed, opened longitudinally, and cut into 1cm pieces. The pieces were then incubated twice in 5 mM EDTA in PBS for 15 min at 37°C, and then the epithelial cell layer was removed by vortexing and passing through a 100-µm cell strainer. After incubation with EDTA solution, tissues were washed, minced into small pieces, and digested for 1 h at 37°C in digestion solution containing 4% FBS, 0.5 mg/ml collagenase D (Roche), 0.5 mg/ml DNase I (Sigma-Aldrich), and 3 mg/ml dispase II (Sigma-Aldrich). The resulting solution was strongly vortexed and passed through a 40-µm cell strainer. Mononuclear cells were isolated by gradient centrifugation on a 30/70% Percoll gradient (GE Healthcare) at 670 g for 30 min. Isolated cells were stained for ILC3 isolation or stimulated with PMA (50 ng/ml), ionomycin (750 ng/ml), and Brefeldin A (BioLegend) for 4 h and then stained with PerCP/Cy5.5-conjugated IL-17A, and APC-conjugated anti-CD4 antibodies. For ILC3 isolation, cells were stained with FITC-conjugated anti-Lineage cocktail, APC-conjugated anti-CD117, and PerCP/Cy5.5-conjugated anti-NKp46 antibodies, and then Lineage⁻ NKp46⁻ CD117⁺ cells were sorted. All fluorochrome-conjugated antibodies were purchased from BioLegend.

RNA isolation and qRT-PCR

Cells were harvested and homogenized in TRI Reagent (Molecular Research Center, Inc.). Total RNA was isolated according to the manufacturer’s instructions, and RT was performed using TOPscript RT (Enzynomics), according to the manufacturer’s instructions. qRT-PCR was performed using HiFast Probe Lo-ROX and HiFast SYBR Lo-ROX master mix (PCR Biosystems Ltd.) and a 7500 Real-Time PCR System (Applied Biosystems), according to the manufacturer’s instructions. The primers used are listed in Table S1.

Transfection of retroviral shRNA

Pten-shRNA vectors were constructed on a MSCV-LMP backbone (GE Healthcare). Template 97-mer oligonucleotides for Pten shRNA were amplified and inserted into the MSCV-LMP vector according to the manufacturer’s instructions. The following oligonucleotide sequences were used: shRNA 1, 5′-TGCTGTTGACAGTGAGCGCACAATCTATGTGCTGAGAGACTAGTGAAGCCACAGATGTAGTCTCTCAGCACATAGATTGTATGCCTACTGCCTCGGA-3′; shRNA 2, 5′-TGCTGTTGACAGTGAGCGAACAATGAACCTGATCATTATATAGTGAAGCCACAGATGTATATAATGATCAGGTTCATTGTCTGCCTACTGCCTCGGA-3′; and shRNA 3, 5′-TGCTGTTGACAGTGAGCGCTCTGTGAAGATCTTGACCAATTAGTGAAGCCACAGATGTAATTGGTCAAGATCT-TCACAGAATGCCTACTGCCTCGGA-3′.

ELISA

ELISA was performed as previously described (Kim et al., 2015). In brief, cells were cultured, the supernatant was harvested, and the amount of IL-2 was measured using the following antibodies and reagents: a purified anti–IL-2 antibody (BD Bioscience), a biotin-conjugated anti–IL-2 antibody (BD Bioscience), and mouse recombinant IL-2 (eBioscience). Absorbance was measured at 490 nm in a microplate reader (Bio-Rad).

Microarray analysis

The Affymetrix Whole-Transcript expression array process was executed according to the manufacturer's protocol (GeneChip Whole Transcript PLUS Reagent kit). cDNA was synthesized using the GeneChip Whole Transcript Amplification kit as described by the manufacturer. The sense cDNA was then fragmented and biotin-labeled with terminal deoxynucleotidyl transferase using the GeneChip Whole Transcript Terminal labeling kit. Approximately 5.5 µg of labeled DNA target was hybridized to the Affymetrix GeneChip Mouse 2.0 ST Array at 45°C for 16 h. Hybridized arrays were washed and stained on a GeneChip Fluidics Station 450 and scanned on a GCS3000 Scanner (Affymetrix). Signal values were computed using the Affymetrix GeneChip Command Console software. Raw data were extracted automatically in Affymetrix data extraction protocol using the Command Console Software. After importing CEL files, the data were summarized and normalized with the robust multi-average (RMA) method implemented in Affymetrix Expression Console Software. We exported the result with gene level RMA analysis and performed the differentially expressed gene (DEG) analysis. The comparative analysis between test sample and control sample was performed using fold change. Gene-Enrichment and Functional Annotation analysis for significant probe list was performed using DAVID (http://david.abcc.ncifcrf.gov/home.jsp). All statistical tests and visualizations of differentially expressed genes were conducted using R statistical language v. 3.1.2. (http://www.r-project.org).

Statistical analysis

Data are expressed as the mean ± SD. Differences between groups were determined by Student t test. P-values < 0.05 were considered statistically significant (*, P < 0.05; **, P < 0.01; and ***, P < 0.001).

Online supplemental material

Fig. S1 shows development of various lymphocytes in Pten conditional KO (cKO) mice. Fig. S2 shows analysis of Th17 using Th17 specific-CRE expressing naive CD4⁺ T cells or another Th17 polarizing condition in vitro. Fig. S3 shows FOXP3 expression in SF1670-treated induced T reg cells in vitro. Fig. S4 shows analysis of bpv(phen)-treated Th17 cells in vitro. Fig. S5 shows CNS infiltrated cells in SF1670-treated mice and clinical scores for control and SF1670-treated Pten cKO mice in which EAE was induced. Table S1 lists the primers used for qRT-PCR. Dataset S1, include as an Excel file, shows gene expression profiles in WT and Pten cKO induced T reg cells.