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Dual degradation signals control Gli protein stability and tumor formation
Abstract
Regulated protein destruction controls many key cellular processes with aberrant regulation increasingly found during carcinogenesis. Gli proteins mediate the transcriptional effects of the Sonic hedgehog pathway, which is implicated in up to 25% of human tumors. Here we show that Gli is rapidly destroyed by the proteasome and that mouse basal cell carcinoma induction correlates with Gli protein accumulation. We identify two independent destruction signals in Gli1, DN and DC, and show that removal of these signals stabilizes Gli1 protein and rapidly accelerates tumor formation in transgenic animals. These data argue that control of Gli protein accumulation underlies tumorigenesis and suggest a new avenue for antitumor therapy.
Factors controlling protein destruction are critical for the timing of key processes such as the cell cycle, apoptosis, and cell fate decisions, with aberrant regulation increasingly found during carcinogenesis (Pickart 2004; Yamasaki and Pagano 2004). Inappropriate Sonic hedgehog (Shh) signaling results in a panoply of birth defects and is implicated in up to 25% of human tumors (Callahan and Oro 2001; Lum and Beachy 2004). While the Gli family of proteins mediates the transcriptional effects of Shh (Methot and Basler 2001; Ruiz i Altaba et al. 2002), the mechanism by which Gli proteins are regulated to achieve changes in pathway output remains poorly understood. Studies in mice and humans show that Shh target gene induction is sufficient to induce a variety of tumors including basal cell carcinomas (BCCs) (Oro et al. 1997; Nilsson et al. 2000; Hutchin et al. 2005). However, there is a wide variability in the onset and severity of phenotypes among patients with mutations in the Shh pathway (Wicking et al. 1997), and a noticeably wide variability of tumor onset in animal models (Oro and Higgins 2003; Hutchin et al. 2005). This suggests the possibility that additional, previously uncharacterized, cellular processes regulate pathway output. Here we show that Gli protein accumulation correlates with tumor formation and stabilizing mutations in Gli protein dramatically accelerate tumor induction.
Results and Discussion
While expression of either Gli1 or Gli2 in the epidermis of transgenic mice induces BCCs (Fig. 1a), we have observed a considerable delay in the appearance of Gli-dependent tumors. Analysis of transgenic mice expressing Gli2 revealed an average latency of 7 mo before tumor appearance (Fig. 1b). We ruled out changes in transcription of the transgene with age as a cause of the tumors, as similar levels of RNA are seen in both age groups as measured by quantitative PCR (Fig. 1c). This suggested the existence in keratinocytes of additional processes, whose loss or dysregulation is required to permit Gli activity and direct tumor formation. Our previous studies indicated that differential accumulation of Gli protein plays an important role in restricting Shh target gene induction in interfollicular epithelium (Oro and Higgins 2003). Indeed, we detected no transgenic Gli protein in normal skin, whereas we found high levels in the BCC tumors (Fig. 1d). Cultured explants of primary keratinocytes from normal skin also contained little detectable Gli protein (Fig. 1e). However, treatment of these cells with the proteasome inhibitor MG132 caused full-length Gli2 protein to accumulate many fold within 3 h, confirming the presence of an active Gli2 protein destruction mechanism. These data support the conclusion that proteasome-dependent Gli protein destruction underlies the latency in Shh target gene response.
To study the molecular mechanisms that govern Gli protein degradation, we chose to focus our initial studies on Gli1, which, unlike Gli2 or Gli3, is primarily a transcriptional activator and is not processed to a repressor form (Dai et al. 1999; von Mering and Basler 1999). In this way, Gli protein function and degradation could be examined independently of proteolytic processing and transcriptional repressor regulation. We tested Gli1 stability in a variety of in vitro settings and found that Gli1 is degraded by the proteasome. In Xenopus egg extracts, a system where the ubiquitin-proteasome system (UPS) is known to be active to control β-catenin and IκB stability (Winston et al. 1999; Margottin-Goguet et al. 2003), 35S-labeled Gli1 protein is destroyed in a proteasome-dependent manner, with a half-life of 40 min (Fig. 1f). Similar kinetics are seen in a variety of cultured normal and cancer cells, including the Shh-responsive NIH 3T3 cells (Fig. 1g; Taipale et al. 2000). We ruled out degradation of Gli1 by other mechanisms such as lysosomal degradation (Dai et al. 2003), as cathepsin and lysosome inhibitors (E64 and chloroquine, respectively) had no effect on Gli levels (Fig. 1h). The efficacy of these inhibitors was confirmed in primary human keratinocytes where they inhibit the EGF-dependent lysosomal destruction of EGFR (Fig. 1h). These data provide strong support for destruction of vertebrate Gli1 by the UPS.
To identify signals that allow Gli1 to interact with the UPS, we were guided by the previous finding in Drosophila that the βTrCP locus is required for Ci processing (Jiang and Struhl 1998). The degron DSGXXS, recognized by βTrCP, is present in vertebrate regulatory proteins β-catenin, IκBα/β, and Emi1 (Spencer et al. 1999), although it is absent from Ci. In spite of this, we have identified a C-terminal motif, DSGVEM, that is conserved in chordate Gli homologs and vertebrate Gli1 and Gli2 proteins (Fig. 2a). To determine if the DSGVEM motif of human Gli1 mediates association with βTrCP1, reciprocal immunoprecipitations were performed from NIH 3T3 cells transfected with myc-tagged βTrCP1 and HA-tagged Gli1 (Fig. 2b). Gli1 protein lacking the DSGVEM motif (Gli1ΔDC) failed to associate with βTrCP and exhibited delayed degradation kinetics (Fig. 2c). Levels of βTrCP appeared to be limiting for Gli1 degradation, as increasing the levels of βTrCP protein significantly decreased steady-state levels of Gli1 protein (Fig. 2d). Consistent with its role as an E3 ligase, βTrCP association with Gli1 facilitated ubiquitination. In ubiquitin coimmunoprecipitation assays, ubiquitinylated Gli1 (ΔN398), but not Gli1ΔDC (ΔN398), could be detected in the presence of overexpressed βTrCP1 (Fig. 2e). Previous studies have shown that Protein kinase A (PKA) can enhance βTrCP-dependent Ci cleavage in Drosophila (Wang et al. 1999; Jia et al. 2004). We saw similar effects on Gli1, as inhibition of PKA impeded destruction (Supplementary Fig. 2a), and Gli1 constructs lacking consensus PKA sites in the C terminus failed to bind βTrCP and exhibited delayed destruction kinetics (Supplementary Fig. 2a,b). These data demonstrate that degron DC mediates Gli destruction via the βTrCP-ubiquitin ligase complex.
While βTrCP-dependent degradation clearly plays a role in Gli1 destruction, the Gli1ΔDC mutation only partially altered the destruction kinetics of Gli1 protein in cultured cells. At 3 h after cycloheximide addition, destruction of Gli1ΔDC was decreased by only ~25% relative to wild-type Gli1 (47.1% ± 6% vs. 21% ± 5%, Avg. ± SEM) (Fig. 3b). This argued that additional signals control Gli1 degradation. Through focused mutagenesis, we found that a small deletion of the N terminus further stabilized Gli1. As with the DC degron, degron DN mutations (GliΔN1-116, referred to as Gli1ΔDN) alone had modest effects on Gli destruction kinetics in vitro (3 h: 40.1% ± 6% vs. 21% ± 5%, Avg. ± SEM) (Fig. 3b). However, Gli1 lacking both degrons (double mutant; Gli1ΔDNΔDC became stable, possessing destruction kinetics similar to that with addition of proteasome inhibitor (Figs. (Figs.3b,3b, ,1g).1g). This argued for an additional degron in the N terminus. Further mutagenesis narrowed the region containing the degradation signal to residues 51-116 (Supplementary Fig. 3). This region contains a stretch of highly conserved residues present in all vertebrate Gli genes and in Drosophila Ci (Fig. 3a), suggesting that the destruction signal may be found in many Gli proteins.
We next determined whether degron DN functioned independently of degron DC. We tested whether βTrCP binding depends on DN. Consistent with the notion of distinct signals, coimmunoprecipitation studies showed that βTrCP bound equally well to both wild-type Gli1 and the Gli1ΔDN mutant (Fig. 3c). Moreover, we tested whether degron DN could confer instability to a heterologous protein. Green Fluorescent Protein (GFP) is a stable protein with a long half-life. Addition of amino acids 1-208, a region that encompasses degron DN sequences, destabilized GFP in a proteasome-dependent fashion, giving it a half-life of 180 min (Fig. 3d). Together, these data suggest the two destruction signals function independently.
Degron DN is immediately adjacent to the binding site for Sufu (Fig. 3a), a powerful negative regulator of the Shh pathway, suggesting that the degron might work in conjunction with Sufu. Consequently, we tested whether DN mutations affected the known Sufu functions of transcriptional corepression and Gli sequestration in the cytosol (Ding et al. 1999; Kogerman et al. 1999; Cheng and Bishop 2002). Gli1ΔDN bound to Sufu as well as wild-type Gli1 in GST pull-down (Fig. 3e) assays. Also, Gli1 mutants had a similar subcellular distribution to wild-type Gli1 and accumulated in the nucleus with equal efficiency in the presence of leptomycin (Fig. 3f). These data argue that the N-terminal degron regulates Gli1 stability via a unique Sufu- and degron DC-independent pathway.
Gli1 is known to activate transcription of Shh target genes via a transactivation domain in its C terminus (Yoon et al. 1998). To determine the functional significance of stabilizing Gli, we assessed the transcriptional activity of the mutants on Gli-responsive promoters (Taipale et al. 2000). Gli1ΔDC and Gli1ΔDN displayed modest increases in transcription when the same molar amount of plasmid was transfected into cells, with the double mutant displaying threefold higher target gene induction compared with wild-type Gli1 (Fig. 3g,h). This increase could be due to increased transactivation ability or increased protein levels. Analysis of protein levels relative to transcriptional output demonstrated a clear linear relationship between the amount of Gli1 protein for each of the mutants and reporter gene output (Fig. 3g,h). These data argue that the greater transcriptional activity of the mutants is due to increased protein stability rather than transactivation ability.
Tumor induction in Gli transgenic animals correlates with Gli protein accumulation. If the degrons identified in our studies are responsible for restricting Gli1 protein accumulation in vivo, then expressing Gli1 without these signals should shorten the latency to tumor induction. We assayed skin phenotypes of several lines of transgenic animals expressing different mutants of Gli1 in the basal layer of stratified epithelia. As expected, transgenic animals expressing wild-type Gli1 were born normally with no detectable transgenic Gli protein (Fig. 4b,l), and developed the predicted tumor phenotype at 6-8 wk after birth (Oro and Higgins 2003; data not shown). In contrast, animals expressing double-mutant Gli1 (GliΔDNΔDC) exhibited Gli protein accumulation at the time of birth in tumor and nontumor epithelium (Fig. 4c; Supplementary Fig. 4). The GliΔDNΔDC-expressing animals died at birth with shallow skin ulcers clinically similar to BCCs throughout the body. The tumors demonstrated characteristic features of BCCs (Fig. 4c,m; Supplementary Fig. 4; Oro et al. 1997; Callahan et al. 2004), including the up-regulation of ptch1 (Fig. 4r). Moreover, the tumors were rapidly dividing as evidenced by the significant increase in Ki67 staining and displayed the BCC marker keratin 17 (Supplementary Fig. 4). This demonstrates that altered protein accumulation can directly accelerate tumor induction.
In cultured cells, both degrons were highly active in restricting Gli1 levels. However, depending on the specificity and/or capacity of the operative degradation pathway, one of the degrons may play a more active role in a given in vivo context. We determined the relative contribution of each degron to Gli1 destruction by comparing the phenotype of single Gli mutant transgenic mice to those expressing GliΔDNΔDC. In the skin, Gli1 mutants lacking degron DC displayed a much stronger phenotype than those lacking degron DN (Fig. 4v). While both GliΔDC and GliΔDN transgenic mice were viable and lacked the ulcerating lesions seen in the double mutant, GliΔDC mutants demonstrated BCC-like lesions at birth more comparable to those expressing GliΔDNΔDC (depth of invasion, 111 μM vs. 140 μM, respectively) (Fig. 4d). GliΔDN transgenic animals had small BCC-like proliferations that developed slightly after birth and appeared to come directly off the hair follicle (Fig. 4e). Also, many GliΔDN mutant lesions were benign hair follicle tumors, indicative of lower Shh target gene induction (Callahan and Oro 2001; Grachtchouk et al. 2003). In each of the Gli mutants, the distribution of Gli protein was both nuclear and cytoplasmic, providing further evidence that the degron sequences do not play a role in nucleocytoplasmic shuttling of Gli1 (Fig. 4l-p). The phenotypic differences within each group could not be attributed to transgene expression differences, as only steady-state protein levels by IHC, not transgene copy number or RNA expression level, correlated with the phenotype (Fig. 4; Supplementary Fig. 5). These data demonstrate the combinatorial action of both DC and DN degrons in preventing ectopic Shh target gene induction and provide in vivo support for the role of Gli destruction in controlling tumor formation.
Here we have shown that Gli1 protein contains two destruction signals that regulate protein stability and tumor formation (Supplementary Fig. 1). As with other key regulatory proteins such as myc, p53, IκB, and β-catenin, there appears to be a finely balanced control of Gli1 protein levels to allow for proper target gene induction while preventing epithelial tumor formation. Our data suggest that the BCC tumors observed in the K5Gli2 transgenic mice likely arise as a result of secondary changes that lead to Gli2 stabilization rather than as a result of gradual saturation of the destruction machinery. Arguing against saturation is the lack of increased protein in adjacent normal tissue or in the explanted cells from older animals. Furthermore, with the addition of proteasome inhibitors, we see rapid accumulation of Gli2 protein. This suggests that halting the destruction of Gli proteins is an early step in the tumor process and that cellular changes that allow Gli1 protein accumulation may contribute to human carcinogenesis (Kinzler et al. 1988). Similarly, targeted therapies that delay the onset of Gli accumulation may have potent antitumor properties.
Our study illustrates how two destruction signals cooperate to prevent Gli protein accumulation, target gene induction, and subsequent tumor formation. While a role for βTrCP has been implicated in Ci processing, the present study is the first to demonstrate that it acts by directly binding Gli to facilitate ubiquitinylation and destruction. Interestingly, while Ci and Gli1 are both directed by PKA and βTrCP to interact with the proteasome, the end result differs in that Gli1 is degraded but not cleaved. This could be due to either the particular amino acid sequence of the degron or to surrounding amino acids that influence βTrCP/UPS function. The identified Gli degron differs significantly from that of β-catenin, Emi1, and IkB in that it lacks a second serine shown to be important for sequential phosphorylation and contains a phosphomimetic glutamic acid residue (Amit et al. 2002; Moshe et al. 2004). Future studies will focus on whether these sequence differences are sufficient to account for the different final disposition of the protein. This study further identifies a novel degron, DN, that shares little identity with other known degradation signals. The conserved sequences in this degron are found in both Gli2 and Gli3, and removal of the region containing them has been associated with activation of Gli2 (Sasaki et al. 1999; Mill et al. 2003). Our data suggest that a portion of this activation may be due to Gli2 protein stabilization via degron DN rather than simply loss of transcriptional repressor activity.
Material and methods
Destruction assays
Xenopus egg extracts. Xenopus egg cytoplasmic extracts were prepared fresh as previously described (Reimann et al. 2001). Substrate proteins were in vitro translated in the presence of 35S-methionine using the TnT IVT system (Promega). IVT protein was added to egg extract to 10% of final volume. Destruction assays were conducted in a final volume of 2-10 μL, and stopped by addition of 2× Sample buffer and snap-freezing in liquid nitrogen. In some experiments, MG-132 (Calbiochem) was added to a final concentration of 1 mM.
NIH 3T3. NIH 3T3 cells were transfected as described above. Two days after transfection cycloheximide was added to final concentration of 20 μg/mL and samples were harvested in 2× Sample buffer at various time points. Alternatively, cycloheximide was added at various time points prior to lysis of all samples in 2× Sample buffer. Both approaches yielded similar results. In some experiments MG-132 (Calbiochem) was added to a final concentration of 30 μM 1 h prior to destruction assay. HA-tagged Gli1 proteins were detected with a mouse-anti-HA monoclonal antibody (Covance). Equal transfection was confirmed by blotting with a mouse antibody for EGFP (Roche), and loading and transfer efficiency were confirmed by blotting with a mouse antibody to β-actin (Sigma).
Primary human keratinocytes. Primary human foreskin keratinocytes were passaged in Keratinocyte-SFM medium (Invitrogen) supplemented with bovine pituitary extract and recombinant human EGF (Invitrogen) and cultured in unsupplemented Keratinocyte-SFM for 24 h prior to the destruction assay. For destruction assay, recombinant human EGF (Invitrogen) was added to a final concentration of 100 ng/mL with cycloheximide to a concentration of 100 μg/mL. Chloroquine (12.5 g/mL; Sigma) or E64 (25 μM; Calbiochem) were added 1 h prior to beginning the destruction assay. Samples were harvested at various time points in 2× Sample buffer. EGFR protein was detected with a rabbit antibody to EGFR (Santa Cruz Biotechnology). Equal sample loading was confirmed by blotting for β-actin.
Mice
All mouse studies were performed in accordance with the policies of the Stanford IUPAC. K5Gli2 animals were generated using full-length mouse Gli2 (Sasaki et al. 1999) containing a triple HA tag on the N terminus in pENTR1A (Invitrogen) and then recombined into a transgenic vector containing the bovine keratin 5 promoter (Ramirez et al. 1994; Callahan et al. 2004) using Gateway cloning (Invitrogen). Five independent lines were generated that had similar phenotypes. Line #70 was expanded and quantified. K5Gli1 wild-type, K5Gli1ΔDC; ΔDN, K5Gli1ΔDC, and K5Gli1ΔDN were constructed as described in the Plasmid section in the Supplemental Material and then recombined into the bovine keratin 5 promoter by Gateway cloning. Transgene copy number was determined by quantitative real-time PCR (Brilliant Sybr Green; Stratagene) using DNA isolated from transgenic mouse tails. We used primers specific to the 3′-region of human Gli1 (F: GCCGTGCTAAAGCTCCAGTGAACAC; R: AGAAGTCGAGGTGGTGCTGCTGCCC). These primers did not amplify mouse Gli1. A 10-fold dilution series of transgene plasmid diluted into a constant amount of nontransgenic mouse DNA was used as a standard to determine transgene copy number in a given amount of tail DNA. Mouse GAPDH (GAPDH F: TCTTCTTGTGCAGTGCCAGCCTCGTCC; R: GACTGTGCCGTTGAATTTGCCGTGAGTG) and mouse Gli2 primers (F: CCTCCCTGGGAAGAAGACTTGCGTCTAC; R: TCAATGCCTTCAACCTTCCGCTCAAC) were used as controls for DNA loading and quality. Copy number results are expressed as copies per diploid genome. Expression analysis of transgene expression was performed by quantitative real-time RT-PCR (Brilliant Sybr Green; Stratagene) according to the manufacturer's instructions. RNA was isolated from right hind-limb tissue using Trizol reagent (Invitrogen). Mouse Keratin 5 primers (F: CTCCAGGAACCATCATGTCTCGCCAGTC; R: CACCACCGAAGCCAAAGCCACTACCAG) were used to control for RNA loading and quality. Template quantity was determined using the delta-delta CT method according to the manufacturer's instructions.
Acknowledgments
We thank C.A. Callahan for help in making transgenic Gli2 animals; Lei Chen and the Stanford Transgenic Facility for help with pronuclear injections; and Paul Khavari, James Chen, Howard Chang, and the Oro laboratory for comments on the manuscript. This work is funded by NIH grants R01ARO46786 (to A.E.O) and R01GM60439 (to P.K.J), a Stanford Graduate Fellowship (to E.G.H.), and the Cancer Biology graduate program (to I.S.E.).
Notes
Supplemental material is available at http://www.genesdev.org.
Article published online ahead of print. Article and publication date are at http://www.genesdev.org/cgi/doi/10.1101/gad.1380906.
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Review
Funding
Funders who supported this work.
NIAMS NIH HHS (2)
Grant ID: R01 AR054780
Grant ID: R01 AR046786
NIGMS NIH HHS (2)
Grant ID: R01GM60439
Grant ID: R01 GM060439
PHS HHS (1)
Grant ID: R01ARO46786