Abstract
TH17 cells have been extensively investigated in inflammation, autoimmune diseases, and cancer. The precise molecular mechanisms for TH17 cell regulation, however, remain elusive, especially regulation at the post-transcriptional level. Tristetraprolin (TTP) is an RNA-binding protein important for degradation of the mRNAs encoding several proinflammatory cytokines. With newly generated T cell-specific TTP conditional knockout mice (CD4CreTTPf/f), we found that aging CD4CreTTPf/f mice displayed an increase of IL-17A in serum and spontaneously developed chronic skin inflammation along with increased effector TH17 cells in the affected skin. TTP inhibited TH17 cell development and function by promoting IL-17A mRNA degradation. In a DSS-induced colitis model, CD4CreTTPf/f mice displayed severe colitis and had more TH17 cells and serum IL-17A compared with wild-type mice. Furthermore, neutralization of IL-17A reduced the severity of colitis. Our results reveal a new mechanism for regulating TH17 function and TH17-mediated inflammation post-transcriptionally by TTP, suggests that TTP might be a novel therapeutic target for the treatment of TH17-mediated diseases.
Keywords: tristetraprolin, RNA-binding protein, IL-17, mRNA decay, TH17, DSS, colitis
Introduction
TH17 cells play a pivotal role in the pathogeneses of several diseases, including autoimmune arthritis, multiple sclerosis, and inflammatory bowel disease (IBD) (1, 2). Differentiation of TH17 cells requires T-cell receptor (TCR) signals plus transforming growth factor β (TGF-β) and interleukin 6 (IL-6) stimulation. Several transcription factors, including RORγt, Stat3 and interferon-induced factor 4 (IRF-4), have been shown to mediate TH17 cell differentiation (3–7). In addition, IL-23 is essential for TH17 cell survival/expansion and for generation of pathogenic TH17 cells, although initial differentiation of TH17 cells depends on IL-6 and TGF-β stimulation (8). As the signature cytokine produced by TH17 cells, IL-17 contributes to the pathogenesis of TH17-mediated inflammatory diseases, such as psoriasis (9), rheumatoid arthritis (10), and IBD (11, 12), as well as host defense against certain pathogens (13). Therefore, tightly controlling the development and function of TH17 cells is essential for maintaining homeostasis. So far, most studies have focused on transcriptional regulation of TH17 cell differentiation and function; much less is known about how TH17 cells are regulated at the post-transcriptional level.
Tristetraprolin (TTP, also known as TIS11, ZFP36, and Nup475), a CCCH tandem zinc-finger protein (ZFP) coded by gene Zfp36, is involved in the regulation of inflammatory responses at the post-transcriptional level (14). Expression of TTP mRNA and protein is tightly regulated in macrophages under the control of TLR4 and other TLR signaling (15–17). Upregulation of TTP can reduce inflammatory responses in macrophages (18). TTP binds to AREs within the 3′ untranslated region (3′ UTR) of its target transcripts, causing destabilization of the mRNAs encoding tumor necrosis factor α (TNF-α) (19), granulocyte-macrophage colony-stimulating factor (GM-CSF) (20), cyclooxygenase 2 (21), IL-2 (22), IL-10 (23), and the chemokine CXCL1 (24), among others (25). The mRNAs encoding TNF-α and GM-CSF are stabilized in TTP-deficient mice and in cells derived from them (16, 20). Oversecretion of these cytokines in TTP knockout (KO) mice results in a severe systemic inflammatory response including arthritis, autoimmunity, and myeloid hyperplasia (26). We previously demonstrated that TTP inhibits IL-23 expression through promoting p19 mRNA degradation via AREs in the 3′ UTR (27). Molle et al. (28) found similar findings as ours and showed that IL-23 oversecretion in conventional TTP–/– mice causes an increase in TH17 cells, and both IL-23 and IL-17A contribute to the chronic inflammation in conventional TTP–/– mice. Although TTP is one of the best characterized post-transcriptional regulators and ARE binding proteins, it remains largely unclear whether TTP affects T cells, specifically TH17 cell development and function in vivo.
In this study, we generated T cell-specific TTP conditional KO (CD4CreTTPf/f) mice to investigate the effects of TTP on T-cell development and function. Aging CD4CreTTPf/f mice developed spontaneous skin inflammation and displayed an increase in systemic IL-17A and skin TH17 cells. CD4+ T cells lacking TTP were more likely to develop into TH17 cells compared with wild-type (WT) CD4+ T cells. In fact, IL-17 productivity was enhanced in TTP–/– CD4 T cells compared with WT CD4+ T cells at the single-cell level. This increased IL-17 production in TTP–/– CD4+ T cells was mediated by increased IL-17A mRNA stability, demonstrating that TTP promotes the degradation of IL-17A mRNA. Furthermore, the CD4CreTTPf/f mice were prone to DSS-induced colitis with higher levels of serum IL-17A and TH17 cells in mesenteric lymph node (LN) than WT mice. Neutralization of IL-17A reduced the severity of colitis in CD4CreTTPf/f mice. Therefore, our study reveals a novel post-transcriptional pathway through which TTP suppresses the function of TH17 cells.
Results
T Cell-Specific TTP Conditional KO Mice Develop Chronic Skin Inflammation During the Aging Processes
To determine the effects of TTP on T cells, we generated T cell-specific TTP conditional KO mice by crossing TTPflox/flox mice with mice expressing Cre recombinase transgene driven by the CD4 promoter (CD4Cre) (29). Cre recombinase led to deletion of the exon 2 and the 3′ UTR of TTP in both CD4 and CD8 T cells due to CD4/CD8 coexpression transiently in the thymus (30). Exon 2 codes the tandem zinc-finger domain, which is responsible for the RNA-binding activity of TTP. Functional TTP KO specifically in CD4 T cells was evidenced in CD4 T cells lacking TTP expression and in macrophages with normal TTP expression (Supplementary Figure 1A). The percentages of thymic CD4 and CD8 T cells were similar between WT and CD4CreTTPf/f mice (Supplementary Figure 1B), and the numbers of macrophages and dendritic cells (DCs) in spleen were comparable between WT and CD4CreTTPf/f mice (Supplementary Figure 1C). Among most obvious phenotypes of the conventional TTP–/– mice are growth retardation and joint swelling (26). Somewhat surprisingly, the conditional CD4CreTTPf/f mice grew normally, with body weights that were identical to those of their WT littermates and with no signs of joint inflammation (Figure 1A). Enlargement of LNs and spleens was noted in the CD4CreTTPf/f mice (Figure 1B). Although the younger CD4CreTTPf/f mice did not show any signs of chronic inflammation, CD4CreTTPf/f mice started showing evident dermatitis within 10 months of birth, and 80% had dermatitis by 16 months of age (Figure 1C). Histological analysis of the affected skin indicated that the epidermal layer thickness was significantly increased, and more inflammatory cells were present in the affected skin (Figure 1D). Immunofluorescence staining showed an increase in IL-17+CD4+ cells in the skin lesions of CD4CreTTPf/f mice compared to WT mice (Supplementary Figure 1D). Next, we isolated cells from draining LNs of the affected skin and stimulated them with PMA and ionomycin for 4 h, followed by detection of IL-17– and interferon γ (IFN-γ)–producing CD4 T cells by flow cytometry. As shown in Figure 1E, there were higher percentages of IL-17–producing CD4 T cells in the draining LNs of CD4CreTTPf/f mice than in WT mice. When these LN cells were stimulated by anti-CD3 with or without anti-CD28 antibody (Ab), more IL-17A was secreted by LN cells of CD4CreTTPf/f mice than that of WT mice (Figure 1F), suggesting a correlation between IL-17 and the development of dermatitis in the aging CD4CreTTPf/f mice.
T Cell-Specific TTP Conditional KO Mice Have More IL-17–Producing Effector T Cells
T cells, especially TH17 cells, are major producers of IL-17. To test whether TTP affected TH17 cell function, we first checked CD4 T-cell proliferation. The proliferative capacity of CD4 T cells was similar between CD4CreTTPf/f mice and WT mice (Figure 2A). However, CD4+ T cells from CD4CreTTPf/f mice (Figure 2B) and from conventional TTP–/– mice (Supplementary Figure 2A) were more likely to become CD62L– CD44+ effector T cells compared with cells from WT mice, indicating that T cell-specific TTP deficiency leads to CD4 T-cell activation. Indeed, CD4+ T cells from spleens of CD4CreTTPf/f mice secreted higher levels of IL-17A than WT cells (Figures 2C,D). Systemic IL-17A levels were also significantly elevated in CD4CreTTPf/f mice compared with their WT littermates (Figure 2E). Interestingly, the increased serum IL-17A was not manifest until CD4CreTTPf/f mice were older than 16 weeks (Figure 2E). CD4 T cells purified from spleens of the conventional TTP–/– mice also showed a significant increase in IL-17–producing effector CD4 T cells when the mice were older than 8 months of age (Supplementary Figure 2B). In addition, the levels of IL-17 and IL-6 in culture supernatants of CD4+ T cells (Supplementary Figure 2C) and IL-17A in serum (Supplementary Figure 2D) were increased significantly in conventional TTP–/– mice compared with WT mice. These data indicate that TTP plays a role in suppression of IL-17 secretion and in TH17-mediated inflammation in aging mice.
TH17 Cells Lacking TTP Have Increased per Cell Cytokine Productivity
To figure out whether TTP deficiency could enhance TH17 cell differentiation, we differentiated naive CD4 T cells from WT and CD4CreTTPf/f mice into TH1 and TH17 subsets under TH1 and TH17 polarizing conditions and then measured intracellular IFN-γ and IL-17A with flow cytometry. IFN-γ–producing CD4 T cells were comparable between TTP–/– CD4 T cells and WT CD4 T cells under TH0, TH1, and TH17 polarizing conditions (Figure 3A and Supplementary Figure 3A). Surprisingly, even the percentages of differentiated TH17 cells were comparable between TTP–/– CD4 T cells and WT CD4 T cells (Figure 3A and Supplementary Figure 3A); the secretion of IL-17 by TTP–/– CD4 T cells was increased under all conditions (Figure 3B). In addition, when total CD4 T cells from WT and TTP–/– mice were cultured under TH0 and TH17 conditions, there was little increase of IL-17–producing CD4 T cells in cells lacking TTP (Figure 3C and Supplementary Figure 3B). This little increased TTP–/– TH17 cells was in contrast to significantly increased levels of IL-17A produced by the TTP–/– CD4 T cells in culture supernatants (Figure 3D). These data suggest that the increased IL-17 secretion by TTP–/– CD4+ T cells may not be due to an increase in TH17 cell differentiation. Indeed, the mean fluorescence intensity of IL-17A was significantly increased in TTP–/– CD4+ T cells compared with WT cells under TH17 differentiation conditions (Figure 3E), indicating that each TTP–/– CD4+ T cell produces much more IL-17A protein than WT cells. In addition, TTP–/– CD4+ T cells polarized under TH17 and TH1 conditions expressed more IL-17 and IL-6 mRNA than WT cells, whereas IFN-γ mRNA expression was no difference (Figure 3F and Supplementary Figures 4A,B). Compared to WT cells, the expression of the TH17 cell master transcription factor RORγt was decreased, Stat3 increased and Tbx21 mRNA kept no change in TTP–/– CD4 T cells under either TH17 or TH1 skewing conditions (Figure 3F and Supplementary Figure 4B), further supporting that TH17 cell differentiation is not enhanced in CD4 T cells lacking TTP. Overall, these data indicate that the increased IL-17 secretion in TTP–/– CD4+ T cells is due mainly to an enhanced synthesis of IL-17 at the single-cell level.
TTP Controls the Effector Function of TH17 Cells by Reducing IL-17A mRNA Stability
To explore the mechanisms of TTP-mediated inhibition of IL-17A, we measured and compared IL-17 mRNA stability between WT and TTP–/– TH17 cells. As shown in Figure 4A, the half-life of IL-17A mRNA was increased from 36 min in WT TH17 cells to 115 min in TTP–/– TH17 cells. The half-lives of IL-10 and IFN-γ mRNAs were also increased in TTP–/– TH17 cells compared to WT cells, whereas the TGF-β mRNA half-life remained similar (Figure 4A). In addition, the steady-state levels of IL-17A and TNF-α mRNA were also increased in TTP–/– CD4 T cells in response to TCR and costimulatory signals (Supplementary Figure 5A). The mRNA half-lives of transcription factors important for TH17 cell development, such as IRF4 and IRF8, were actually decreased in TTP–/– TH17 cells compared with WT cells (Supplementary Figures 5B,C), further indicating that TTP has minimal effects on TH17 cell differentiation. To further confirm the inhibitory effects of TTP on IL-17A, we introduced TTP by adenoviral transduction into Jurkat T cells and found that overexpression of TTP inhibited the expression of IL-17A mRNA (Figure 4B). To determine whether IL-17A 3′ UTR mediated the IL-17 inhibition, we cloned the 3′ UTR of IL-17A mRNA downstream of luciferase gene and cotransfected a TTP expression vector with the IL-17A–3′ UTR luciferase-reporter construct into HEK293 cells, followed by measuring luciferase activity. TTP inhibited IL-17A–3′ UTR–mediated luciferase activity (Figure 4C), indicating that TTP promotes IL-17A mRNA degradation through its 3′ UTR. TTP is a ZFP containing a CCCH tandem zinc-finger domain. Zinc fingers of this type have been found in many RNA-binding proteins and are responsible for binding to the 3′ UTRs of target mRNAs. To determine whether these zinc fingers were responsible for TTP inhibition of IL-17A secretion, we cotransfected WT TTP, or two TTP zinc-finger mutants (TTPΔC124R and TTPΔC147R), with the IL-17A-3′ UTR–luciferase-reporter plasmid into HEK293 cells, followed by measuring luciferase activity. As shown in Figure 4D, the C147R TTP mutant lost its suppressive effect on IL-17A-3′ UTR–regulated luciferase activity, whereas the C124R mutant retained luciferase suppressive activity. These data suggest that TTP via zinc finger promotes IL-17A mRNA degradation, resulting in inhibition of IL-17 secretion by CD4 T cells.
T Cell-Specific TTP Conditional KO Mice Are Prone to DSS-Induced Intestinal Inflammation
TH17 cells and IL-17 play important roles in intestinal inflammation (25, 26). DSS administration is commonly used to generate an acute mouse model of IBD. We used this model to determine the role of TTP in TH17-mediated intestinal inflammation. We fed WT and CD4CreTTPf/f mice DSS-containing water and found that the CD4CreTTPf/f mice displayed severe colitis compared with WT mice. Specifically, the CD4CreTTPf/f mice developed significantly greater weight loss and severe bloody diarrhea than the WT mice (Figures 5A,B). All CD4CreTTPf/f mice died due to severe colitis by 8 days after drinking DSS water, whereas 80% of WT mice survived (Figure 5C). Colon lengths were also greatly shortened in CD4CreTTPf/f mice compared with WT mice (Figures 5D,E). Histological analysis showed more severe tissue damage and more infiltrating inflammatory cells in the colons from DSS-treated CD4CreTTPf/f mice compared with WT mice (Figures 5F,G). These results indicate that T cell-specific TTP KO mice are vulnerable to DSS-induced colitis.
IL-17 Mediates the DSS-Induced Colitis in T Cell-Specific TTP Conditional KO Mice
To determine whether IL-17 is responsible for the DSS-induced colitis in this model, we measured IL-17 levels in serum of the CD4CreTTPf/f mice and control WT mice fed DSS-containing water. Serum levels of IL-17A were higher in both WT and CD4CreTTPf/f mice fed DSS water than in those without DSS, with even greater IL-17A levels in the CD4CreTTPf/f mice (Figure 6A). Next, we analyzed CD4 T-cell subsets and found a significant increase in IL-17A–producing CD4+ cells from the mesenteric LNs (MLNs) of CD4CreTTPf/f mice compared to WT mice, whereas the frequency of IFN-γ–producing CD4+ T cells was comparable (Figures 6B,C), further suggesting that IL-17 produced by the TH17 cells may contribute to the colitis in CD4CreTTPf/f mice. To confirm a causal relationship between IL-17 and colitis, we administered a neutralizing Ab specifically directed against IL-17A to CD4CreTTPf/f mice fed DSS-water and then closely monitored their body weights. The CD4CreTTPf/f mice receiving IL-17A neutralizing Ab showed significantly less body weight loss (Figure 6D) and had longer colons (Figure 6E) than the mice receiving control immunoglobulin G (IgG). Histological analysis also showed reduced intestinal inflammation and more intact structure in the colons of CD4CreTTPf/f mice given IL-17A neutralizing Ab (Figures 6F,G). These results demonstrate that IL-17 produced by TH17 cells contributes, at least partially, to the pathogenesis of DSS-induced colitis in CD4CreTTPf/f mice.
Discussion
TH17 cells play important roles in chronic inflammation. Excessive TH17 cell development and IL-17 production are associated with the pathogenesis of several diseases, including autoimmune arthritis, multiple sclerosis, and IBD (31, 32). So far, most studies have focused on the development of TH17 cells and their transcriptional regulation by key transcription factors. Relatively little is known about how TH17 cells are regulated at the post-transcriptional level. In this study, we have demonstrated that the RNA-binding protein TTP negatively regulates TH17 cell function at the post-transcriptional level by enhancing degradation of the IL-17 mRNA. It has been reported that conventional TTP–/– mice develop a severe inflammatory syndrome with elevated levels of circulating inflammatory cytokines due to increased mRNA stability (22, 27, 28, 33–40), demonstrating that TTP is an important regulator for control of inflammatory responses. In order to evaluate the role of TTP in regulation of T-cell development and function, we generated CD4-specifc TTP conditional KO mice. The CD4CreTTPf/f mice exhibited different phenotypes from conventional TTP–/– mice. One obvious difference was that the CD4CreTTPf/f mice appeared to undergo normal growth, whereas the conventional TTP–/– mice had retarded growth (Figure 1A). Another difference in the CD4CreTTPf/f mice was the lack of the early onset and severe inflammatory arthritis universally seen in the conventional TTP–/– mice (26). Although younger CD4CreTTPf/f mice appeared normal, they did develop atopic dermatitis and had elevated skin TH17 cells and serum levels of IL-17A when they aged past 5–8 months. Frasca et al. (41) showed that TTP levels were higher in activated B cells from old mice as compared with young mice. These data suggest that TTP plays a role in controlling lymphocyte activation and chronic inflammation during the aging processes.
The spontaneous chronic inflammation in conventional TTP–/– mice is considered to be at least partly TNF-α dependent, as TNF mRNA was stabilized in TTP–/– macrophages after stimulation with lipopolysaccharide (16, 30), and treatment of the conventional TTP KO mice with Abs to TNF-α (26), or breeding to TNF-α receptor–deficient mice (15), prevented development of the inflammatory syndrome. However, specific deletion of TTP in myeloid cells did not recapitulate the phenotypes of conventional TTP–/– mice (30), indicating the involvement of other cell types in the development of the inflammatory syndromes. Indeed, we found that both CD4+ and CD8+ T cells (Supplementary Figure 6) in the T cell-specific TTP-deficient mice produced much higher levels of IL-17A compared with the cells of WT mice. The increased IL-17A along with spontaneous dermatitis development in old CD4CreTTPf/f mice demonstrates a role for TTP in regulating T cell-mediated inflammation. Studies from our laboratory and others show that TTP targets IL-23 and IL-6 mRNA for degradation (27, 34, 36, 37). Because both cytokines are important for TH17 cell differentiation, these collective results suggest that TTP may affect the development of TH17 cells. Surprisingly, several key transcription factors important for TH17 cell differentiation, such as RORγt, IRF4, IRF8, were not increased in TTP–/– TH17 cells, indicating that TTP may affect TH17 cell function rather than TH17 cell development. Indeed, TTP–/– TH17 cells produced more IL-17A than WT TH17 cells at the single-cell level (Figures 3A–E), and the IL-17 mRNA stability was increased in TTP–/– TH17 cells (Figure 4A). Our results indicate that TTP negatively regulates TH17 cell function by promoting mRNA degradation of its signature cytokine IL-17. IFN-γ might also play a role in the development of skin inflammation in aged CD4CreTTPf/f mice, as the levels of IFN-γ were also increased in the TH0 and TH17 cells lacking TTP (Figure 3A), which is consistent with a previous report that TTP promotes IFN-γ mRNA degradation (35). Molle et al. (28) reported that IL-17 is involved in the generation of joint inflammation in conventional TTP–/– mice, as deletion of IL-17 in TTP–/– mice ameliorates the inflammation. They also reported that the differentiation of TH17 cells from naive CD4 T cells lacking TTP was normal (28), which is in line with our observation. These data together suggest that TTP regulates TH17 cell function by targeting IL-17 mRNA stability, without directly affecting TH17 cell differentiation.
Signaling through many TLRs and other environmental stimuli can induce TTP expression in macrophages, which in turn prevents excessive cytokine production and inflammation. TTP suppresses the expression of proinflammatory cytokines by binding directly to AREs in the 3′ UTR of their mRNAs, leading to their deadenylation and decay. In primary CD4 T cells, TTP inhibits IL-17 expression by directly promoting mRNA degradation via the IL-17 3′ UTR (Figures 4A,C). Using human T-cell line HuT102 and Jurkat cells, Lee et al. (42) reported that TTP bound to several AREs in the 3′ UTR of IL-17 mRNA for degradation of human IL-17 transcript. These data suggest that TTP regulates the expression of macrophage cytokines and T-cell cytokines through similar mechanisms. It is known that TTP regulates targeted gene expression through several mechanisms, such as mRNA localization or translation efficiency or other RNA modifications in addition to mRNA stabilization (25, 43). These mechanisms may also contribute to IL-17 regulation by TTP in T cells.
IBDs in human are characterized by chronic intestinal inflammation mediated by several factors. Both protective and pathogenic functions of IL-17 have been reported in different experimental models of colitis. Adoptive transfer of IL-17–/– CD45RBhi T cells into RAG–/– recipient mice induced a more severe wasting disease compared with WT counterparts (44). In contrast, IL-17 deficiency resulted in resistance to dextran sulfate sodium–induced colitis in mice, indicating a pathogenic role of IL-17 in intestinal inflammation (12). Our data show increased IL-17 in CD4CreTTPf/f mice, along with accelerated wasting disease compared with WT littermates. It has been reported that neutralizing IL-17 activity enhanced the development of DSS-colitis in WT mice (45). Therefore, we focused our study on whether IL-17 in the CD4 conditional TTP KO mice played a role in DSS-induced colitis by administering IL-17 neutralization Ab only to KO mice. As shown in Figure 6D, neutralizing IL-17 reduced the severity of wasting disease, supporting a pathogenic role for IL-17 in intestinal inflammation observed in the CD4CreTTPf/f mice. Notably, although neutralization of IL-17 reduced DSS-induced colitis, mice still developed significant weight loss. This suggests that other factors regulated by TTP may also contribute to DSS-colitis in the T cell-specific TTP conditional KO mice. Although CD4cre is broadly used to generating conditional gene targeting in CD4 T cells, several types of cells express CD4, including thymic CD8, CD4-expressing DCs, and monocytes. Therefore, the phenotypes observed in the CD4CreTTPf/f mice may be mediated by several types of cells. TNF-α is known to be important in the pathogenesis of intestinal inflammation. TNF-α expression was indeed higher in TTP–/– TH17 cells than WT TH17 cells (Supplementary Figure 4B). TNF expression in TTP–/–TH17 cells may also contribute to the DSS-induced colitis in the CD4CreTTPf/f mice. IL-6 could be involved, because TTP deficiency also led to increased IL-6 in the serum of CD4 T cell-specific TTP KO mice (Figure 3F and Supplementary Figure 4A). More study is needed to further investigate the roles of IL-6 and other players in the pathogenesis of intestinal inflammation mediated by TTP. TH17 cell-produced GM-CSF plays an essential role in autoimmune inflammation (such as encephalitis) mediated mainly by a positive feedback loop between GM-CSF secreted by TH17 cells and the production of IL-23 by antigen-presenting cells (46, 47). We recently report that GM-CSF–producing CD4 T cells may be a unique subset of T helper cells, namely, TH-GF-CSF, important for T cell-mediated inflammation (48). GM-CSF has been reported to mediate intestine inflammation (49). Considering TTP mediates GM-CSF expression (20), it is possible that GM-CSF may also contribute to the phenotypes in the CD4CreTTPf/f mice.
In summary, our results reveal a new mechanism for regulating TH17 function and TH17-mediated inflammation, through post-transcriptional regulation of IL-17 mRNA decay by TTP, suggesting that TTP might be a novel therapeutic target for treatment of the TH17-mediated diseases.
Materials and Methods
Mice
CD4CreTTPf/f mice were obtained by crossing mice expressing Cre recombinase under the control of the murine CD4 promoter (CD4Cre) mice purchased from the Jackson Laboratory (Bar Harbor, ME, United States) (29) with the previously described TTPflox/flox mice (30). All mice were on the C57BL/6 background and were bred at the animal facility of Saint Louis University. Animal experiments were approved by the Institutional Animal Care and Use Committee at Saint Louis University and were performed according to federal and institutional guidelines.
Cell Lines
Jurkat cells were purchased from ATCC and cultured in RPMI-1640 with 10% (vol/vol) fetal calf serum (Sigma, St. Louis, MO, United States; endotoxin NMT 10.0 EU/mL) supplemented with 2 mM glutamine and 100 units/mL of penicillin and streptomycin (Sigma). HEK293T cells were purchased from ATCC and cultured in Dulbecco modified eagle medium (4.5 g/L) with 10% (vol/vol) fetal calf serum and 100 units/mL of penicillin and streptomycin purchased from Sigma as described above.
Antibodies and Flow Cytometry
The following Abs were purchased from BD Biosciences: anti-CD3-APC (clone 145-2C11), anti–CD4-PE (clone H129.19), anti–CD8-PE (clone 53-6.7), anti–CD4-PerCP (clone RM4-5), anti–CD44-FITC (clone IM7). For intracellular staining of cytokines, cells were stimulated for 4 h with PMA (phorbol 12-myristate 13-acetate; 50 ng/mL; Sigma) and ionomycin (0.5 μg/mL; Sigma) in the presence of Monensin (GolgiStop; 0.7 μL/mL; BD Biosciences) for 4 h and then fixed and permeabilized for intracellular cytokine testing according to the manufacturer’s instructions (BD Biosciences). Antibodies used were as follows: anti-IFN-γ–APC (clone XMG1.2), anti–IL-17A–PE (clone TC11-18H10.1), anti–IL-17A–AF488 (clone TC11-18H10.1), anti-IFN-γ–AF700 (clone XMG1.2), from BD Biosciences. Cells were analyzed on a FACSCanto II or FACS LSR II (BD), and data were analyzed with FlowJo software (TreeStar).
T-Cell Stimulation and Differentiation
CD4+ T cells, purified using the DynaBeads FlowComp mouse CD4 kit (Invitrogen) or EasySep Mouse Naive CD4+ T Cell Iso Kit (Stemcell), were activated by plate-coated anti-CD3 (1 μg/mL; 145-2C11; Biolegend) and anti-CD28 (1 μg/mL; 37.51; Biolegend) Abs for 72 h in complete cell culture medium (RPMI 1640) supplemented with 10% heat-inactivated fetal calf serum, 2 mM L-glutamine, penicillin–streptomycin, non-essential amino acids, sodium pyruvate, 10 mM HEPES, and 50 μM 2-mercaptoethanol. Supernatants were collected for measuring cytokines by enzyme-linked immunosorbent assay (ELISA) (BD Bioscience). For in vitro T-cell differentiation, CD4+ T cells were activated with plate-coated anti-CD3 (2 μg/mL) and anti-CD28 (2 μg/mL) Abs under the following conditions: for TH1: anti-IL-4 20 μg/mL (11B11; BD), IL-12 10 U/mL (Peprotech); for TH17: IL-6 50 ng/mL (Peprotech), TGF-β 1 ng/mL (Peprotech), IL-23 20 ng/mL (Peprotech), anti-IL-4 10 μg/mL (11B11; BD), and anti-IFN-γ 10 μg/mL (XMG1.2; BD). Cells were cultured for 4 days before activated with PMA (50 ng/mL; Sigma) and ionomycin (0.5 μg/mL; Sigma) for 4 h for analysis of cytokines and surface markers with flow cytometry.
Plasmid Constructs
Full-length 3′ UTR of murine IL-17A was retrieved from the website AREsite (Universitat Wien). A 656-bp fragment of the mouse IL-17A 3′ UTR amplified from cDNA of mouse T cells was cloned downstream of the luciferase gene in pGL3 control vector (Promega) between XbaI and FseI sites. Luciferase-reporter gene expression is driven by SV40 promoter and has been used by us and others to study mRNA stability controlled by downstream inserted 3′ UTR or siRNA (27, 50–54). WT TTP and two mutant TTP plasmids were generated in Perry Blackshear’s laboratory (55).
Luciferase Assay
Transient transfections were performed by electroporation. Briefly, for each condition 0.4 mL of HEK293T-cell suspension containing 1 × 107 cells was mixed with 3 μg of total DNA (including reporter, effector, internal control, and carrier DNA) and electroporated in 0.45-cm electroporation cuvettes (Gene Pulser II; Bio-Rad Laboratories, Hercules, CA, United States) at 975 microfarade and 300 V in RPMI 1640 medium without serum. The transfected cells from different cuvettes were resuspended in RPMI 1640 containing 10% fetal bovine serum (FBS), 2 mM glutamine, 10 μM chloroquine, and antibiotics and were added to 24-well plates and incubated for 40 h prior to harvesting. To measure luciferase activity, cells were pelleted by centrifugation and resuspended in 100 μL of lysis buffer containing 125 mM Tris-phosphate pH 7.8; 10 mM DTT; 10 mM 1-2-diaminocyclohexane-tetraacetic acid; 50% glycerol; and 5% Triton-X100. Luciferase activity was measured in cell lysates with Luciferase Reporter Assay system (Promega). Transfection efficiency was routinely monitored by β-galactosidase (β-gal) assay by cotransfection with 3 μg of pCMV-β-gal plasmid. Variability in β-gal activity between samples was typically within 5%. Lysates were used for both luciferase and β-gal assays.
Quantitative Reverse Transcription–Polymerase Chain Reaction
Total RNA was extracted using TRIzol (Invitrogen, Life Technologies). Reverse transcription (RT) reactions were carried out as follows: 1-μg aliquots of total RNA were mixed with 1 μL oligo dT primers (0.5 mg/mL), 1 μL 10 mM dNTPs, and ddH2O to equalize volumes of all samples at 12 μL. The mixture was heated at 65°C for 5 min, quenched on ice, spun down briefly, and 8 μL of a Master Mix was added. The RT Master Mix consisted of 4 μL 5 × first-strand buffer (Invitrogen), 2 μL 0.1 M DTT, 1 μL RNase inhibitor (40 U/μL; Invitrogen), and 1 μL Superscript II (200 μL/μL, Invitrogen). The reaction was incubated at 42°C for 60 min and then at 70°C for 15 min, followed by 4°C soak. To each sample (in 20 μL total volume), 80 μL ddH2O was added; 5 μL diluted cDNA was used for each polymerase chain reaction (PCR) reaction of 25 μL volume. PCR was performed using two-step qRT-PCR with SYBR green (Invitrogen, Life Technologies) with ABI Prism 7700 Sequence detector/Real Time PCR machine. Results were analyzed using ΔΔCT method with glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as an endogenous reference control. Primers for specific murine targets were as follows: Ifn-γ, forward, 5′-CCATCCTTTTGCCAGTTCCTC-3′, and reverse, 5′-ATGAACGCTACAC ACTGCATC-3′; Il17a, forward, 5′-CTCCAGAAGGCCCTCAGACTAC-3′, and reverse, 5′-GG GTCTTCATTGCGGTGG-3′; Tgfb, forward, 5′-TAAGAGGTC ACCCGCGTGCT-3′, and reverse, 5′-AAAGACAGCCACTC AGGCGTA-3′; Rorc, forward, 5′-AAGATCTGCAGCTTT TCCACA-3′, and reverse, 5′-TTTGGAACTGGCTTTCCATC-3′; Stat3, forward, 5′-CAGACTGGTTGTTTCCATTCAGAT-3′, and reverse, 5′-ACCCAACAGCCGCCGTAG-3′; Tbx21, forward, 5′-ATGCGTACATGGACTCAAAGTT-3″, and reverse, 5′-TTT CCAA GAGACCCAGTTCATTG-3′; Il6, forward, 5′-GGAAATT GGGGTAGGAAGGA-3′, and reverse, 5′-TGTGCAATGGCAA TTCTGAT-3′; GAPDH, forward, 5′-TGGCCTACATGGCCT CCA-3′, and reverse, 5′-TCCCTAGGCCCCTCCTGTTAT-3′.
mRNA Stability
CD4+ T cells were cultured under TH17 polarization conditions before adding actinomycin D (5 μg/mL; Sigma) and 5,6-dichlorobenzimidazole riboside (DRB) (10 μg/mL; Sigma), and then total RNAs collected at different times. cDNAs were used to measure the remaining mRNA for calculating the half-life of each mRNA as described previously (27, 56, 57). In brief, the half-lives of mRNAs were calculated separately in WT and TTP KO cells and then compared. The remaining levels of mRNAs at 30, 60, 90, and 120 min after blocking de novo RNA synthesis with ActD/DRB were first normalized to housekeeping GAPDH at each time point and then calculated against the levels of mRNAs at t = 0, which was set as 100%.
Enzyme-Linked Immunosorbent Assays
Serum from blood of WT and KO mice treated with or without DSS, as well as supernatants from CD4 T cells, was harvested at described in the text and stored at −70°C. Mouse IL-17 was detected using ELISA MAXTM Deluxe Set Mouse IL-17A kit (Biolegend) according to the manufacturer’s instructions. Concentrations were calculated by regression analysis of a standard curve.
Western Blotting
Cells were lysed in RIPA buffer for 30 min on ice. Protein lysates (25 μg) were loaded on a 10% sodium dodecyl sulfate–polyacrylamide gel electrophoresis. Gels were transferred to nitrocellulose membrane and blocked in 5% non-fat milk in Tris buffer, pH 8.0, at room temperature for 2 h. The membrane was blotted with anti-TTP Primary Ab (clone 3A2; 1 mg/mL; Santa Cruz Biotechnology) in Tris buffer containing 5% milk powder and left overnight at 4°C. After extensive washing, blots were subjected to horseradish peroxidase–conjugated sheep anti-mouse Ig secondary Ab at a 1:5,000 dilution in 5% milk and then detected with enhanced chemiluminescence detection (PerkinElmer Life Sciences Inc., Boston, MA, United States).
DSS Colitis Model
Colitis was induced in mice with drinking water containing 2.5% DSS (MP Biomedicals) for 5 days and then replaced with normal water. Mice were monitored for weight changes, diarrhea, bloody stools, and overall health. Mice were removed from the study when their body weight loss exceeded 25% of their original body weight and counted as death.
Histologic Colitis Assessment and Colon Length
The entire colon was removed from cecum to anus, measured, and fixed in 10% neutral-buffered formalin. Five-micrometer-thick sections were stained with hematoxylin and eosin for microscopic examination. Histological scores were assigned by a pathologist blinded to the experimental groups based on the extent and severity of inflammation, ulceration, and hyperplasia of the mucosa. The final score was calculated as the sum of individual factors, multiplied by the extent of tissue involvement. Severity scores for inflammation were as follows: 0 = normal (within normal limits), 1 = mild (small, focal, or widely separated, limited to lamina propria), 2 = moderate (multifocal or locally extensive, extending to submucosa), and 3 = severe (transmural inflammation with ulcers covering >20 crypts). Multiplied factors as extent of lesions were as follows: 0 = normal (0% involvement), 1 = up to 25% involvement, 2 = 25–50% involvement, 3 = over 51–50% involvement, and 4 = over 76–100% involvement. Spleen and MLNs were mechanically dissociated, and red cells were lysed in ACK lysis buffer. Cell suspensions were washed, enumerated, and stored in RPMI 1640 containing 10% FBS (Cellgro, Herndon, VA, United States) on ice until used.
Statistical Analysis
Data were analyzed with Prism software 5.0 (GraphPad). For standard data sets, data were shown as mean ± SD, and an unpaired two-tailed Student’s t-test was used. For multiple groups, one-way analysis of variance was used. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001 between indicated groups.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The animal study was reviewed and approved by Institutional Animal Care and Use Committee at the Saint Louis University.
Author Contributions
JLi contributed to the concept and design and study supervision. JLi, HN, and HP contributed to the development of the methodology. DS, PB, HN, HP, and QW contributed to acquisition of the data (provided animals, plasmids and reagents, etc.). JL, HN, JLa, LW, and HP contributed to analysis and interpretation of the data (e.g., statistical analysis, biostatistics, and computational analysis). JL, HP, DH, MF, and RH contributed to writing, review, and revision of the manuscript. PB contributed to administrative, technical, and material support (reporting or organizing data and construction database). All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We thank Dr. Huabao Xiong from the Icahn School of Medicine at Mount Sinai for providing the DSS. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Funding. This work was supported by the National Cancer Institute of the National Institutes of Health under Award Number R01CA163808 (JLi), and also supported in part by the Intramural Research Program of the National Institute of Environmental Health Sciences, NIH (DS and PB).
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2020.01952/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.