Notch ligand Delta-like 4 induces epigenetic regulation of Treg cell differentiation and function in viral infection

Abstract

Notch ligand Delta-like ligand 4 (DLL4) has been shown to regulate CD4 T-cell differentiation, including regulatory T cells (T_reg). Epigenetic alterations, which include histone modifications, are critical in cell differentiation decisions. Recent genome-wide studies demonstrated that T_reg have increased trimethylation on histone H3 at lysine 4 (H3K4me3) around the T_reg master transcription factor, Foxp3 loci. Here we report that DLL4 dynamically increased H3K4 methylation around the Foxp3 locus that was dependent upon upregulated SET and MYDN domain containing protein 3 (SMYD3). DLL4 promoted Smyd3 through the canonical Notch pathway in iT_reg differentiation. DLL4 inhibition during pulmonary respiratory syncytial virus (RSV) infection decreased Smyd3 expression and Foxp3 expression in T_reg leading to increased Il17a. On the other hand, DLL4 supported Il10 expression in vitro and in vivo, which was also partially dependent upon SMYD3. Using genome-wide unbiased mRNA sequencing, novel sets of DLL4- and Smyd3-dependent differentially expressed genes were discovered, including lymphocyte-activation gene 3 (Lag3), a checkpoint inhibitor that has been identified for modulating Th cell activation. Together, our data demonstrate a novel mechanism of DLL4/ Notch-induced Smyd3 epigenetic pathways that maintain regulatory CD4 T cells in viral infections.

INTRODUCTION

Many infectious and chronic inflammatory diseases are characterized by inappropriate or dysregulated CD4 + T-cell immunity with diverse cytokine expression profiles and distinct effector functions. Naive CD4 T cells differentiate into subsets of CD4 T-helper cell (Th) upon T-cell receptor activation, cell-associated co-stimulatory proteins, and cytokine stimulation. Regulatory T cells (T_reg), especially induced Treg (iT_reg), constrain airway allergic inflammation^1–3 and immunopathology upon viral infection, e.g., respiratory syncytial virus (RSV).^4–6 Forkhead box P3 (Foxp3) is the master transcription factor of T_reg and is induced by T cell receptor (TCR) activation in the presence of transforming growth factor (TGF)-β.^7,8 Both Foxp3 + and Foxp3-CD4 give rise to interleukin (IL)-10 secretion to limit immunopathology of airway inflammation such as RSV infection.^9–12 In contrast, T_reg have shown considerable plasticity and can convert to IL-17A-producing cells that exacerbate airway inflammation accompanied by asthma-associated polymorphisms.¹³ Both transcription factors and posttranslational modifications fine-tune the activity of Foxp3 promoter and its conserved non-coding DNA sequence (CNS) 1, 2, 3 to control the expression of Foxp3, as well as the function and stability of T_reg populations.^8,14 However, the molecular basis for Foxp3 regulation in T_reg during pulmonary viral infections have not been fully elucidated.

DNA modifications alter gene expression without changing the bases of DNA sequence to establish epigenetic changes that can alter cell phenotypes. Epigenetic modifications, including histone modifications, DNA methylation, chromatin remodeling, and microRNAs, are indispensable for optimized Th cell differentiation. ^15,16 One of the permissive epigenetic marks histone 3 lysine 4 trimethylation (H3K4me3) is enriched around the activated gene promoters, whereas the suppressive marks H3K27me3 are removed compared with uncommitted naive CD4 T cells.¹⁷ In T_reg, H3K4me3 are mostly enriched around Foxp3 CNS1 and its promoter but not as significantly around CNS2 and CNS3.¹⁴ Another mechanism, DNA methylation on CpG motifs was reported to contribute to Foxp3 instability,^18,19 in part through DNMTs and TETs.^20,21 Histone modification by EZH2 through the removal of H3K27me3 around Foxp3-bound genes stabilizes T_reg identity²² and enhances suppressive function in response to inflammation.²³ Our lab previously identified that SET and MYND domain containing protein 3 (SMYD3), which is a H3K4 di- and trimethyltransferase,²⁴ was induced by transforming growth factor (TGF)-β and promoted iT_reg differentiation to ameliorate immunopathogenesis in the pulmonary viral infection.²⁵ The present studies further extend those earlier findings by identifying a Notch-mediated epigenetic mechanism to regulate T_reg function by inducing SMYD3 and regulating T_reg function.

Notch signaling is well-conserved throughout metazoans and orchestrates T-cell development and differentiation decisions.^26–28 In CD4 T cells, Notch signaling directly initiates Th signature transcription, such as Ifng in Th1,²⁹ Il4 and Gata3 in Th2,³⁰ Il17a and Rorc in Th17,³¹ and Il9 in Th9 differentiation.³² The mechanism of Notch in iT_reg cell differentiation is complex. Notch directly induces T_reg master transcription factor—Foxp3—through RBP-Jκ in iT_reg differentiation,³³ and Delta-like ligand 4 (DLL4)/Notch supported the iT_reg phenotype in vitro and in vivo in airway inflammation.^34,35 In addition, constitutively active Notch1 in already differentiated Foxp3 + T_reg destabilized peripheral T_reg in part through CpG motif methylation on Foxp3 CNS2.³⁶ Thus, Notch activation has a context-dependent activation function in Th cells that appears to be cell and disease specific.

Here we report that Notch signaling through its ligand DLL4 directly regulated Smyd3 expression during early stages of iT_reg differentiation leading to increased H3K4me3 around the Foxp3 locus to stabilize Foxp3 expression. DLL4 inhibition and Smyd3 deletion introduced cytokine dysregulation including increased IL-17A and decreased IL-10 to confer immunopathology upon viral infection. Using genome-wide RNA sequencing (RNA-seq), we further identified T_reg signature genes—including lymphocyte-activation gene 3 (Lag3)—which are regulated by DLL4 and Smyd3. These latter studies also strongly suggest that these same signals have an overall effect on the immune environment by altering both putative Foxp3 + T_reg and Foxp3-T cells. Together, our study reveals a novel pathway of DLL4/Notch activation that epigenetically can control iT_reg differentiation and function through a SMYD3-induced mechanism altering immune environment in pulmonary viral infection.

MATERIALS AND METHODS

Mice

Six- to 8-week-old female C57BL/6J and BALB/cJ mice were purchased from Jackson Laboratory. Six- to 8-week-old female Foxp3^EGFP mice (B6.Cg-Foxp3^tm2(EGFP)Tch/J) were bought from Jackson Laboratory and bred in-house. CD4-specific SMYD3 knockout mice (Smyd3 ^f/f x Cd4-Cre) were generated in-house as described.²⁵ 7~9 week olds CD4-specific dominant-negative MAML1 mice (DNMAML) mice (ROSA26^DNMAMLf × Cd4-Cre) and CD4-specific RBP-Jκ knockout mice (Rbpj ^f/f × Cd4-Cre) were generated as described.^37–39 All mice were housed in the University Laboratory Animal Facility under animal protocols approved by the Animal Use Committee in the University of Michigan.

RSV infection

RSV Line 19 was clinical isolate originally from a sick infant in University of Michigan Health System to mimic human infection.⁴⁰ Mice were anesthetized and infected intratracheally (i.t) with 1 × 10⁵ pfu of Line 19 RSV, as previously described.⁴¹

Histopathology

Left lobe of lung was fixed with 4% formaldehyde and embedded in paraffin, and 4 μm of sections were stained with Periodic acid-Schiff stain to detect mucus.

RNA isolation and quantitative PCR

RNA was extracted with TRIzol (Invitrogen) by following the manufacturer’s protocol, and 500 ng of total RNA were reverse transcribed to cDNA to determine gene expression using TaqMan gene expression primer/probe sets. Muc5ac and Gob5 expression were assessed by custom primers as described.⁴² Dll4 were detected by SYBR as described.⁴³ Dll4 primers: 5′-AGGTGC CACTTCGGTTACACAG-3′ and 5′-CAATCACACACTCGTTCCTCTCTT C-3′. Smyd3 were detected by TaqMan probes (Catalog number 4331182, Applied Biosystems) that expanded the junction of exon 9–10. Detection was performed in ABI 7500 Real-time PCR system. Gene expression was calculated using the ΔΔCt=experimental Ct − input Ct) − (control Ct−input Ct) and normalized with Gapdh as input control.

Murine lung cells isolation

Mice lungs were chopped. Lung and mediastinal lymph node (mLN) were enzymatically digested using 1 mg/mL Collagenase A (Roche) and 25 U/mL DNaseI (Sigma-Aldrich) in RPMI 1640 with 10% fetal calf serum for 45 min at 37 °C. Tissue were further dispersed through 18 gauge needle/5 mL syringe and filtered through 100 μm nylon mesh twice.

Cytokine production assay

Cells (5 × 10⁵) from mLN cells were plated in 96-well plates and re-stimulated with 10⁵ pfu RSV Line 19 for 48 h. IL-17A and IL-10 levels in supernatant were measured with Bio-plex^™ cytokine assay (Bio-Rad).

Extracellular and intracellular flow cytometry analysis

Single-cell suspension of lung and lymph node were stimulated with 100 ng/mL Phorbol-12-myristate 13-acetate, 750 ng/mL Ionomycin, 0.5 μL/mL GolgiStop (BD), and 0.5 μL/mL GolgiPlug (BD) for 5 h if mentioned. After excluding dead cells with LIVE/ DEAD Fixable Yellow stain (Invitrogen), cells were pre-incubated with anti-FcγR III/II (Biolegend) for 15 min and labeled with the following antibody from Biolegend, unless otherwise specified: anti-CD3 (145-2C11), CD4 (GK1.5), CD8α (53-6.7), CD25 (PC61). After 30 min of incubation at 4 °C, cells were washed and proceed to intracellular staining. For intracellular staining, cells were fixed and permeabilized with Transcription factors staining buffer set (eBioscience). Cells were labeled with directly conjugated antibody from eBioscience: Foxp3 (FJK-16s) for 30 min at room temperature. Flow cytometry data were acquired from LSRII (BD) or Novocyte (ACEA) flow cytometer and were analyzed with FlowJo software (TreeStar).

For intracellular H3K4me3 staining, single-cell suspension were fixed and permeabilized with Transcription factors staining buffer set (eBioscience) overnight at 4 °C to have optimal permeabilization into nucleus. After three washes, sample were labeled with primary antibody anti-H3K4me3 (Millipore #07-473) in 1:200 dilution for 30 min at room temperature and secondary antibody antigen presenting cell (APC) or fluorescein isothiocyanate-antirabbit antibody for 20 min at room temperature.

Naïve CD4 T-cell isolation and stimulation

CD4⁺ CD25⁻CD62L^hiCD44^lo naive T cells were enriched from spleen using the naive CD4 T cells isolation kit (Miltenyi Biotec) with more than 92% purity. Naive T cells were then plated and cultured in 24-well plates. Naive T cells (10⁶/0.5 mL) were stimulated with plate-bound anti-CD3 (2.5 μg/mL; eBioscience), soluble anti-CD28 (3 μg/mL; eBioscience), and plate-bound recombinant DLL4 (1.65 μg/mL, R&D). In addition, recombinant cytokines and neutralizing antibodies were added to skew toward different Th cells in vitro. For Th1: mouse IL-12 (10 ng/mL), anti-IL-4 neutralizing antibody (10 μg/mL; eBioscience); for Th2: mouse IL-4 (10 ng/mL; R&D System), anti-IFNγ neutralizing antibody (10 μg/mL; eBioscience), anti-IL-12/23 p40 neutralizing antibody (10 μg/mL); for Th17 cells: mouse IL-6 (10 ng/mL; R&D System), human TGF-β1 (2 ng/mL; R&D System), anti-IFNγ neutralizing antibody (10 μg/mL; eBioscience), anti-IL-4 neutralizing antibody (10 μg/mL; eBioscience), and anti-IL-12/23 p40 neutralizing antibody (10 μg/mL; eBioscience) were added; for IL-27-inducing T_R1, mouse IL-27 (20 ng/mL, R&D) were added; to skew toward in vitro-iT_reg cells (iT_reg), human TGFβ1 (2 ng/mL; R&D System) and mouse IL-2 (10 ng/mL; R&D System) were added at the same time.

Chromatin immunoprecipitation

Chromatin immunoprecipitation (ChIP) was performed based on the manufacturer’s instruction (Upstate Biotechnology) as described.⁴⁴ In brief, more than 2 × 10⁶ stimulated T cells were cross-linked with 1% paraformaldehyde for 10 min in room temperature. After stop cross-linking with 125 mM glycine, cells were steep frozen. After lysing cell pellet in 200 μL SDS lysis buffer, the resulting lysate were sonicated a Branson Sonifier 450 (VWR, West Chester) under the following condition: 3 times for periods of 11 s each. After centrifuging, the supernatant was diluted and 5% were saved as Input control. Other diluted supernatant underwent immunoprecipitation under 4 °C overnight with the following antibodies: IgG control (Millipore), anti-H3K4me (Milllipore #07-436), anti-H3K4me3 (Millipore #07-473 for Fig. 1; Abcam #ab8580 for Fig. 3), and anti-RBP-Jκ (Abcam, #ab25949). After pulling down precipitated complex by protein A beads, cross-linking was reversed by high salt in 5 h under 65 °C. DNA was purified by standard phenol/chloroform and ethanol precipitation and was subjected to real-time PCR. ChIP-specific enrichment was calculated using the ΔCt method as 2^{−(experimental Ct−input Ct)}

Fig. 1.

DLL4-enriched permissive histone mark H3K4me3 around Foxp3 promoter and consensus non-coding sequences during iTreg differentiation. a 2 × 10⁶ of naive CD4 T cells were skewed toward Th0 or iT_reg differentiation with or without DLL4 stimulation in vitro. Chromatin immunoprecipitation were performed to detect H3K4me3 around Foxp3 promoter, consensus non-coding sequence (CNS)1, CNS2, CNS3 after 72 h. b Changes of H3K4me and H3K4me3 by DLL4 stimulation during iT_reg differentiation was detected at 48 h of skewing. c H3K4me3 kinetics at Foxp3 CNS1 after 6 h, 24 h, 48 h and 72 h post iT_reg differentiation were measured with or without DLL4 stimulation in vitro. Data represent mean ± SEM. Data were from one experiment representative of two to three experiments. * P < 0.05; ** P < 0.005; *** P < 0.0005; NS, no significance (unpaired two-tailed t-test)

Fig. 3.

Smyd3 regulated DLL4-enhanced iT_reg differentiation and function in vitro. a Naive CD4 T cells (10⁶) from wild-type B6 spleen were activated (Th0) or differentiated to Th1, Th2, Th17, Th9, iT_reg, and IL-27 T_R1. After 72 h, SMYD3 were blotted. b Naive CD4 T cells (10⁶) from Cre− control or Cre + CD4-specific SMYD3 conditional knockout (cKO) were differentiated to iT_reg. After 72 h, SMYD3 level were quantified by western blotting. c Smyd3 mRNA level were measure in iT_reg and DLL4-stimulated iT_reg differentiation at 24, 48, and 72 h from Cre− control and Cre + Smyd3 cKO. d Naive CD4 T cells (2 × 10⁶) from Cre− control with or without DLL4 stimulation or Cre + CD4-specific SMYD3 were differentiated to iT_reg. After 72 h, H3K4me3 were precipitated, and Foxp3 promoter and CNS1, 2, 3 were qPCR quantified compared with input control. e Naive CD4 T cells (10⁶) from Cre− control or Cre + SMYD3 cKO were activated (Th0) or differentiated to iT_reg with or without DLL4. After 72 h of differentiation, Foxp3 and CD25 were labeled and quantified by flow cytometry. f Naive CD4 T cells (10⁶) from Cre− control or Cre + SMYD3 cKO were activated (Th0) or differentiated to iT_reg with or without DLL4. After 72 h of differentiation, both Th0 and iT_reg were rested in IL-2 10 ng/mL for another 72 h. Foxp3 were detected and quantified by flow cytometry. g After 6 days of iT_reg differentiation with DLL4 as described in f, viable DLL4-exposed iT_reg were sorted out as DAPI⁻CD25+ and co-cultured with Cell Trace violet (CTV) labeled CD45.1+ naive T cells with anti-CD3/anti-CD28 beads. After 3 days in co-culture, proliferation was assessed by CTV dilution in CD45.1 + responder cells. Data represent mean ± SEM. Data were from one experiment representative of two to three experiments. *P < 0.05; **P < 0.005; *** P < 0.0005; NS, no significance (unpaired two-tailed t-test)

Smyd3 primers P0: 5′-GCCATCAAGGTCCTGGTGAA-3′ and 5′-CTTAGGCTTCGGTTGGCAGA-3′; Smyd3 primers P2: 5′-ACAGGG CTTCTCTGTTGTATAGC-3′ and 5′-GAGTTTAAAGCCAGCGTGGT-3′.

Foxp3 promoter and CNS1, 2, 3 primers were designed as described.¹⁴

Immunoblot analysis

Total cells lysates were prepared using 1 × Cell Lysis Buffer (Cell Signaling). Same amount of 3~10 μg of total proteins were separated by Nu-PAGE (Invitrogen) and transferred on nitrocellulose membrane. The primary Ab anti-SMYD3 (Abcam, ab16027 for Fig. 3a, b, ab187149 for Fig. 2g) and anti-β-actin (Sigma-Aldrich) were diluted in 5% bovine serum albumin in 1 × TBST with 1:1000 and 1:5000, respectively.

Fig. 2.

DLL4/Notch upregulated SET and MYND domain containing protein 3 (Smyd3). a The expression of 87 epigenetic enzymes in epigenetic PCR array (SA Bioscience, PAMM-085) were measured in DLL4-stimulated iTreg compared to Th0 after 48 h of skewing. Fold changes were indicated with a heatmap. The following genes were either up or downregulated more than twofold: Dnmt1 (A11), Hdac9 (C7), Nek6 (E2), Smyd3 (G4), Ube2a (G7), Usp21 (G11). b All the methyltransferases in the PCR array were presented. The arrow indicated Smyd3 as the most-expressed methyltransferase in vitro. c Smyd3 expression level were measured after 24 h of Th0 and iT_reg differentiation with or without DLL4 activation in vitro. d Kinetics of Smyd3 expression during Th0 and iT_reg differentiation with or without DLL4 activation at 24, 48, 72 h. e Naive CD4 T cells were isolated from wild-type B6 or CD4-specific Dominant-negative MAML1 (DNMAML) mice. Smyd3 were measured after 48 h of iT_reg differentiation + DLL4 stimulation in vitro. f Naive CD4 T cells were isolated from CD4-specific Rbpj knockout mice (Rbpj cKO) or Wild-type unfloxed littermate control (wt). Activated (Th0) or iT_reg differentiation with or without DLL4 were performed. After 48 h, CD4 T cells were harvest and Smyd3 were measured. g SMYD3 expression was blotted after 72 h of iT_reg differentiation in wt and Rbpj cKO. The relative SMYD3 level in Rbpj cKO versus wt were quantified by densitometry software (ImageJ) and normalized with internal control—β-actin. This was repeated in 3 different experiments with similar results. h Naive CD4 T cells (2X10⁶) were isolated from wild-type B6 mice. After iT_reg differentiation with or without DLL4 stimulation for 6 h, RBP-Jκ were precipitated and RBP-Jκ-bound DNA sequence were PCR with Smyd3 primer P0 and P2. Data represent mean ± SEM. Data were from one experiment representative of two to three experiments. PCR array is one-time experiment. * P < 0.05; ** P < 0.005; *** P < 0.0005; NS, no significance (unpaired two-tailed t-test)

Cell sorting and in vitro suppression assay

Single-cell sorting was performed on FACSAria II (BD). DAPI⁻ CD4⁺ Foxp3-EGFP⁺ or DAPI-CD4 + Foxp3-EGFP⁻ from mLN were sorted with more than 93% efficiency and the sorted cells were directly collected in TRIzol for mRNA; for in vitro suppression assay, DAPI⁻CD4 ⁺ CD25 ⁺ viable iT_reg were sorted. Suppression assay was performed as described with small modification.⁴⁵ In brief, naive T cells isolated from CD45.1 mice were labeled with Cell Trace Violet (CTV) (Invitrogen). Labeled CD45.1 + naive T cells (2.5 × 10⁴) were co-cultured with same number of iT_reg in 96-well round-bottom plate. Dynabeads^® mouse T activator CD3/CD28 (0.625 μL; Invitrogen) were added to 0.2 mL of culture. After 72 h, cells were collected and CD45.1⁺ responder cell proliferation were accessed by CTV dilution.

RNA-seq sample preparation and data analysis

Naive CD4 T cells were enriched as described above from three female Cre-control and three Cre + Smyd3 conditional knockout mice. After 48 h of iTreg differentiation, total RNA was extracted and cleaned up with QIAGEN RNeasy kit. Total RNA (100 ng) isolated from each biological replicate was subjected to poly-A selection, followed by next-generation sequencing library preparation using TruSeq RNA library prep kit (Illumina). The libraries were sequenced on HiSeq4000 platform by single-end, 50 nt method with around 30 million reads per sample. The library prep and sequencing were performed by DNA sequencing core in the University of Michigan Medical School.

After trimming with Trimmomatic and FastQC to generate the best reads quality in every sample, reads were aligned to reference genome GRCm38 using HISAT2⁴⁶ and counted the reads using HTSeq-count.⁴⁷ Finally, DESeq2 was implemented to normalize the reads and to perform differential analysis with likelihood ratio test.⁴⁸ Principle component analysis (PCA) was performed in DESeq2. Venn diagram, volcano plot, and heatmap were drawn in R. Gene Ontology were annotated using DAVID functional annotation and treemap were drawn with REVIGO.⁴⁹

Statistical analysis

Data were analyzed by Prism6 (GraphPad). Data presented are mean values ± SEM. Comparison of two groups was performed in unpaired, two-tailed, Student’s t-test. Comparison of three or more groups was analyzed by analysis of variance with Tukey’s post tests. Significance was indicated at the level of *p < 0.05, **p < 0.005, ***p < 0.0005.

RESULTS

Notch ligand DLL4 promotes gene activation and histone modification around Foxp3 during iT_reg differentiation in vitro

DLL4/Notch activation through the canonical Notch signaling pathway enhances T_reg differentiation by stimulating Foxp3 gene expression.^33,34 H3K4me3 is a permissive histone mark that represents gene activation and is enriched around Foxp3 locus in Foxp3 + T_reg.^50,51 Here we hypothesized that DLL4 may enrich H3K4me3 around the Foxp3 gene to enhance iT_reg differentiation. Using ChIP analysis, the data showed that DLL4 stimulation drove the enhancement of H3K4me3 around the Foxp3 promoter as well as functional conserved non-coding sequence 1 (CNS1), CNS2, and CNS3 at 72 h, specifically in iT_reg but not during Th0 activation (Fig. 1a). To characterize the level of H3K4 mono-methylation (H3K4me) and H3K4me3 in the Foxp3 promoter and enhancers during early iT_reg differentiation, we immunoprecipitated both H3K4me and H3K4me3 at 48 h of iT_reg differentiation. DLL4 decreased H3K4me, while it increased H3K4me3 around the Foxp3 promoter, as well as CNS1, 2, and 3 (Fig. 1b). Foxp3 induction in the presence of TGF-β-Smad3 is dependent on CNS1,^3,7,8 allowing us to focus on the dynamics of H3K4me3 on Foxp3 CNS1. DLL4 stimulation increased H3K4me3 at 48 and 72 h post differentiation at the CNS1 enhancer (Fig. 1c). These data suggested that Notch ligand DLL4 activation changed the H3K4me3 around Foxp3 promoter and its functional enhancer during iT_reg differentiation.

DLL4 and Notch signaling regulated SMYD3 during iT_reg differentiation

The addition of methyl groups on H3K4 is mediated by histone lysine methyltransferases.⁵² Therefore, we hypothesized that DLL4 would regulate an epigenetic enzyme to catalyze H3K4me3 around the Foxp3 locus during iT_reg differentiation. To examine epigenetic enzyme expression in iT_reg, an epigenetic enzyme PCR array was used to compare the DLL4-stimulated gene profile in iT_reg differentiation at 48 h. The array analysis indicated that Smyd3 was the most upregulated candidate in the iT_reg + DLL4 activation (Fig. 2a). It was also the most highly upregulated methyltransferase when examining all methyltransferases in the array (Fig. 2b). Smyd3 expression was significantly increased by DLL4 stimulation in iT_reg cells but not in Th0 as determined by reverse-transcription PCR (Fig. 2c). In the time-course study, DLL4 significantly increased Smyd3 expression during early iT_reg differentiation (at 24 and 48 h) compared with iTreg without DLL4 and not in Th0 stimulation (Fig. 2d). To further investigate whether DLL4-upregulated Smyd3 expression is Notch-dependent, we used CD4-specific Rbpj knockout mice and CD4-specific DNMAML that deleted canonical Notch transcription factor and inactivated intracellular Notch signaling activation, respectively. The expression of Smyd3 was significantly decreased in Rbpj^−/− CD4 T cells and DNMAML expressing CD4 T cells during DLL4-stimulated iT_reg differentiation (Fig. 2e, f), and CD4 T cells from Rbpj knockout expressed less SMYD3 (Fig. 2g). These data suggest that both Smyd3 and SMYD3 are dependent on canonical Notch activation. To investigate whether Smyd3 is a potential target gene of canonical Notch signaling, we examined the Smyd3 promoter and found 5′-TGGGAA-3′ RBP-Jκ consensus binding sites^31,53 upstream of the Smyd3 transcription start site using in silico analysis (Fig. 2h). We performed a promoter walk and representative primer sets where P0 and P2 showed that RBP-Jκ directly bound to the Smyd3 promoter with DLL4 stimulation further enriching RBP-Jκ binding at 6 h of early iT_reg differentiation (Fig. 2h). Together, these data demonstrated that DLL4 and intracellular Notch signaling facilitated increased and accelerated Smyd3 expression during iT_reg differentiation.

DLL4-facilitated Foxp3 expression was SMYD3 dependent

SMYD3 is enriched in TGF-β-induced iT_reg differentiation.²⁵ In addition, both iT_reg and Th9 (TGF-β + IL-4) had enriched SMYD3 protein levels, but it was at a much lower level in naïve CD4, Th0, Th1, Th2, Th17, and IL-27 stimulation in vitro (Fig. 3a). Importantly, SMYD3 protein expression was negligible in iT_reg cells from Cre + CD4-specific Smyd3 knockout (Smyd3 cKO) mice (Fig. 3b). As DLL4 upregulates Foxp3 expression during iT_reg differentiation and DLL4/Notch further upregulated Smyd3, we hypothesized that DLL4 and Smyd3 cooperatively upregulated Foxp3. The data showed that DLL4 facilitated Foxp3 expression in Cre-littermate control, whereas deletion of Smyd3 decreased Foxp3 expression in the presence of DLL4 at 48 h during iT_reg differentiation (Fig. 3c). Consistent with Fig. 1, DLL4 stimulation upregulated H3K4me3 around Foxp3 promoter as well as CNS1, 2, and 3 in Cre− control, whereas DLL4 did not increase H3K4me3 in Cre + Smyd3 cKO CD4 T cells (Fig. 3d). These data suggested that Smyd3 mediated DLL4-enriched H3K4me3 around Foxp3 regulatory elements, the promoter, CNS1 and CNS2. Finally, Smyd3 was shown help facilitate DLL4-induced iT_reg differentiation and maintenance by flow cytometric analysis. Foxp3 + iT_reg numbers were significantly decreased in Smyd3 cKO at 3 days post iT_reg differentiation (Fig. 3e) and continued to be impaired after 6 days (Fig. 3f). These results revealed that Smyd3 promoted iT_reg differentiation in vitro. To further specify the role Smyd3 in iT_reg function, we performed a suppression assay. DLL4-treated Cre− control and Cre + Smyd3 cKO iT_reg were sorted and cultured with CD45.1 responder cells in 1 to 1 ratio for 72 h, and the anti-CD3 + anti-CD28-stimulated responder cells proliferation were monitored by CTV dilution. T_responder proliferation were indeed suppressed in the presence of iT_reg. Importantly, T_responder were more proliferative (more CTV dilution) when co-cultured with Cre + Smyd3 KO iT_reg than control iT_reg, suggesting that Smyd3 supported iT_reg function in vitro (Fig. 3g). Thus, DLL4 appears to support Foxp3 expression in part through SMYD3 leading to histone modification and expression of Foxp3.

DLL4 blockade decreased Smyd3 and enriched Il17a expression in Foxp3 + T_reg during RSV infection

Previous studies have demonstrated that dendritic cell expressed DLL4-induced peripheral T_reg modulated immunopathology of RSV infection.³⁴ To further investigate whether DLL4 regulated Smyd3 expression in peripheral T_reg during mucosal inflammation in vivo, we utilized our RSV infection mouse model that triggers type 2 and Th17 inflammation^54–57 with pathology controlled by T_reg cells.^4–6 The studies first confirmed that RSV infection increased Dll4 expression at 6 days post infection (6 dpi) and DLL4 inhibition by specific antibodies increased mucus production as described (Fig. 4b).³⁴ Smyd3 was also significantly decreased by DLL4 inhibition in mLN (Fig. 4c), suggesting that DLL4 regulated Smyd3 expression in vivo. However, global H3K4me3 modification in CD4 T cells, especially Foxp⁻ conventional CD4 were not significantly altered by DLL4 neutralization, whereas the Foxp3+ populations were reduced (Supplementary Figure 1A,B). To further examine the role of DLL4 on CD4 T_reg cells, Foxp3^EGFP knock-in mice were i.t. infected with RSV and treated with neutralizing anti-DLL4 antibody. At 6 dpi, viable CD4⁺Foxp3^EGFP−/+cells from mLN were sorted. DLL4 neutralization decreased Smyd3 expression (Fig. 4d) and Foxp3 expression in GFP + (Foxp3 + ) CD4 T cells (Fig. 4e). Furthermore, DLL4 inhibition increased Il5 expression in GFP − but not GFP + (Fig. 4f), whereas DLL4 inhibition differentially affected Ifng expression in GFP − vs. GFP + (Fig. 4g). We further investigated IL-17A that exacerbates RSV immunopathology. ⁵⁶ Il17a was increased in Foxp3-GFP + but not GFP − CD4 T cells (Fig. 4h). IL-10 from CD4 + T cells were reported to regulate RSV immunopathology^5,11 and in these studies the data showed that DLL4 neutralization decreased Il10 mRNA expression in Foxp3^EGFP− CD4 (Fig. 4i) and total IL-10 protein production in draining lymph node (Fig. 4j). These data suggest that DLL4 supports Smyd3 expression to regulate Th17-like T_reg plasticity, with an additional effect on IL-10 in CD4 T cells in vivo during RSV infection.

Fig. 4.

DLL4 inhibition changed Th cytokine profile in vivo during RSV infection. a Wild-type Balb/c mice were intratracheally infected with Line 19 RSV. DLL4 expression were measured at 6 days post infection (dpi). N = 4 in each group. b DLL4 were neutralized at 0, 2, 4, 6 dpi. Periodic acid-Schiff (PAS) staining of formalin-fixed lung section from 8 dpi. Bar, 200 μm. ↑ indicates the detection of mucin, and designates mononuclear cells aggregates. c Smyd3 expression in mediastinal lymph node (mLN) were measured at 6 dpi after DLL4 inhibition. N = 10 in each group. d Foxp3-EGFP knock-in mice were intratracheally infected with RSV. DLL4 were neutralized at 0, 2, 4 dpi. mLN cells were collected. Viable CD4 + Foxp3-EGFP+/− cells were sorted from mLN and Smyd3 expression were measured. N = 3 in each group. e Viable CD4 + Foxp3-EGFP+/− cells were sorted from mLN. Foxp3 mRNA were measured. N = 3 in each group. f Il5 mRNA in both Foxp3-EGFP− and Foxp3-EGFP+ were measured. g Ifng mRNA in both Foxp3-EGFP− and Foxp3-EGFP+ were measured. h Foxp3-EGFP knock-in mice were intratracheally infected with RSV. DLL4 were neutralized at 0, 2, 4, 6 dpi. mLN cells were collected at 8 dpi. Viable CD4 + Foxp3-EGFP+/− cells were sorted from mLN, and Il17a expression in both Foxp3-EGFP− and Foxp3-EGFP+ were measured. i Il10 expression in both Foxp3-EGFP− and Foxp3-EGFP+ viable CD4 T cells in mLN were measured at 8 dpi. j IL-10 production by control IgG or anti-DLL4-treated mLN cells were harvest at 8 dpi and measured after 48 h of RSV re-stimulation. Data represent mean ± SEM. Data were from one experiment representative of two experiments with 3~10 mice per time point, with samples from each mouse processed and analyzed separately. * P < 0.05; ** P < 0.005; *** P < 0.0005; NS, no significance (unpaired two-tailed t-test)

Smyd3 impeded RSV lung immunopathology, regulated T_reg and cytokine productions in CD4 T cells

To examine the relative contribution of Smyd3 in lymphoid vs. non-lymphoid tissue, Smyd3 expression was measured in the thymus, spleen, and lung. Here, the data showed that Smyd3 was more highly expressed in the lung than either primary or secondary lymphoid organs (Fig. 5a) and RSV infection further upregulated Smyd3 in the lung (Fig. 5b). Next, we investigated Smyd3 function in CD4 T cells during RSV infection. Using CD4-specific Smyd3 knockout mice (Smyd3 cKO), more mucus staining and globlet cell hyperplasia in lung was observed, indicating more severe immunopathology in Smyd3 cKO at 8 dpi (Fig. 5d), whereas the viral clearance was maintained in Cre + knockout post RSV infection (Fig. 5c). Smyd3 cKO had decreased CD25 + Foxp3 + T_reg (Fig. 5e) as previously described,²⁵ with T_reg functional markers such as CTLA-4, OX40, and ICOS that were not changed between Cre− control and Cre + Smyd3 cKO at both 6 dpi and 8 dpi (data not shown). Deletion of Smyd3 conferred the lower expression level of global H3K4me3 modification in CD4 in draining lymph nodes at 6 dpi post RSV infection (Supplementary Figure 1C). Moreover, deletion of Smyd3 led to increased IL-17A in mLN after RSV re-stimulation (Fig. 5f), while IFNγ was unchanged with type 2 cytokine IL-5 was increased in Smyd3 cKO (Fig. 5g, h). Both Foxp3 ⁺ T_reg and Foxp3⁻IL-10-producing T_R1 have been shown to be suppressive in RSV infection.^5,6,11 Smyd3 cKO mice secreted less anti-inflammatory cytokine IL-10 in re-stimulated mLN at 8 dpi (Fig. 5j). These data suggested that Smyd3 in CD4 T cells supported a regulatory phenotype with changes in key cytokines to regulate RSV-induced immunopathology.

Fig. 5.

Smyd3 deletion in T cells exacerbated RSV immunopathology and CD4 T cells cytokine production in vivo during RSV infection. a Smyd3 expression in primary lymphoid organ: thymus, secondary lymphoid organ: spleen, and non-lymphoid tissue: lung from uninfected wild-type B6 mice were measured. N= 4. b Smyd3 expression in uninfected naive mice and i.t. RSV infected mice in lung at 4 dpi and 6 dpi were measured. N = 4. c CD4-specific Smyd3 knockout (Cre + Smyd3 cKO) and Cre− littermate control were intratracheally infected with RSV. The residual quantity of RSV surface glycoprotein (RSV-G) expression in lung were measured at 6 dpi and 8 dpi. N = 5~6. d Periodic acid-Schiff (PAS) staining of formalin-fixed lung section from 8 dpi. Bar, 100 μm. ↑ indicates the detection of mucin. N = 5~6. e Percent of viable CD25 + Foxp3 + T_reg in lung were gated and quantified at 8 dpi. f mLN cells were harvest at 8 dpi and re-stimulated with RSV for 48 h. IL-17A in the supernatant were measured. g mLN cells were collected at 8 dpi and re-stimulated with RSV for 48 h. IFN-γ in the supernatant were measured. h mLN cells were harvest at 8 dpi and re-stimulated with RSV for 48 h. IL-5 in the supernatant were measured. i mLN cells were harvest at 8 dpi and re-stimulated with RSV for 48 h. IL-10 in the supernatant were measured. Data represent mean ± SEM. Data were from one experiment representative of two experiments with four to six mice per group, with samples from each mouse processed and analyzed separately. *P < 0.05; **P < 0.005; ***P < 0.0005; ND, not-detectable; NS, no significance (unpaired two-tailed t-test)

Notch and Smyd3 promote Il10 and inhibit Il17a in vitro during iT_reg differentiation

To better understand if DLL4 and intracellular Notch regulated IL-10 and IL-17A in iT_reg, naive CD4 T cells from wild-type B6 mice were skewed toward iT_reg. DLL4 stimulation enhanced Il10 expression and inhibited Il17a at 24 h post iT_reg differentiation, but the changes were reversed using a pan-Notch inhibitor of gamma-secretase (Fig. 6a, b). More specifically, naive CD4 T cells from Notch-inactivated DNMAML and canonical Notch-deleted Rbpj cKO mice secreted less IL-10 in the presence of DLL4 (Fig. 6c) and more IL-17A (Fig. 6d). To further understand whether DLL4 regulated Il10 and Il17a expression in a Smyd3-dependent manner, naive CD4 T cells from Cre + Smyd3 cKO and Cre-littermate control were activated in iT_reg skewing conditions. DLL4-upregulated Il10 expression was partially Smyd3-dependent (Fig. 6e) with increased Il17a expression in primary iT_reg differentiation in the absence of SMYD3 (Fig. 6f). Finally, we determined whether the presence of SMYD3 regulated the IL-17A associated plasticity from iT_reg. After resting, DLL4-activated iT_reg cultures were re-stimulated under Th17 skewing conditions. DLL4-exposed Smyd3 cKO secreted more IL-17A than Cre-control upon Th17 skewing and re-stimulation (Fig. 6g). These data indicate that DLL4 and Smyd3 cooperatively promote Il10 and inhibited Il17a.

Fig. 6.

Intracellular Notch and Smyd3 in CD4 T cells supported IL-10 production and inhibited IL-17A production in vitro. a Naive CD4 T cells were isolated and incubated with DMSO or 1 μm of gamma-secretase inhibitor (gsi) and proceed to Th0 or iTreg differentiation with or without DLL4 for 24 h. Il10 mRNA was detected. b After same procedure mentioned above, Il17a mRNA were detected. c Naive CD4 T cells from DNMAML mice and Rbpj cKO were activated with DLL4 for 48 h. IL-10 production in supernatant were measured. d Naive CD4 T cells from DNMAML mice and Rbpj cKO were differentiated to iTreg with DLL4 for 48 h. IL-17A production in supernatant were measured. e Naive CD4 T cells from Cre− control or Smyd3 cKO were differentiated to iTreg with or without DLL4 for 48 h. Il10 expression were detected. f After same procedure mentioned above, Il17a mRNA were detected. g Naive CD4 T cells from Cre-control or Cre + Smyd3 cKO were differentiated to iTreg with DLL4 stimulation for 72 h then rested in IL-2 10 ng/mL for another 72 h. Viable rested iTreg (5 × 10⁵) were re-stimulated with Th17 skewing condition for 72 h. IL-17A in Th17 re-stimulation culture were measured. Data represent mean ± SEM. Data were from one experiment representative of two to three experiments. *P < 0.05; **P < 0.005; ***P < 0.0005; NS, no significance (unpaired two-tailed t-test)

DLL4 and Smyd3 regulated gene expression profile in iT_reg differentiation

In the above studies we identified that DLL4 increased T_reg differentiation as well as promoted maintenance of the T_reg phenotype in cooperation with a Smyd3 mechanism. Thus, although some of the T_reg characteristics were enhanced by DLL4/Notch through a Smyd3-dependent mechanism, others were not. Therefore, we hypothesized that DLL4 and Smyd3 could differentially regulate additional genes during iT_reg differentiation. To discover novel genes that are regulated by DLL4- and/or Smyd3-dependent pathways, we performed whole genome RNA-seq in iTreg differentiation (48 h after skewing). To distinguish the discrepancy between groups, PCA was performed in DESeq2. DLL4 stimulation introduced substantial variance (76%) in gene expression profile in wild-type mice and Smyd3 deletion changed the global gene expression on its own but was especially dramatic in the presence of DLL4 (Fig. 7a). These results demonstrated the interdependence on DLL4 and Smyd3. Next, we investigated what genes were differentially expressed by DLL4 stimulation using a likelihood ratio test in DESeq2. Some of the significantly upregulated (dots in red) or downregulated (dots in blue) differentially expressed genes (DEGs) were labeled in black text (Fig. 7b). Smyd3 was significantly upregulated by DLL4 along with a number of reported T_reg functional genes, e.g., Ctla4, Gzmb, and Ox40 (Fig. 7b). Furthermore, Notch-related genes (Deltex1 (Dtx1), Notch3, and Jag2) and anti-inflammatory cytokine Il10 were also upregulated by DLL4 (Dtx1: 2.43 fold; Notch3: 1.98 fold; Jag2: 2.77 fold; and Il10: 1.42 fold) (Fig. 7b). Data also identified DEGs that were significantly upregulated (adjusted p-value < 0.05 and absolute fold change more than 2-fold) between wild-type iT_reg+Dll4 and control iT_reg. These differences were examined by comparing overlapping T_reg signature genes⁵⁸ and Foxp3-dependent genes.⁵⁹ A Venn diagram illustrated the number of genes that were DLL4-stimulated DEGs, T_reg signature genes, Foxp3-dependent genes, and the number of genes that were in two or even all three groups. Results indicate that only 5.3% of DLL4-stimulated DEGs were also T_reg signature genes and 3.3 % of these DEGs were Foxp3-dependent (Fig. 7c). These results indicated that the majority of the DLL4-stimulated DEGs were neither T_reg signatures nor Foxp3-dependent, and DLL4 stimulation introduced novel DEGs that may have a previously undefined role for T_reg. To get a more informed understanding of the molecular function of DLL4 DEGs, we performed Gene Ontology (GO) analysis of the 781 DLL4 DEGs and plotted a treemap. The most significant GO term was cytokine activity with the highly significant p-value of 1.8 × 10⁻⁸. The p-value of each GO term was shown inversely to the area in treemap (Fig. 7d). Together, these data revealed that DLL4 not only regulated reported T_reg signatures and Foxp3-dependent genes but also broadly impacted cytokine responses during differentiation. To further identify specific DEGs that were both regulated by DLL4 stimulation and Smyd3, we normalized the counts and did unsupervised cluster analysis with Pearson’s distribution of a heatmap showing the Z-score of DEGs. There were 95 DEGs that were significantly (p_adj < 0.05) regulated with a fold change more than 2 (log2FC > 1) in DLL4 stimulation and downregulated more than 1.51-fold (log2FC < − 0.6) in Smyd3 knockout (Fig. 7e). Heatmap analysis then clustered with rowMeans identified the top DEGs (Fig. 7e). Using this analysis, two T_reg signature genes, Tgm2 and Lag3, were highly upregulated by DLL4 stimulation and downregulated in Smyd3 knockout (Fig. 7e). Interestingly, Notch target gene Dtx1 was also decreased in Smyd3-deficient Treg differentiation. We further confirmed that DLL4-upregulated Lag3 was canonical Notch-dependent using T cells from Rbpj cKO mice (Fig. 7f) and was also Smyd3-dependent (Fig. 7g) by quantitative PCR. These data uncovered a new set of DEGs, including a checkpoint inhibitory protein, Lag3, which were regulated by DLL4 and Smyd3 in iT_reg differentiation. These results will help us further identify mechanisms that stabilize iT_reg differentiation and function in future studies.

Fig. 7.

Smyd3 deletion changed gene expression profile in the presence of DLL4 stimulation during iT_reg differentiation in vitro. a Principle component analysis of RNA-seq data sets of iT_reg cells from Cre− control or Cre + Smyd3 cKO with or without DLL4 stimulation, assessed using the top 500 genes with the highest variance. Each symbol represented a single mouse. Each group have three biological triplicates. b Volcano plot showed the differentially expressed genes (DEGs) in control iT_reg + DLL4 over control iT_reg; red dots indicated genes that were significantly (BH-adjusted p-value < 0.05) upregulated by DLL4 more than twofold (log2FoldChange > 1) and blue dots represents genes that were significantly downregulated by DLL4 more than twofold. The y axis represented the significance of the differential analysis. c Venn diagram demonstrated the overlap between current DLL4-regulated DEGs and published T_reg signatures and Foxp3-dependent genes. d Gene Ontology (GO) of un-overlapped DLL4-regulated DEGs (781 genes). Treemap showed the significant GO term with False-discovery-rate (FDR)-adjusted global P-value < 0.05. P-value inversely proportional to area for each GO term. e Normalized expression of all the DEGs that were significantly upregulated by DLL4 stimulation for more than 2.00-fold, and downregulated more than 1.51-fold by Smyd3 deletion. Heatmap presented Z-score in a dendrogram clustered by Pearson’s distribution and ranked based on rowMeans. Top 20 DEGs and Deltex1 were indicated. f Naive CD4 T cells from wild-type control or Rbpj cKO were differentiated to iT_reg with or without DLL4 for 24 h. Lag3 expression were detected. g Naive CD4 T cells from Cre− control or Smyd3 cKO were differentiated to iT_reg with or without DLL4 for 48 h. Lag3 expression were detected

DISCUSSION

Infection and inflammation-experienced T_reg cells acquired changes in chromatin modifications correlated with gene expression profiles⁶⁰. Chromatin modifications contribute to long-term responses of T_reg cell differentiation, subset specification, and cytokine-producing potential, such as histone 3 lysine 4 methylation and its methyltransferase.⁶¹ Previous studies have importantly demonstrated that methylation of DNA can regulate Foxp3 expression and Treg cell differentiation and stability coordinated with chromatin modifications.^{17,21,22,36,50} Our labs and others have previously identified that Notch ligand DLL4 was induced during pulmonary infection and inflammation to enhance T_reg differentiation. ^34,35 Here we report one specific methyltransferase, SMYD3, ^24,62 which was directly regulated by DLL4/Notch. The present study demonstrates several novel findings and concepts: (1) Epigenetic enzymes are a part of the mechanism by which RSV infection could modify CD4 T cells lineage specification, including T_reg differentiation; (2) DLL4/Canonical Notch signaling directly facilitates SMYD3 expression in vitro and in vivo during RSV infection; (3) DLL4 stimulation changed H3K4me3 gene activation marks around Foxp3 functional promoters and enhancers that are SMYD3-dependent; and (4) DLL4 confers cytokine expression changes in T_reg through SMYD3 with each regulating additional gene expression. Together, our data highlight the broad impact of DLL4/Notch in Foxp3 + T_reg and identified a novel mechanism through methyltransferase SMYD3-mediated histone modification.

SMYD3 was previously reported to be regulated in cancer cells by estrogen receptor, androgen receptor, and TGF-β^25,63–65. Here we identify another novel regulatory signal, Notch. It is noteworthy that DLL4 stimulation and intracellular Notch activation alone does not activate Smyd3 expression in Th0, suggesting that iT_reg environmental cues including TGF-β1 are required. One explanation may be the activation of Foxp3 itself through the individual transcription factors Smad3 (TGFβ) and RBP-Jκ (Notch) that together bind to Foxp3 promoter in order to optimally activate gene transcription.³³ Given that Smad3 also binds to the Smyd3 promoter²⁵ and the present study also showed RBP-Jκ binding on the Smyd3 promoter, the data suggested that TGF-β signaling and canonical Notch cooperatively facilitate Smyd3 expression as well as Foxp3 activation.

T_reg-mediated suppression is tailored to fit in specific tissue and inflammatory settings with different regulatory mechanisms. For example, Foxp3/T-bet could suppress Th1 effector responses,⁶⁶ Foxp3/IRF4 suppresses Th2,⁶⁷ and Foxp3/STAT3 suppresses Th17.⁶⁸ However, little is known about the direct role of Foxp3 for T_reg cell specification. The RNA-seq results showed that Ifng was upregulated more than 16-fold by DLL4 in iT_reg, suggesting that DLL4 stimulation provided a Th1-like profile in iT_reg differentiation similar to previous observations in Th1 differentiation.^69–71 Here we found that DLL4 inhibition decreased Ifng in Foxp3-EGFP + T_reg but increased Il17a in Foxp3-EGFP +. These data in vitro and in vivo suggested a novel paradigm that DLL4 may favor a Th1-like suppressive program in T_reg. It would be intriguing to further investigate whether DLL4 regulated effector function of T-bet + Foxp3 + Th1-like T_reg. This program may have a significant advantage in a viral infection, where IFN-mediated programs are required for viral clearance yet T_reg functions control more pathogenic Th2 and Th17 responses necessary to protect tissue function.

Besides Foxp3 + T_reg, the RNA-seq results suggested that DLL4 stimulation promote a substantial amount of DEGs (819, 96.7% of total DLL4 DEGs) that are not Foxp3-dependent. The RNA-seq result further showed (at least) two other interesting candidates that were promoted by both DLL4 and Smyd3, Tgm2 and Lag3. Tgm2 encodes the TG2 protein that covalently crosslinks latent TGF-β1-binding protein and controls TGF-β1 maturation and activity^72,73 and therefore increases TGF-β1 mRNA levels.⁷⁴ In cancer cells, TGF-β-induced Tgm2 promotes epithelial to mesenchymal transition.^75,76 These latter studies suggest that DLL4/Notch and Smyd3 may reinforce the positive feedback loop of TGF-β signaling to facilitate iT_reg differentiation. Another T_reg signature gene that was shown to be DLL4 and Smyd3 dependent was Lag3. Lag3 is required for maximal regulatory function of CD25 + Foxp3 + T_reg ⁷⁷ and a biomarker for IL-10 producing T_R1 cells that enhances suppressor function to ameliorate mucosal inflammation and autoimmunity.^78,79 The present study also found that both DLL4 and SMYD3 supported IL-10 production and Lag3 expression, together suggesting that DLL4 and SMYD3 may promote T_R1 related function to support an overall regulatory environment along with Foxp3 + T_reg. Given the number of different gene expression profiles,⁷⁹ stability,⁵⁰ and suppression function between in vitro derived iT_reg and in vivo iT_reg ^50,79, it will be exciting to further investigate the role of DLL4/Notch and Smyd3 for specific genes such as Tgm2 and Lag3 regulation from in vivo iT_reg. No doubt these data outline a complex interaction of Notch activation with epigenetic regulation for stabilization of Treg cells, as well as possibly other T-cell subsets. As Lag3 is a checkpoint inhibitor now targeted in cancer immunotherapy trials, it will also be exciting to investigate the efficacy of targeting Smyd3 in Notch-active cancers, including lymphoma/leukemias that have Notch activation signals.

Together, these studies offer new and exciting data that demonstrate the mechanism by which Notch promotes iT_reg cell differentiation and stability through a SMYD3-mediated epigenetic mechanisms to maintain Foxp3 T_reg, their cytokine profile, and other regulatory signatures, such as Lag3 (Fig. 8). Overall, the research highlights DLL4-SMYD3 as potential target for manipulating iT_reg during viral infection immunopathology, as well as other diseases.

Fig. 8.

Schematic summary of how DLL4 promotes Smyd3 expression to confer regulatory features of CD4 T cells