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Ligand bound chemoattractant receptors activate the heterotrimeric G protein Gi to stimulate downstream signaling pathways to properly position lymphocytes in lymphoid organs. Here we show how variations the expression of a chemokine receptor and in two components in the signaling pathway, Gαi2 and RGS1, affects the output fidelity of the signaling pathway. Examination of B cells from mice with varying numbers of intact alleles of Ccr7, Rgs1, Gnai2, and Gnai3 provided the basis for these results. Loss of a single allele of either Gnai2 or Rgs1 affected CCL19 triggered chemotaxis, while loss of a single allele of Ccr7, which encodes the cognate CCL19 receptor, had little effect. Emphasizing the importance of Gnai2, B cells lacking Gnai3 expression responded to chemokines better than did wild type B cells. At an organismal level, variations in Rgs1 and Gnai2 expression affected marginal zone B cell development, splenic architecture, lymphoid follicle size, and germinal center morphology. Gnai2 expression was also needed for the proper alignment of MOMA-1+ macrophages and MAdCAM-1+ endothelial cells along marginal zone sinuses in the spleen. These data indicate that chemoattractant receptors, heterotrimeric G-proteins, and RGS protein expression levels have a complex inter-relationship that affects the responses to chemoattractant exposure.
Chemoattractants help recruit and position lymphocytes and dendritic cells in lymphoid organs and inflammatory sites.1–3 Most lymphocyte chemoattractants and chemokines signal through G-protein coupled receptors that use the heterotrimeric G-protein Gi to activate downstream effectors3. The binding of ligand activates receptors triggering Gαi subunits to exchange GTP for GDP resulting in the dissociation of the Gα subunit from its associated Gβγ heterodimer. The release of Gi associated Gβγ subunits is necessary for triggering directional migration.4,5 Since Gα subunits possess an intrinsic GTPase activity, GTP hydrolysis leads to the re-assembly of heterotrimeric G-protein causing signaling to cease.6,7 Lymphocytes express two members of the Gα subfamily, Gαi2 and Gαi38,9 Gnai3−/− mice were reportedly without a phenotype,10 however, more recently a defect in the early seeding of the thymus by progenitors has been observed.11 Gnai2−/− mice exhibit defective lymphocyte chemokine receptor signaling as evidenced by depressed chemotaxis, defective homing to lymph nodes, poor adherence to lymph node high endothelial venules, and decreased motility within lymph node follicles.8,9
G protein-coupled receptors (GPCRs) such as chemokine receptors exist in multiple dynamic states including ligand-bound, inactive, and G protein-coupled, which influence G protein activation and subsequent downstream signaling. A recent study used parameter variation and sensitivity analysis to examine the ligand- and cell-specific parameters, which determine cellular responses in a dynamic model of GPCR signaling.12 Not surprisingly, the most important factor was the ability of the ligand to trigger an active receptor conformation, but in addition, several cell-specific parameters strongly correlated with G-protein activation. The three most important in rank order were G-protein concentration, Gα GTPase activity, and receptor expression.12 Notably; these results indicate that the expression of a GPCR or G protein several-fold above or below endogenous levels could result in responses inconsistent with those measured in endogenous systems, thereby providing a caveat for the interpretation of results from transfection studies. Also, small variations in cell-specific parameters may actually change a ligand-induced positive response to a negative one.12
Because of the ease of assessing chemokine receptor expression by flow cytometry immunologists have focused on those levels as a measure of chemokine responsiveness largely ignoring two other potentially important cell-specific parameters, G-protein levels and Gα GTPase activity, the later which largely depends on the presence of RGS proteins in the system.13 Increasingly attention has been focused on RGS proteins as a new class of pharmaceutical targets.14 In this study we examined the consequences of altering Gαi2 and RGS1 levels on B cell responses to three different chemokines CXCL12, CXCL13, and CCL19 by using B cells from mice with one or two disrupted alleles of Rgs1 or Gnai2 and from mice that have various combinations of disrupted and wild type alleles of these two genes.8,15 In addition we compared the responsiveness of B cells from wild type mice to those with only one intact allele of Ccr7. Our results indicate that the RGS1/Gαi2 ratio is an important parameter to consider in assessing B cell chemokine responsiveness. They also provide some insights into the role of G-protein signaling in the organization of the splenic lymphoid architecture.
On a C57BL/6 background the Rgs1−/− mice bred and thrived similar to wild type mice while the Gnai2−/− mice bred poorly or not at all and were maintained as heterozygotes. Litters from heterozygotic crosses generated lower than expected numbers of Gnai2−/− mice. A previous study had reported that Gnai2+/− intercrosses produced 9.7% Gnai2−/− mice versus the expected 25%. A significant loss of Gnai2−/− mice was reported to occur perinatally.16 In our colony Gnai2−/− mice are smaller than their wild type littermates and often die prior to 6 months of age of varying causes. The Gnai3−/− mice we have used have been backcrossed 3–6 generations onto C57BL/6 background and have thrived normally. Double heterozygote crosses were bred to generate mice with the varying alleles of Rgs1 and Gnai2. The double knock-out mice exhibited the same smaller stature as did the Gnai2−/− mice (Figure 1). Analysis of the frequency of the different genotypes obtained from these crosses revealed an increased representation of the wild type Gnai2 allele in the offspring. The most over represented genotype among the mice was Rgs1+/−/Gnai2+/+ while the Rgs1 allele status had little effect on the survival of the mice lacking both Gnai2 alleles. There was also the suggestion that the lack of one allele of Gnai2 negatively impacted the survival of the mice.
In lymphocytes the loss of a single allele of Gnai2 reduced Gαi2 levels approximately 50% while Gαi3 levels increased a similar amount. A loss of both alleles of Gnai2 resulted in a several fold increase in Gαi3 levels compared to controls.8 The loss of Gnai3 has been reported to not significantly impact Gαi2 expression levels17 and the Gnai3−/− lymphocytes we used had similar Gαi2 expression as did littermate controls (data not shown). The disruption of a single allele of Rgs1 reduced Rgs1 mRNA expression 50% (data not shown). To determine the relative importance of Gnai2 and Rgs1 expression on chemokine receptor signaling in B lymphocytes, we prepared splenic B cells from mice with various disrupted alleles of Gnai2 and Rgs1 and tested them using standard chemotaxis assays to CXCL12, CCL19, and CXCL13. The specific migration to three different concentrations of chemokine was measured. We found that loss of one allele of Rgs1 increased responses to all three chemokines and the loss of a second allele further increased the specific migration of B lymphocytes (Figure 2). In contrast the loss of a single allele of Gnai2 reduced responsiveness and the additional loss of an Rgs1 allele improved the response. The B cells from the double knock-out mice responded somewhat better than did the Gnai2−/− mice arguing that the loss of Rgs1 partially compensated for the loss of Gnai2 (Figure 2). This is inconsistent with the known functional role of RGS1 as a Gαi2 GAP. Since RGS1 is also a Gqα GAP18 lymphocyte chemokine receptors may couple to Gq in the absence of Gαi2, which would explain the enhanced response in the absence of Rgs1. Gq has been shown to couple to certain chemoattractant receptors in neutrophils and dendritic cells.19
Exposure of B lymphocytes elicits a rapid increase in intracellular calcium [Ca2+]i which is mediated by Gβγ stimulation of phospholipase β and blocked by pre-treatment with pertussis toxin. Although the increase in [Ca2+]i apparently contributes little to lymphocyte chemotaxis, it provides an easy and rapidly accessible measure of heterotrimeric G-protein activation. Therefore, we examined chemokine induced changes in [Ca2+]i using B cells from the various mouse strains. We found that the loss of one allele of Rgs1 enhanced the [Ca2+]i response to CXCL12 and CXCL13, both the peak level and duration, while the loss of both alleles resulted in a further increase (Figure 3). In contrast to previous experiments with T cells where the loss of one allele of Gnai2 substantially decreased CXCL12 induced increase in [Ca2+]I,9 the loss of one allele in B cells had little effect on the CXCL12 induced increase in [Ca2+]i although the CXCL13 induced response was impaired. Similar to T cells the loss of both alleles of Gnai2 in B cells severely compromised the CXCL12 induced increases in [Ca2+]i and as well the CXCL13 triggered response. The double heterozygotic B cells had a phenotype most similar to the mice that lacked an Rgs1 allele and the double knock-out mice had a surprisingly good [Ca2+]i response, a result consistent with a partial re-coupling to Gq. Together these results indicate that in B lymphocytes chemokine receptor signaling induced changes in [Ca2+]i and chemotaxis are sensitive to changes in Gαi2 and RGS1 expression.
To specifically examine the relationship between chemokine dose and intracellular signaling in B cell lacking Rgs1 we stimulated B cells purified from wild type and Rgs1−/− mice with increasing concentrations of CXCL12 or CXCL13 and plotted the log of the concentration versus the peak in [Ca2+]i. For both chemokines we found that at each concentration the peak response of the Rgs1−/− B cells exceeded that of wild type mice and the difference became more evident at higher concentrations. Similar results were observed with a human B cell line, where RGS1 and RGS13 expression were reduced, and with an immature human mast cell line, where RGS13 expression was reduced.20;21
B and T lymphocyte chemotaxis, lymph nodes homing, lymph node egress, thymus egress, and positioning within lymph node organs are all sensitive to pertussis toxin treatment, which ADP ribosylates the Gαi subunits Gαi1, Gαi2, Gαi3, and Goα but not Gzα. Mature B and T lymphocytes predominantly express Gαi2 and Gαi3, but not Gαi1. Lymphocytes lacking Gαi2 exhibit defects in all of the above with the exception of lymph node and thymus egress although sphingosine 1-phosphate (S1P) mediated lymphocyte chemotaxis is markedly reduced in the absence of Gαi2.8,9,22. Some residual chemotaxis has been noted with the Gnai2−/− lymphocytes, however, it is insensitive to pertussis toxin treatment.8,9 Together these data argue that Gαi3 cannot mediate lymphocyte CXCR4, CXCR5, or CCR7 triggered chemotaxis. The inability of Gαi3 to substitute for Gαi2 in lymphocyte chemotaxis despite the elevated Gαi3 expression is somewhat surprising. To directly examine the role of Gαi3 in B lymphocytes we performed chemotaxis assays and examined chemokine induced changes in [Ca2+]i using B cells prepared from Gnai3−/− mice. The percentage of chemokine-responsive cells from the Gnai3−/− mice equaled or exceeded the number from controls (Figure 4). In addition the increase in [Ca2+]i elicited by the CXCL12, CXCL13, and CCL19 exceeded the levels achieved with wild type control B cells (Figure 4). These results indicate that in contrast to Gαi2, Gαi3 is not needed for B lymphocytes to respond to chemokines, and that in its absence, Gαi2 may more efficiently couple to chemoattractant receptors.
Since we had observed changes in chemokine responsiveness in B cells lacking one allele of Rgs1 or one allele of Gnai2 we examined the consequences of the loss of one allele of Ccr7 on B cell responsiveness to the chemoattractant Ccl19. Varying Ccr7 expression, hence Ccr7 mediated signaling, is known to help B cells position themselves properly in the B cell follicle.23 We isolated B cells from wild type, Ccr7+/−, and Ccr7−/− littermates derived from a heterozygote cross and tested for their ability to respond in a standard chemotaxis assay. Surprisingly we found that the lack of one allele of Ccr7, which caused a greater than 50% reduction in CCR7 expression as assessed by flow cytometry, had only a modest impact of B cell chemotaxis to the Ccl19. B cells from Ccr7+/− mice responded to low concentrations of CCL19 as well as did the wild type control mice although they showed a modest decrease (20%) at higher concentrations of CCL19 (Figure 5). As expected B cells from Ccr7−/− mice failed to respond to CCL19, but they responded well to CXCL12 even surpassing the wild type B cell responses particularly with lower concentrations of chemokine. In addition, the Ccr7−/− B cells responded better to CXCL13 than did the wild type B cells (data not shown). Thus, the lack of one allele of Rgs1 or Gnai2 affected Ccl19 triggered chemotaxis more than did the loss of a single allele of Ccr7. This argues that small changes in chemokine receptor expression may not be translated into significant changes in chemokine responsiveness while similar magnitude changes in Gnai2 and Rgs1 expression can impact chemokine responsiveness.
Previous results had indicated that Gnai2−/− mice had reduced number of marginal zone B cells24 while Rgs1−/− mice had increased numbers of marginal zone B cells.25 To examine the interaction between Rgs1 and Gnai2 in the marginal zone B cell development, we first determined the numbers of follicular, transitional, and marginal zone B cells in wild type mice and mice that had varying numbers of intact Gnai2 and Rgs1 alleles and in Gnai3−/− mice (Table 1). Disruption of one allele of Rgs1 increased the number of marginal zone B cells and loss of the second allele further increased them resulting in approximately twice as many B220, CD21high, CD23- B cells as in the wild type mice. Loss of a single allele of Gnai2 did not affect the number of B220, CD21high, CD23− B cells, but loss of both alleles reduced the number of marginal zone B cells by one-half. The double heterozygote resembled the Rgs1 heterozygote suggesting that the number of marginal zone B cells is more sensitive to Rgs1 expression than Gnai2. In contrast to the lack of Gnai2, the loss of Gnai3 did not affect the number of marginal zone B cells.
Next, we used immunohistochemistry to examine the spleens of the different mice. B220 versus CD3 staining revealed that the spleens of the Rgs1−/− mice contained prominent follicles with expanded B cell zones relative to the T cell zone while the Gnai2−/− ice had a reduction in splenic follicles and those present were small with poorly developed B cell zones. Scattered throughout the spleen were areas of loosely organized B and T cells. The B220/CD3 immunohistochemistry with the double knock-out spleens appeared similar to those from the Gnai2−/− mice although the overall splenic architecture was even more disrupted. While the sections from the double heterozygotes appeared most similar to those from the wild type mice the distinction between B and T cell zones was not as sharp as that in the wild type mice and the follicles were smaller (Figure 6a). To assess spontaneous germinal centers we analyzed the expression of B220 versus peanut agglutinin (PNA) staining in the various sections. The spleen sections from the Rgs1−/− mice had 6 fold more spontaneous germinal centers compared to those from wild type mice (Figure 6b-d). While the Gnai2−/− mice had fewer spontaneous germinal centers, the double knock-out had more than did the wild type mice despite the severe disorganization of their splenic architecture. The double heterozygotic mice spleens had more prominent germinal centers than did those from wild type mice. The average number of germinal centers per spleen section from the different genotype mice was as follows: 7.0+/−2.1 wild type; 4.4+/−1.9 Gnai2−/−, 36+/−4.4 Rgs1−/−, 19.7+/−3.4 Rgs1+/−Gnai2+/−, and 21+/−3.1 Rgs1−/− Gnai2−/−. To assess the organization of germinal center light and dark zones, we examined the expression of IgD versus CD35 (Figure 6c) using the splenic sections from the different genotypes. CD35 recognizes CR1/2 and identifies follicular dendritic cells (FDC) in the primary and secondary follicles and reacts with FDCs in the germinal center light zone.26 The constitutive germinal centers present in the spleens of wild type mice were small with poorly developed dark zones. In contrast in the Rgs1−/− mice the splenic germinal centers were often large with prominent dark zones. The germinal centers from the double knock-out and Gnai2−/− mice were disorganized with a poor segregation of the light and dark zones. The germinal center organization in double heterozygotic mice was largely intact.
To assess the splenic marginal zone region in the various mice, we analyzed sections immunostained for MAdCAM-1 and CD1d; MOMA-1 and CD1d; and IgD and IgM27. In wild type spleens the MAdCAM-1+ cells were tightly cohesive in a thin layer encircling the follicle, however, in the spleens from the Gnai2−/− mice and the double knock-out mice this thin layer was dispersed. In addition in these same mice the number of CD1d+ cells was sharply reduced (Figure 7a). The morphology of the marginal zone sinus was intact in the sections from the Rgs1−/− mice and from the double heterozygotes (Figure 7a). Consistent with that result the MOMA-1+ cells were tightly associated with MAdCAM-1+ cells in the wild type mice, Rgs1−/− and double heterozygote mice, but were no longer so in the sections from the Gnai2−/− and double knock-out mice (Figure 7b). Examination of IgM versus IgD Immunostaining also demonstrated significant abnormalities in the spleens from the Rgs1−/−, Gnai2−/−, and double knock-out mice while the spleens from the double heterozygotes were more normal appearing (Figure 7c). The spleens from the Rgs1−/− mice had an increased number of IgM high cells both within the marginal zone and in the follicle. The spleens from the Gnai2−/− and double knock-out mice had a markedly disordered marginal zone with an increased number of IgM high cells interspersed among the follicular B cells. Together these data suggest that the ratio between RGS1/Gαi2 affects the integrity of the lymphoid architecture, spontaneous germinal center formation, and the frequency of marginal zone B cells. In addition Gαi2 is crucial for normal development of the marginal sinus in the spleen.
The above findings aid our understanding of how the variation in the expression of signaling molecules affects the responses of lymphocytes to environmental cues. Modest changes in the ratio between an RGS protein and a Gαi subunit modulates the responsiveness of B lymphocytes to chemoattractants. Loss of a single allele of Rgs1 enhances chemotaxis while loss of a single allele of Gnai2 reduced it. In contrast loss of a single allele of Ccr7 had a very modest impact of B cell chemotaxis to a cognate ligand. Disruption of both alleles of Rgs1 further increased chemokine induced rise in [Ca2+]i and chemotaxis while loss of both alleles of Gnai2 markedly attenuated the responses. Disruption of a single allele of Rgs1 and a single allele of Gnai2 partially normalized the responses. The loss of both alleles of Gnai2 or Rgs1 inversely affected the number of marginal zone B cells. The architecture of the marginal zone sinuses in the spleens of the Gnai2−/− and double knock-out mice were disrupted. Further supporting the importance of Gnai2 in B cell chemotaxis, Gnai3−/− B cells responded better than did wild type B cells to chemoattractants. Together these results argue that the ratio between RGS proteins and Gαi2 also prominently affects B cell chemokine responsiveness and can affect the overall lymphoid architecture.
Our data and data from the analysis of other G-protein coupled signaling pathways support the concept that cells actively modulate intracellular signaling components to help process and transmit quantitative information about their environment. Among the best studied G-protein linked signaling pathway is a G-protein coupled receptor (GPCR)/mitogen activated protein kinase (MAPK) cascade used by haploid Saccharomyces cerevisiae yeast cells to sense and respond to pheromone secreted by cells of the opposite mating type. Signaling through this pathway is highly dependent upon the levels of a yeast RGS protein Sst2 and the yeast G-protein α subunit Gpa1.28–31 Furthermore, yeast cells modulate their expression of Gpa1 and Sst2 both by transcriptional regulation and by post-translational modifications in response to pheromone. In mammalian cells RGS proteins and Gα subunits are also subject to complex regulation. In B lymphocytes RGS1 expression is regulated at the transcription level by antigen receptor engagement, toll receptor signaling, and by hypoxia.18,19,32,33 Although not documented for RGS1 several RGS proteins are substrates of the N-end rule pathway and RGS20 undergoes ubiquitin mediated degradation as a consequence of G-protein activation.34,35
The failure of Gnai3 to compensate for the loss of Gnai2 and the modestly enhanced chemokine signaling output in the Gnai3−/− B cells was initially puzzling as Gαi2 and Gαi3 are often thought to be interchangeable. However, emerging data from the analysis of knock-out mice indicates that is some instances there may be little functional redundancy in vivo. For example, Gnai2−/− mice have a selective defect of parasympathetic modulation of heart rate not seen in Gnai1/Gnai3 double knock-out mice.36 Furthermore, a recent reconstitution study in Sf9 cells that showed CXCL12 induced GTPase activity in cell membrane preparations containing either Gαi1 or Gαi2 exceeded that noted with membranes containing Gαi3 and greatly exceeded those expressing Gαo suggesting that CXCR4 preferentially couples to Gαi1 and Gαi2.37 A previous study using T cells from Gnai3 deficient T cells had noted that a greater percentage of Gnai3−/− T cells responded to CXCR3 ligands than did wild type mice, although that was not the case for the CXCR4 ligand CXCL12.17 Ligand bound CXCR3 bound Gαi3, but failed to trigger nucleotide exchange suggesting that it acted as a competitive inhibitor of Gαi2.17 Our overexpression studies using a human B cell line also have suggested that Gαi2 mediates chemokine receptor signaling to chemotaxis in human B cells although they did not reveal any competitive inhibitor effect of Gαi3. (IY Hwang, unpublished data)
The opposing marginal zone B cell phenotypes of the Rgs1 and Gnai2 knock-mice argues that GPCR-signaling via Gαi2 affects the immature B cell fate decision between follicular and marginal zone B cells. This decision is known to be influenced by extracellular inputs delivered by the B cell antigen receptors (BCR) and Notch receptors.27,38 A weak BCR signal predisposes immature B cells towards a marginal zone B cell phenotype while a strong signal has the opposite effect. Those immature B cells that interact with Delta-like-1 (DL1), a Notch ligand present on vascular endothelial cells in the red pulp, become marginal zone B cell precursors while those that do not become T2 cells eventually yielding follicular B cells.38 The marginal zone B cell defect in the Gnai2−/− mice is intrinsic to lymphoid compartment as Rag2−/− mice reconstituted with Gnai2−/− bone marrow also had a reduction in marginal zone B cells.24 Weak BCR signaling, impaired chemotaxis, or defects in T cell function were considered as possible explanations for the phenotype.24 This study favors the second explanation. A failure of Gnai2−/− T1 B cells entering the spleen to find and interact with DL1+ endothelial cells would provide an explanation of the phenotype as it would bias the cells toward becoming follicular B cells. Conversely; an enhanced sensitivity of Rgs1−/− T1 B cells to localizing signals present in the marginal zone such as S1P39 might bias the decision towards a marginal zone fate explaining the opposite phenotype. Besides the reduction in marginal zone B cells, the morphology of the marginal zone sinuses in the spleens of the Gnai2−/− was abnormal, resembling that previously observed in the S1pr3−/− mice.40 Similar to those mice the MAdCAM-1+ endothelial cells did not form a cohesive ring around the follicle and the MOMA1+ macrophages were displaced from their usual positions along the sinus. The studies of the S1pr3−/− mice have indicated that the initial defect is likely a failure of the MAdCAM-1+ endothelial cells to properly encircle the follicle and that the mis-positioning of the MOMA1+ macrophages is secondary.40 The results presented here suggest that S1pr3 signaling in these cells depends predominantly upon Gαi2.
The lack of CCR7 or CXCR5 affects the splenic architecture23,41–43 and in this study abnormal chemokine receptor signaling output was shown to impact the organization of the spleen. In the spleen most B cells likely enter into the periarteriolar lymphoid sheath (PALS) via the bridging channels.44 A Gαi-dependent step is needed to cross the endothelium in order to enter into the PALS.45 CXCR5 deficient B cells enter the PALS presumably using CCR7, but cannot access the B cell zone because of failure to response to CXCL13.41 The Gnai2−/− B cells in the spleen exhibit a complex phenotype likely a result of both reduced CCR7 and CXCR5 signaling. Many cells apparently fail to enter into the PALS and can be found in the red pulp of the spleen. Those cells that do enter the PALS will likely respond poorly to the CCR7 localizing signals and to the CXCL13 gradient that would normally trigger their movement into the B cell follicles. The net result likely explains the small B cell follicles in these mice. Cell transfer experiments examining the localization of Gnai2−/− B cells and T cells in wild type lymph nodes are consistent with these observations.8,9 The Gnai2−/− B cells and T cells that enter lymph nodes often fail to migrate away from the cortical ridge region into their respective B cell and T cell zones. Conversely, Rgs1−/− B cells more rapidly localize in the B cell zone of lymph nodes than do wild type B cells.8 In the Rgs1−/− mice the follicles in the spleen were more prominent than those in wild type mice likely as a consequence of the enhanced responsiveness of Rgs1−/− B cells to FDC associated CXCL13.
The proper organization of germinal centers depends upon the localization of CXCL12 in the dark zone and CXCL13 in the light zone.46 Consistent with a need for chemokine receptor signaling for germinal center zoning the loss of Gnai2 expression resulted in a severe disruption of the normal germinal center morphology. Modeling germinal center B cell migration predicts that chemotaxis is needed to maintain the germinal center dark and light zone, however, the B cells must down-regulate their chemokine sensitivity after transition between zones.47 If they do not, the normal zoning of the germinal center is predicted to be disrupted. Since chemokine sensitivity is predominantly a function of chemokine receptor affinity, Gαi2 levels, RGS protein expression, and receptor levels; variations in these parameters likely generate germinal center zoning. Receptor affinity is unlikely to vary during transition from centroblast to centrocyte transition arguing that the other parameters are likely more important. Centroblasts have elevated levels of CXCR446 and increased expression of Rgs1 and Rgs13 (J. Kehrl, unpublished observation) These RGS proteins may function to limit the retention of centroblasts in the dark zone and their downregulation along with decreased CXCR4 expression contribute to increased sensitivity to CXCL13. The lack of RGS1 might enhance CXCL12 signaling abnormally retaining centroblasts in the dark zone resulting in an expanded dark zone and overall germinal center size. Alternatively, RGS1 may affect signaling through another GPCR that functions in germinal center zoning.
In conclusion, the ratio between RGS1 and Gαi2 in B lymphocytes impacts the sensitivity of B cells to chemoattractants. The levels of RGS1 and Gαi2 are affected by environmental signals providing a mechanism by which B cells can modulate their responsiveness to chemoattractant signals independent of changes in receptor expression. The lack of RGS1 or Gαi2 causes a significant alteration in lymphoid architecture and abnormal immune responses. Both B cells follicles and germinal center morphology are altered in the mutant mice. A more comprehensive understanding of chemoattractant signaling will require additional insights into how receptor input is matched to receptor output. Unraveling the mechanisms that dynamically control receptor, RGS protein, and G-protein expression should assist in this endeavor.
The generation of Gnai2−/− and Rgs1−/− mice has been previously described.8,15,25. The mutations have been backcrossed on to a C57BL/6 background a minimum of 6 times. Gnai2−/− and Rgs1−/− mice were interbred to generate double heterozygotes. These mice were then bred to generate littermates with the desired genotypes. The Gnai3−/− mice have been previously described and have been backcrossed 3–6 generations onto a C57BL/6 background (23). The Ccr7 targeted mice were purchased from Jackson Laboratories. All mice used in this study were 8 to 14 wk of age. Mice were housed under specific-pathogen-free conditions and used in accordance with the guidelines of the Institutional Animal Care Committee at the National Institutes of Health.
Antibodies against mouse CD11a, CD11c, GR-1, CD4, CD8a, CD21, CD23, B220, and CCR7 were purchased from BD Pharmingen. Streptavidin conjugated to phycoerythrin was also purchased from BD Pharmingen. Murine CCL19, CXCL12, and CXCL13 were purchased from R&D Systems.
Splenic B cells were isolated by negative depletion using biotinylated antibodies to CD4, CD8, GR-1, and CDllc with Dynabeads M-280 Streptavidin (Invitrogen) as previously described.25 The cell purity was greater than 95%. Cells were placed in complete RPMI 1640 medium supplemented with 10% FCS, 2 mM L-glutamine, 100 IU/ml penicillin, 100 μg/ml streptomycin, 1 mM sodium pyruvate, and 50 μM 2-mercaptoethanol.
Chemotaxis assays were performed using a transwell chamber as previously described.25 The cells were washed twice, resuspended in complete RPMI 1640 medium and added in a volume of 100 μl to the upper wells of a 24-well transwell plate with a 5-μm insert. Lower wells contained various doses of chemokines in 600 μl of complete RPMI 1640 medium. The number of cells that migrated to the lower well following a 2-h incubation was counted using a flow cytometer. The flow cytometric analysis of receptor expression was performed on a FACSCanto II flow cytometer (BD Biosciences) and the data were analyzed using the FlowJo software (Tree Star, Inc.). Forward and side scatter parameters were used to gate on live cells.
Cells were seeded at 105 cells per 100 μl loading medium (RPMI 1640, 10% FBS) into poly-D-lysine coated 96-well black wall, clear-bottom microtiter plates (Nalgene Nunc). An equal volume of assay loading buffer (FLIPR Calcium 3 assay kit, Molecular Devices) in Hank’s balanced salt solution supplemented with 20 mM HEPES and 2 mM probenecid was added. Cells were incubated for 1 h at 37 °C before adding chemokine and then the calcium flux peak was measured using a FlexStation 3 (Molecular Devices). The data was analyzed with SOFT max Pro 5.2 (Molecular Devices). Data is shown as fluorescent counts and the y-axis labeled as Lm1. In some instances the data was imported into Graph Pad Prism 5 (GraphPad Software) and the log concentration of chemokine plotted versus the maximum response. The dose response curve generated using a non-linear fit of the data.
Freshly isolated spleens were snap frozen in Tissue-Tek OCT compound (Sakura Finetek). Frozen OCT splenic sections (7 μm) were acetone fixed for 2 min, and dried at room temperature. Slides were rehydrated in Tris-buffered saline (TBS) and stained in a humidified chamber in TBS/0.1% BSA/1% mouse serum overnight at 4 °C or 1 h at room temperature. Primary antibodies included rat anti-mouse CD45R (RA3-6B2, purified; BD Pharmingen) and Armenian hamster anti-mouse CD3e (145-2C11, purified; BD Pharmingen). Also used were PNA lectin (biotinylated; Sigma), rat anti-mouse IgD (11–26c.2a, purified; BD Pharmingen), rat anti-mouse CD35 (8C12, biotinylated BD Pharmingen), rat anti-mouse CD1d (1B1, biotinylated; BD Pharmingen), rat anti-mouse mAb CD169 (MOMA-1, purified; Serotec), rat anti-mouse MAdCAM-1 (MECA-367, purified; BD Pharmingen). Biotinylated antibodies were detected with streptavidin-alkaline phosphatase (Jackson ImmunoResearch Laboratories), and purified mAbs with AP conjugated goat anti-Armenian hamster IgG (H+L) (Jackson ImmunoResearch Laboratories) or HRP conjugated donkey anti-rat IgG (H+L) (Jackson ImmunoResearch Laboratories). HRP was reacted with DAB (Peroxidase Substrate Kit; Vector), and alkaline phosphatase with Fast Blue/Napthol AS-MX; Sigma-Aldrich). Levamisole (Sigma-Aldrich) was used to block endogenous alkaline phosphatase activity. Slides were mounted in Crystal Mount (Electron Microscopy Sciences). For immunofluorescence, frozen acetone fixed section were stained with a mixture of FITC-conjugated F(ab’)2 goat anti-mouse IgM and rat anti IgD (11–26c.2a, purified; BD Pharmingen), 4 °C overnight. The IgD was detected with Rhodamine Red-X-conjugated F(ab’)2 donkey anti-rat (Jackson ImmunoResearch). Slides were mounted with Vectashield (Vector Labs). Images were acquired either with an Olympus BX-50 microscope equipped with a ProgRes-digital microscope camera (Jenoptik) or a Zeiss Axiovert 200 fluorescent microscope equipped with a Sensicam EM camera (Cooke). The number of germinal centers per spleen section was determined by Immunostaining with PNA/B220 or IgD/CD3 multiple splenic sections from two mice of each genotype.
Results represent samples from 3–6 mice per experiment. All experiments were performed more than three times unless noted. All statistical analysis was performed with GraphPad Prism (GraphPad Software). Significance of statistics was calculated with unpaired t test for two nonparametric data and with Kruskal-Wallis test for three nonparametric data. A chi-square test for genotype was used to measure the association between observed each genotype numbers versus expected genotype numbers.
The authors would like than Mary Rust for excellent editorial assistance and Dr. Anthony Fauci for his continued support. This research was supported by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health.