Abstract
Smad and STAT proteins are critical signal transducers and transcription factors in controlling cell growth and tumorigenesis. Here we report that the STAT3 signaling pathway attenuates transforming growth factor-β (TGF-β)-induced responses through a direct Smad3–STAT3 interplay. Activated STAT3 blunts TGF-β-mediated signaling. Depletion of STAT3 promotes TGF-β-mediated transcriptional and physiological responses, including cell cycle arrest, apoptosis and epithelial-to-mesenchymal transition. STAT3 directly interacts with Smad3 in vivo and in vitro, resulting in attenuation of the Smad3–Smad4 complex formation and suppression of DNA-binding ability of Smad3. The N-terminal region of DNA-binding domain of STAT3 is responsible for the STAT3–Smad3 interaction and also indispensable for STAT3-mediated inhibition of TGF-β signaling. Thus, our finding illustrates a direct crosstalk between the STAT3 and Smad3 signaling pathways that may contribute to tumor development and inflammation.
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Introduction
Transforming growth factor-β (TGF-β) is a multifunctional cytokine that regulates diverse cellular responses, including apoptosis, cell growth inhibition and immune surveillance.1, 2, 3 Owing to its potent tumor-suppressive effects, the TGF-β signaling pathway is often inactivated in numerous cancers such as colon, pancreatic and gastric cancers, yet such somatic mutations are rare in other cancers such as breast, prostate and skin cancers.4, 5, 6, 7 Because loss of TGF-β responses is common in all types of cancers, there are alternative mechanisms underlying TGF-β resistance in those cancer types without somatic mutations in the TGF-β pathway. Recent progress suggests that activation of oncogenes can suppress a TGF-β growth inhibitory response.8, 9, 10, 11
TGF-β signals through a heteromeric complex of cell-surface serine–threonine kinase receptors, that is TβRI and TβRII, and intracellular signal transducers Smad2 and Smad3. In response to TGF-β ligands, TβRII transphosphorylates TβRI, which in turn mediates phosphorylation of Smad2 and Smad3. Phosphorylated (activated) Smad2/3 associates with Smad4, and translocates to the nucleus to regulate gene expression.3, 12 Each step of this signal transduction pathway can be regulated by a variety of intracellular factors.13 For example, Erk MAP kinase-dependent phosphorylation of the linker region impairs Smad3 nuclear accumulation.14 In the nucleus, many transcription factors interact with R-Smads to modulate the final gene transcription output.15, 16 The majority of these cooperative partners are also components of other signaling pathways. For example, FAST1/2 and c-Jun/c-Fos cooperate with Smad2–Smad417, 18 and Smad3–Smad4 complexes,19 respectively, to regulate transcription. The cooperative or antagonistic interactions of Smads with other transcriptional factors depend on the physiological contexts and therefore dictate the final physiological outputs.
STAT3 is a common downstream effector of some cytokines overwhelmingly expressed in the tumor environment such as interleukin (IL)-6, IL-11 and vascular endothelial growth factor.20 Moreover, STAT3 is also a critical mediator of epidermal growth factor receptor signaling, which is aberrantly activated in various tumors.20 Therefore, STAT3 is a point of convergence for numerous oncogenic signaling pathways, and this makes it a potential candidate to modulate TGF-β signaling in tumor progression. Several earlier studies have demonstrated two-way interplays between STAT3 and TGF-β signaling pathways. For instance, STAT3 can promote TGF-β1 expression to enhance hepatic fibrosis in hepatocellular carcinoma development;21 activated STAT3 also induces Smad7 expression to desensitize TGF-β signaling.22 TGF-β conversely inhibits IL-6-mediated STAT3 activation and affects its target gene expression.23, 24 Smads can also attenuate the STAT3-mediated pathway by inhibiting its DNA-binding ability and cooperation with p300.25 However, many of these reports are conflicting and the underlying mechanisms behind these observations have not been elucidated.
In this study, we identified and characterized a direct interaction between STAT3 and Smad3. Cellular and molecular evidence lead to the conclusion that the STAT3–Smad3 interaction contributes to STAT3-mediated inhibition of TGF-β signaling. These findings elucidate a novel mechanism underlying the crosstalk between TGF-β antiproliferative signaling and STAT3-dependent growth-promoting signaling pathways.
Results
STAT3 is essential for EGF/IL-6-mediated desensitization of the TGF-β responses
TGF-β and epidermal growth factor (EGF) signaling pathways are both independently implicated as key regulators in tumor formation and progression. Previous studies have shown that EGF may exert as an antagonist of TGF-β signaling in several cellular contexts,26, 27 implying a potential crosstalk between these two signaling pathways. To elucidate mechanisms underlying EGF-mediated regulation of TGF-β signaling, we firstly investigated and confirmed the inhibitory effect of EGF in HaCaT cells. HaCaT is a human keratinocyte cell line that is highly responsive to TGF-β. A Smad3-dependent luciferase reporter CAGA-Luc containing 12 copies of Smad-binding elements (SBE) was transiently transfected into HaCaT cells to quantitatively determine TGF-β signaling sensitivity. Notably, TGF-β-activated stimulation of CAGA-Luc activity was significantly reduced in cells treated with EGF (Figure 1a). This inhibitory effect of EGF on TGF-β signaling is not restricted to HaCaT cells, as EGF exerted a consistently inhibitory role in human hepatoma HepG2 cells (Figure 1b). It was known that IL-6 and EGF stimulate similar downstream signaling pathways such as the JAK/STAT and Ras/MEK/ERK pathways. Aberrant IL-6/gp130 signaling also causes the desensitization of TGF-β signaling in the gastric epithelium.22 Thus, we also examined the effect of IL-6 on TGF-β signaling. Results showed that similarly to EGF, IL-6 decreased TGF-β-meditated CAGA-Luc expression (Figure 1b).
The Ras–MAPK pathway, one of the most documented pathways activated by EGF, has been implicated in modulating Smad activation.14 To examine whether this pathway was solely involved in EGF-mediated desensitization of TGF-β signaling, we used a pharmacological inhibitor PD98059 to block MEK activity. PD98059 was not able to block EGF-mediated inhibition of TGF-β-induced SBE-Luc reporter activity (Figure 1c), suggesting that the desensitization of TGF-β pathway by EGF is not through the MEK/ERK signaling.
Another important downstream signaling stimulated by EGF was the JAK/STAT pathway. It has been shown that sustained STAT3 activation results in the inhibition of TGF-β signaling.22 Therefore, we speculated whether STAT3 was involved in EGF-mediated desensitization of TGF-β responses. We established a HaCaT cell line with stable STAT3 knockdown (STAT3-KD) and investigated the effect of STAT3 depletion on TGF-β-induced responses. The protein levels of STAT3 were efficiently reduced in STAT3-KD cells (Figure 1d). Stable knockdown of STAT3 increased TGF-β-activated CAGA-Luc activity and impaired the inhibitory effects of EGF stimulation (Figure 1e). More apparent attenuation of TGF-β response by IL-6 was observed when the TGF-β-induced mRNA level of target p21 was analyzed, and furthermore this attenuation was lost when STAT3 was knocked down (Figure 1f). Similar result was obtained by using transient tranfection. Two sequence-specific siRNAs against STAT3, which could effectively reduce STAT3 protein levels (data not shown), enhanced TGF-β-induced PAI-1 mRNA expression, and partially diminished IL-6-mediated inhibition (Figure 1g). Taken together, these results demonstrate that EGF/IL-6-mediated suppression of TGF-β pathway is dependent of STAT3.
Activated STAT3 suppresses TGF-β-induced growth inhibitory responses
After having shown that STAT3 is involved in EGF/IL-6-mediated inhibition of TGF-β signaling, we next set out to examine the effect of activated STAT3 on TGF-β-induced responses. STAT3 or its two variants was transiently transfected into TGF-β-responsive HaCaT cells. While STAT3C is a constitutively active mutant of STAT3 and can mimic the aberrant STAT3 activation in cancer cells,22 STAT3DN harbors a Y705F mutation that acts as a dominant-negative mutant.22 As shown in Figure 2a, STAT3C strongly decreased TGF-β-activated CAGA-Luc activity in a dose-dependent manner in HaCaT cells. In contrast, STAT3 wild type (WT) had a very weak inhibition, and STATDN has no inhibition at all on TGF-β signaling. Because TGF-β is a potent inhibitor of cell proliferation by arresting epithelial cells in the G1 phase, we reasoned that STAT3 would desensitize cells to TGF-β-mediated growth inhibition. We established a HaCaT cell line to stably express STAT3C, and then determined the expression level of STAT3C which was found to be comparable to that of endogenous STAT3 (Figure 2b). As key effectors and indicators for TGF-β-mediated cell cycle arrest, induction of CDK inhibitors p15 and p21 was evaluated in HaCaT-STAT3C cells. While TGF-β induced 11- and 4-fold increase in p15 and p21 mRNA levels, respectively, STAT3C clearly attenuated this TGF-β-dependent transcriptional induction (Figures 2c and d). Analysis of protein levels also supported the suppressing effect of STAT3C on TGF-β-dependent p15 and p21 induction (Figure 2e). In accordance, expression of STAT3C caused a decrease in the G1 phase of the cell cycle, accompanied by an increase in the S phase, when the TGF-β response were compared in HaCaT-STAT3C cells vs control cells (Figure 2f). Consistently, STAT3C decreased the activity of TGF-β to suppress proliferation of HaCaT cells (Figure 2g).
Loss of STAT3 enhances TGF-β-induced physiological responses
To elucidate the physiological functions of endogenous STAT3 in regulating TGF-β signaling, we examined the effect of STAT3 depletion on TGF-β responses in HaCaT cells. We found that shRNA-mediated stable knockdown of STAT3 expression resulted in a significant increase in the TGF-β-induced mRNA levels of p15 (Figure 3a) and p21 (Figure 3b). TGF-β-induced protein level of p15 was similarly enhanced by STAT3 depletion (Figure 3c). In supporting these results, cell proliferation analysis showed that enhanced p15/p21 induction correlated to sensitization of cells to cell cycle arrest induced by a low dose of TGF-β (Figure 3d).
In addition to the cell cycle arrest, the tumor suppressing function of TGF-β also comes from its role in apoptosis. A good cell model is the human hepatoma Hep3B cells that undergo apoptosis when exposed to TGF-β. To this end, we established a stable cell line in Hep3B cells with STAT3 knockdown (STAT3-KD) (Figure 3e) and investigated the effect of STAT3 depletion on TGF-β-induced apoptosis. In control cells, while TGF-β at a concentration of 200 pm induced apoptosis at a rate of 10%, the effect of a low concentration of TGF-β (5 pm) was not detectable (Figure 3f). Notably, STAT3-KD cells underwent apoptosis with much increased sensitivity to TGF-β as 5 pm of TGF-β could elicit an apparent apoptosis response and 200 pm of TGF-β further increased apoptosis rate (Figure 3f). We further examined condensed chromatin and nuclear fragmentation, two typical properties of apoptotic cell nuclei, by using Hoechest 33258 staining. The staining result showed that STAT3 depletion markedly sensitized cells to TGF-β-mediated apoptosis (Figures 3g and h).
As a multifunctional cytokine, TGF-β has a dual role in tumorigenesis. Whereas TGF-β induces cell cycle arrest and apoptosis in epithelial cells and early tumor cells, it promotes epithelial-to-mesenchymal transition (EMT), cell motility and tumor cell metastasis. Thus, we also sought to examine the role of STAT3 in TGF-β-induced EMT. The defined typical characteristics of cells undergoing EMT are downregulation of E-cadherin (an epithelial marker), upregulation of N-cadherin and Fibronectin (mesenchymal markers), and reorganization of actin to stress fiber. As shown in Figure 3i, whereas STAT3 depletion abolished expression of E-cadherin, it enhanced TGF-β-induced expression of EMT-associated proteins such as N-cadherin and Fibronectin in HaCaT cells. Loss of epithelial characteristics and acquisition of mesenchymal features were also analyzed by confocal microscopy. Compared with controls, STAT3 depletion strengthened EMT-associated changes in both unstimulated and TGF-β-stimulated cells. The effect of STAT3 was already apparent at an early time point of TGF-β treatment (24 h). At 24 h, wild-type HaCaT cells exhibited little changes in EMT markers and morphology (Figure 3j). Depletion of STAT3 expression resulted in a dramatic loss of E-cadherin and gain of F-actin fiber (Figure 3j). Consistent with the changes in cell morphology, STAT3-KD cells exhibited stronger migratory ability when treated with TGF-β in the wound healing analysis (Figure 3k). These results support the notion that STAT3 also suppresses the EMT and migratory responses of TGF-β.
STAT3 selectively attenuates the formation of Smad3 signaling complexes
To elucidate the molecular mechanism underlying STAT3-mediated suppression of TGF-β signaling, we tested whether STAT3 could affect activation and signaling capacity of Smads, including Smad phosphorylation, nuclear localization, complex formation and occupancy on the target gene promoters. By examining TGF-β-induced Smad3 phosphorylation, we found that stable knockdown of STAT3 did not obviously influence TGF-β-induced phosphorylation of endogenous Smad3 in HaCaT cells (Figure 4a), suggesting that STAT3 probably does not regulate the expression or activity of TGF-β ligands or receptors in HaCaT cells. Moreover, STAT3 had no effect on TGF-β-induced Smad3 nuclear accumulation (Figure 4b). Interestingly, TGF-β treatment stimulated not only the nuclear accumulation of Smad3 but also appeared to enhance that of STAT3 and thus co-localization of the two proteins in the nucleus (Figure 4b).
We next investigated the effect of STAT3 on the TGF-β-induced Smad complex formation. We found that STAT3C could compete with Smad4 for Smad3 binding as it inhibited TGF-β receptor-mediated Smad3–Smad4 interaction in HEK293T cells (Figure 4c). Furthermore, stable expression of STAT3C abolished the endogenous Smad3–Smad4 complex in HaCaT cells (Figure 4d). Notably, this STAT3C-induced disruption of the Smad complex was selective as it affected the Smad3–Smad4, but not Smad2–Smad4 association (Figure 4d). Because the transcriptional activity of Smad3 depends on the activator role of Smad4,28 we examined the effect of STAT3C on Smad3-mediated transcriptional activation using the heterologous Gal4 system. TGF-β stimulation could induce transcription activity of Gal4-fused Smad3, which was reflected by expression of the Gal4-driven luciferase reporter FR-Luc (Figure 4e). STAT3C dramatically inhibited transcriptional activity of Gal4-Smad3 (Figure 4e). In contrast, a dominant-negative mutant of STAT3 (STAT3DN) did not exhibit any inhibitory effect (Figure 4e).
A few transcription factors modulate the activity of Smad3 to bind to DNA in either synergistic or antagonistic manner.15 Therefore, we explored the possibility that STAT3 influences the DNA-binding activity of Smad3. In DNA pull-down assays, where a biotinylated DNA fragment consisting of SBEs was used to precipitate Smad3 in HEK293T cells, activated Smad3 (by TβRI-T202D) exhibited a high level of DNA binding (Figure 4f). In contrast, STAT3C markedly reduced the DNA-binding level of Smad3 (Figure 4f). These results further prompted us to investigate the inhibitory effect of STAT3 on the natural promoters of two representative TGF-β target genes. Occupancy of Smad3 on the promoter regions of p15 and PAI-1 were examined by using chromatin immunoprecipitation. TGF-β induced the enrichment of Smad3 on the PAI-1 promoter, and this enrichment was abolished by STAT3C (Figure 4g). Conversely, depletion of STAT3 profoundly increased TGF-β-induced accumulation of Smad3 on the promoters of PAI-1 (Figure 4h) and p15 (Figure 4i). Taken together, STAT3 impairs the Smad3–Smad4 complex formation and decreases Smad3 binding to chromatin, thereby resulting in inhibition of Smad3-mediated transcriptional activation.
STAT3 selectively and directly interacts with Smad3 under physiological conditions
Based on the convincing evidence that STAT3 attenuates the transcriptional capacity of Smad3, we speculated that STAT3 might directly interact with Smad3. We analyzed the potential STAT3–Smad3 interactions by using co-immunoprecipitation (co-IP) and in vitro pull-down assays. In HEK293T cells transfected with expression plasmids for Flag-tagged Smad3 and Myc-tagged STAT3WT or STAT3C, we could detect both STAT3WT and STAT3C in the anti-Flag-Smad3 immunoprecipitates (Figure 5a).
To further investigate the specificity and physiological relevance of the STAT3–Smad3 interaction, we analyzed the STAT3–Smad3 interaction under physiological conditions. We first used co-IP experiments to examine the association between endogenous Smad2/3 and stably expressed Flag-STAT3C, the level of which is comparable to that of endogenous STAT3 (Figure 2b). As shown in Figure 5b, anti-Flag immunoprecipitates (STAT3C) specifically retrieved Smad3, but not Smad2. This specificity was consistent with the result that STAT3 inhibited binding of Smad3, but not Smad2, to Smad4. We further examined the endogenous STAT3–Smad3 interaction in HaCaT cells, and found that STAT3 could be detected in the anti-Smad3 immunoprecipitates, but not in that of control IgG (Figure 5c).
To evaluate whether the STAT3–Smad3 interaction is direct, we conducted an in vitro interaction assay where only recombinant proteins were used. Smad3 was expressed and purified from Escherichia coli as a glutathione S-transferase (GST) fusion protein, whereas STAT3C was obtained from in vitro coupled transcription/translation in rabbit reticulocyte lysate. As shown in Figure 5d, in vitro synthesized STAT3C was retrieved by GST-fused Smad3 protein, but not GST alone, indicating that STAT3 directly interacts with Smad3. Taken together, STAT3 directly interacts with Smad3 under physiological conditions.
To determine the structural features for STAT3–Smad3 interaction, we first mapped the region in STAT3 that mediates the STAT3–Smad3 interaction. STAT3 consists of several protein–protein interaction domains including coil–coil (CC), DNA-binding domain (DBD), and Src homology 2 (SH2) domains. Interaction of Smad3 with each of these individual domains of STAT3 was assessed by using co-IP assays (Figure 5e). As shown in Figure 5f, DBD of STAT3 strongly bound to Smad3, whereas all other domains did not bind to Smad3. To further narrow down the interacting region in the DBD, three truncated mutants were created. While STAT3C-ΔDBD lacks the entire DBD, STAT3C-ΔDBDc and STAT3C-ΔDBDn lack the C- and N-terminal regions of the STAT3 DBD, respectively (Figure 5g). It is apparent that the N-terminal half of DBD was critical for the STAT3–Smad3 interaction (Figure 5h). We then determined the domains of Smad3 for STAT3 binding. Smads are structurally conserved proteins consisting of MH1 domain in the N terminus and MH2 domain in the C terminus, linked with a relatively less conserved linker region (Figure 5i). Our co-IP binding assay found that Smad3 mutants with deletion of either the MH1 domain or the linker, but not the MH2 domain, retained the ability to bind with STAT3 (Figure 5j, lanes 2 and 3). Notably, deletion of the MH2 domain completely abolished Smad3 binding with STAT3. These results suggest that STAT3 binds to the MH2 domain of Smad3.
Binding to Smad3 is indispensable for STAT3 to inhibit TGF-β responses
We further assessed the importance of the Smad3-interacting region of STAT3 in STAT3-mediated suppression of TGF-β signaling. In HaCaT cells, both the full-length STAT3C and STAT3C-ΔDBDc retained the inhibitory effect on TGF-β-induced CAGA-Luc activity. In contrast, STAT3C-ΔDBDn, which failed to interact with Smad3, was unable to suppress TGF-β signaling (Figure 6a). Similarly, only the full-length STAT3C and STAT3C-ΔDBDc could obviously attenuate Smad3-induced transcriptional activation (Figure 6b). Therefore, binding to Smad3 is essential for STAT3 to inhibit TGF-β signaling.
Discussion
Cancer and inflammation are two reciprocally regulated events. Malignant cells can usually generate a local inflammatory environment, and conversely, inflammatory conditions will further promote oncogenic transformation. Increased expression of soluble cytokines and growth factors establish and maintain a tumor microenvironment where tumor cells, stroma cells and inflammatory cells are associated. TGF-β is recognized as a major mediator in either tumor-associated inflammation or inflammation-associated tumor progression. Crosstalks between TGF-β and other cytokines may play an important role in the diverse functions of TGF-β. There are several studies, albeit conflicting, reporting crosstalks between TGF-β and STAT3 signaling pathways. TGF-β reduces phosphorylation of STAT3, and then downregulates the expression of its downstream genes.23, 24, 25, 29, 30 Conversely, STAT3 induces the expression of TGF-β1 to promote fibrosis.21 It has also been previously reported that there are p300 coactivator-dependent interactions between STAT3 and Smad3,31 between STAT1 and Smad332 and between STAT3 and Smad1.33 However, how STAT3 growth-promoting signaling antagonizes TGF-β growth inhibitory signaling remains elusive.
In the present study, we have identified a direct physical and functional interaction between STAT3 and Smad3. The interaction between STAT3 and Smad3 in hepatocytes was previously reported, yet it was indirect as it was bridged by p300.31 We for the first time demonstrate that the STAT3–Smad3 interaction is direct by means of in vitro interaction assays. The interaction enables STAT3 to compete with Smad4 for Smad3, thereby disrupting the Smad3–Smad4 complex, and thus attenuate TGF-β-mediated Smad3-dependent growth inhibitory and transcriptional responses in epithelial cells (Figure 6c), which is in contrast to the cooperative action of STAT3–Smad3 in STAT3-mediated gene expression in hepatocytes.31 The current finding is consistent with the oncogenic property of STAT3 and growth suppressor role of the TGF-β signaling. Loss of TGF-β tumor-suppressing response, which is a hallmark in cancer,34 can be achieved through somatic mutations in the genes encoding components of the TGF-β tumor-suppressing response pathway. Indeed, mutations are frequent in the Smad4 or TβRII gene in the gastrointestinal cancers such as pancreatic and colorectal cancers.4, 6, 35 In addition to genetic lesions in the genes encoding Smads and TGF-β receptors, accumulating evidence has demonstrated that the tumor suppressor functions of Smads are compromised by oncogene products such as c-Ski, Bcl6, c-Myc and Evi-1 through direct Smad–oncoprotein interactions.8, 9, 10, 11 Overexpression or amplification of STAT3 is often observed in cancers.20 Thus, our study extends and expands the role of oncoproteins in suppressing the TGF-β tumor-suppressing response.
It is previously reported that hyperactive STAT3 induces expression of inhibitory Smad7, and thus desensitizes TGF-β responses.22, 27 However, there is a minimal induction of Smad7 mRNA by STAT3 overexpression in HaCaT cells, which cannot explain the profound suppressing effect of STAT3 on TGF-β responses (data not shown). STAT3 is one of the effectors mediating the growth-promoting effect of EGF, IL-6 and related factors. Indeed, EGF and IL-6 have suppressing effects on TGF-β-mediated transcriptional responses. We rule out the possibility that the effect of EGF may be mediated via an Erk-dependent manner. Although it is known that EGF-activated Erks mediate hyper-phosphorylation of Smad2/3 that can affect the nuclear translocation of Smad2/3,14 MEK1 inhibitor PD98059 does not reverse the EGF-mediated attenuation of TGF-β signaling in our system. Neither does STAT3 alter nuclear accumulationof Smad3. Mechanistically, STAT3 competes with Smad4 for direct Smad3 binding and disables Smad3 to bind to DNA and to form the hetero-oligomeric complex with Smad4. As a consequence, STAT3 attenuates TGF-β-mediated growth inhibitory and transcriptional responses. Consistently, STAT3-depleted cells exhibit enhanced TGF-β-mediated responses.
Our current study has important implication in the development of more effective targeted cancer therapies, since TGF-β and JAK/STAT signaling have critical functions in tumor cell behaviors and tumor microenvironment. Our study provides compelling evidence demonstrating that STAT3 is a new oncogenic partner that interacts with Smads and suggests that STAT3 promotes tumorigenesis partly through disruption of the TGF-β pathway. Therefore, targeting of STAT3 with small molecules disrupting its canonical signaling in tumor cells may not be sufficient to halt tumor progression. Development of new STAT3 inhibitors targeting STAT3’s DBD, which confers both DNA binding and Smad3 binding, may provide an advantage for not only inhibiting STAT3’s canonical growth-promoting functions but also restoring TGF-β tumor-suppressing functions.
The observation that STAT3 selectively binds to Smad3, not Smad2, is very intriguing. Smad2 and Smad3 are the two closely related signal transducers for TGF-β/activin/myostatin in the TGF-β superfamily. Both are essential in most of TGF-β responses.15 However, while they share 92% sequence identity, Smad2 lacks the β-hairpin region that confers the DNA-binding function in Smad3. This DNA-binding difference may explain the differential roles of Smad2 and Smad3 in the regulation of certain TGF-β responses.36, 37, 38, 39, 40 Additionally, differential ability of Smad2 and Smad3 to bind to partner transcriptional factors can also contribute to differential TGF-β responses. Thus, the Smad3–STAT3 interaction may be involved in certain TGF-β responses. We previously reported that Smad2 is required for Th-17 cell differentiation, where loss of Smad3 leads to enhanced Th-17 differentiation.41, 42 Although this study only describes the antagonistic activity of STAT3 on the Smad3 signaling, it is conceivable that there is mutual inhibition between STAT3 and Smad3. Lastly, given its oncogenic role, the ability of STAT3 to differentially block Smad3 signaling further implicates that Smad3 is a key player in the TGF-β tumor suppressor signaling. This is consistent with the fact that loss of the Smad3 expression occurs in human cancer.43, 44
Besides tumor and inflammation contexts, the interplay between TGF-β signaling and STAT3-dependent signaling exist in various physiological contexts, such as Th-17 cell differentiation where TGF-β and IL-6 collaborate,45 and murine embryonic stem cell self-renewal and differentiation where LIF and TGF-β/BMP signaling cooperatively control.46, 47 How the direct interplay between STAT3 and Smad3 impacts these biological functions in vivo warrants more exciting investigation.
Materials and methods
Plasmids
Expression plasmids for Myc- or Flag-tagged Smads and T202D (constitutively active TGF-β type I receptor) were described previously.48 Myc- or Flag-tagged STAT3WT, STAT3C22 and STAT3DN 21 were generated by polymerase chain reaction and cloned into the EcoRI and SalI sites of pXF6F and pXF3HM. The pXF6F and pXF3HM were derived from pRK5 (Genentech, South San Francisco, CA, USA).
Antibodies
Antibodies against Smad2 (#5339), Smad3 (#9523), Smad2/3 (#8685), p-Smad2 (#3108), p-Smad3 (#9520), STAT3 (#9139), p-STAT3 (#9145), HA tag C29F4 (#3724), p21 (#2947) and E-cadherin (#3195) were purchased from Cell Signaling Technology (Danvers, MA, USA). Antibodies against Flag tag M2 (#F3165) and GAPDH (#G8795) were bought from Sigma (St Louis, MO, USA). Antibodies against Myc tag 9E10 (#sc-40) and Fibronectin (#sc-8422) were from Santa Cruz Biotechnology (Dallas, TX, USA). Antibodies against p15 (#C0287) were purchased from Assaybiotech (Sunnyvale, CA, USA). Antibody against N-cadherin (#610920) was from BD Biosciences (San Jose, CA, USA).
Cell culture and transfection
HEK293T cells were grown in Dulbecco’s modified Eagle’s medium (Corning, Tewksbury, MA, USA) with 10% fetal bovine serum (GIBCO, Grand Island, NY, USA). HaCaT, Hep3B and HepG2 cells were cultured in minimum essential medium (Corning) with 10% fetal bovine serum. HEK293T cells were transfected with polyethylenimine (Polyscience Inc., Warrington, PA, USA). HaCaT cells were transfected with X-treme GENE HP DNA transfection reagent (Roche, Basel, Switzerland). Hep3B and HepG2 cells were transfected with Lipofectamine2000 (Invitrogen, Carlsbad, CA, USA). Stable cell lines were selected by puromycin with appropriate concentrations.
Luciferase reporter assays
Reporters CAGA-Luc, SBE-Luc and 3TP-Luc were used to measure TGF-β-induced transcription. Cells were co-transfected with indicated reporter plasmids and a Renilla luciferase plasmid to normalize transfection efficiency. Briefly, 24–36 h after transfection, cells were treated with TGF-β (2 ng/ml), IL-6 (10 ng/ml) and EGF (10 ng/ml) for 12 h. Cells were harvested and measured by Dual-Luciferase Reporter Assay System (Promega, Madison, WI, USA). All assays were carried out in duplicates and the activities of firefly were normalized against Renilla luciferase activities.
RNA interference and real-time polymerase chain reaction
siRNAs targeting STAT3 were transfected into cells with Lipofectamine RNAiMAX reagent (Invitrogen). siRNAs were synthesized by RIOBIO CO (#1 target sequence: 5-CCAACGACCUGCAGCAAUAUU; #2 target sequence: 5-CUCAGAGGAUCCCGGAAAUUU).
Total RNAs were isolated with TRIzol reagent (Sigma) and corresponding cDNAs (complementary DNA) were obtained using the PrimeScript RT reagent kit. Real-time polymerase chain reactions were performed with SYBR Green Master Mix (Applied Biosystems, Foster City, CA, USA) and specific primers. The primers for the following human genes were used: STAT3 (Forward: CATCCTGAAGCTGACCCAGG; Reverse: TATTGCTGCAGGTCGTTGGT); p15 (Forward: AAGCTGAGCCCAGGTCTCCTA; Reverse: CCACCGTTGGCCGTAAACT); p21 (Forward: ACCATGTGGACCTGTCACTGT; Reverse: TTAGGGCTTCCTCTTGGAGAA); PAI-1 (Forward: GTGTTTCAGCAGGTGGCGC; Reverse: CCGGAACAGCCTGAAGAAGTG); β-actin (Forward: CAAAGTTCACAATGTGGCCGAGGA; Reverse: GGGACTTCCTGTAACAACGCATCT).
Immunofluorescence
HaCaT cells grown on coverslips were fixed with 4% formaldehyde for 15 min at 4 °C, permeabilized with 0.5% Triton X-100 for 15 min, followed by 5% bovine serum albumin blocking for 1 h. Cells were subsequently probed with indicated primary antibodies, and then with Alexa Fluor 488-conjugated or Alexa Fluor 546-secondary antibodies (Invitrogen). Fluoresence images were captured by a Zeiss LSM710 confocal microscope (Carl Zeiss, Jena, Germany).
DNA pull-down assay
DNA pull-down assay was carried out as previously described.49 HEK293T cells were lysated in buffer (10 mm HEPES (pH 7.5), 150 mm NaCl, 1 mm MgCl2, 0.5 mm EDTA, 0.5 mm DTT and 0.1% NP-40, 10% glycerol), then incubated with 0.5 μmol biotinylated SBE oligonucleotides together with 10 μg poly(dI-dC). DNA–protein complexes were then collected by precipitation on streptavidin beads (GE Healthcare, Waukesha, WI, USA) for 15 min, washed extensively with binding buffer and detected by western blotting.
Chromatin immunoprecipitation assay
HaCaT cells were treated with TGF-β (2 ng/ml) for 2 h. Cells were crosslinked with 1% formaldehyde for 10 min at 37 °C, and then quenched with 0.125 m glycine for 5 min at room temperature. Subsequently, cell pellets were suspended in sodium dodecyl sulfate lysis buffer and sonicated to generate DNA fragments. A Smad3 antibody was used to immunoprecipitated Smad3 and IgG was used as a control. Smad3-bound DNAs were determined by reverse transcriptase polymerase chain reaction. Chromatin immunoprecipitation primers used in the experiment are as follows: p15 Forward CTGCCTGGGGATGAATTTAAC; p15 Reverse GGTTTCACTGTGGAGACGTTG; PAI-1 Forward GCAGGACATCCGGGAGAGA; PAI-1 Reverse: CCAATAGCCTTGGCCTGAGA.
Immunoprecipitation and western blotting
Immunoprecipitation-coupled western blotting was performed as previously described.50 Briefly, cells were transfected with indicated plasmids and harvested 24-48 h after transfection. Co-IP was carried out with appropriate antibody and protein A Sepharose (GE Healthcare), followed by extensive washes. Precipitated proteins were eluted in sodium dodecyl sulfate loading buffer and separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis and detected in western blotting using appropriate antibodies.
In vitro protein binding assay
Recombinant GST fusion protein of Smad3 was prepared from E. coli strain BL21 (DE3). In vitro translation of STAT3 was carried out using Quick Coupled Transcription/Translation System (Promega). GST-Smad3 was incubated with STAT3 in the in vitro binding buffer (0.5% NP-40, 150 mm NaCl, 50 mm Tris-HCl, 5 mm EDTA) for 2 h. GST-Smad3 was retrieved using glutathione sepharose beads and examined by western blotting.
Cell cycle analysis
Cell cycle distribution was quantitatively evaluated by flow cytometry analysis. HaCaT cells were cultured in the absence or presence of TGF-β (2 ng/ml) for 2 days. Cells were detached and collected in a15- ml tube, and then fixed in 70% ice-cold ethanol for 24 h at −20 °C. Fixed cells were washed once with 1 × phosphate-buffered saline and stained with 1 mg/ml of propidium iodide at room temperature for 30 min. DNA content was then analyzed using a Flow Cytometer (Beckman Coulter, Brea, CA, USA).
Apoptosis assay
Hep3B cells were cultured in the absence or presence of TGF-β at indicated concentrations for 2 days. Cells were fixed as cell cycle analysis and then stained as per the manufacturer’s instruction (Annexin V/PI apoptosis kit; (Multisciences Biotech, Hangzhou, China). The stained cells were analyzed by a flow cytometer (Beckman Coulter).
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Acknowledgements
We thank David Luskutoff for p800 (PAI-1)-luc, Peter ten Dijke for CAGA-luc, Bert Vogelstein for WWP1 (p21)-luc and SBE-luc and Xiao-Fan Wang for p15-luc. We are grateful to colleagues in our laboratories for helpful discussion and technical assistance. This research was partly supported by grants from MOST (2012CB966600) and NSFC (31571447; 31090360), NIH (R01GM63773, R01 AR053591, R01CA108454 and R01DK073932), Project 111, Project 985 and the Fundamental Research Funds for the Central Universities.
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Wang, G., Yu, Y., Sun, C. et al. STAT3 selectively interacts with Smad3 to antagonize TGF-β. Oncogene 35, 4388–4398 (2016). https://doi.org/10.1038/onc.2015.446
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DOI: https://doi.org/10.1038/onc.2015.446
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