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Vol. 20, Issue 6, 1715-1727, March 15, 2009
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*Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias, Universidad de Extremadura, 06071 Badajoz, Spain; and
Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas-Universidad de Salamanca, Campus Unamuno, 37007 Salamanca, Spain
Submitted May 2, 2008;
Revised December 2, 2008;
Accepted January 8, 2009
Monitoring Editor: Josephine C. Adams
| ABSTRACT |
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| INTRODUCTION |
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Several reports have implicated AhR in the regulation of cell morphology and migration in mammals and in Caenorhabditis elegans (Qin and Powell-Coffman, 2004
; Barouki et al., 2007
), although the mechanisms involved remain rather obscure. Recent data have shown that the effects of AhR on the shape and motility of MCF-7 breast cancer cells are mediated via the c-Jun N-terminal kinase (Diry et al., 2006
), a downstream element of the Rac1 pathway (Bustelo et al., 2007
). We have also recently shown that immortalized mouse fibroblasts lacking AhR expression (T-FGM AhR–/–) display a flattened morphology, increased stress fibers, and impaired migration (Mulero-Navarro et al., 2005
). Moreover, T-FGM AhR–/– cells had lower focal adhesion kinase phosphorylation and decreased Rac1, phosphatidylinositol 3-kinase, and extracellular signal-regulated kinase activities (Mulero-Navarro et al., 2005
).
Cell morphology is the result of complex signaling pathways that act in concert to regulate F-actin dynamics and the turnover of cell–cell and cell–substratum interactions (Mitra et al., 2005
). The strength and extent of cell–substratum interactions significantly determines cell migration and can be highly relevant in processes requiring major changes in plasticity such as the epithelial-to-mesenchymal transition (EMT) (Li et al., 2005
). Many proteins coordinately interact next to the plasma membrane to regulate cell adhesion and migration. Rho/Rac GTPases such as RhoA, Rac1, and Cdc42 are relevant players in this process (Clark et al., 1998
; Nobes and Hall, 1999
). Thus, it has been shown that RhoA regulates the formation of F-actin stress fibers and focal adhesions (Ridley and Hall, 1992
; Chen et al., 2002
), that Rac1 promotes the formation of lamellipodia and membrane ruffles (Ridley et al., 1992
; Nobes and Hall, 1999
), and that Cdc42 induced de formation of filopodia (Fukata et al., 2003
; Disanza et al., 2006
). To ensure coordinated cytoskeleton changes, there are multiple cross-talks between RhoA, Rac1, and other GTPases. For example, it is known that Rac1 stimulation leads to the down-modulation of RhoA activity and, as a consequence, to the reduction in stress fibers and focal adhesions in certain cell types (Rottner et al., 1999
; Sander et al., 1999
). As most Ras family members, Rho/Rac proteins have to cycle between an inactive (guanosine diphosphate [GDP]-bound) and an active (guanosine triphosphate [GTP]-bound) states. This cycling is modulated by different regulators. GDP/GTP exchange factors (GEFs) catalyze the exchange of GDP by GTP on the GTPases, thus favoring the rapid transition of these GTPases to their activated state during cell signaling. Instead, GTPase-activating proteins (GAPs) enhance the intrinsic GTPase activity of Rho/Rac proteins, a process that is essential for the hydrolysis of the bound GTP and therefore for the transition from the active to the inactive state at the end of the stimulation cycle. Rho/Rac proteins are also regulated by other processes, such as cytosolic sequestration (via GDP dissociation inhibitor proteins), ubiquitin-mediated degradation, gene expression, and phosphorylation (Bustelo et al., 2007
). When in the active state, these proteins bind to effector molecules that modulate many different biological processes such as cytoskeleton changes, gene transcription, vesicle trafficking, and cell proliferation (Bustelo et al., 2007
).
To shed further light in the mechanism by which AhR mediates these cytoskeleton-related events, we have studied the effect of AhR gene deficiency in cell shape, adhesion, and F-actin structures of both immortalized and primary fibroblasts. Furthermore, the use of microarray- and signaling-based strategies has allowed us to pinpoint the connection of AhR with the vav3 proto-oncogene product, a phosphorylation-dependent exchange factor for Rho/Rac GTPases.
| MATERIALS AND METHODS |
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Antibodies and Reagents
Antibody to paxillin was from BD Biosciences Transduction Laboratories (Lexington, KY). Anti-vinculin and anti-β-actin were from Sigma-Aldrich (St. Louis, MO). Anti-RhoA and anti-Rac1 were purchased from Cell Signaling Technology (Beverly, MA). Anti-Net1 was obtained from Santa Cruz Biotechnology (Santa Cruz, CA). Rhodamine-labeled phalloidin was from Invitrogen (Carlsbad, CA). Taq DNA polymerase was from Ecogen (Barcelona, Spain). SuperScript II reverse transcriptase was purchased from Invitrogen. SYBR Green I was obtained from Invitrogen and QTaq DNA Polymerase mix from BD Biosciences (San Jose, CA). NSC23766 and Y27632 were obtained from Calbiochem (San Diego, CA). The expression construct for the constitutively active AhR (CA-AhR) was a generous gift from Dr. Fujii-Kuriyama (University of Tsukuba, Japan), and it was produced from the wild-type AhR by deleting the minimal PAS-B motif and by ligating the resulting construct to the green fluorescent protein (EGFP) (Ito et al., 2004
).
SDS-Polyacrylamide Gel Electrophoresis (PAGE) and Western Immunoblotting
SDS-PAGE and Western blotting were performed using total cell extracts, as described previously (Santiago-Josefat et al., 2004
; Mulero-Navarro et al., 2005
).
Measurement of Cell Area, Immunocytochemistry, and Rhodamine-Phalloidin Staining
Cell area and the minor/major axis ratio were measured in AhR+/+ and AhR–/– T-FGM cells and MEFs by blinded analysis in different random fields for each cell culture. Cellular contour and axis were determined using the ImageJ software (National Institutes of Health, Bethesda, MD). Significance of the data was determined as indicated below (see Statistical Analyses). Fluorescence-activated cell cytometry (FACS) was used to determine that T-FGM AhR+/+ and T-FGM AhR–/– had similar cell volume. For immunocytochemistry, cultures were fixed for 20 min at room temperature in 4% paraformaldehyde (Polysciences, Warrington, PA). Vinculin and paxillin immunostaining was used to locate focal adhesions in T-FGM cells and MEFs as reported previously (Santiago-Josefat et al., 2004
). To label actin stress fibers, T-FGM fibroblasts and MEF cells were also stained with rhodamin-phalloidin (Invitrogen) as indicated (Mulero-Navarro et al., 2005
). Fluorescence microscopy images were taken using an Axioplan epifluorescence microscope (Carl Zeiss, Jena, Germany) equipped with Plan-Neufluoar lenses with magnifications of 20x (0.50 aperture) and 40x (0.75 aperture). Pictures were also taken using a Plan Apochromat 63x lens (1.40 aperture). Fluorochromes used were Alexa 488, rhodamine, EGFP, and enhanced yellow fluorescent protein (EYFP). Images were captured with a CoolSNAP camera (RS Photometrics, Tucson, AZ) and analyzed using the RS software.
Expression Constructs, Transient Transfections, and RNA Interference
To generate a vector encoding the AhR-EYFP fusion protein, the full-length AhR cDNA was cloned into the pEYFP vector as indicated previously (Santiago-Josefat et al., 2001
). To generate a mammalian expression vector for CA-AhR-EYFP, a modified AhR cDNA encoding a constitutively active version of the receptor was amplified by polymerase chain reaction (PCR) from pEFBOS-mAhR-CA and cloned into pEYFP by using previously described protocols (Santiago-Josefat et al., 2001
). Transient transfections were performed in T-FGM by using the Lipofectamine Plus reagent (Invitrogen) and 1 µg of AhR-EYFP, CA-AhR-EYFP, or Vav3-EGFP expression vectors (Movilla and Bustelo, 1999
). Protein expression was maintained for 24 h, and cultures were analyzed by fluorescence microscopy as indicated below. vav3 siRNA experiments were done in T-FGM cells by transient transfection of either 20 or 100 nM of commercially available siGenome on-Target plus Smart pool (Dharmacon RNA Technologies, Lafayette, CO). Negative control experiments were also performed in parallel by transient transfection of unspecific scramble siRNAs (Dharmacon RNA Technologies).
Reverse Transcription and Real-Time PCR
Total RNA was isolated from T-FGM fibroblasts and MEF cultures by using the RNeasy kit (QIAGEN, Hilden, Germany). Reverse transcription was performed using random hexamers priming and SuperScript II transcriptase as indicated previosly (Gomez-Duran et al., 2006
). Real-time PCR was performed to quantify the expression levels of the vav3 and Cyp1a1 mRNAs. Primers for vav3 were 5'-GGAGTGGAGTCAGCCATCTC-3' (forward) and 5'-ATTGGAACGACCAGCAAATC-3' (reverse). For Cyp1a1 were 5'-ACAGACAGCCTCATTGAGCA-3' (forward) and 5'-GGCTCCACGAGATAGCAGTT-3' (reverse). We used the expression of the β-actin mRNA as normalization control. This cDNA was amplified using the oligonucleotides 5'-GGTCAGAAGGACTCCTATGTGG-3' (forward) and 5'-TCCCTCTCAGCTGTGGTGGT-3' (reverse). Reactions were done using SYBR Green I/QTaq DNA Polymerase Mix (BD Biosciences) on an iCycler equipment (Bio-Rad, Hercules, CA), as described previously (Gomez-Duran et al., 2006
).
Cloning of the vav3 Promoter, Reporter Gene Analyses, and Chromatin Immunoprecipitation
The mouse vav3 promoter was cloned from the genomic sequence included in the WI1-2862P14 phosmid vector (Wellcome Trust Sanger Institute, Cambridge, United Kingdom). Briefly, the WI1-2862P14 clone was digested with BglII and a 3574-base pair fragment containing the vav3 promoter cloned into the pGL2-Basic vector. The resulting clone was then digested with BglII + BstEII and a 2005-base pair fragment isolated and made blunt ended with Klenow DNA polymerase. The 2005-base pair fragment was finally ligated into the SmaI-digested pGL2-Basic vector. The vav3 promoter sequence was analyzed for potential XRE binding sites by using the consensus element 5'-GCGTG-3'. Correct orientation of the vav3 promoter was confirmed by digestion with a panel of restriction endonucleases. Luciferase reporter gene assays were done as indicated previously (Roman et al., 2008
) by using the dual-glow luciferase kit (Promega, Madison, WI). The pRLTK vector was used as normalization control. Firefly and Renilla luciferase activities were determined in a microtiter plate luminometer MLX (Dynex Technologies, Chantilly, VA). Chromatin immunoprecipitation (ChIP) to analyze AhR binding to the vav3 promoter was performed essentially as described previously (Mulero-Navarro et al., 2006
; Roman et al., 2008
). Oligonucleotides used for PCR were as follows: XRE1 forward 5'-TCATCCGAGGGTTCACG-3' and reverse 5'-GCACTGGCTTCCGACTG-3'; XRE2 forward 5'-AACCTACTTCTTTCCCTCTAC-3' and reverse 5'-GGTCCATCCTCAGCCCCTTCC-3'; XRE3-4 forward 5'-TCCTTAGGCTGATTTATTATTGTT-3' and reverse 5'-GCTGCTGCTGTTTCATTAGAT-3'.
Site-directed Mutagenesis
The XRE1 site in the proximal vav3 promoter was inactivated by site-directed mutagenesis changing the consensus sequence for AhR binding 5' CACGC 3' to 5' CAGGA 3' by PCR (Gomez-Duran et al., 2008a
) (mutated bases underlined). Briefly, the pGL2-Vav3 full-length construct was partially digested with BglI and the linealized DNA further cut with PstI. This fragment was amplified by PCR using the oligonucleotides forward 5'-CCAGCCAGGGCGGCGGGCAGGATCCCACCCG 3' and reverse 5' CCGGCCGCCGCTGCAGCAGCGAGTGCC 3'. Amplification was carried out for 30 cycles in 50-µl reaction mixture containing 10 mM Tris-HCl, pH 8.3, 50 mM KCl, 1.5 mM MgCl2, 0.2 mM each dNTP, 0.5 µM each primer, and 2.5 U of Taq polymerase. Cycling conditions were as follows: denaturation at 94°C for 1 min, annealing at 60°C for 1 min, and extension at 72°C for 1 min. This PCR fragment was then digested with BglI and PstI and cloned into the pGL2-Basic vector cut previously with the same restriction endonucleases. The resulting reporter construct (pGL2-Vav3-mutXRE1) was transiently transfected into Hepa 1c1c7 and c2 hepatoma cell lines as described above.
Cell Adhesion and Cell Detachment Assays
Cell adhesion was performed on plastic or fibronectin-coated culture dishes. Twelve-well plates were coated with 0.04, 0.2, 0.7, 1, 4, or 10 µg/ml fibronectin. After washing with phosphate-buffered saline (PBS) and culture medium, T-FGM cells and MEFs were seeded at 3 x 105 cells/well. After an incubation of 15 min (T-FGM cells) or 1 h (MEFs), cells were washed in PBS and fixed overnight at 4°C in 3.7% paraformaldehyde. Cultures were then stained for 15 min with crystal violet (20% methanol solution). After washing and drying, attached and expanded cells were counted de visu by using light microscopy. Cell adhesion on plastic was done as above using untreated culture plates. Cell detachment experiments were also done on plastic using cultures seeded at the same cell density. After treatment for the indicated periods with a solution containing 4 mM EGTA and 1 mM MgCl2, cultures were fixed in ice-cold methanol and stained with 4',6-diamidino-2-phenylindole (DAPI). Cells that remained attached were counted using the ImageJ software.
RhoA and Rac1 Activation Assays
Pull-down assays with a glutathione transferase (GST) fusion protein containing the RhoA binding domain of rhotekin (rhotekin-GST) or the Rac1 binding domain of PAK-CRIB (PAK-CRIB-GST) were performed essentially as described previously (Mulero-Navarro et al., 2005
). Samples were analyzed for activated and total RhoA and Rac1 by Western immunoblotting using specific antibodies.
Microarray Experiments
Two-color cDNA microarrays containing probes for 15,000 mouse genes were used. Total RNA isolation, labeling, hybridization, normalization, and differential expression analyses were made as described previously (Martinez-Delgado et al., 2004
).
Statistical Analyses
Data are shown as mean ± SEM. Statistical comparison between experimental conditions was done using GraphPad Prism 4.0 software (GraphPad Software, San Diego, CA). One-way analysis of variance followed by Dunn's test was applied. For the analyses of cell area and minor/major axis ratio, the Mann–Whitney nonparametric median statistical analysis was used.
| RESULTS |
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AhR Regulates the Constitutive Transcription of Vav3, which Is a Major Intermediate Modulating the AhR-dependent Phenotype
Because the expression levels of Rac1 and RhoA did not change depending on the AhR status of the cell (see above), we speculated that the variations in the activities of their signal transduction pathways could be mediated by alterations in upstream molecules (GEFs), negative regulators (i.e., GAPs), and/or downstream elements. Given the large number of putative AhR targets, we decided to conduct microarray experiments to obtain a global, genome-wide view of the transcriptomal differences present in T-FGM AhR+/+ and T-FGM AhR–/– cells. The functional annotation of the transcriptomal changes indicated that the AhR deficiency induced the down-modulation of a subset of RhoA (Net1) (Alberts and Treisman, 1998
), Rac1 (Sos1, Vav3, and Abr) (Chuang et al., 1995
; Nimnual et al., 1998
; Bustelo, 2000
), and Ras (Sos1) (Boguski and McCormick, 1993
) GEFs as well as of two Rab family members (Rab1 and Rab9) (Figure 8A). In addition, it up-regulated the expression of two Rho/Rac GAPs (ArhGAP18 and ArhGAP20) and the Rab8 GTPase (Figure 8A). Two main regulators of RhoA and Rac1 GTPases that seemed markedly repressed in T-FGM AhR–/– cells were Vav3 and Net1 (Burridge and Wennerberg, 2004
). Given previous results indicating the importance of Vav3 in cytoskeleton organization (Movilla and Bustelo, 1999
; Hornstein et al., 2004
; Couceiro et al., 2005
) and its marked down-regulation in T-FGM AhR–/– cells, we decided to verify whether the modulation of this exchange factor by AhR could be a component of the cytoskeleton-related effects of this transcriptional factor. To this end, we first investigated whether the vav3 proto-oncogene was indeed a potential AhR transcriptional target. Consistent with the microarray results, we observed that the vav3 transcript was remarkably decreased in AhR–/– T-FGM and MEFs cells, as determined by quantitative, real-time PCR analysis (Figure 8B, left and middle). Importantly, unlike other classical AhR targets such as Cyp1a1 (Figure 8B, right) (Hankinson, 1995
; Whitlock, 1999
; Nebert et al., 2004
), the expression of the vav3 mRNA could not be enhanced by the addition of the AhR ligand TCDD to T-FGM AhR+/+ cells (Figure 8B, left and middle). These results indicate that AhR functions as a transcription factor committed to maintain the constitutive expression of vav3, and suggest a relevant role for the physiological levels of Vav3 in the regulation of the AhR-dependent phenotype. Regarding Net1, we have analyzed protein expression by Western immunoblotting and found that, although repressed in our cDNA expression arrays, Net1 had similar protein levels in T-FGM AhR+/+ and T-FGM AhR–/– (Figure 8C). Even though the regulation of Net1 could deserve further analysis, based on its similar protein levels in T-FGM AhR+/+ and T-FGM AhR–/– fibroblasts, we focused our study on Vav3.
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30% its basal levels in T-FGM AhR+/+ cells (p < 0.05) (Figure 10A). Notably, vav3 knockdown induced a shift in the morphology of T-FGM cells from the wild-type to the AhR-null-like phenotype (Figure 10B). This change included the increase in cell area (Figure 10B, compare a with c and d and e with g and h), the promotion of stress fiber formation (Figure 10B, compare a with c and d), increased numbers of focal adhesions that localize around the cell edges (Figure 10B, compare e with g and h), and cell depolarization (Figure 10B, compare e with g and h). Transfection of unspecific scramble siRNAs, on the contrary, did not change these phenotypes in T-FGM AhR+/+ cells (Figure 10B, b and f). We then analyzed whether knockdown of Vav3 expression in fact affected its downstream target proteins RhoA and Rac1. Consistent with the role proposed for Vav3 in the regulation of the Rac1 and RhoA signaling pathways, down-modulation of Vav3 protein levels by vav3 siRNAs had an effect on these GTPases, and thus RhoA activation was increased, whereas Rac1 activation was decreased in transfected T-FGM AhR+/+ cells (Figure 10C). As indicated above, transfection of unspecific scramble siRNAs did not affect RhoA or Rac1 activation in T-FGM fibroblasts of either genotype (Figure 10C). We also confirmed that Rac1 has a prominent role in the phenotypic changes induced by NSC23766 in T-FGM AhR+/+ cells (Figure 7B) because this molecule decreased Rac1 activity in our pull-down assays (Figure 10C, bottom right). These results support that AhR, through the control of constitutive Vav3 expression and by modulating the activation of its downstream target proteins RhoA and Rac1, has a relevant role in determining fibroblast cell phenotype. In addition, because Vav3 can be regulated by phosphorylation (Bustelo, 2002
1-184 deletion mutant). We found that Vav3 overexpression produced the same morphological alteration in T-FGM fibroblasts regardless on their AhR status (Supplemental Figure S5), suggesting that conditions in which Vav3 activity largely exceeds its constitutive cellular levels, could abolish the physiological control of cell morphology making the process AhR independent. We used an additional experimental approach to further support that overactivation of Vav3 signaling alters cell morphology independently of AhR. Because Vav3 overactivation should increase the activity of its downstream client protein Rac1, transfection of a constitutively active form of Rac1 should also induce a phenotypic change regardless of AhR expression. T-FGM AhR+/+ and T-FGM AhR–/– cells were transfected with a wild-type or a constitutively active form of Rac1 and their effects on cell morphology analyzed (Supplemental Figure S6). Transfection of wild-type Rac1 did not significantly change the basal morphology of T-FGM AhR+/+ and T-FGM AhR–/– cells (Supplemental Figure S6A). However, the constitutively active version of Rac1 (V12Rac1; del Pozo et al., 1999
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| DISCUSSION |
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Consistent with a link between AhR and cytoskeleton-related processes, we report here that AhR status affects cell shape, F-actin cytoskeleton, adhesion, and spreading of murine fibroblasts. A first indication of the mechanism through which AhR can modulate cell morphology and adhesion comes from our results with the constitutively active AhR protein. The expression of constitutively active AhR in AhR–/– fibroblasts rescues the morphological phenotype of these cells, suggesting that the process requires the transcriptional activity of the receptor. The spread morphology of AhR–/– cells was associated to prominent actin stress fibers and to increased numbers of focal adhesions with a depolarized distribution around the cell area. Focal adhesions are major structures for cell–substratum interaction (Sieg et al., 1999
; Schaller, 2001
) and, indeed, spreading and attachment were significantly enhanced in AhR-null with respect to wild-type cells. These are relevant data that could help interpreting the lower migration rates observed in T-FGM AhR–/– fibroblasts (Mulero-Navarro et al., 2005
) and MEF AhR–/– cells (Carvajal-Gonzalez, unpublished data).
Rac1 and RhoA play crucial roles in cell migration, polarity, adhesion, and cytoskeleton reorganization (Nobes and Hall, 1999
; Bishop and Hall, 2000
). The importance of these GTPases in determining AhR-dependent morphology was confirmed by two facts: 1) more spread and highly attached T-FGM AhR–/– cells had higher RhoA and lower Rac1 activation than wild-type fibroblasts and 2) the Rac1 inhibitor NSC23766 changed the morphology of AhR+/+ fibroblasts to that of AhR–/– cells, whereas the RhoA kinase inhibitor Y27632 did the opposite and transformed AhR-null cells into the wild-type phenotype. Moreover, these results are in close agreement with previous data indicating that Rac1 and RhoA have antagonistic effects in different cell types (Leeuwen et al., 1997
; Sander et al., 1999
). Interestingly, however, protein expression for Rac1 and RhoA was similar between T-FGM AhR+/+ and T-FGM AhR–/– cells, suggesting that AhR regulated these GTPases at the level of their activation and/or downstream elements. To find possible targets, we carried out expression microarrays in T-FGM AhR+/+ and T-FGM AhR–/– cells and searched for GTPases and/or GTPase regulators. This analysis indicated that the phosphorylation-dependent exchange factors Vav3 and Net 1 (Movilla and Bustelo, 1999
; Hornstein et al., 2004
) were significantly down-regulated in AhR–/– cells. We focused on Vav3 because Net1 protein levels did not significantly differ between T-FGM AhR+/+ and T-FGM AhR–/– cells. Cloning of the murine vav3 promoter revealed that AhR expression increases vav3 promoter activity and that AhR is recruited to a proximal XRE element in the vav3 promoter. Interestingly, the high-affinity AhR ligand TCDD did not increase the AhR-dependent vav3 expression, suggesting not only that AhR is committed to regulate constitutive gene transcription of vav3 but also that the physiological levels of Vav3 could be relevant to mediate the effects of AhR on cell phenotype.
The constitutive transcription of Vav3 has been related to the reorganization of actin stress fibers and to the formation of lamellipodia and membrane ruffles (Movilla and Bustelo, 1999
; Bustelo, 2000
) and, as such, represents a candidate target gene whose regulation by AhR could modulate cell morphology, adhesion, and spreading. We hypothesized that the down-regulation of vav3 mRNA and protein in fibroblasts could account for the cytoskeleton-dependent changes observed in AhR-deficient cells. Indeed, siRNA-based experiments, which down-regulate the physiological levels of target genes, demonstrated that this exchange factor represents an important intermediary in the AhR-dependent signaling pathways determining cell morphology. Thus, we observed that down-regulation of Vav3 in T-FGM AhR+/+ cells induced a T-FGM AhR-null-like phenotype regarding cell shape, cytoskeleton organization, polarity, adhesion, and spreading that was consistent with the changes observed in the activation of the Vav3 downstream GTPases Rac1 and RhoA. The fact that overexpression of the wild-type or a constitutively active Vav3 or a constitutively active form of Rac1 changed cell morphology independently on AhR expression, further support the hypothesis that the physiological level of Vav3 is a highly regulated parameter in the AhR-dependent modulation of cellular morphology. Indeed, vav3–/– MEFs mimicked the AhR–/– phenotype with respect to increased cell area and enhanced actin stress fibers content, strongly indicating not only that Vav3 is a downstream target of AhR but also that constitutive Vav3 levels are required to maintain fibroblast morphology and cytoskeleton. Therefore, the AhR-dependent phenotype for cell morphology, adhesion, and spreading is controlled, at least in part, by the precise regulation of the physiological levels of the exchange factor Vav3. This is a relevant example of how AhR can modulate physiologically defined cellular properties through the transcriptional regulation of an endogenous target gene that controls migration-related signaling pathways. Although these data attribute a relevant role for the transcriptional activity of AhR in determining cell phenotype, additional, transcription-independent mechanisms, cannot yet be excluded. For example, as a cullin 4B ubiquitin ligase (Ohtake et al., 2007
), the liganded AhR could regulate the levels of migration-related proteins through the proteasome by a mechanism similar to that demonstrated previously for sex steroid receptors (Ohtake et al., 2007
).
It is worth noting that our data do not exclude the participation of other signaling molecules in the AhR-mediated cytoskeleton effects in fibroblasts. For example, scaffolding proteins such as vinculin or other GEFs and GAPs are also dependent on the presence of AhR, at least in the case of fibroblasts. It is therefore possible that these additional proteins could cooperate with, or participate in parallel pathways, to those already engaged by Vav3. Further work in this area will address this possibility and unveil the level of cross-talk and cooperativity between these pathways. Given the important role of Rho/Rac pathways in pathologies such as cancer, immunodeficiencies or cardiovascular disease, it will be also interesting to see whether AhR may contribute to the regulation of those pathways in the context of these pathological states.
| ACKNOWLEDGMENTS |
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tica de Investigación Cooperativa en Cáncer (RTICC) (RD06/0020/1016, Fondo de Investigaciones Sanitarias (FIS), Carlos III Institute, Spanish Ministry of Health) and by grants to X.R.B. from the US National Cancer Institute/NIH (5R01-CA73735-11), the Spanish Ministry of Education and Science (MES) (SAF2006-01789), the Castilla-León Autonomous Government (SA053A05), and the Red Tem
tica de Investigación Cooperativa en Cáncer (RTICC) (RD06/0020/0001, Fondo de Investigaciones Sanitarias (FIS), Carlos III Institute, Spanish Ministry of Health). J.M.C.-G. and A.C.R. were supported by fellowships from the Junta de Extremadura and the SMES, respectively. V. S. has been partially supported by the SMES Juan de la Cierva program and the National Institutes of Health. All Spanish funding is cosponsored by the European Union FEDER program. | Footnotes |
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Address correspondence to: Pedro M. Fernandez-Salguero (pmfersal{at}unex.es)
Abbreviations used: AhR, aryl hydrocarbon (dioxin) receptor; FGM, immortalized mouse fibroblasts; FN, fibronectin; GAP, GTPase-activating protein; GEF, guanosine diphosphate/guanosine triphosphate exchange factor; MEF, mouse embryonic fibroblast; YFP, yellow fluorescent protein.
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