Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

NFAT primes the human RORC locus for RORγt expression in CD4+ T cells

An Author Correction to this article was published on 26 November 2019

This article has been updated


T helper 17 (Th17) cells have crucial functions in mucosal immunity and the pathogenesis of several chronic inflammatory diseases. The lineage-specific transcription factor, RORγt, encoded by the RORC gene modulates Th17 polarization and function, as well as thymocyte development. Here we define several regulatory elements at the human RORC locus in thymocytes and peripheral CD4+ T lymphocytes, with CRISPR/Cas9-guided deletion of these genomic segments supporting their role in RORγt expression. Mechanistically, T cell receptor stimulation induces cyclosporine A-sensitive histone modifications and P300/CBP acetylase recruitment at these elements in activated CD4+ T cells. Meanwhile, NFAT proteins bind to these regulatory elements and activate RORγt transcription in cooperation with NF-kB. Our data thus demonstrate that NFAT specifically regulate RORγt expression by binding to the RORC locus and promoting its permissive conformation.


The ability of the immune system to mount efficient responses depends on the differentiation of naive CD4+ T cells into functionally distinct T helper (Th) subsets, characterized by the secretion of specific “cytokine signatures”. The original Th paradigm contrasted IFNγ-producing Th1 cells, important for host defense against intracellular pathogens, with Th2 cells, which produce IL-4, IL-5, IL-13 and are involved in the protection against parasitic infections. More recently, the range of effector CD4+ T cells was expanded to include Th17 cells that secrete IL-17, IL-21, IL-22, and IL-26 in humans, and contribute to immune responses against extracellular bacteria and fungi1.

Differentiation of Th subsets requires the integration of signals generated by the engagement of the T cell receptor (TCR) and by cytokines present at the time of stimulation: Th1 cells are generated in the presence of IL-12 or IFNγ, while IL-4 promotes Th2 differentiation1. The case of Th17 cells seems more complex: the minimal cytokine requirements for their generation in the mouse were described to be TGFβ and IL-62,3, with other pro-inflammatory cytokines such as IL-21 or IL-1β playing variable roles for Th17 generation both in the murine and the human system4,5.

Differentiation is maintained by a network of subset-specific transcription factors and is stabilized through multiple cell divisions by epigenetic processes that regulate accessibility of regulatory chromatin regions, and promote heritable gene expression patterns. These epigenetic circuits can maintain cell identity when the initial signals driving differentiation are extinct6. Post-translational modifications of histone tails are key in influencing gene expression7, and were shown to be important for T helper cell differentiation. The study of the epigenetic modifications of the Ifng locus in Th1 cells and Il4 locus in Th2 cells showed that these genes are associated with permissive histone marks in the relevant lineage, while they are enriched with repressive modifications in the lineages that do not express the cytokine8. Similarly, in Th17 cells, the Il17a and Il17f loci are enriched for histone marks associated with a permissive chromatin conformation, such as Histone 3 acetylation (H3Ac) and Histone 3 Lysine 4 tri-methylation (H3K4me3)9. These histone modifications contribute to creating an open chromatin environment for the binding of transcription factors to these loci.

For each of these Th subsets, lineage-defining transcription factors, important for the establishment of the identity of the subset, have been described. Expression of T-bet in Th1, GATA3 in Th2 and RORγt in Th17 cells supports differentiation and function of the respective Th population1. Expression of these factors is not limited to the Th subset; in particular, RORγt was originally described as a thymus-specific isoform of the RORC locus, expressed selectively in double-positive (DP) thymocytes. Rorγ−/− mice showed reduced numbers of DP thymocytes and increased thymocyte apoptosis10. Mice that specifically lacked Rorγt expression also showed defective development of foetal lymphoid inducer cells (LTi), and lacked lymph nodes and Peyer’s patches11,12,13.

Downregulation of Rorγt expression is necessary for the maturation of DP thymocytes to the single-positive (SP) stage14. Rorγt expression remains suppressed in mature naive CD4+ T cells, but can be re-expressed in the periphery in selected lymphocyte populations, including Th17 cells, which depend on Rorγt for IL-17 production15. The molecular mechanisms that regulate tissue-specific expression of RORγt are incompletely understood.

Major determinants of Th17 differentiation are the cytokines present at the time of priming. Of the several cytokines involved in the induction or maintenance of Th17 cells, IL-6, IL-21, and IL-23 all activate the transcription factor STAT3. Mutations in human STAT3 in patients with hyper-IgE syndrome impairs Th17 development16,17. Deletion of Stat3 in mouse CD4+ T cells results in the loss of IL-17 production and reduced levels of RORγt5,18,19. STAT3 may directly regulate RORγt transcription, as it binds to the first Rorγt intron in murine Th17 cells19. STAT3 also regulates RORγt indirectly, by inducing other transcription factors, such as HIF1 or the Soxt/Maf complex, which have been reported to bind and activate the murine Rorγt promoter20,21.

STAT3-independent transcriptional pathways have been involved in RORγt induction: mice deficient for the NF-kB protein c-Rel showed compromised Th17 differentiation and reduced RORγt expression. Consistently, direct binding of NF-kB factors was detected at the murine Rorc locus and c-Rel and p65 were shown to directly activate the Rorγt promoter22.

To date, the only transcription factors that have been implicated in thymic expression of RORC are E-proteins induced by pre-TCR signaling in late-stage DN (DN4) thymocytes23. Deletion of these factors reduced RORC expression in Th17 cells, indicating that E-box proteins may also stabilize RORC transcription in peripheral CD4+ T cells24. Consistently, E-boxes in the RORγt promoter bound upstream stimulating factors USF1 and USF2 in the human Jurkat cell line25.

These findings suggest that RORγt regulation is likely the result of molecular interactions within a multifactorial complex, whose exact components remain to be identified.

In this work we explore epigenetic and transcriptional mechanisms associated with human RORγt expression in thymocytes and in vitro differentiating Th17 cells, with particular attention for TCR-activated signaling pathways. We define genomic regions surrounding the RORγt promoter that undergo profound remodeling in thymocytes or in stimulated peripheral CD4+ T cells. Our data demonstrate that the activation of NFAT family transcription factors plays an essential role in RORγt expression and promotes a permissive conformation at the RORγt promoter and upstream regulatory regions. These data support a model where non-specific TCR-mediated activation primes at Th lineage-specific loci an accessible chromatin conformation, which is further stabilized by subset-specific factors induced by polarizing cytokines, resulting in tissue-specific transcription.


Remodeling of the RORC locus thymocyte development

RORγt was first detected in murine double-positive thymocytes. RORγt and its isoform RORγ are encoded by the RORC locus, through the activation of alternative promoters, RORC2 and RORC, respectively22 (Fig. 1a). To analyze expression of RORγt in the human thymus, we sorted the following thymocyte populations showing progressive degrees of maturation: CD4CD8CD3 (double-negative, DN), CD4+CD8CD3 (immature single positive, ISP), CD4+CD8+ double positive with low CD3 expression (DP CD3low), CD4+CD8+ double positive with higher CD3 expression (DP CD3int), and CD4+ single positive or CD8+ single positive cells (SP CD4 and SP CD8), which express the highest levels of CD3 (Supplementary Fig. 1a). RORC expression remained at background levels in all samples analyzed; RORC2 expression started to increase at the ISP stage, peaked in DP cells, and dropped again in SP cells, remaining low in naive CD4+ and CD8+ T cells from peripheral blood (Fig. 1b).

Fig. 1
figure 1

Remodeling of the RORC promoter during thymocyte development. a Scheme of the human RORC locus: transcription from the RORC promoter generates the RORγ isoform; the RORC2 promoter generates the RORγt isoform. Blue boxes: unique RORC exons; pink box: unique RORC2 exon; purple boxes: common exons. Arrows indicate the primers used for RT-qPCR amplification of the two isoforms. b RORC and RORC2 expression in sorted thymocyte populations, and naive CD4+ or CD8+ T cells isolated from cord blood was quantified by microarray. Shown is average and standard deviation of five independent experiments. c Epigenetic modifications at the RORC, RORC2 and CD4 promoters. ChIP was performed with antibodies against histone 4 acetylation (H4Ac, top); histone 3 lysine 27 trimethylation (H3K27me3, middle) and histone 3 lysine 4 trimethylation (H3K4me3, bottom), on sorted thymocyte populations, and in naive CD4+ T cells from cord blood, followed by RT-qPCR of the RORC promoters and the CD4 promoter (as a quality control). ChIP with an irrelevant IgG antibody tested the specificity of binding (white bars). Data are expressed as percent of input and represent average and SD of three replicates. Source data are provided as a Source Data file

We then asked whether selected RORC2 expression in DP thymocytes entailed specific chromatin modifications at the RORC locus. Chromatin Immunoprecipitation (ChIP) assays coupled to RT-qPCR showed that the RORC2 promoter undergoes permissive Histone 4 hyperacetylation (H4Ac) at the transition from the DN to ISP stage (Fig. 1c). H4Ac of the RORC2 promoter persisted in SP CD4+ cells that no longer express RORC2, as well as in naive CD4+ cells from the periphery. Increased acetylation at the ISP stage was paralleled by a decrease in the repressive Histone 3 Lys27 tri-methylation mark (H3K27me3), which was restored in peripheral naive CD4+ T cells, following the extinction of RORC2 expression, consistent with a role in consolidating suppression of RORC2 in these cells. The same pattern for these modifications was detected at the RORC promoter, despite lack of RORC expression, indicating that while these modifications may be important to increase general accessibility at the RORC locus, they do not directly reflect active transcription at this locus.

A more specific enrichment pattern was observed for tri-methylation of Histone 3 Lys4 (H3K4me3), a modification associated with actively transcribed promoters26. The enrichment of this mark at the RORC2 promoter closely reflected RORC2 expression in the different thymocyte populations, with no increase in H3K4me3 at the RORC promoter at any stage of thymocyte development (Fig. 1b, c).

The discrete distribution of H3K4me3 was more evident when we extended the analysis to other conserved non-coding (CNS) regions (Fig. 2a, b): H3K4me3 was increased exclusively around the RORC2 promoter and at the first RORC2 intron, and only in cell populations where RORC2 was actively transcribed. This was in contrast to the changes in H4Ac and H3K27me3, which showed the same pattern of enrichment at all analyzed regions (Fig. 2b). These data show that the whole RORC locus undergoes extensive remodeling in thymocytes at the DN to DP transition, acquiring increased accessibility that allows local H3K4me3 and recruitment of the transcriptional machinery at the RORC2 promoter. The enrichment in H4Ac is maintained after the extinction of RORC2 expression, suggesting that a more permissive conformation persists in naive cells, and may favor renewed RORC2 expression upon appropriate stimulation in peripheral T cells.

Fig. 2
figure 2

Global remodeling of the RORC locus during thymocyte differentiation. a Alignment of the human and murine RORC loci, obtained with the VISTA browser. The Y-axis displays the percentage of identity between sequences. Regions with >70% identity are marked in color: Conserved Non-coding Sequences (CNS) in salmon, 5′ and 3′ untranslated regions (UTR) in light blue and exons in purple. The arrowheads show the localization of the CNS analyzed in the ChIP assays. CNSs are labeled according to their distance from the RORC2 Transcription Start Site. b The diagram on the left shows the organization of the RORC locus. The genomic regions amplified are marked with arrowheads. Enrichment of H3K4me3 (left panels), H3K27me3 (middle panels), and H4Ac (right panels) was analyzed by ChIP assay in DN, ISP, DP CD3low, DP CD3 intermediate, SP CD4 thymocytes, and naive CD4+ T cells from cord blood. Average and SD of three replicates are represented. Source data are provided as a Source Data file

To further characterize putative regulatory sequences at the RORC locus, we performed a ChIP analysis for histone modifications associated with enhancer regions (Fig. 3). H3 Lys4 monomethylation (H3K4me1) is widely distributed and has been reported to mark enhancers independently of their activation27. We found that the H3K4me1 specifically increased at the DP stage and showed a diffused enrichment along the locus (Fig. 3, left column). The enrichment of H3 Lys27 acetylation (H3K27Ac) marks more selectively active enhancers, with a high degree of cell and tissue specificity27. At the RORC locus, H3K27Ac was enriched in ISP and DP cells at CNS located between the RORC and the RORC2 promoter (CNS-1.8 kb and CNS-3.9 kb), as well as at several CNS within the RORC2 introns (CNS+0.9 kb, +5.5 kb, +6.3 kb, +10 kb), suggesting that these regions may have regulatory function for RORC2 expression. No H3K27Ac enrichment was observed upstream of the RORC promoter. Reflecting the decline in RORC2 expression, this mark was progressively lost in SP and naive CD4+ cells (Fig. 3, right column).

Fig. 3
figure 3

Enrichment of enhancer marks at the RORC locus in thymocytes. Enrichment of H3K4me1 (left panels) and H3K27Ac (right panels) was analyzed in different thymocyte populations, and in naive CD4+ T cells. Data represent average and SD of three replicates. The diagram on the left shows the regions analyzed, defined by their distance from RORC2 TSS. Source data are provided as a Source Data file

Induction of RORC2 in CD4+ T cells is cyclosporine-sensitive

In peripheral CD4+ T cells, RORC2 is re-expressed upon differentiation of naive cells to Th17 cells. We asked whether RORC2 expression in peripheral CD4+ T cells involves the same genomic regions and epigenetic processes observed during thymic expression of RORC2. To study the induction of RORC2 during the early stages of human Th17 differentiation we used an in vitro system that allows us to dissect the signaling pathways involved in RORC2 expression. Cord blood-derived naive CD4+ T cells were stimulated through the TCR and the CD28 receptor, in the presence of different combinations of cytokines. We analyzed the expression of RORC and RORC2 by Real-time quantitative PCR. While optimal induction of RORC2 expression was obtained in the presence of TGFβ, IL-1β, IL-21, and IL-23 (“Th17” inducing conditions28), stimulation through the TCR alone was sufficient to induce low levels of RORC2 mRNA, which were further increased by the addition of TGFβ (Fig. 4a). Induction of RORC2 was already visible 4 h after stimulation (Supplementary Fig. 1b). TCR stimulation in the presence of TGFβ or Th17-inducing cytokines, also induced RORC transcription, although the mRNA levels for RORC in CD4+ lymphocytes were at least one hundred-fold lower than those detected in human hepatocytes (Supplementary Fig. 1c). TGFβ alone had no effect on RORC2 expression, underscoring the central role of TCR stimulation (Fig. 4a).

Fig. 4
figure 4

NFAT/calcineurin regulates RORC2 expression in peripheral CD4+ T cells. a RORC2 expression is calcineurin-dependent. Cord blood CD4+ T lymphocytes were stimulated for 20 h. RORC2 expression was quantified by RT-qPCR and represented as fold change relative to Th17 conditions. Average and SD of 5 experiments. b Cord blood CD4+ T cells were stimulated in Th17-inducing conditions for the indicated times, and the distribution of NFAT proteins was analyzed by Imaging Flow Cytometry. Representative images are shown for staining for NFATc1, NFATc2, DAPI, and the overlap of NFATc1 or NFATc2 with DAPI. Scale bar: 7 μm. c The percentage of cells with nuclear NFAT translocation was calculated using a Similarity Score, and the average of 4 independent experiments was plotted for cells stimulated as shown. Bars indicate SEM. d The average mean fluorescence intensity of the NFAT positive cells was plotted for the same samples analyzed in c. e Time-course analysis of absolute mRNA counts of NFAT and RORC measured by nCounter technology in stimulated cord blood CD4+ T cells. Shown are average and SEM from 4 independent experiments. p-values resulted from paired two-tailed t-test. “−”: unstimulated, CsA: Cyclosporine A, Unstim: unstimulated sample, T + T: TCR + TGFβ, 6d: 6 days. Source data are provided as a Source Data file, raw image files are available directly from the authors

A prominent signaling pathway activated downstream of TCR engagement is the calcineurin/NFAT pathway. TCR stimulation activates the phosphatase calcineurin, which dephosphorylates the regulatory domain of transcription factors of the NFAT family, promoting their nuclear translocation, binding to DNA and transcriptional activation29,30. Stimulation of cord blood CD4+ T cells in the presence of the calcineurin inhibitor, Cyclosporine A (CsA), resulted in significant inhibition of RORC2 expression, indicating the importance of the calcineurin/NFAT pathway in RORC2 induction (Fig. 4a).

NFAT family proteins share a conserved DNA-binding REL-homology domain and recognize similar binding sites, but can also show different preferences for specific DNA sequences, resulting in selective transcriptional activation30. NFATc1 (NFATc or NFAT2), NFATc2 (NFATp or NFAT1), NFATc3 (NFAT4), and NFATc4 (NFAT3) require calcineurin for their activation, while NFAT5 is activated by osmotic stress and is calcineurin-independent. In addition, several isoforms with different N- and C-termini are generated by alternative promoter usage and splicing. We focused our analysis on NFATc1 and NFATc2, since these calcineurin-dependent factors were reported to be expressed in peripheral T lymphocytes29.

To explore the role of the NFAT pathway in the early phases of human Th17 differentiation, we studied the dynamics of NFAT nuclear translocation in differentiating cord blood CD4+ T cells. Imaging Flow Cytometry analysis demonstrated a strong nuclear accumulation of NFATc2 in cells stimulated in Th17-differentiating conditions, or through the TCR in the presence of TGFβ (Fig. 4b, c, Supplementary Fig. 2), at an early time point, preceding the increase in RORC2 mRNA levels (Supplementary Fig. 1b). Nuclear translocation of NFATc1 followed a slower kinetics, and was less pronounced than NFATc2 translocation. Both Th17 and TCR + TGFβ stimulation resulted in an increase of NFATc2 mRNA and protein (Fig. 4d, Supplementary Fig. 1d, e), which persisted for the time of observation, while the transient increase of NFATc1 mRNA (Fig. 4e) was accompanied by a smaller increase in NFATc1 mean fluorescence intensity.

NFAT binds to the RORC locus in stimulated CD4+ T cells

Given the involvement of calcineurin activation in RORC2 expression, and the strong early nuclear accumulation of NFATc2 in stimulated cord blood cells, we asked whether NFAT factors directly regulate RORC2 transcription by binding to the human RORC locus. Binding of NFATc2 to the murine Rorc gene was described by Kim and coworkers to occur in Th17-polarizing conditions31. We tested binding of NFAT proteins to the RORC locus in vivo in cord blood CD4+ T cells using ChIP assays, in unstimulated conditions, and in conditions that induce RORC2 expression. ChIP assays performed with anti-NFATc1 antibodies showed that in stimulated cells NFATc1 binds to the RORC2 promoter and to the putative regulatory regions upstream of the RORC2 promoter, CNS-1.8 kb and CNS-2.5 kb (Fig. 5a). NFATc1 binding could be already detected in cells stimulated through the TCR (Supplementary Fig. 3a), it increased in the presence of TGFβ, and was cyclosporine-sensitive. However, NFATc1 binding was strongly reduced in cells stimulated in Th17-inducing conditions (Fig. 5a and Supplementary Fig. 3a).

Fig. 5
figure 5

NFAT binds to the RORC locus in stimulated CD4+ T cells. a NFATc1 binds to the RORC locus in stimulated CD4+ T cells. ChIP was performed on cord blood CD4+ T lymphocytes, followed by RT-qPCR of the indicated genomic regions. b NFATc2 binds to the RORC locus in Th17 cells. ChIP was performed as in a. Shown are one representative experiment of 3, average of three technical replicates. c Left: human/murine alignment of the RORC2 promoter and upstream conserved region (CNS-2.5 kb and -1.8 kb), with the position of the predicted NFAT binding sites tested in the DNA affinity capture assay. Right: DNA affinity capture assay on lysates from Jurkat E6.1 cells stimulated with PMA/ionomycin for 30 min. The western blot of DNA-bound proteins was probed with anti-NFATc2 antibody. IL-2 prom: characterized NFAT site in the IL-2 promoter. neg: sequence in the RORC locus with no predicted NFAT binding sites. d DNA affinity competition assay. Jurkat E6.1 lysates were incubated with biotinylated NFAT binding oligos, together with non-biotinylated oligos containing a wild-type (W) or mutated (M) NFAT binding site. e DNA affinity capture assay on cord blood CD4+ T cells stimulated in the indicated conditions (“−”: unstimulated, TT: TCR + TGFβ; 17: Th17 polarizing condition). f Activity of the RORC2 promoter in cell lines. HEK 293 T and Jurkat E6.1 cells were transfected with the indicated reporter constructs. Normalized luciferase activity is represented as fold change over the activity of pGL3 basic. Average and SD of 4 experiments. g NFATc2 activates transcription from the RORC2 promoter. HEK293T cells were transfected with the RORC2 promoter reporter and the shown NFAT constructs. Luciferase activity is represented as fold change relative to activity of the RORC2 promoter alone (first bar). Average and SD from 15 transfections. Two-tailed t-test was performed as shown. Source data are provided as a Source Data file

To the contrary, enrichment of NFATc2 binding to the RORC locus could be detected at these same regions both in cells stimulated through the TCR in the presence of TGFβ, and in Th17 inducing conditions (Fig. 5b). Binding was inhibited by CsA treatment (Fig. 5b). Only limited NFAT binding was detected at the RORC promoter (Fig. 5a and Supplementary Fig. 3b). NFAT did not bind at CNSs in the first RORC2 intron (CNS+0.9 to CNS+8.3), which also display marks of active enhancers (Figs. 3 and 6b).

Fig. 6
figure 6

NFAT activation promotes epigenetic remodeling at the RORC2 locus. a Epigenetic modifications at the RORC2 promoter in cord blood CD4+ T lymphocytes are calcineurin-sensitive. Cord blood CD4+ T lymphocytes were stimulated 20 h as indicated. ChIP was performed with antibodies against H4Ac, H3K27Ac, H3K4me3 and K3K27me3. b ChIP was performed with antibodies recognizing the following modifications: H3K4me3, H4Ac and K3K27Ac. The diagram on the left shows the regions analyzed. Enrichment is represented as percent of input DNA. CsA: Cyclosporine A. Data represent average and standard deviation of three replicates. Source data are provided as a Source Data file

In silico analysis of the DNA sequence at the NFAT-bound regions revealed the presence of several NFAT consensus binding sites (Fig. 5c and Supplementary Table 3). We used an in vitro DNA affinity assay to test whether these sequences bind NFAT proteins. We incubated extracts from the Jurkat E6.1 T cell line with biotinylated oligonucleotides corresponding to the predicted NFAT binding sites, and analyzed proteins bound to these oligos by SDS-PAGE and Western blotting. As a positive control, we used a characterized NFAT-binding sequence from the IL-2 promoter32, and as a negative control a sequence from the RORC locus that lacks any predicted NFAT binding sites (Supplementary Table 3). We found that both NFATc2 and NFATc1 bind strongly to all four predicted NFAT sites in the RORC2 promoter (Fig. 5c, oligos 4 to 7, Supplementary Fig. 3c). We also observed binding to oligos 1 and 2, which correspond to the upstream NFAT sites in CNS-1.8 kb and CNS-2.5 kb. No binding was detected to oligo 3, which contains a predicted NFAT site located in a non-conserved region upstream of the RORC2 promoter (Fig. 5c, Supplementary Fig. 3c). Specificity of binding was supported by the fact that preincubation with an unbiotinylated oligo containing a wild type NFAT binding site (W) abolished binding of NFAT proteins to the RORC oligos, while addition of an oligo containing a mutated NFAT binding site (M) did not compete with the RORC2 oligos for binding to NFATc1 or NFATc2 (Fig. 5d, Supplementary Fig. 3d and Supplementary Table 3).

A similar pattern of binding to the RORC oligos was detected when protein lysates were obtained from primary CD4+ T cells isolated from cord blood (Fig. 5e, Supplementary Fig. 3e). These findings confirm that NFAT proteins can bind directly to several consensus sequences at transcriptional regulatory regions of the RORC locus.

NFATc2 promotes transcription from the RORC2 promoter

To test the functional outcome of NFAT binding to the RORC locus, we generated firefly luciferase reporter vectors containing either the RORC2 promoter alone, or the RORC2 promoter together with the CNS-2.5 kb and CNS-1.8 kb putative regulatory sequences, and we tested their activity in reporter gene assays. The RORC2 promoter construct transfected in HEK293T cells or in Jurkat cells showed constitutive transcriptional activity (Fig. 5f), similarly to what was reported for the murine RORγt promoter22. This activity was abolished by inversion of the promoter sequence (Fig. 5f) and was not inhibited by CsA treatment, indicating that it is independent of NFAT proteins (Supplementary Fig. 3f). To test the role of NFAT in the transcriptional activation of the RORC promoter, we chose the HEK293T cell line, which does not express endogenous NFATc1 nor NFATc2 proteins (Supplementary Fig. 3i). Co-expression of NFATc2 significantly increased RORC2 promoter activity, however no significant effect on RORC2 promoter activity was detectable upon overexpression of the inducible NFATc1A protein, or of the longer isoform NFATc1C, which, like NFATc2, contains an additional C-terminal transactivation domain (Fig. 5g). We then asked whether binding of NFAT to the putative regulatory sites upstream of the RORC2 promoter could further increase promoter activity. The fold increase in transcriptional activity obtained in HEK293T cells by co-transfection of NFATc1 or NFATc2 with the reporter construct containing CNS-2.5 kb and CNS-1.8 kb was not significantly different from the fold-increase obtained with the construct containing the RORC2 promoter alone (Supplementary Fig. 3g). These findings suggest that NFAT binding to the upstream sites does not directly contribute to enhancing transcription from the nucleosome-free RORC2 promoter, raising the possibility that it may play a different role in the context of chromatin.

The RORC locus undergoes calcineurin-dependent remodeling

To explore additional mechanisms of action of NFAT proteins in RORC2 induction, we asked whether NFAT recruitment could be involved in establishing a transcriptionally active conformation of the RORC locus. NFAT has been shown to induce permissive chromatin modifications by recruiting histone modifying enzymes, such as the histone acetyltransferases p300/CBP, to target genes33. To investigate whether the NFAT pathway plays a role in chromatin remodeling at the RORC locus we analyzed the effect of calcineurin inhibition on histone modifications at the RORC and RORC2 promoters, in unstimulated and stimulated CD4+ T cells isolated from cord blood (Fig. 6a). TCR stimulation alone was sufficient to induce an enrichment of H3K4me3, and hyperacetylation at the RORC2 promoter (Fig. 6a). Both H3K4me3 and H4Ac levels were further increased by the addition of TGFβ or of Th17-inducing cytokines. Contrary to what observed in the thymus, H4 hyperacetylation in stimulated naive CD4+ T cells was restricted to regions surrounding the RORC2 promoter, and not detectable at the RORC promoter (Fig. 6b). The enrichment of these chromatin modifications was impaired by CsA, suggesting that activation of the calcineurin pathway is important for the permissive remodeling of the RORC locus. TCR activation alone also induced CsA-sensitive enrichment of H3K27 acetylation at the RORC2 promoter, as well as the surrounding CNSs (Fig. 6a, b).

To test whether p300 and/or CBP may be involved in the calcineurin-dependent acetylation process, we analyzed the binding of these proteins to the RORC locus in ChIP assays. Both p300 and CBP were found to bind to the RORC2 promoter in stimulated, but not resting, T cells, and the binding was decreased by treatment with CsA, suggesting that NFAT activation promotes recruitment of these acetyltransferases to the RORC locus (Fig. 7a, Supplementary Fig. 3j, k). Calcineurin-dependent binding of p300 was also observed at CNS-2.5 and CNS-1.8, supporting a role for NFAT in the acetylation of the enhancer region as well (Fig. 7b).

Fig. 7
figure 7

Functional characterization of RORC2 regulatory regions. a, b p300 and CBP binding to the RORC locus is cyclosporine-sensitive. a p300 and CBP ChIPs were performed in CD3+ T cells from peripheral blood stimulated for 20 h in the shown conditions followed by RT-qPCR of the RORC2 promoter region. Background from an irrelevant IgG was subtracted. Shown are two representative independent ChIP experiments. Additional independent experiments are shown in Supplementary Fig. 3j, k. b p300 ChIP was performed as in A, followed by RT-qPCR of RORC2 enhancer regions. cg CRISPR-Cas9-mediated deletion of regulatory regions in the RORC locus affects RORC2 expression in primary CD4+ T cells. c Human/murine alignment of the RORC2 promoter and upstream conserved region (CNS-2.5 kb and −1.8 kb). The deleted regions (horizontal bars) and their sizes are represented. d Top panel: PCR amplification of genomic DNA from sorted samples (donor 3) transfected with a ribocomplex of Cas9 protein, crRNA and Atto550-labeled tracrRNA. The left side of the gel shows samples enriched for transfected cells (Atto550 High), the right side samples from Atto550 low cells, carrying wild-type DNA. Asterisks mark fragments carrying the expected deletions. Bottom panel: the proportion of WT and deleted DNA fragments in the Atto550 positive cells was quantified with ImageJ program. e Expression of RORC2 was measured by nCounter technology in CD4+ T cells transfected with a negative control crRNA, or cells carrying a genomic deletion as shown in c, d. Horizontal bars indicate two-tailed Student t-test on samples from 4 different donors. f ANOVA analysis of gene expression Nanostring data in control and CRISPR/Cas9 deleted CD4+ T cell populations from 4 donors (p = 0.002, q = 0.060). Donors 3 and 4 had two independent control transfections each. Green squares indicate control samples, red square samples carrying RORC2 deletions. g Pearson correlation plot of the top differentially expressed variable from the ANOVA analysis in d. Source data are provided as a Source Data file

Taken together, these results indicate that the recruitment of NFAT proteins to the RORC locus plays a role in establishing a chromatin conformation permissive for RORC2 transcription.

Deletion of CNS-2.5 and CNS-1.8 reduces RORC2 transcription

The analysis of histone modifications and of transcriptional regulators binding suggest that the genomic regions corresponding to CNS-2.5 and CNS-1.8 may have enhancer function on RORC2 expression. These data, together with data from the literature (Supplementary Fig. 4 and legend), indicate that these regions are important to nucleate the assembly of clusters of transcription factors that integrate stimuli from the TCR and from cytokines to regulate RORC2 expression. To explore the functional significance of these regions in RORC2 transcription, we used CRISPR/Cas9 technology to engineer genomic deletions of RORC2 regulatory regions in human CD4+ T lymphocytes. We deleted CNS-2.5 and CNS-1.8 individually (O1 and O2), and both in combination (O1/2), and also tested the functional importance of the region containing the O4 and O5 NFAT binding sites (Fig. 7c and Supplementary Fig. 5a, b). As a positive control we introduced a deletion of the proximal RORC2 promoter (O6/7), and a larger one of the extended promoter region (O4/7, Fig. 7c and Supplementary Fig. 5a). Targeting efficacy of guide RNAs was tested in Jurkat cells (Supplementary Fig. 6a).

Transfection of crRNA/Cas9 riboprotein complexes in human primary CD4+ T cells achieved deletion of the targeted regions in 4 different donors, as confirmed by PCR amplification of the genomic target region (Fig. 7d and Supplementary Fig. 6b–d). We used nCounter technology (Nanostring) to quantify the effects of the genomic deletions on the expression of RORC2 and of a panel of immune-related genes. Analysis of RORC2 expression showed significantly reduced RORC2 transcripts in cells carrying deletions of the RORC regulatory regions, both at the promoter and at the enhancer, compared to cells transfected with the negative control ribocomplex (Fig. 7e). Contemporary deletion of CNS-2.5 and CNS-1.8 resulted in increased RORC2 inhibition, arguing for an additive function of these regions. Deletion of the region containing NFAT sites O4/5 also resulted in decreased levels of RORC2 transcripts, suggesting that this poorly conserved region may also play a role in human RORC2 regulation (Fig. 7c, e).

Multigroup comparison of gene expression in the control and samples carrying genomic deletions showed that a number of other immune genes were affected by the deletions and reduced RORC2 expression (Fig. 7f, Supplementary Fig. 7). In particular, we noticed an elevated IFNγ expression in CRISPR/Cas9-deleted samples, possibly due to stimulation by IL-23 present in the Th17-inducing cytokine cocktail, and activation of STAT434. Also increased in samples with deletions at the RORC locus were transcripts from a number of IFNγ target genes, or genes associated with IFNγ-producing cells (PTPN22, TNFSF8/CD153, CDKN1A/p21Cip, CCR5, GZMB)35,36,37, suggesting a skewing towards a Th1-type response in cells stimulated in Th17-inducing conditions when RORγt expression is inhibited. PTPN22 was also described as a direct target of RORγt38. These findings support an enhancer role for CNS-2.5 and CNS-1.8.

NF-kB cooperates with NFAT to activate RORC2 transcription

NFAT proteins share the same core DNA binding site with transcription factors of the NF-kB family30, and the NF-kB subunits c-Rel and p65 were shown to bind to the murine RORC and RORC2 promoters in CD4+ T cells cultured in Th17 polarizing conditions22.

We therefore asked whether NF-kB proteins could bind to the same genomic sites to which NFAT bound in vitro. Probing the membrane from our DNA affinity capture assay with anti-p65 or anti-p50 antibodies showed that both proteins were capable of binding to three of the NFAT-binding oligos in the RORC2 promoter (sites 4, 6 and 7, Fig. 8a). No binding was detected at the NFAT sites between the two promoters (oligos 1, 2 and 3, Fig. 8a).

Fig. 8
figure 8

NF-kB cooperates with NFAT in activating RORC2 transcription. a NF-kB proteins bind to the RORC2 promoter in vitro. DNA affinity capture assay was performed in Jurkat E6.1 cells with biotinylated oligos encompassing the NFAT binding sites (see Fig. 5). Western blot of the DNA-bound proteins was probed with anti-p65 and anti-p50 antibodies. IL-2 prom: NFAT binding site from the IL-2 promoter, neg: sequence in the RORC locus with no NFAT binding site. b NF-kB binds to the human RORC locus in stimulated CD4+ T cells in vivo. CD4+ T cells from cord blood were stimulated for 20 h in the indicated conditions. ChIP was performed with an anti-p65 antibody, followed by RT-qPCR of the RORC promoters and CNS-1.8 kb enhancer region. Data are shown as percent of input, after subtraction of the irrelevant IgG background and represent average and SD of 3 experiments. n.d.: not detected. c NF-kB cooperates with NFAT to activate transcription from the human RORC2 promoter. HEK293T cells were transfected with expression vectors for p65 and p50 (NF-kB) or the indicated NFAT transcription factors, together with a RORC2 promoter construct. Normalized transcriptional activity is represented as fold changes over the activity of the RORC2 promoter alone (first bars). Data shown represent average and SD of 11, 6 and 10 independent experiments (for left, middle and right graphs respectively). d NFATc3 activates transcription from the RORC2 promoter. HEK293T cells were transfected with the RORC2 promoter in the presence or absence of NFATc3. Luciferase activity was measured after 20 h and represented as fold change relative to activity of the RORC2 promoter alone (first bar). Plotted are average and SD from 14 transfections. e NFATc3 binds to the RORC locus. Extracts from sorted DPint and SP CD4+ thymocytes were subjected to chromatin immunoprecipitation with anti-NFATc3 antibodies (left panel, average and SD of 2–4 replicates for the different regions) and anti-NFATc1 antibodies (right panel, one representative experiment). NFAT enrichment is represented as percentage of input after background subtraction. Shown are the p-values from two-tailed t-tests performed between the indicated conditions. Source data are provided as a Source Data file

ChIP experiments in CD4+ cord blood T cells with an antibody against the p65 NF-kB subunit confirmed binding of NF-kB to the RORC2 promoter, as well as to upstream enhancer (CNS-1.8 Fig. 8b). Notably, p65 binding was detectable in cells stimulated in Th17 conditions, but not in naive unstimulated cells, nor in TCR-stimulated cells in the presence of TGFβ alone. These data indicate that different transcriptional complexes assemble at the RORC2 promoter in different stimulation conditions, and that Th17-inducing cytokines are important for NF-kB binding to the RORC2 locus and full activation of human RORC2 expression.

To test the functional effect of NF-kB transcription factors on the RORC2 promoter, we used reporter gene assays in HEK293T cells transfected with the RORC2 promoter reporter construct. Overexpression of both p65 and p50 (NFkB, Fig. 8c) significantly increased transcriptional activity relative to the activity of the RORC2 promoter alone (first bar in the plots of Fig. 8c). While co-transfection of NFATc1A or NFATc1C did not further increase transcriptional activity compared to what observed with NF-kB alone, co-expression of NFATc2 with NF-kB had an additive effect on promoter activity, indicating that these transcription factors cooperate in inducing RORC2 expression (Fig. 8c). As in the case of NFAT, NF-kB overexpression did not increase luciferase activity promoted by the construct containing CNS-2.5 kb and −1.8 kb, when compared to the construct containing only the RORC2 promoter (Supplementary Fig. 3h), indicating that binding of NF-kB in this region is not sufficient to further increase RORC2 transcription, at least in a non-chromatin context.

NFAT binds to the RORC locus in thymocytes

Our epigenetic analysis of the RORC locus in thymocytes and in differentiating Th cells revealed an overlap in the regions that undergo histone modifications upon RORC2 expression. We therefore investigated whether NFAT family transcription factors could be implicated in RORC locus regulation in the thymus as well. NFATc3 is the main isoform expressed in DP thymocytes39, and ectopic NFATc3 expression in HEK293T cells could induce a modest but statistically significant increase in RORC2 promoter transcriptional activity (Fig. 8d). We therefore asked whether NFATc3 factors bound to the RORC locus in vivo. ChIP assays demonstrated that in the human thymus NFATc3 is bound to the same RORC2 promoter and enhancer regions that were bound by NFATc2 and NFATc1 in activated CD4+ T cells in the periphery (Fig. 8e). However, we observed similar levels of NFATc3 binding in DP and in SPCD4+ thymocytes, despite the marked differences in RORC2 transcription in the two populations (Figs. 1b and 8e). NFATc1 was also shown to play a role in the early developmental stages of thymocytes40. We found that also NFATc1 bound to the RORC locus in both DP and SPCD4+ thymocytes (Fig. 8e). Taken together with the findings that RORC locus acetylation persists in SPCD4+ cells despite downregulation of RORC2 expression, these data are compatible with an indirect regulatory role for NFAT proteins in thymocytes in the maintenance of a permissive chromatin environment for RORC2 expression.


In this work we have analyzed the early events that guide the expression of RORγt in human CD4+ T cells. Our data show that the calcineurin/NFAT pathway, and in particular NFATc2, plays a direct role in controlling RORγt transcription, by binding to the RORC locus and promoting a permissive chromatin conformation at RORC2 regulatory regions.

Murine models have shown that NFAT is essential in directing the development of CD4+ T cell subsets. The main NFAT factors expressed in peripheral T lymphocytes are NFATc1 and NFATc2. While NFATc1 has also a role in thymocyte development40, NFATc2 plays a role mainly in the periphery, since NFATc2−/− mice show normal thymus development but alterations in Th2 differentiation41. Simultaneous deletion of NFATc1 and NFATc2 in CD4+ T cells leads to a broad suppression of cytokine secretion, demonstrating that these factors are essential for Th effector differentiation and function42. These studies demonstrated that the deficiency of individual NFAT proteins results in distinct phenotypes, implying that different NFAT factors can display unique transcriptional activities, and that the balance between NFAT proteins may be crucial to sustain specific CD4+ T cell functions. However, dissecting the mechanism of action of single NFAT factors has proven challenging, due to partially overlapping activities of the different NFAT proteins, and their complex interplay. This includes feedforward loops, such as NFATc1 induction by NFATc243, and compensatory mechanisms in knock-out models, which have complicated the study of NFAT role in murine Th17 function. NFATc1-deficiency in CD4+ T cells causes reduced levels of Th17 cytokines secretion, and attenuated experimental autoimmune encephalitis (EAE)44,45. Furthermore, the combined deficiency of NFATc1 and NFATc2 completely protects mice from EAE, suggesting that both factors are involved in Th17 differentiation or function, and in the production of IL-1744,46,47. NFATc1 deficiency alone resulted in a modest reduction of RORC expression, but unexpectedly NFATc2−/− CD4+ T cells in Th17-inducing conditions showed increased expression of RORC. These results may be explained by the compensatory action of increased nuclear NFATc1 activity observed in NFATc2−/− animals44, and are consistent with the ability of NFATc1 to bind to the NFAT sites at the RORC locus, in vitro or under specific conditions in vivo. In contrast with the NFATc2 ko findings, a hyperactive form of NFATc2 induced early upregulation of RORC transcription47, and consistent with this study and with the findings of Kim et al.31, we found that NFATc2, but not NFATc1, bound to the human RORC locus in early differentiating Th17 cells. NFATc2, but not NFATc1, synergized with NF-kB factors to activate the RORC2 promoter, supporting a more important role for this NFAT family member in the early induction of RORC2 transcription in human Th17 cells. The preference for NFATc2 binding in Th17 cells could be explained by the different kinetics of NFATc1 and NFATc2 in these conditions, since NFATc2 showed strong nuclear accumulation in stimulated cord-blood CD4+ T cells early after activation. Another possibility, is that preferential binding of NFATc2 to the RORC2 locus in differentiating Th17 cells is stabilized by the interaction with other transcription factors induced in Th17 conditions, consistent with our finding that NF-kB p65 binds to the RORC2 promoter only in Th17 differentiating conditions. A recent mass-spectrometric analysis of NFATc1- and NFATc2-binding proteins in Jurkat T cells has demonstrated that these factors can establish non-overlapping interactions with other proteins, including preferential interactions of NFATc2 with some transcriptional regulators, such as c-Jun, c-Fos, Runx1, EGR1 and the MafG and K transcription factors48. These findings support the notion that NFAT factors act through the nucleation of multi-protein complexes.

Our luciferase reporter assays in HEK293T cells demonstrate that NFAT factors can cooperate with NF-kB to activate the RORC2 promoter, although the increase in transcriptional activity in the presence of NFAT proteins was moderate. This could be explained by the lack, in our experimental conditions, of additional factors necessary for full transcriptional activation of RORC2. It is also possible that an important function of NFAT binding to the RORC2 locus is to promote the establishment of a permissive chromatin conformation. This activity cannot be appreciated in the non-chromatin environment of the reporter assay, but is supported by the fact that CsA inhibits H4Ac and H3K27Ac, and binding of histone acetylases at the RORC locus.

Our analysis of histone modifications in developing thymocytes and differentiating Th17 cells identified in the genomic sequence between RORC and RORC2 transcription start sites several conserved regions with possible regulatory function, which may be important to cluster transcription factors that integrate stimuli from the TCR and from cytokines to regulate RORC2 expression (Supplementary Fig. 4). NFAT presence at these regions could be essential to promote the binding of such transcriptional complexes, by translating TCR signaling in permissive chromatin remodeling of selected regulatory sequences. CRISPR/Cas9-mediated deletion of these sequences confirmed their role in RORC2 expression, and resulted in increased expression of genes associated with a Th1 response, similarly to what observed in murine Th17 cells treated with RORgt antagonists38.

The RORC2 promoter (Supplementary Fig. 4a) presents multiple NFAT-consensus binding sites that showed strong binding of NFAT proteins in vitro and in vivo. Sequences that can bind both NFAT and NF-kB were described in several cytokine promoters29. Consistently, we found that NF-kB proteins also bind to three NFAT-binding sequences in the RORC2 promoter, and that NF-kB and NFAT cooperate in promoting RORC2 transcription. These data are consistent with the role of c-Rel and p65 in activating the murine Rorγt promoter reported by Ruan et al.22. One of the two Rel sites described by these authors is strictly conserved between mouse and human, and partially overlaps with the NFAT site 7 of our study. NFAT site 7 is also adjacent to a Runx3 site that was described to promote Rorγt transcription in NK cells and ILC349.

NFAT sites 6 and 7 are in the proximity of two predicted Hif-1α binding sites. Hif-1α is upregulated in a STAT3-dependent manner and binds to this region in murine Th17 cells20. This sequence may thus constitute one of the molecular nodes that integrate environmental clues with cytokine and TCR signaling.

The upstream conserved region (CNS-2.5/-1.8 kb, Supplementary Fig. 4b) bears markers of active enhancers in cell populations that express RORC2. The RORC2 enhancer region is characterized by weaker binding of NFAT to sites 1 and 2 in vitro, which may explain the lack of enhancing activity of this fragment in our reporter assay, since binding of additional factors at these sites may be necessary to stabilize the interaction of NFAT proteins in vivo.

Data from the literature indicate that two clusters of transcription factors can bind to this region in Th17 cells. Runx1 and E-proteins have been described to bind in the proximity of NFAT site 124,50,51. The second cluster is found at CNS-1.8, which encompasses NFAT site 2. This sequence was shown to bind c-Maf and Sox5t in murine CD4+ T cells21. An interaction between c-Maf and NFATc2 was demonstrated to maximally activate the IL-4 promoter52. Given the close proximity of NFAT site 2 with a c-Maf site, and the ability of c-Maf to activate or repress transcription in Th17 cells53, it will be interesting to explore how NFATc2 and c-Maf functionally interact to regulate RORC2 transcription.

Our epigenetic analysis also highlighted the presence of enhancer regulatory features in the first RORC2 intron (CNS+5.5), which does not bind NFAT in our study. Binding of BATF/IRF4 complexes, STAT3 and p300 was reported in this region in murine CD4+ T cells. Ciofani et al. proposed that BATF4/IRF4 complexes act as pioneer factors to promote chromatin accessibility for the binding of additional cytokine-induced regulators53. The BATF/IRF4 sites in the RORC2 intron may therefore represent another NFAT-independent integration node for TCR/cytokine signaling for the regulation of RORC expression. Since Batf−/− mice showed normal early RORC induction, but could not maintain RORC levels upon longer stimulation, this region may have a role in stabilizing RORC transcription at later time points after stimulation54. In our study, this RORC2 intron showed marked H4Ac and H3K27Ac enrichment in DP thymocytes. However, at early time points during in vitro Th17 differentiation, increased acetylation was limited in this region, consistent with a lack of early involvement of this intron in RORC2 induction.

Whether the factors that play a role in RORC/RORC2 expression in Th17 cells also are important for thymic RORC/RORC2 induction remains to be established. However, the histone modifications in the sequences upstream the RORC2 TSS showed remarkable similarities in RORC2-expressing thymocytes and differentiating Th17 cells, suggesting conserved regulatory functions in the thymus and in the periphery. The integrity of the calcineurin/NFAT pathway is essential for normal thymic development55. NFATc3 is the major NFAT protein expressed in thymocytes39, and NFATc3 deficient thymocytes present developmental defects both in the late DN stage, and at the DP stage56. The binding of NFATc3 to the RORC2 locus that we detected in thymocytes indicates that one of NFATc3 functions in these cells may be to regulate RORC2 transcription. Binding of NFAT at the RORC2 promoter and enhancer could still be detected in SP CD4+ thymocytes, which do not express RORC2, demonstrating that NFAT presence is not sufficient for RORC2 expression, although it may be important to conserve low levels of H4Ac and a permissive conformation of the RORC locus for rapid activation in the periphery.

Epigenetic analyses of Th cell differentiation are consistent with the notion that commitment to a stable Th state is supported by chromatin remodeling at genes important for the effector phenotype, and that the accessible conformation can persist in the absence of the initial inducing signal and of active transcription57. The coexistence of “bivalent” (permissive H3K4me3 and repressive H3K27me3) modifications at the Tbx21 and Gata3 loci in naive CD4+ T cells may reflect their previous activation in the thymus8. We found that the RORC locus also acquires a “primed” configuration during thymic development, with diffused histone acetylation, reduced H3K27me3 and widespread enrichment of H3K4me1. Memory of RORC2 expression persists in mature naive CD4+ T lymphocytes, which show a partially permissive conformation at the RORC2 locus, with reestablished H3K27me3 together with H4Ac. Low levels of NFATc2 binding in naive peripheral CD4+ T cells may contribute to maintaining the acetylated status of the locus, in the absence of RORC2 expression.

In modeling the epigenetic differentiation of Th2 cells, Agarwal and Rao proposed a two-step process for the activation of the IL-4 enhancer, where subset-specific transcription factors establish an open structure at the IL4 locus, making it accessible to non-subset specific factors that are induced by antigen-stimulation58. In the case of the RORC locus, we propose that TCR-mediated activation of non-specific factors, such as NFAT, is the priming event resulting in an accessible chromatin conformation of this locus and low-level transcription. The final outcome for Th differentiation depends on the stabilization (or repression) of the activating modifications through the binding to the open chromatin of additional factors induced by polarizing cytokines, resulting in tissue-specific transcription.


Primary cells and cell lines

Human thymi were removed during cardiac surgery at the Pediatric Cardiac Surgery Department of Hôpital Necker, Paris, France. Both parents provided a declaration of non-opposition to the secondary utilization, and the study was approved by the local ethics committee (Comité du Recherche Clinique, CoRC, Institut Pasteur, Paris, no. 2011-43). Thymi were dissected in small fragments, passed through a sieve and the cellular suspension was separated on Ficoll-Hypaque (GE Healthcare) density gradient centrifugation. Thymocytes subpopulations were isolated by fluorescence-activated cell sorting on a FACS Aria II (BD Biosciences). DAPI and a “dump channel” with antibodies against CD56, CD19, CD14, CD11c, TCRγ/δ, and glycophorin were used to eliminate dead cells, NK cells, B cells, monocytes, dendritic cells, γ/δT cells and erythrocytes. The remaining population was sorted into Double Negative (DN, CD4CD8), CD8 Single Positive (SP CD8, CD4CD8+), and Double Positive cells (DP, CD4+CD8+) cells. CD4+CD8 cells were separated into Immature Single Positive (ISP, CD4+CD8CD3) and CD4 Single Positive (SP CD4, CD4+CD8CD3++). The DP population was separated into an immature population with low CD3 levels (DP CD3low) and a more mature population with intermediate levels of CD3 expression (DP CD3int) (Supplementary Fig. 1a for gating strategy).

Cord Blood was obtained from the AP-HP Cord Blood Bank (Hôpital Saint Louis, Paris, France), as units discarded following screening for allogeneic transplantation. Written informed consent was obtained from the donors. The research protocol was authorized by the CoRC, Institut Pasteur, Paris (no. 2012-38) and the regional (CPP 2013/01NICB, Comité de Protéction des Personnes) ethical committees. Lymphocytes were isolated by Ficoll-Hypaque density gradient centrifugation, and CD4+ or CD8+ population by either fluorescence-activated or magnetic cell sorting (Miltenyi Biotech), following the manufacturer’s protocol for positive selection.

CD3+ and CD4+ T cells from adult peripheral blood were isolated from buffy-coats (Hôpital Saint Louis, Paris, France) by Ficoll-Hypaque density gradient centrifugation, followed by positive selection on magnetic columns using the CD3 or CD4 microbeads according to the manufacturer’s protocol (Miltenyi Biotech).

Jurkat E6.1 cells (ATCC, TIB-152) were cultured in RPMI supplemented with 10% FCS, HEK293T cells (ATCC CRL-3216) were cultured in DMEM plus 10% FCS.

T cells stimulation

Purified naive CD4+ T cells were resuspended in RPMI medium supplemented with 10% FCS and cultured in the following conditions: TCR: stimulation with Dynabeads Human T-activator CD3/CD28 (4 beads per 106 cells; Thermo Fisher scientific); TCR + TGFβ: TCR stimulation in the presence of TGFβ (10 ng/ml; Miltenyi); Th17 polarizing condition: TCR stimulation in the presence of TGFβ (10 ng/ml), IL-1β (10 ng/ml; Miltenyi), IL-23 (10 ng/ml; Miltenyi) and IL-21 (25 ng/ml; Miltenyi), plus anti-IFNγ and anti-IL-4 neutralizing antibodies (1 μg/ml; BD Biosciences); Th1 polarizing condition: TCR stimulation in the presence of IL-12 (2.5 ng/ml; Roche) and anti-IL-4 antibodies. The calcineurin inhibitor Cyclosporine A (CsA; 1 μg/ml; Sigma-Aldrich) was added to the cultures where indicated.

Gene expression analysis

Total RNA was purified on RNeasy columns (Qiagen) and reverse transcribed using the High Capacity cDNA Reverse Transcription kit (Applied Biosystems). Real-Time quantitative PCR was performed on a Step One Plus PCR System (Applied Biosystems), with SYBR green FastStart Master Mix (Roche) and the data were normalized to 18S content. The primers used are detailed in Supplementary Table 2.

Imaging Flow Cytometry

CD4+ T cells isolated from cord blood were stimulated as indicated, and fixed in 4% paraformaldehyde at RT for 10 min. Cells were washed once in FACS buffer (PBS, 2% FCS) and resuspended in permeabilization buffer (10% Triton-X100 in FACS buffer) with mouse or rabbit normal IgG for 10 min, RT, followed by incubation at RT for 30 min with anti-NFAT or irrelevant control antibodies (see Supplementary Table 7). Samples were washed once with FACS buffer and incubated with anti-mouse IgG antibodies and DAPI for 30 min at RT. Data acquisition was performed on an ImageStreamX MKII Imaging cytometer (Amnis, Luminex corporation) and data processed using the IDEAS software (Amnis). Images acquired include a brightfield image (Channels 1 and 9; 430–480 nm), Cyan3 (Channel 2; 560–595 nm), DAPI (Channel 7; 430–505 nm) and AF647 (Channel 11; 660–740 nm). Cyan3 was excited by a 56 nm laser with a 150 mW output, DAPI was excited by a 405 nm laser with a 1 mW output, and AF647 was excited by a 642 nm laser with a 150 mW output. For each sample, images were collected for 10,000 events. A matrix of spectral compensation values was built using values from unstained cells, and samples labeled with a single fluorochrome. Following compensation for spectral overlap, nuclear translocation was computed with IDEAS® software version 6.2, using the Similarity feature, which is derived from the logarithmic transformation of the Pearson’s correlation coefficient calculated between pairs of the intensity values obtained from the NFAT image and the nuclear reference (DAPI) image59,60. Single cells that were in focus and were positive for DAPI were selected and all measurements of NFATc1 and NFATc2 were made from this Single cells/DAPI positive population (gating strategy in Supplementary Fig. 2d, and antibodies list in Supplementary Table 8).

Chromatin Immunoprecipitation assay

After stimulation, cells were fixed in 1% formaldehyde for 10 min at 37 °C. The reaction was stopped by adding glycine to a final concentration of 0.125 M. Cells were lysed on ice in SDS lysis buffer (1% SDS, 10 mMEDTA, and 50 mM Tris, pH8.0, AEBSF (Roche) and Leupeptin (Sigma-Aldrich)). We used 1 million cells for histone modification, 8 million cells for NFAT/NFκB and 25 million cells for the p300/CBP ChIPs. Cells were sonicated using a Bioruptor-Pico (Diagenode) for 15 cycles. The sonicated lysate was diluted 10-fold in ChIP dilution buffer (0.01% SDS, 1.1% Triton X-100, 2 mM EDTA, 20 mM Tris–HCl, 500 mM NaCl). In total 10% of the diluted lysate was kept as “input” sample for normalization. Samples were incubated overnight at 4 °C with the antibody, and the antibody/protein complex was collected with Dynabeads protein A or protein G (Thermo Fisher scientific). Antibodies used and concentrations are detailed in Supplementary Table 5. The Ab/protein complex was washed with Low-salt Buffer (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris–HCl, pH 8.0, 150 mM NaCl), High-salt Buffer (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris–HCl, 500 mM NaCl), LiCl Buffer (0.25 mM LiCl, 1% IGEPAL-CA630, 1% deoxycholic acid, 1 mM EDTA, 10 mM Tris, pH8.0), and twice with TE Buffer. DNA/protein complexes were eluted with 1% SDS and 0.1 mM NaHCO3, and crosslinking reversed by incubation at 65 °C overnight, followed by Proteinase K digestion. DNA was purified using the QIAquick PCR purification kit (Qiagen) and analyzed by RT-qPCR. Primers are listed in Supplementary Table 1. Data were plotted after subtraction of Irrelevant IgG background, and eventual negative values were indicated as non detected.

Affinity capture assay for DNA binding proteins

NFAT binding sites were predicted using the PROMO 3.0 program. Biotinylated forward-strand and a reserve-strand oligonucleotides encompassing the predicted binding site plus 10 bases upstream and downstream were obtained from MWG Biotech (Supplementary Table 3). Nuclear extracts were prepared from 5 × 106 Jurkat E6.1 or primary CD4+ T cells (extraction buffer: 20 mM Hepes/NaOH pH 7.9, 0.35 M NaCl, 0.1% Nonidet P-40, 1 mM MgCl2, 0.5 mM EDTA, 20% glycerol and proteinase inhibitors) and incubated for 30 min on ice with 2 pmoles of biotinylated double-stranded oligonucleotides and 2 μg poly(dI-dC). Bound proteins were pulled down with 20 μl streptavidin/magnetic dynabeads (Thermo Fisher Scientific) and washed 4 times with ice-cold wash buffer (25 mM Hepes/NaOH pH 7.9, 0.15 M NaCl, 0.1% Nonidet P-40) and once with ice-cold PBS. The complexes beads/oligonucleotides/proteins were eluted in 2× sample buffer at 95 °C for 5 min. Proteins were analyzed by SDS gel and western Blot with anti-NFATc1, anti-NFATc2, anti-p50 and anti-p65 antibodies (Supplementary Table 5). Uncropped original blots are provided in a separate Source File.

Generation of RORC reporter gene constructs

To measure the activity of the RORC2 promoter in vitro, an 832 bp fragment (−715 to +117 from the RORC2 transcription start site) was amplified from a RORC Bacterial Artificial chromosome (BAC CTD 2234L24; Invitrogen) and cloned in the pGL3 basic plasmid (Promega). A RORC regulatory element located between the RORC and RORC2 promoters (CNS-2.5/-1.8, that contains two CNS) was also amplified and cloned upstream of RORC2prom in the pGL3 vector. The primers used to generate these constructs are listed in Supplementary Table 4.

Cell transfection

Jurkat E6.1 cells were transfected using the gene Pulse Xcell electroporator (Bio-rad, 260 V, 950 μF) with 500 ng of pGL3 reporter vectors and 5 ng of pRL-TK vector (Renilla luciferase, to normalize for transfection efficiency). HEK293T cells were transfected using Lipofectamine 2000 (Life Technologies). Cells were transfected in a 48 well plate with 100 ng of pGL3 reporter vectors, 5 ng of pRL-TK vector (Renilla luciferase, to normalize for transfection efficiency), and 180 ng of the following expression vectors: pEF6-NFATc2 expression vector (a kind gift from O. Kaminuma), pEGZ-NFATc1A and pEGZ-NFAT1C (a kind gift from F. Berberich-Siebelt), pCMV4-p50 (purchased from Addgene) and pCDNA-p65 (a kind gift from G. Natoli). Luciferase activity was measured 24 h after transfection using the Dual-Luciferase Reporter Assay System kit (Promega).

CRISPR/Cas9 editing of Jurkat cells

Cas9 was expressed from plasmid pCas9-GFP (Addgene plasmid #44719) and guide RNAs (gRNAs) were expressed from plasmid MLM3636 (Addgene plasmid # 43860). The choice of gRNA was based on high target specificity and low number of off-target sites, as determined with the Benchling and Cas OFFinder softwares (see Supplementary Table 6). Two gRNA-related oligonucleotides (upstream and downstream) containing the 20 bp gRNA sequence and the linker sequences (5′-ACACCG-gRNA-G-3′ for the upstream oligonucleotide and 5′-AAAAC-gRNA’-CG-3′ for the downstream oligonucleotide) were used for cloning into the BsmBI cloning site of MLM363661. Briefly, annealing of gRNA-related upstream and downstream oligonucleotides (100 μM stock) was performed by mixing 10 μl of each oligonucleotide (Final oligo concentration: 10 μM) with 80 μl of buffer containing 10 mM Tris pH7,5, 1 mM EDTA and 50 mM NaCl and incubating at 95 °C for 15 min and then at room temperature for at least 1 h. MLM3636 plasmid was digested by BsmBI enzyme (NEB). Linearized MLM3636 plasmid was run on a 1% gel, extracted and purified (Qiagen, #28704). Ligation was performed by incubating 100 ng of linearized MLM3636 plasmid with 0.05 μM annealed gRNA-related oligonucleotides, 2 μl 10× Ligase buffer (NEB) and 1 μl T4 Ligase (NEB) in a 20 μl volume reaction for 1 h at room temperature. DH5α bacteria (Invitrogen) were transformed with the ligation product and amplified. Purified plasmids were Sanger sequenced using LKO.1 5′ primer (5′-GACTATCATATGCTTACCGT-3′) to verify correct gRNA cloning. 5 million Jurkat cells were nucleofected using the Cell Line Nucleofector® Kit V from Lonza (program X-001, Amaxa Nucleofector Technology) and 4 μg of upstream gRNA, 4 μg downstream gRNA and 4 μg of the pCas9-GFP plasmid. The following day, single cells expressing GFP were sorted using a BD FACSAriaTM cell sorter. Plates containing nucleofected cells were then kept in culture four to six weeks, and genomic DNA from growing cell clones were screened by PCR for deletions (primers listed in Supplementary Table 7).

CRISPR/Cas9 editing of primary CD4+ T cells

crRNAs for the sequences validated in Jurkat cells were obtained from Integrated DNA technologies (IDT, Skokie, IL, USA). TracrRNA ATTO550, S.p Cas9 Nuclease V3, non-targeting negative control crRNA, and the Cas9 electroporation Enhancer were purchased from IDT. Guide RNA (gRNA) complexes were formed by heating 1 μl 200-μM crRNA, 1 μl 200-μM tracrRNA and 2.5 μl of Duplex buffer at 95 °C for 5 min, and incubating at room temperature for 15 min. To form RNP complexes, 4 μl of upstream gRNA, 4 μl of downstream gRNA, and 5 μl Cas9 nuclease (36 μM) were incubated at room temperature for 20 min. For RNP electroporation, 5 million CD4+ T cells freshly isolated from healthy donor were stimulated 48 h through the TCR using αCD3/αCD28 beads (4 beads per 106 cells; Thermo Fisher scientific). Cells were resuspended in 87 μl T buffer (Invitrogen) with 13 μl RNP complex and 20 μl 10.8 μM Cas9 electroporation enhancer. Electroporation was performed at 1600 V 3 pulses of 10 ms with the Neon Electroporation system (Invitrogen). In total 24 h post electroporation, the top 15–20% ATTO550 high and the ATTO550 low cells were sorted, and plated in culture medium supplemented with Th17 polarizing cocktail and cultured for 4 days before analysis. RNA and genomic DNA were isolated using the AllPrep DNA/RNA Micro Kit (Qiagen RNeasy Micro Kit, Valencia, CA). Genomic DNA from the sorted cells was analyzed using the primers listed in Supplementary Table 7 and the Expand long template PCR system (Roche). RNA concentration was estimated using Qubit RNA HS Assay Kit (Life Technologies, USA) according to the manufacturer’s instructions and gene expression was analyzed using the nanoString Human Immunology V2 codeset, which includes 594 immune-related gene probes (nanoString Technologies), 8 negative control probes and 6 positive control probes designed against six in vitro transcribed RNA targets at a range of concentrations.

Gene expression analysis with nCounter technology

In total 50 ng of total RNA from each sample were analyzed according to manufacturer’s instructions. Briefly, hybridization reactions were performed at 65 °C for 22 h with 5 μl RNA hybridization buffer, Reporter probes and Capture probes. Cartridges were read on a nCounter Digital Analyzer at the highest resolution (555 fields-of-view (FOV) collected per flow cell) to yield a Reporter Code Count (RCC) data set. nSolver analysis software (version 3.0, NanoString) was used for quality control and data normalization. The following housekeeping genes were used to normalized the time course experiment samples: ABCF1, EEF1G, POLR2A, RPL19 and TBP. For the CRISPR/Cas9 experiment, ABCF1, EEF1G, POLR2A, RPL19, TBP, PPIA, OAZ1 and GUSB were used. Were removed from the analysis: probes with low counts in 100% of the samples (counts below the mean of the negative control probes +2 SD in all samples), probes mapping to multiple genes or probes aligning to polymorphic regions with greater than two SNPs62 and probes used for housekeeping gene normalization, leaving a total of 356 genes. Data analysis was performed using the Qlucore software (version 3.5, Qlucore, Lund, Sweden) was used for ANOVA statistical analysis of log2 transformed data. For Heatmap and box-plot representations, data were mean-centered, and scaled to unit variance. Rstudio (Version 1.2.1335) and the package Corrplot were used for correlation analyses. Dot-plot/column graphs were compiled with GraphPad Prism v.7.0.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

Original Image Flow Cytometry files are available from the authors upon request. The source data underlying Figs. 1, 2, 3, 5, 6, 7, 8 and Supplementary Figs. 1a–d, 3, 6 and 7 are provided as a separate Source Data file.

Change history

  • 26 November 2019

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.


  1. Zhu, J., Yamane, H. & Paul, W. E. Differentiation of effector CD4 T cell populations (*). Annu. Rev. Immunol. 28, 445–489 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Veldhoen, M., Hocking, R. J., Atkins, C. J., Locksley, R. M. & Stockinger, B. TGFbeta in the context of an inflammatory cytokine milieu supports de novo differentiation of IL-17-producing T cells. Immunity 24, 179–189 (2006).

    CAS  PubMed  Google Scholar 

  3. Mangan, P. R. et al. Transforming growth factor-beta induces development of the T(H)17 lineage. Nature 441, 231–234 (2006).

    ADS  CAS  PubMed  Google Scholar 

  4. Sutton, C., Brereton, C., Keogh, B., Mills, K. H. G. & Lavelle, E. C. A crucial role for interleukin (IL)-1 in the induction of IL-17-producing T cells that mediate autoimmune encephalomyelitis. J. Exp. Med. 203, 1685–1691 (2006).

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Nurieva, R. et al. Essential autocrine regulation by IL-21 in the generation of inflammatory T cells. Nature 448, 480–483 (2007).

    ADS  CAS  PubMed  Google Scholar 

  6. Goldberg, A. D., Allis, C. D. & Bernstein, E. Epigenetics: a landscape takes shape. Cell 128, 635–638 (2007).

    CAS  PubMed  Google Scholar 

  7. Kouzarides, T. Chromatin modifications and their function. Cell 128, 693–705 (2007).

    CAS  PubMed  Google Scholar 

  8. Wei, G. et al. Global mapping of H3K4me3 and H3K27me3 reveals specificity and plasticity in lineage fate determination of differentiating CD4+ T cells. Immunity 30, 155–167 (2009).

    PubMed  PubMed Central  Google Scholar 

  9. Akimzhanov, A. M., Yang, X. O. & Dong, C. Chromatin remodeling of interleukin-17 (IL-17)-IL-17F cytokine gene locus during inflammatory helper T cell differentiation. J. Biol. Chem. 282, 5969–5972 (2007).

    CAS  PubMed  Google Scholar 

  10. Jetten, A. M., Kurebayashi, S. & Ueda, E. The ROR nuclear orphan receptor subfamily: critical regulators of multiple biological processes. Prog. Nucleic Acid Res. Mol. Biol. 69, 205–247 (2001).

    CAS  PubMed  Google Scholar 

  11. Kurebayashi, S. et al. Retinoid-related orphan receptor gamma (RORgamma) is essential for lymphoid organogenesis and controls apoptosis during thymopoiesis. Proc. Natl Acad. Sci. USA 97, 10132–10137 (2000).

    ADS  CAS  PubMed  Google Scholar 

  12. Sun, Z. et al. Requirement for RORgamma in thymocyte survival and lymphoid organ development. Science 288, 2369–2373 (2000).

    ADS  CAS  PubMed  Google Scholar 

  13. Eberl, G. et al. An essential function for the nuclear receptor RORgamma(t) in the generation of fetal lymphoid tissue inducer cells. Nat. Immunol. 5, 64–73 (2004).

    CAS  PubMed  Google Scholar 

  14. He, Y.-W. et al. Down-regulation of the orphan nuclear receptor RORγt is essential for T lymphocyte maturation. J. Immunol. 164, 5668–5674 (2000).

    CAS  PubMed  Google Scholar 

  15. Ivanov, I. I. et al. The orphan nuclear receptor RORgammat directs the differentiation program of proinflammatory IL-17+ T helper cells. Cell 126, 1121–1133 (2006).

    CAS  PubMed  Google Scholar 

  16. Milner, J. D. et al. Impaired T(H)17 cell differentiation in subjects with autosomal dominant hyper-IgE syndrome. Nature 452, 773–776 (2008).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  17. Ma, C. S. et al. Deficiency of Th17 cells in hyper IgE syndrome due to mutations in STAT3. J. Exp. Med. 205, 1551–1557 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Yang, X. O. et al. STAT3 regulates cytokine-mediated generation of inflammatory helper T cells. J. Biol. Chem. 282, 9358–9363 (2007).

    CAS  PubMed  Google Scholar 

  19. Durant, L. et al. Diverse targets of the transcription factor STAT3 contribute to T cell pathogenicity and homeostasis. Immunity 32, 605–615 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Dang, E. V. et al. Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1. Cell 146, 772–784 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Tanaka, S. et al. Sox5 and c-Maf cooperatively induce Th17 cell differentiation via RORγt induction as downstream targets of Stat3. J. Exp. Med. 211, 1857–1874 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Ruan, Q. et al. The Th17 immune response is controlled by the Rel-RORγ-RORγ T transcriptional axis. J. Exp. Med. 208, 2321–2333 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Xi, H., Schwartz, R., Engel, I., Murre, C. & Kersh, G. J. Interplay between RORγt, Egr3, and E proteins controls proliferation in response to Pre-TCR signals. Immunity 24, 813–826 (2006).

    CAS  PubMed  Google Scholar 

  24. Zhang, F., Fuss, I. J., Yang, Z. & Strober, W. Transcription of RORγt in developing Th17 cells is regulated by E-proteins. Mucosal Immunol. 7, 521–532 (2014).

    CAS  PubMed  Google Scholar 

  25. Ratajewski, M., Walczak-Drzewiecka, A., Salkowska, A. & Dastych, J. Upstream stimulating factors regulate the expression of ROR T in human lymphocytes. J. Immunol. 189, 3034–3042 (2012).

    CAS  PubMed  Google Scholar 

  26. Ucar, D. & Bayarsaihan, D. Cell-specific gene promoters are marked by broader spans of H3K4me3 and are associated with robust gene expression patterns. Epigenomics 7, 129–131 (2015).

    CAS  PubMed  Google Scholar 

  27. Calo, E. & Wysocka, J. Modification of enhancer chromatin: what, how, and why? Mol. Cell 49, 825–837 (2013).

    CAS  PubMed  Google Scholar 

  28. Ivanov, I. I., Zhou, L. & Littman, D. R. Transcriptional regulation of Th17 cell differentiation. Semin. Immunol. 19, 409–417 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Rao, A., Luo, C. & Hogan, P. G. Transcription factors of the NFAT family: regulation and function. Annu. Rev. Immunol. 15, 707–747 (1997).

    CAS  PubMed  Google Scholar 

  30. Hogan, P. G., Chen, L., Nardone, J. & Rao, A. Transcriptional regulation by calcium, calcineurin, and NFAT. Genes Dev. 17, 2205–2232 (2003).

    CAS  PubMed  Google Scholar 

  31. Kim, K.-D. et al. Calcium signaling via Orai1 is essential for induction of the nuclear orphan receptor pathway to drive Th17 differentiation. J. Immunol. 192, 110–122 (2014).

    CAS  PubMed  Google Scholar 

  32. Rooney, J. W., Sun, Y. L., Glimcher, L. H. & Hoey, T. Novel NFAT sites that mediate activation of the interleukin-2 promoter in response to T-cell receptor stimulation. Mol. Cell. Biol. 15, 6299–6310 (1995).

    CAS  PubMed  PubMed Central  Google Scholar 

  33. García-Rodríguez, C. & Rao, A. Nuclear factor of activated T cells (NFAT)-dependent transactivation regulated by the coactivators p300/CREB-binding protein (CBP). J. Exp. Med. 187, 2031–2036 (1998).

    PubMed  PubMed Central  Google Scholar 

  34. Oppmann, B. et al. Novel p19 protein engages IL-12p40 to form a cytokine, IL-23, with biological activities similar as well as distinct from IL-12. Immunity 13, 715–725 (2000).

    CAS  PubMed  Google Scholar 

  35. Rogge, L. et al. Transcript imaging of the development of human T helper cells using oligonucleotide arrays. Nat. Genet. 25, 96–101 (2000).

    CAS  PubMed  Google Scholar 

  36. Vang, T. et al. The autoimmune-predisposing variant of lymphoid tyrosine phosphatase favors T helper 1 responses. Hum. Immunol. 74, 574–585 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Spalinger, M. R. et al. Loss of protein tyrosine phosphatase nonreceptor type 22 regulates interferon-γ-induced signaling in human monocytes. Gastroenterology 144, 978–988.e10 (2013).

    CAS  PubMed  Google Scholar 

  38. Xiao, S. et al. Small-molecule RORγt antagonists Inhibit T Helper 17 cell transcriptional network by divergent mechanisms. Immunity 40, 477–489 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Amasaki, Y., Masuda, E. S., Imamura, R., Arai, K. & Arai, N. Distinct NFAT family proteins are involved in the nuclear NFAT-DNA binding complexes from human thymocyte subsets. J. Immunol. 160, 2324–2333 (1998).

    CAS  PubMed  Google Scholar 

  40. Koltsova, E. K. et al. Early growth response 1 and NF-ATc1 act in concert to promote thymocyte development beyond the beta-selection checkpoint. J. Immunol. Baltim. Md 1950 179, 4694–4703 (2007).

    CAS  Google Scholar 

  41. Hodge, M. R. et al. Hyperproliferation and dysregulation of IL-4 expression in NF-ATp-deficient mice. Immunity 4, 397–405 (1996).

    CAS  PubMed  Google Scholar 

  42. Peng, S. L., Gerth, A. J., Ranger, A. M. & Glimcher, L. H. NFATc1 and NFATc2 together control both T and B cell activation and differentiation. Immunity 14, 13–20 (2001).

    CAS  PubMed  Google Scholar 

  43. Zhou, B. et al. Regulation of the murine Nfatc1 gene by NFATc2. J. Biol. Chem. 277, 10704–10711 (2002).

    CAS  PubMed  Google Scholar 

  44. Dietz, L. et al. NFAT1 deficit and NFAT2 deficit attenuate EAE via different mechanisms. Eur. J. Immunol. 45, 1377–1389 (2015).

    CAS  PubMed  Google Scholar 

  45. Reppert, S. et al. NFATc1 deficiency in T cells protects mice from experimental autoimmune encephalomyelitis. Eur. J. Immunol. 45, 1426–1440 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Gomez-Rodriguez, J. et al. Differential expression of interleukin-17A and -17F Is Coupled to T cell receptor signaling via Inducible T cell kinase. Immunity 31, 587–597 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Ghosh, S. et al. Hyperactivation of nuclear factor of activated T cells 1 (NFAT1) in T cells attenuates severity of murine autoimmune encephalomyelitis. Proc. Natl Acad. Sci. USA 107, 15169–15174 (2010).

    ADS  CAS  PubMed  Google Scholar 

  48. Gabriel, C. H. et al. Identification of novel nuclear factor of activated T Cell (NFAT)-associated proteins in T cells. J. Biol. Chem. 291, 24172–24187 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Ebihara, T. et al. Runx3 specifies lineage commitment of innate lymphoid cells. Nat. Immunol. 16, 1124–1133 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Liu, H.-P. et al. TGF-β converts Th1 cells into Th17 cells through stimulation of Runx1 expression. Eur. J. Immunol. 45, 1010–1018 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Lazarevic, V. et al. T-bet represses T(H)17 differentiation by preventing Runx1-mediated activation of the gene encoding RORγt. Nat. Immunol. 12, 96–104 (2011).

    CAS  PubMed  Google Scholar 

  52. Ho, I. C., Hodge, M. R., Rooney, J. W. & Glimcher, L. H. The proto-oncogene c-maf is responsible for tissue-specific expression of interleukin-4. Cell 85, 973–983 (1996).

    CAS  PubMed  Google Scholar 

  53. Ciofani, M. et al. A validated regulatory network for Th17 cell specification. Cell 151, 289–303 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  54. Schraml, B. U. et al. The AP-1 transcription factor Batf controls TH17 differentiation. Nature 460, 405–409 (2009).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  55. Gallo, E. M. et al. Calcineurin sets the bandwidth for discrimination of signals during thymocyte development. Nature 450, 731–735 (2007).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  56. Oukka, M. et al. The transcription factor NFAT4 is involved in the generation and survival of T cells. Immunity 9, 295–304 (1998).

    CAS  PubMed  Google Scholar 

  57. Bevington, S. L., Cauchy, P. & Cockerill, P. N. Chromatin priming elements establish immunological memory in T cells without activating transcription: T cell memory is maintained by DNA elements which stably prime inducible genes without activating steady state transcription. BioEssays. 39, 1600184 (2017).

  58. Agarwal, S. & Rao, A. Modulation of chromatin structure regulates cytokine gene expression during T cell differentiation. Immunity 9, 765–775 (1998).

    CAS  PubMed  Google Scholar 

  59. George, T. C. et al. Quantitative measurement of nuclear translocation events using similarity analysis of multispectral cellular images obtained in flow. J. Immunol. Methods 311, 117–129 (2006).

    CAS  PubMed  Google Scholar 

  60. Maguire, O., O’Loughlin, K. & Minderman, H. Simultaneous assessment of NF-κB/p65 phosphorylation and nuclear localization using imaging flow cytometry. J. Immunol. Methods 423, 3–11 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  61. Lenden Hasse, H. et al. Generation and CRISPR/Cas9 editing of transformed progenitor B cells as a pseudo-physiological system to study DNA repair gene function in V(D)J recombination. J. Immunol. Methods 451, 71–77 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  62. Urrutia, A. et al. Standardized whole-blood transcriptional profiling enables the deconvolution of complex induced immune responses. Cell Rep. 16, 2777–2791 (2016).

    CAS  PubMed  Google Scholar 

Download references


Cell separation was conducted in the Center for Translational Research/Cytometry Biomarkers Unit of Technology and Service (CRT/CB UTechS), Institut Pasteur. Estelle Mottez (CRT/CB UTechS) assisted with the drafting of clinical protocols. We thank O. Kaminuma, F. Berberich-Siebelt and G. Natoli for generously providing expression constructs (see Methods). We are grateful to Helène Strick-Marchand (Innate Immunity Unit, Institut Pasteur) for human hepatocytes lysates. This study was supported by grants from Institut Pasteur, FOREUM Foundation for Research in Rheumatology, the Fondation Arthritis, MSD Avenir (Project iCARE-SpA), and a Bourse Passerelle from Pfizer.

Author information

Authors and Affiliations



H.Y.C. designed and performed experiments, analyzed data, wrote the manuscript; M.R., D.L., T.S. and K.P. performed experiments; C.L. provided reagents, protocols and discussion for CRISPR/Cas9 experiments; J.L. provided key reagents; L.R. designed experiments and analyzed data, E.B. designed and performed experiments, analyzed data, wrote the manuscript.

Corresponding author

Correspondence to Elisabetta Bianchi.

Ethics declarations

Competing interests

The authors declare no competing interests

Additional information

Peer review information Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Source data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Yahia-Cherbal, H., Rybczynska, M., Lovecchio, D. et al. NFAT primes the human RORC locus for RORγt expression in CD4+ T cells. Nat Commun 10, 4698 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing