Abstract
Through a multiprotein complex, glycogen synthase kinase-3β (GSK-3β) phosphorylates and destabilizes β-catenin, an important signaling event for neuronal growth and proper synaptic function. δ-Catenin, or NPRAP (CTNND2), is a neural specific member of the β-catenin superfamily, and is also known to modulate neurite outgrowth and synaptic activity. In this study, we investigated the possibility that δ-catenin expression is also affected by GSK-3β signaling, and it participates in the molecular complex regulating β-catenin turnover in neurons. Immunofluorescent light microscopy revealed co-localization of δ-catenin with members of the molecular destruction complex: GSK-3β, β-catenin, and APC in rat primary neurons. GSK-3β formed a complex with δ-catenin, and its inhibition resulted in increased δ-catenin and β-catenin expression levels. LY294002 and amyloid peptide, known activators of GSK-3β signaling, reduced δ-catenin expression levels. Furthermore, δ-catenin immunoreactivity increased and protein turnover decreased when neurons were treated with proteasome inhibitors, suggesting that the stability of δ-catenin, like that of β-catenin, is regulated by proteasome-mediated degradation. Co-immunoprecipitation experiments showed that δ-catenin overexpression promoted GSK-3β and β-catenin interactions. Primary cortical neurons and PC12 cells expressing δ-catenin treated with proteasome inhibitors showed increased ubiquitinated β-catenin forms. Consistent with the hypothesis that δ-catenin promotes the interaction of the destruction complex molecules, cycloheximide treatment of cells overexpressing δ-catenin showed enhanced β-catenin turnover. These studies identify δ-catenin as a new member of the GSK-3β signaling pathway and further suggest that δ-catenin is potentially involved in facilitating the interaction, ubiquitination, and subsequent turnover of β-catenin in neuronal cells.
Keywords: Glycogen synthase kinase-3β, δ-catenin/NPRAP, β-catenin, proteasome, ubiquitination
Introduction
δ-Catenin (CTNND2), or neural plakophilin-related armadillo protein (NPRAP), is a member of the β-catenin superfamily of proteins, which contain a highly homologous repeating central armadillo (ARM) domain (Paffenholz et al., 1997; Zhou et al., 1997; Peifer et al., 1994a). Through this domain these family members interact with cadherin and are linked to the actin cytoskeleton where they modulate cell adhesion and process elaboration (Hatzfeld and Nachtsheim, 1996; Peifer et al., 1994a; Lu et al., 1999; Martinez et al., 2003; Grosheva et al., 2001). In adult neural tissues, δ-catenin is expressed in the dendrites, is enriched in the postsynaptic density, and participates in modulating dendritic arborization (Kim et al., 2002; Lu et al., 2002; Jones et al., 2002; Martinez et al., 2003; Arikkath et al., 2008; Abu-Elneel et al., 2008). In addition to its localization and abundant expression in the brain, there are several lines of evidence indicating that proper expression of δ-catenin is critical for normal brain function. First, hemizygous loss of chromosome 5p15.2 which encodes for δ-catenin, is associated with a severe form of mental retardation in Cri-du-Chat syndrome (Medina et al., 2000). Second, targeted disruption of the δ-catenin gene in mice results in severe impairments in cognitive function and abnormalities in short- and long-term synaptic plasticity which is important in memory and learning (Israely et al., 2004). Although previous studies demonstrated that δ-catenin-induced branching and turnover are modulated by presenilin-1 (PS-1) expression and that PS-1 bearing Alzheimer disease mutations enhances δ-catenin processing, the mechanisms regulating δ-catenin expression and stability are poorly understood (Kim et al., 2006a). Furthermore, little is known about how changes in δ-catenin expression levels affect intracellular signaling pathways that are involved in neuronal morphology and function.
GSK-3β is a serine/threonine protein kinase highly expressed in the central nervous system. While the enzymatic activity of GSK-3β is associated with a diverse number of intracellular signaling pathways, one well-characterized substrate of GSK-3β is β-catenin. Evidence from many studies indicates that GSK-3β has a primary role in down-regulation of β-catenin levels (Rubinfeld et al., 1996; Yost et al., 1996; Sakanaka et al., 1998). GSK-3β is a component of a multiprotein destruction complex that phosphorylates β-catenin thus signaling it for proteasome-mediated degradation, an event which is critical for normal neural development (Peifer et al., 1994b; Peifer et al., 1994c; Aberle et al., 1997; Woodgett, 2001). In the presence of extracellular cues, such as neurotrophins and Wnts, intracellular signal transduction targets the inactivation of GSK-3β resulting in stabilization and accumulation of β-catenin, thereby increasing β-catenin nuclear translocation and binding to transcription factors (Behrens et al., 1996; Huber et al., 1996; Molenaar et al., 1996). Inhibition of GSK-3β has been shown to enhance and modulate accumulation of the destruction complex molecules in growth cones, stabilize β-catenin, and change neuronal morphology (Zhou et al., 2004; Rubinfeld et al., 1995; Zumbrunn et al., 2001).
Shared binding partners, sequence homology, and similarities in the effect of δ-catenin and β-catenin on cellular morphology suggest that δ-catenin is potentially a new member of the GSK-3β signaling complex in neuronal cells. In this study we identify that the GSK-3β destruction complex regulates δ-catenin expression and stability and thereby participates in the molecular complex that regulates β-catenin turnover. We demonstrate that GSK-3β forms a stable complex with δ-catenin and phosphorylates δ-catenin in neurons, an event that mediates ubiquitination and subsequent proteasome degradation of δ-catenin. These findings provide evidence that GSK-3β modulates δ-catenin and β-catenin stability through a similar regulatory pathway and that altering δ-catenin expression levels in neurons effects β-catenin/GSK-3β interactions and β-catenin ubiquitination and turnover.
Materials and Methods
Antibodies
Antibodies used for the detection of δ-catenin were obtained from BD Bioscience and Upstate Biotechnology. All other antibodies were used as follows: anti-β-catenin, anti-pSer33, 37Thr41-β-catenin and anti-GSK-3β (BD Bioscience); anti-ubiquitin (BD Pharmigen); anti-APC and anti-actin (Santa Cruz Biotechnology); anti-pSer9-GSK-3β; anti-Tau (Tau-1) (Sigma); anti-pSer/Thr (Upstate Biotechnology).
Primary neuronal cultures and immunofluorescence microscopy
Primary rat cortical and hippocampal neurons were cultured as previously described (Goslin et al. 1998) with the exception of the following modifications. Embryonic day 18 rats (Charles River, MA) were euthanized and the embryos removed according to the approved NIH and ECU IACCU guidelines. Tissues were washed with HBSS (Hank’s balanced salt solution with 10 mM HEPES, pH 7.4). Cortices and hippocampi were dissected and dissociated with 0.25% trypsin at 37°C. The tissues were washed with HBSS and mechanically dissociated with gentle passage through flamed Pasteur pipettes. Cells were plated onto poly-L-lysine coated plates and coverslips in Dulbecco’s modified Eagle’s medium (DMEM) with 10% fetal bovine serum overnight. Media was then removed and replaced with Neurobasal media supplemented with B-27 (Invitrogen). Cultures were treated with 5 μM 5′deoxyuridine overnight to limit the growth of glial cells. Primary cortical and hippocampal neurons were grown in culture for 10–14 days unless otherwise indicated. For immunofluorescence light microscopy, cells grown on coverslips were fixed in 4% paraformaldehyde, permeablilized in 0.2% Triton X-100, and blocked with 10% BSA in PBS. Coverslips were incubated with primary antibodies for 1 hour at room temperature followed by the incubation with appropriate secondary antibodies: anti-mouse and anti-rabbit Cy3 (1:400), anti-mouse and anti-rabbit fluoresceine isothyocynate (FITC) (1:100) (Sigma-Aldrich, St. Louis, MO). Immunofluorescence was observed using 40x and 63x objectives on a Zeiss Axiovert S100 and a Zeiss LSM 510 laser scanning confocal light microscope (Carl Zeiss, Thornwood, NY). Control cells, nonspecific staining was determined by incubating coverslips with only secondary antibody. No observable pattern or intensity of immunofluorescence was observed for cells treated in this manner.
Cell lines and transfections
PC12 and PC12-δ-catenin (PC12-δ-cat) cells stably expressing δ-catenin under a Tet-off system were cultured as previously described (Lu et al., 2002). Mouse NIH 3T3 cells were transfected with Lipofectamine 2000 reagent as described by the manufacturer (Invitrogen). Briefly, cells were incubated for 4 hours with the complex containing plasmid DNA and transfection reagent in serum free media. Media was then removed and replaced with serum containing media until further experiments. Cells were then treated with the indicated drugs and lysed 24 to 48 hours after transfection.
Prostate cancer epithelial cells, CWR-RV1 cells, were grown in RPMI 1640 containing 10% FBS. Cells were transfected using the Lipofectamine 2000 method with the following plasmids; HA-GSK-3β-WT (He et al., 1995), HA-GSK-3β-S9A, constituitively active mutant (CA) (Stambolic et al., 1994), and HA-GSK3β-K85A, kinase dead mutant (KD) were kindly provided by Dr. Jim Woodget through Addgene. Primary cortical neurons were transfected with a set of small-hairpin (shRNA) corresponding to rat δ-catenin mRNA. shRNA constructs were designed and synthesized by (Origene) as follows: 5′-CTGGTCACAGGAGTCCTTTGGAACCTCTC-3′ and control shRNA pRS plasmid was used as a negative control. The Amaxa electroporation method was used for transfections of control and shRNA plasmids. Briefly, dissociated neurons were suspended in 100 μl of Amaxa electroporation buffer with 4 μg of plasmid DNA. The cell mixture was then transferred to Amaxa electroporation cuvette and electroporated with Amaxa Nucleofector apparatus set on O-O5 program. After transfection, cells were plated onto poly-L-lysine coated plates and incubated at 37°C with CO2 controlled atmosphere. Cells were collected 3 days after transfection, lysed and immunoblotted.
Tissue homogenization, lysate preparation, immunoprecipitation, and immunoblotting
We prepared tissue culture cell lysates and whole brain homogenates of adult mice in RadioImmuno Precipitation Assay (RIPA) buffer (150mM NaCl, 10mM HEPES pH 7.3, 2mM EDTA, 0.2% SDS, 0.5% Sodium deoxycholate, 1% Triton X-100) supplemented with protease inhibitors (Roche Complete Protease Inhibitor cocktail), followed by 30 minute incubation on ice. Cell debris was removed by 14,000g centrifugation. Supernatant was collected and protein concentration was determined using Pierce BCA assay. For immunoprecipitation experiments one milligram of cell lysate or brain protein extracts were incubated with primary antibody for 4 hours. For δ-catenin immunoprecipitation both monoclonal and polyclonal antibodies were used. Protein A beads (with rabbit primary antibody) and protein G beads (with mouse and goat primary antibody) were added for an additional overnight incubation followed by a 500g centrifugation for 5 minutes. The immuno-complex was washed three times with the extraction buffer, and eluted with 2X SDS sample buffer. Samples were boiled for 5 minutes and loaded on SDS-PAGE gels, transferred to nitrocellulose membrane and subject to Western blot analysis.
Drug treatments
GSK-3β inhibitor-TDZD-8 (Calbiochem) at a final concentration of 10 μM or lithium chloride (LiCl) at a final concentration of 1.0 mM, unless otherwise noted, were added to the cell culture media for 4 hours to inhibit GSK-3β. LY294002 (Sigma), a PI3K inhibitor that activates GSK-3β was added to the media for 1 hour at a final concentration of 50 μM. Synthetic β-amyloid (1-42) Aβ42 were prepared as previously described (Alvarez et al., 1999). Briefly, Aβ42 peptide solutions (> 70% HPLC) from stock solutions were prepared by dissolving lyophilized aliquots of Aβ42 peptide (AnaSpec) in dimethylsulfoxide (DMSO), and the solution was incubated for 1 day. Aβ42 peptide treatments at a final concentration of 10 μM were added to cell culture media with overnight incubation. Proteasome inhibitor treatments were performed as follows: ALLN 10 μM (Calbiochem), MG-132 10 μM (Calbiochem), Lactacystin 10 μM (A.G Scientific, Inc.), and ALLM 25 μM (Sigma). Chemicals were added to cell culture media for 4–8 hours unless otherwise noted.
Determination of protein half-life
δ-Catenin and β-catenin protein half-life were determined by incubating cells with 50 μg/ml cycloheximide for the indicated times. Equal amounts of protein were loaded for corresponding time points and subjected to immunoblot analysis. Western blotted protein bands were semi-quantified using BioRad ChemiDoc Documentation system (BioRad).
Results
δ-Catenin associates with GSK-3β
Previous studies have demonstrated that δ-catenin and GSK-3β are highly regulated during neuronal development and are involved in neurite outgrowth (Ho et al., 2000; Lu et al., 2002; Meijer et al., 2004; Zhou et al., 2004). In order to determine the association between δ-catenin and GSK-3β, we examined the localization of δ-catenin and GSK-3β in primary hippocampal neurons cultured in vitro for 9 days. Endogenous δ-catenin and GSK-3β localized to the neuronal processes and soma (Fig. 1A, B). The observed immunolocalization of δ-catenin and GSK-3β to the dendrites is consistent with previous reports (Leroy and Brion, 1999, Ho et al., 2000; Jones et al., 2002). High magnifciantion imaging and laser confocal immunofluorescent light microscopy using the Z-line function confirmed the partial co-localization of δ-catenin and GSK-3β in dendrites (Fig. 1B, C).
Next, we performed co-immunoprecipitation experiments to investigate the association of δ-catenin with GSK-3β in neuronal tissues. Endogenous δ-catenin was immunoprecipitated from adult mouse brain homogenates. Western blot analysis demonstrated that GSK-3β was co-immunoprecipitated with δ-catenin (Fig 2A, left panel). Reverse co-immunoprecipitation using anti-GSK-3β antibody followed by δ-catenin immunoblotting confirmed this interaction (Fig. 2A, right panel). Similar findings on primary cortical neurons further corroborated this observation (Fig. 2B). In addition, when cultured neurons were treated with LiCl, a selective GSK-3β inhibitor, anti-δ-catenin immunoprecipitated lysates showed a decrease in δ-catenin phospho-serine-threonine immunoreactivity compared to untreated controls (Fig. 2B, left panel and 2C). These results suggest that δ-catenin serine-threonine phosphorylation may be controlled by GSK-3β activity in primary cortical neurons.
GSK-3β activity affects δ-catenin expression and stability
To further explore the effects of GSK-3β activity on δ-catenin expression levels we treated primary cortical neurons with increasing doses of LiCl. Western blot analysis showed that cells treated within therapeutic relevant doses of LiCl corresponded with an increase in δ-catenin immunoreactivity in a dose dependent manner (Fig. 3A). Treatments above the 1.0 mM concentration corresponded with a tapering decrease in δ-catenin expression, emphasizing the importance of dosage effects on the regulation GSK-3β and its substrates (Kim et al., 2006b). Tau-1 immunoreactivity (recognizing dephosphorylated Ser 195/198/199/202) has been shown to increase in the presence of LiCl in a dose-dependent manner referring to the involvement of GSK-3β activity in phosphorylation of tau at the Tau-1 site (Takahashi et al. 1999; Tatebayashi et al. 2004). Both anti-dephospho-Tau (Tau-1) and anti-phospho-GSK-3β (GSK-3βP) immunreactivities increased with increasing LiCl concentrations demonstrating the effectiveness of LiCl in the inhibition of GSK-3β activity (Fig. 3A). Treatment with TDZD-8, another GSK-3β specific inhibitor, had a similar effect on increasing δ-catenin immunoreactivity (Fig. 3E).
While these results showed that GSK-3β inhibition increased δ-catenin levels in cultured cells, we sought to determine if activation of GSK-3β negatively affects δ-catenin expression levels. To activate GSK-3β we treated neurons with either LY294002 or Aβ42 (Zhou et al., 2004; Takashima et al., 1996) and observed a decrease in δ-catenin immunoreactivity under these conditions (Fig. 3C, D, and E). We then pretreated neurons with LiCl followed by incubation with LY294002. Western blot analysis showed a recovered δ- and β-catenin expression levels (Fig. 3E). These results are consistent with previous reports which demonstrate that β-catenin levels can be modulated by GSK-3β activity (Grimes and Jope, 2001b; Zhou et al.,2004; Fuentealba et al., 2004) but provide new information with regard to the effects of GSK-3β activity on δ-catenin expression. Together, these results are in line with the notion that modulation of GSK-3β activity affects δ- and β-catenin levels in primary cortical neurons, which are potentially important downstream signaling events in the neuroprotective effects of GSK-3β inhibition.
To establish if these changes in δ-catenin expression were specific to GSK-3β activity, we transfected CWR22-Rv1 cells, endogenously expressing δ-catenin, with GSK-3β WT, GSK-3β kinase dead mutant (KD), or GSK-3β-constitutively active mutant (CA) constructs. Consistent with our pharmacological data, we found that transfecting cells with GSK-3β-CA resulted in decreased δ-catenin expression and GSK-3β-KD resulted in decreased δ-catenin expression further linking GSK-3β activity to δ-catenin expression (Fig. 3F).
δ-Catenin is ubiquitinated and undergoes proteosome-mediated degradation
Next we tested the possibility that GSK-3β affects δ-catenin degradation. To determine if δ-catenin is degraded by the proteasome pathway, we incubated NIH 3T3 cells transfected with δ-catenin and treated them with ALLN (N-acetyl-Leu-Leu-norleucinal, LLnL, or calpain I inhibitor), a widely used inhibitor of proteosome-mediated degradation. Western blot analysis showed that ALLN treatment resulted in increased δ-catenin immunoreactivity (Fig. 4A). To demonstrate this effect on endogenous δ-catenin, time course experiments using primary cortical neurons showed that ALLN treatment resulted in increased δ-catenin and β-catenin immunoreactivity within 2 hour of incubation with ALLN (Fig. 4B, C). Here, the increased expression of β-catenin was used as positive control for the effectiveness of the drug treatments and was consistent with the report by Aberle et al (1997). To verify that the change in δ-catenin immunoreactivity was due to proteasome specific inhibition, we treated primary cortical neurons with ALLM, Pepstatin A, Leupeptin, or sodium orthovanadate, and we observed no increase in δ-catenin expression compared to treatments with either the ALLN, MG132, or lactacystin (data not shown). Furthermore, protein turnover experiments demonstrated increased δ-catenin stability in primary cortical neurons treated with ALLN, suggesting that δ-catenin turnover involves proteasome-mediated degradation (Fig. 4D).
To determine if δ-catenin is ubiquitinated, we treated primary cortical neurons with ALLN and immunoprecipitated δ-catenin from the cell lysates. Western blot analysis using an anti-ubiquitin antibody detected ubiquitin suggesting association of this molecule with δ-catenin (Fig. 4E). To assess if GSK-3β activity is involved in δ-catenin ubiquitination, cell lysates from primary neurons treated with or without LY294002 or LiCl were immunoprecipitated with a δ-catenin antibody and immunoblotted using an anti-ubiquitin or anti-phospho-serine/threonine antibody (Fig. 4F). Western blot analysis showed that inhibition of GSK-3β activity with LiCl treatment decreased δ-catenin ubiquitination and serine-theonine phosphorylation compared to untreated controls (Fig. 4F). Conversely, GSK-3β activation by LY294002 treatment showed an increase in δ-catenin phosphorylation and decrease in its ubiquitination. A decreased δ-catenin ubiquitination under LY294002 conditions is possibly due to its enhanced degradation and turnover. Taken together, these results suggest that δ-catenin stability is regulated by GSK-3β thereby tagging it for proteasome-mediated degradation.
δ-Catenin expression promotes GSK-3β association with β-catenin
It is well established that β-catenin stability is regulated by a multiprotein complex that includes GSK-3β and APC (Adenomatous Polyposis Coli) proteins (Hart et al., 1998; Peifer and Polakis, 2000; Woodgett, 2001; Ha et al., 2004). Since our data supports that δ-catenin stability is also regulated by the GSK-3β-proteasome signaling pathway, we tested the hypothesis that δ-catenin may participate in the multiprotein complex by promoting the interaction of these molecules to influence β-catenin degradation. To explore this possibility, we first sought to determine if δ-catenin co-localizes with the destruction complex molecules in primary neurons. Double immunofluorescent labeling showed partial co-localization of δ-catenin with β-catenin, GSK-3β, and APC in the dendrites of mature hippocampal neurons (Fig. 5, arrows). Immunoprecipitation of δ-catenin from primary cortical neurons confirmed the association of δ-catenin with APC, β-catenin and GSK-3β (Fig. 6A). Next we performed co-immunoprecipitation experiments to determine if δ-catenin expression enhanced the interactions among β-catenin, GSK-3β and APC. We used PC12 cells stably overexpressing δ-catenin under the control of a tetracycline-regulated transactivator system (Lu et al., 2002). Western blot analysis of proteins immunoprecipitated from cell lysates by anti-β-catenin indicated higher levels of GSK-3β and APC in PC12 cells overexpressing δ-catenin (PC12-δ-cat) compared to PC12 controls (Fig. 6B). Reverse co-immunoprecipitation by anti-GSK-3β confirmed the increased association of GSK-3β with β-catenin in PC12-δ-cat compared to controls PC12 cells (Fig. 6C); however, APC levels were not different between PC12-δ-cat and PC12 cells (Fig. 6C), suggesting that δ-catenin expression does not affect GSK-3β and APC interactions.
We then examined if δ-catenin expression affected β-catenin ubiquitination by transfecting NIH 3T3 cells with δ-catenin (δ-cat) or vector alone (control). Transfected cells were treated with ALLN as indicated, and Western blot analysis showed additional slower migrating β-catenin forms when δ-catenin was overexpressed (Fig. 7A, arrows). These higher molecular weight forms of β-catenin are indicative of ubiquitination (Aberle et al., 1997). Similar results of increased ubiquitination of β-catenin were observed using PC12 cells overexpressing δ-catenin (Fig. 7B, β-catenin, arrows). In addition, immunoblot analysis using a phospho-β-catenin (Ser33,37/Thr41) antibody, corresponding to phosphorylation sites by GSK-3β, showed an enhanced signal in PC12-δ-cat compared to PC12 controls (Fig. 7B, β-cateninp, arrows). To verify this effect using cells endogenously expressing δ-catenin, we altered δ-catenin expression in primary cortical neurons by transfecting them with either vector alone (control) or siRNA targeted against δ-catenin. Anti-β-catenin immunoblotting showed decreased levels of the slower migrating β-catenin forms (decreased ubiquitination) when δ-catenin expression was reduced (Fig. 7C, arrows). Anti-actin was used as a loading control for Western blot analysis and was used as reference to determine δ-catenin knock-down efficiency (Fig. 7C and D). Although individual experiments did not show robust knock-down for endogenous δ-catenin, overall trends were clear and β-catenin showed decreased ubiquitination (Fig 7D, right panel), Therefore, the results from all these three cell model systems indicated that δ-catenin expression effected β-catenin ubiquitination.
δ-Catenin expression promotes β-catenin turnover
Since δ-catenin expression increased β-catenin-GSK-3β interactions as well as β-catenin ubiquitination, we sought to determine what effect δ-catenin expression had on β-catenin turnover. Cells were treated with cycloheximide to block protein synthesis, and then cell lysates taken at different time points were analyzed by Western blot analysis with antibodies to β-catenin according to a previously established procedure (Kim et al., 2006a). β-Catenin turnover was increased in PC12-δ-cat cells when compared to PC12 controls (Fig. 8A and B). δ-Catenin expression reduced the half-life of β-catenin from 12 hours to less than 8 hours (Fig. 8B).
Discussion
In this study we examined the hypothesis that GSK-3β regulates δ-catenin expression by changing its stability in neuronal cells. We demonstrated that δ-catenin is associated with GSK-3β, is ubiquitinated, and undergoes proteosome-mediated degradation. Our studies also provided evidence that δ-catenin expression affects β-catenin-GSK-3β interactions as well as β-catenin ubiquitination and turnover. Our data in corroboration with others support a model where the GSK-3β molecular destruction complex is associated with the regulation of δ-catenin and β-catenin in neuronal cells (Votin et al., 2005).
We found that δ-catenin expression levels were correlated with GSK-3β activity when neurons were treated with various pharmacological agents to modulate GSK-3β activity. Interestingly, we found that only low doses of LiCl (up to 3mM) resulted in increased δ-catenin expression, whereas higher doses of LiCl reduced δ-catenin levels. It is known that the degree of GSK-3β inhibition is associated with dramatically different morphological presentations in neurons. Previous reports show that while partial inhibition of GSK-3β favors process extension of neurites from developing neurons, complete inactivation of GSK-3β leads to impaired neurite growth (Munoz-Montano et al., 1999; Kim et al., 2006b). It is also well established that δ-catenin expression is capable of inducing process elongation and branching in cells (Kim et al., 2002; Martinez et al., 2003; Kim et al., 2008). Therefore, our data which supports that partial inhibition of GSK-3β increases δ-catenin expression, raises an interesting possibility that δ-catenin may be an important downstream target of GSK-3β signaling that participates in modulating neuronal morphology.
There is growing evidence that the regulated degradation of proteins by localized control of GSK-3β activity and activation of the ubiquitin-proteosome pathway may be an important modulator of synaptic plasticity and neuronal morphology (Zhou et al., 2004; Bingol and Schuman, 2005). Several studies show that synaptic activity drives the ubiquitin machinery and β-catenin into neuronal spines which promotes changes in neurite morphology (Bozdagi et al., 2000; Murase et al., 2002). Here we demonstrated that the ubiquitin-proteosome pathway is one such element involved in regulating the turnover of δ-catenin. As a newly identified component of this signaling, adequate changes in δ-catenin expression have been associated with normal neuronal development, function, and dendritic arborization (Ho et al., 2000; Israely et al., 2004; Kim et al., 2002). Given that δ-catenin is localized to the post-synaptic compartment and undergoes rapid redistribution with synaptic activity (Jones et al., 2002), it suggests that signaling control of δ-catenin turnover may be an important localized event influencing synaptic structures and dendritic morphogenesis. Future experiments to address the localization and time-dependent nature of this signaling, through the identification of ubiquitin ligases and other kinases that contribute to promoting catenin turnover will help in elucidating the roles of δ-catenin in neuronal morphogenesis and function.
Our data supports that δ-catenin may be a new member of the GSK-3β molecular destruction complex involved in promoting β-catenin turnover. In this complex, GSK-3β phosphorylates β-catenin which is facilitated by APC (Munemitsu et al., 1995; Rubinfeld et al., 1996). Previous studies demonstrate that β-catenin and APC are enriched in the growth cones of axons and display a punctuated pattern along the dendritic processes in primary mouse neuronal cultures (Morrison et al., 1997; Zhou et al., 2004; Shimomura et al., 2005). δ-Catenin is preferentially localized to dendrite in mature neurons and also displays a similar punctuate distribution pattern (Lu et al., 1999; Ho et al., 2000). In this study, we showed by immunofluorescent light microscopy that endogenous δ-catenin partially co-localizes with β-catenin, APC, and GSK-3β in the processes of primary hippocampal neurons. We also demonstrated that both endogenous and exogenous δ-catenin co-immunoprecipitates with β-catenin, APC, and GSK-3β in neuronal cells, identifying a new association between δ-catenin and molecular members of the destruction complex.
Regulation of the destruction complex and its central role in ubiquitin-dependent destabilization of β-catenin has largely been studied in the context of oncogenesis and embryogenesis due to its role in transcriptional regulation (Cadigan and Nusse, 1997; Polakis, 2000). There is emerging evidence to suggest that the destruction complex molecules play an important role in neuronal function and that stabilized β-catenin can inhibit neurite outgrowth independent of its transcriptional activity (Pollack et al., 1997; Krylova et al., 2002; Yu and Malenka, 2003; Zhou et al., 2004; Votin et al., 2005). We found that overexpression of δ-catenin led to a greater interaction between β-catenin and GSK-3β and enhanced β-catenin phosphorylation and ubiquitination. In addition, overexpression of δ-catenin promoted the turnover of β-catenin in PC12 cells. Taken together, our data highlight the importance of proper δ-catenin expression for promoting β-catenin turnover and suggest that aberrant δ-catenin expression may be associated with altered efficiency of the destruction complex effecting β-catenin stability which has been shown to negatively regulate neurite outgrowth and function (Votin et al., 2005).
There are several lines of evidence that support our finding that δ-catenin and β-catenin stability is controlled by similar mechanisms. First, δ-catenin and β-catenin share several binding partners, which include PS-1, S-SCAM, and cadherin (Levesque et al.,1999; Ide et al., 1999). Of these partners, PS-1 has been implicated in the turnover of both δ-catenin and β-catenin, and pathogenic mutations in PS-1 have been associated with enhanced δ-catenin and β-catenin destabilization (Kim et al., 2006a; Zhang et al., 1998). PS-1 proteins are located in the plasma membrane and participate in the cleavage of transmembrane proteins (Georgakopoulos et al., 1999; Kaether et al., 2006). Since neither δ-catenin nor β-catenin fulfill the classical criteria of PS-1/γ-secretase substrate for intramembranous proteolysis, an alternative role for PS-1 may need to be defined in the turnover of δ-catenin and β-catenin. Previous reports demonstrate that GSK-3β, β-catenin, and δ-catenin all bind to the hydrophilic loop region of PS-1 (Takashima et al., 1998; Murayama et al., 1997; Yu et al., 1998; Tanahashi and Tabira, 1999; Levesque et al., 1999). Therefore PS-1 may act as a scaffolding molecule for the destruction complex molecules, thereby participating in the turnover of δ-catenin and β-catenin. For example, δ-catenin may compete with β-catenin for the same binding site on PS-1, which could make β-catenin more vulnerable to cytoplasmic proteasome-mediated degradation. In support of this hypothesis, several reports demonstrate that PS-1 is associated with GSK-3β, which modulates the turnover of β-catenin (Kang et al., 1999; Takashima et al., 1998; Twomey and McCarthy, 2006; Prager et al., 2007). Further studies are needed to address the role of PS-1 in the regulation of GSK-3β, β-catenin, and δ-catenin at the plasma membranes as well as its role in signaling events, which contribute to time-dependent association or disassociation of these molecules.
Therefore, our studies are consistent with the literature that proteins of the destruction complex, such as GSK-3β and APC, can regulate levels of β-catenin (Munemitsu et al. 1995). Our studies demonstrate that δ-catenin is a new member in this complex that may participate in modulating signaling on β-catenin. We propose that δ-catenin expression facilitates the GSK-3β-β-catenin interaction, leading to enhanced ubiquitination and degradation of β-catenin.
Acknowledgments
Grant sponsor: NIH/NCI; Grant number: CA111891
Grant sponsor: NIH/NIA; Grant number: AG026630
We would like to thank Dr. Warren Knudson for helpful discussions, and Melissa Clark and Christi Boykin for technical assistance. This study was supported in part by NIH/NCI (CA111891) and NIH/NIA (026630) grants (Q.L.).
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