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J. Biol. Chem., Vol. 282, Issue 41, 30062-30069, October 12, 2007
Allosteric Transinhibition by Specific Antagonists in CCR2/CXCR4 Heterodimers*
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| ABSTRACT |
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| INTRODUCTION |
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CCR2 is a member of the CC chemokine receptor family that plays an important role in the recruitment of monocytes to atherosclerotic lesions and in the formation of intimal hyperplasia after arterial injury (3). Two isoforms of CCR2 have been described that are generated by alternative splicing and differ in their C-terminal tail, but only the longer variant (CCR2b) is expressed at high level in leukocytes. CCR2 interacts with MCP-1 (CCL2) and other CC chemokines such as MCP-2 (CCL7), MCP-3 (CCL8), and MCP-4 (CCL13) (4). CCR2 was shown to form homodimers, as well as heterodimers with CCR5, its closest structural relative within the chemokine receptor family, resulting in a negative binding cooperativity of allosteric nature (5–8). CCR2 was also reported recently to form heterodimers with CXCR4, a more distantly related chemokine receptor (9). However, no pharmacological characterization of this heterodimer was performed so far. CXCR4 binds specifically SDF-1
, an evolutionary conserved chemokine known to play a role in a number of physiological processes, such as the homing of T cell populations to sites of inflammation and the maintenance of the cellular microenvironment in bone marrow (10). SDF-1
and CXCR4 have also been shown to control the migration of neuronal cell populations during brain development (11), to regulate the growth and/or survival of tumoral cells (12, 13), and to play a role in the metastatic spread of various tumors (14, 15). In addition, CXCR4 is the main coreceptor for the T cell line tropic human immunodeficiency virus, type 1 strains (16). CXCR4 and CCR2 share only 34% of amino acid identity over their entire length. The ligand binding specificity of CCR2 and CXCR4 has been mapped to the extracellular domains of the receptors, particularly the second extracellular loop (17). Both CXCR4 and CCR2 are expressed by memory T lymphocytes and the monocyte-macrophage lineage (18, 19). As other chemokine receptors, they are coupled to the G
i class of heterotrimeric G proteins, inhibit adenylyl cyclase, promote intracellular calcium mobilization, stimulate the mitogen-activated protein kinase and phosphatidylinositol 3-kinase pathways, and promote chemotaxis. With the aim of understanding better the functional consequences of chemokine receptor oligomerization, we have generated cells coexpressing CCR2 and CXCR4 and characterized them in terms of binding and signaling properties. We confirmed that CCR2 and CXCR4 form constitutive heterodimers, which appear unaffected by chemokine stimulation. As previously described for the CCR2/CCR5 heterodimer, negative binding cooperativity was observed between CCR2 and CXCR4 when coexpressed, a receptor heterodimer binding only a single chemokine with high affinity. In addition, it was shown that specific antagonists of one receptor can inhibit the binding of chemokines to receptors on which these antagonists do not bind, resulting in a cross-inhibition of the functional response, and these observations were attributed as well to an allosteric interaction between the two binding sites of a dimer. Finally, similar observations were made on primary T cells ex vivo, demonstrating the functional relevance of CCR2/CXCR4 heterodimers in native cells.
| EXPERIMENTAL PROCEDURES |
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Cell Lines and Leukocyte Populations—CHO-K1 cells were cultured in Ham's F12 medium supplemented with 10% fetal bovine serum (Invitrogen), 100 units/ml penicillin, and 100 µg/ml streptomycin (Invitrogen). The CCR2 coding sequence was cloned between the BamHI and XbaI sites of the bicistronic expression vector pEFIB3, as described (20), and the construct was transfected by FuGENE (Roche Applied Science) into a CHO-K1 cell line expressing apoaequorin, G
16 and wild-type CXCR4. Cells expressing CCR2 were selected by 10 µg/ml blasticidin (Invitrogen). Human peripheral blood lymphocytes were prepared from buffy coats of healthy blood donors as described previously (8). CD4+ blasts were generated by incubating the lymphocytes with anti-CD3 (1:100) and anti-CD28 (1:1000) antibodies for 3 days. The cells were maintained in a medium supplemented with human interleukin 2 (2 ng/ml; R & D Systems) for an additional 7 days.
Bioluminescence Resonance Energy Transfer Assays—The cDNAs encoding EYFP3 and a humanized form of Renilla luciferase were fused in frame to the 3' end of CXCR4 and CCR2 cDNAs in the pcDNA3.1 vector. A BRET protocol adapted to cell monolayers was used (21). Briefly, human embryonic kidney cells (HEK-293T) were transfected by the calcium phosphate precipitation method, using a constant amount of plasmid DNA but various ratios of plasmids encoding the fusion protein partners (22). A control corresponding to mock transfected cells was included to subtract raw basal luminescence and fluorescence from the data. Expression of EYFP fusion proteins was estimated by measuring fluorescence at 535 nm following excitation at 485 nm, using a Mithras LB940 multilabel reader (Berthold). Expression of Rluc fusion proteins was estimated by measuring the luminescence of the cells after incubation with 2.5 µM coelenterazine H (Promega). In parallel, BRET was measured as the fluorescence of the cells at 535 nm at the same time points. The BRET ratio is defined as [(emission at 510–590)/(emission at 440–500)] - Cf where Cf corresponds to (emission at 510–590)/(emission at 440–500) for the -hRluc construct expressed alone in the same experiment.
Binding Assays—Competition binding experiments were performed as previously described (7). Briefly, the membrane preparations were incubated in the assay buffer (50 mM Hepes, pH 7.4, 1 mM CaCl2, 5 mM MgCl2, 0.5% BSA) with 0.2 nM 125I-SDF-1
or 0.1 nM 125I-MCP-1 as tracers and variable concentrations of unlabeled competitors. The samples were incubated for 1 h, and bound tracer was separated by filtration through GF/B filters presoaked in 1% BSA. The filters were counted in a
-scintillation counter. Binding parameters were determined with the PRISM software (Graphpad Softwares) using nonlinear regression applied to single-site or two-site binding models. The software compared the sum-of-square and the degree of freedom of each regression by using the F test and selected the most appropriate equation.
Dissociation Kinetics Experiments—Ligand dissociation experiments were performed as previously described (8). The membrane preparations were first incubated in assay buffer (50 mM Hepes, pH 7.4, 1 mM CaCl2, 5 mM MgCl2, 0.5% BSA) with 0.1 nM 125I-MCP-1 or 125I-SDF-1
in a final volume of 500 µl. After 1 h, the membranes were centrifuged, and the unbound radioligand was removed by aspiration. The membrane pellet was washed once with assay buffer and resuspended in 2.5 ml of assay buffer, with or without unlabeled ligands. At different time points, the aliquots were collected, the bound tracer was separated by filtration through GF/B filters presoaked for 1 h in 1% BSA, and the filters were counted for 1 min in a
-scintillation counter. In all experiments, total binding and total tracer remaining at the initiation of the dissociation phase represented less than 10% of the amount of tracer engaged initially. The data are presented as the ratio between bound cpm at the various dissociation time points and total bound cpm at time 0 of dissociation. The curves were fitted with PRISM software (Graphpad Softwares) using nonlinear regression and a single phase decay model.
Intracellular Calcium Mobilization Assay—The functional responses were analyzed with an aequorin-based assay as described (23). The cells were incubated for 4 h in the dark in the presence of 5 µM coelenterazine H (Promega Corporation) and then diluted 5-fold before use. Variable concentrations of chemokines were added to cell suspension (25,000 cells/well), and luminescence was measured for 30 s in an EG & G Berthold luminometer (PerkinElmer Life Sciences). Half-maximal effective concentrations (EC50) were determined with the PRISM software (Graphpad Softwares) using nonlinear regression applied to a sigmoidal dose-response model.
Chemotaxis Assay—The migration of CD4+ T cells was performed in 96-well transwell chambers (5-µm pore size; Costar, Corning NY). The lower compartment of the chambers was loaded with serial dilutions of SDF-1
or MCP-1 in Dulbecco's modified Eagle's medium-Ham's F-12 medium supplemented with 0.1% BSA. The upper compartment was loaded with 5 x 105 cells preincubated or not with specific antagonists, and migration was allowed for 1 h at 37 °C. The cells were harvested in the lower chamber and counted by the ATPlite luminescence assay kit (PerkinElmer Life Sciences). The results are expressed as the chemotaxis index, i.e. the ratio of cells migrating in response to the chemoattractant over cells migrating toward medium.
| RESULTS |
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and 125I-MCP-1 binding to membranes of cells expressing CXCR4 and/or CCR2. As expected, SDF-1
inhibited with high affinity the binding of 125I-SDF-1
on membranes containing CXCR4 only, whereas MCP-1 had no effect (Fig. 1A). Similarly, MCP-1 but not SDF-1
competed efficiently the binding of 125I-MCP-1 on membranes containing exclusively CCR2 (Fig. 1B). A drastic modification of the competition patterns was observed when CXCR4 and CCR2 were coexpressed. In the 125I-SDF-1
binding assay, SDF-1
behaved similarly, but MCP-1 now competed partially (IC50 = 0.02 ± 0.01 nM) (Fig. 1C). Conversely, in the 125I-MCP-1 binding assay, competition by MCP-1 was unaffected, whereas a significant competition by SDF-1
was observed (IC50 = 0.78 ± 0.09 nM) (Fig. 1D). The IC50 values calculated for heterologous competition were similar to those obtained for homologous competition in cells expressing single receptors (Table 2). Heterologous competitions were, however, incomplete, representing
35% of the specific binding. These results suggest that about one-third of each receptor takes part with heterodimers and that within these heterodimers, ligands specific for one receptor are able to compete for the binding of the tracer on the other. We next tested the ability of the CXCR4 antagonist AMD3100 and the CCR2 inverse agonist TAK-779 to promote similar heterologous competition. As expected, AMD3100 and TAK-779 did not compete for respectively 125I-MCP-1 and 125I-SDF-1
binding when the receptors were expressed alone (Fig. 2, A and B). However, AMD3100 was able to compete for 125I-MCP-1 binding as efficiently as SDF-1
on membranes prepared from cells coexpressing CXCR4 and CCR2 (Fig. 2D). Similarly, TAK-779 efficiently competed the binding of 125I-SDF-1
in the same conditions (Fig. 2C). Yet again, the IC50 values were similar to those obtained for cells expressing single receptors (Table 2), and the extent of the competition reached about 35% of the specific binding. The fact that small molecule antagonists can behave similarly to chemokines in these cross-competition experiments indicates that receptors do not need to reach their active state to inhibit the binding capacity of their heterodimerization partner. These results also suggest that the observed phenomenon is not linked to the steric occupancy of both receptors by a single ligand. We investigated further the potential contribution of steric hindrance at the outer surface of the receptor heterodimers by testing anti-CXCR4 and anti-CCR2 monoclonal antibodies in binding assays. The anti-CXCR4 MAB173 prevented 125I-SDF-1 binding on membranes containing CXCR4 or the two receptors but did not affect 125I-MCP-1 binding. Similarly, the anti-CCR2 DOC-1 prevented 125I-MCP-1 binding but not 125I-SDF-1 binding (supplemental Fig. S2).
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> 200 min; Fig. 3 E and Table 3), but complete dissociation was observed after 24 h (not shown). The dissociation rate of 125I-MCP-1 was increased when CCR2 and CXCR4 were coexpressed (t
= 27.6 min; Fig. 3F). Conversely, the presence of CCR2 increased significantly the dissociation rate of prebound 125I-SDF-1
from CXCR4 (t
= 35.6 min versus t
> 200 min; Fig. 3, A and B). As expected, we showed that the specific CXCR4 ligands SDF-1
and AM3100 had no effect on the dissociation of bound 125I-MCP-1 from membranes containing CCR2 only. However, both molecules accelerated the dissociation of 125I-SDF-1
from CXCR4, but also of 125I-MCP-1 when CXCR4 and CCR2 were coexpressed (t
= 14.7 and 23.0 min, respectively; Fig. 3, F and H). Similarly, MCP-1 and TAK779 promoted a rapid dissociation of 125I-MCP-1 from CCR2 and of 125I-SDF1
when CXCR4 and CCR2 were coexpressed (t
= 15.4 and 13.8 min, respectively; Fig. 3, B and D). These data suggest that the stability of the interaction of CXCR4 and CCR2 with their respective chemokine ligands is lower in heterodimers than in homodimers. In addition, the binding of a chemokine agonist or a small molecule antagonist to one of the partners in a heterodimer modifies further the conformation in the other partner, resulting in a faster dissociation rate of the tracers.
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was identical in CXCR4-expressing cells whether CCR2 was coexpressed or not (supplemental Fig. S3). We also showed that the costimulation by MCP-1 and SDF-1
at equimolar concentrations resulted in cells coexpressing the two receptors, in a functional response essentially similar to that of MCP-1, which is the ligand displaying the highest potency on its receptor. These data indicate the absence of cooperative signaling between CCR2 and CXCR4 in this calcium mobilization assay (supplemental Table S1). We next investigated the effect of specific antagonists in cells coexpressing both receptors. In line with the binding data, AMD3100 antagonized CXCR4, but also CCR2 signaling, whereas TAK-779 inhibited both CCR2 and CXCR4 signaling, demonstrating the ability of antagonists to inhibit the signaling of receptors on which they do not bind directly (Fig. 4).
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binding could be detected on these cells, as demonstrated by the complete competition obtained with blocking antibodies for each receptor (Fig. 5). Expression of both receptors in the same cells was also confirmed by FACS (data not shown). On these cells coexpressing CCR2 and CXCR4, 125I-MCP-1 binding was inhibited by unlabeled MCP-1, MCP-3, and TAK-779, but also partially by SDF-1
and AMD-3100, demonstrating cross-competition by CXCR4-specific ligands (Fig. 5A). Conversely, a partial inhibition of 125I-SDF-1
binding was observed in the presence of MCP-1 and TAK-779 (Fig. 5B). Interleukin 8 (CCL8), a chemokine acting on CXCR1 and CXCR2, which are not present on T cells, did not affect the binding of the various tracers. To test for functional consequences of this cross-competition, we performed chemotaxis experiments on these lymphoblasts. Migration toward SDF1-
or a combination of SDF1-
and MCP-1 at equimolar concentrations was similar (data not shown), suggesting the absence of cooperative signaling in this setting. Cell migration toward MCP-1 was inhibited by TAK-779 but also partially by the CXCR4-specific antagonist AMD3100. Similarly, migration toward SDF-1
was fully blocked by AMD3100 and partially by TAK-779 (Fig. 5, C and D). Altogether, these data indicate that CCR2-CXCR4 heterodimers do exist in native cells and that negative binding cooperativity occurs between the two binding pockets of these receptor heterodimers. Importantly, these data also demonstrate that chemokine receptor heterodimerization results in a cross-inhibitory effect of small molecule antagonists on the functional responses of receptors on which these antagonists do not bind.
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| DISCUSSION |
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binding only in cells coexpressing both receptors. The extent of this cross-competition (35%) is compatible with the expected proportion of receptors involved in the formation of heterodimers, considering similar expression levels for the two receptors, and no major differences in their relative tendency to form homo- or heterodimers. Dissociation kinetics after extensive tracer dilution showed that chemokines specific for one receptor can promote the dissociation of the tracer bound on the other receptor, demonstrating unambiguously the allosteric nature of the negative binding cooperativity. Interestingly, the coexpression of CCR2 and CXCR4 in CHO-K1 cells increased the spontaneous dissociation rate of both SDF-1
and MCP-1. Such changes in basal dissociation rates were not detected when CCR5 was coexpressed with CCR2 (8) and reflect probably the modification of the conformation of the receptors, according to the partners with which they interact. Additional studies will be required to determine whether such changes in kinetics properties can be extended to other chemokine receptor heterodimers.
Our study also reveals unexpected properties of chemokine receptor antagonists. AMD3100 is a bicyclam molecule described as a specific CXCR4 antagonist that inhibits the binding of SDF-1
but has no effect on other chemokine receptors, including CCR2 and CCR5 (27). We showed that the heterodimerization of CXCR4 with CCR2 allowed AMD3100 to antagonize the binding of CCR2-specific ligands. Conversely, TAK779, an antagonist of CCR2, CCR5, and CXCR3 (28), inhibited strongly the binding of SDF-1
in cells coexpressing CXCR4. These results challenge previous data claiming that AMD3100 and TAK-779 antagonize only receptors to which they bind (27, 29, 30). However, most of the data supporting these studies were obtained from recombinant cells overexpressing a single receptor, thereby ignoring potential effect of receptor partners. The cross-competition by antagonists demonstrate that negative binding cooperativity does not require receptor activation (7, 21, 32). Importantly, the consequences of heterodimerization on binding and functional properties of CCR2 and CXCR4 were also observed on CD4+ lymphoblasts expressing the two receptors naturally, demonstrating that our observations are not the artifactual consequence of receptor overexpression. The extent of cross-inhibition in native cells is not as strong as compared with the situation in CHO-K1 cells, but lymphoblasts express other GPCRs, and the proportion of CCR2/CXCR4 heterodimers is therefore not known. AMD3100 also inhibited partially the binding and signaling of MCP-1 on purified monocytes (not shown), in contradiction with a previous study reporting that AMD3100 had no effect on CCR2 signaling on monocytes (29). This is the first report demonstrating the existence of functional CCR2/CXCR4 heterodimers in native cells. Because CCR2 and CXCR4 belong respectively to each of the two main classes of chemokine receptors, CCR2/CXCR4 heterodimers may be representive of the situation prevailing when two (or more) chemokine receptors are coexpressed in a leukocyte population.
It should be noted that both on recombinant systems and native cells, the inhibition of functional responses is stronger that the binding cross-competition. In CHO-K1 cells, whereas heterologous competition reached 35% of specific binding, the functional responses were almost totally blocked by heterologous antagonists. In native cells, functional inhibition was not as complete in both directions but proportionally more important than binding cross-competition. This observation suggests that the functional interaction between different receptors may go beyond binding inhibition across heterodimers. It may involve functional cross-talk in large arrays of dimers, as proposed for the organization of rhodopsin in photoreceptor discs (34, 35). Such arrays might also involve receptors belonging to other classes. CXCR4 was proposed to interact with the T cell receptor (TCR-CD3), allowing SDF-1
-promoted CXCR4 signaling through a pre-existing TCR-ZAP70 complex and leading to more robust Ras and ERK (extracellular signal-regulated kinase) activation (36). Interestingly, TCR ligation was also reported to inhibit the CXCR4- and CXCR3-mediated signaling and chemotaxis in T cells, indicating a close and complex relationship between T cell activation and chemokine signaling (31, 37).
The heterodimerization of chemokine receptors has important implications in the field of drug development and the validation of specific receptors as drug targets. Antagonists characterized as selective for a chemokine receptor may indeed inhibit as well the functional response of other receptors coexpressed in leukocyte populations. This cross-inhibition can therefore lead to effects in vivo more diverse than predicted on the basis of receptor selectivity determined in vitro. This can imply either an increased therapeutic benefit, as a result of the partial blockade of other receptors contributing to an inflammatory process or to the development of unexpected and detrimental side effects. These findings also imply that mouse invalidated for chemokine receptors may not represent ideal models for the pharmacological blockade of these receptors. Indeed, besides other established limitations (compensatory mechanisms during development, chronic versus acute inactivation, interspecies differences), the blockade of a receptor involved in heterodimers may have significantly different consequences than the absence of the receptor and therefore of all heterodimers that may form in cells. In addition, similar situations likely prevail in other receptor classes regulating other physiological functions. It was indeed reported recently that antagonists of the cannabinoid CB1 and the orexin-1 receptors regulate the cellular localization and the function of both receptors (33), although such demonstration was not extended to primary cells. Future evaluation of the therapeutic benefit of acting on chemokine receptors or other GPCR classes will therefore have to consider the existence of heterodimers and the allosteric interactions that characterize them. We thus believe that these observations will have broad implications in the field of immunology and more generally in all aspects of biology involving GPCRs and their use as therapeutic targets.
| FOOTNOTES |
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The on-line version of this article (available at http://www.jbc.org) contains supplemental Figs. S1–S3 and supplemental Table S1. ![]()
1 Fellow of the Belgian Fonds pour la formation à la Recherche dans l'Industrie et l'Agriculture. ![]()
2 To whom correspondence should be addressed. E-mail: mparment{at}ulb.ac.be.
3 The abbreviations used are: EYFP, enhanced yellow fluorescent protein; BRET, bioluminescence resonance energy transfer; BSA, bovine serum albumin; FACS, fluorescence-activated cell sorter; GPCR, G protein-coupled receptor. ![]()
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