Multivalent glycolipid binding toxins such as cholera toxin have the capacity to cluster glycolipids, a process thought to be important for their functional uptake into cells. In contrast to the highly dynamic properties of lipid probes and many lipid-anchored proteins, the B-subunit of cholera toxin (CTxB) diffuses extremely slowly when bound to its glycolipid receptor GM1 in the plasma membrane of living cells. In the current study, we used confocal FRAP to examine the origins of this slow diffusion of the CTxB/GM1 complex at the cell surface, relative to the behavior of a representative GPI-anchored protein, transmembrane protein, and fluorescent lipid analog. We show that the diffusion of CTxB is impeded by actin- and ATP-dependent processes, but is unaffected by caveolae. At physiological temperature, the diffusion of several cell surface markers is unchanged in the presence of CTxB, suggesting that binding of CTxB to membranes does not alter the organization of the plasma membrane in a way that influences the diffusion of other molecules. Furthermore, diffusion of the B-subunit of another glycolipid-binding toxin, Shiga toxin, is significantly faster than that of CTxB, indicating that the confined diffusion of CTxB is not a simple function of its ability to cluster glycolipids. By identifying underlying mechanisms that control CTxB dynamics at the cell surface, these findings help to delineate the fundamental properties of toxin-receptor complexes in intact cell membranes.
Citation: Day CA, Kenworthy AK (2012) Mechanisms Underlying the Confined Diffusion of Cholera Toxin B-Subunit in Intact Cell Membranes. PLoS ONE 7(4): e34923. doi:10.1371/journal.pone.0034923
Editor: Ludger Johannes, Institut Curie, France
Received: October 22, 2011; Accepted: March 10, 2012; Published: April 12, 2012
Copyright: © 2012 Day, Kenworthy. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by NIH RO1 GM073846, the Vanderbilt Molecular Biophysics training grant (NIH T32 GM08320), and a Vanderbilt Discovery Grant. The funding sources had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The role of cholesterol-dependent membrane domains have been intensively investigated as a mechanism involved in the regulation of membrane trafficking and signaling in cells . Initially envisioned to exist as stable platforms, such domains are now thought to consist of transient nanoscopic assemblies of proteins, glycolipids, and cholesterol . As such, current models suggest that mechanisms that crosslink components of these domains may be important for facilitating their functions , as well as to alter membrane mechanics and deform membranes .
Bacterial toxins in the AB5 family, including Shiga toxin and cholera toxin, are an example of a class of proteins with the intrinsic capacity to crosslink glycolipids via their multivalent membrane binding B-subunits –. The ability of cholera toxin B-subunit (CTxB) and related molecules such as Shiga toxin B-subunit to cluster glycolipids and organize membrane domains has been linked to their functional uptake into cells by clathrin-independent, cholesterol-dependent endocytic pathways , , , . Recently, it has become evident that the accessibility of glycolipids to toxin binding is itself regulated by cholesterol within both model membranes and cell membranes, as a significant fraction of glycolipids is masked and inaccessible to toxin binding , . Thus, a picture is emerging in which the ability of toxin to bind glycolipids is controlled in a cholesterol-dependent manner ,  and the presence of bound toxin itself also leads to changes in underlying membrane domain structure , –, .
An important question raised by these findings is how the structure and dynamics of the complex formed upon binding of toxins to the accessible pool of their glycolipids receptors are regulated in cells. For the case of cholera toxin, one striking feature of the CTxB/GM1 complex is that it diffuses extremely slowly within the plasma membrane compared to many other proteins and lipids , –. This result is surprising given that lipids themselves typically diffuse rapidly in cell membranes, as do many lipid-anchored proteins –. This suggests that the movement of the CTxB/GM1 complex within the plasma membrane is regulated by fundamentally different mechanisms than those that control the dynamics of other types of cell surface molecules under steady state conditions.
The underlying mechanisms that contribute to the slow diffusion of CTxB are not yet fully understood. However, several factors could potentially account for this behavior. For example, there is some evidence that CTxB is confined by actin-dependent barriers . CTxB could potentially associate with nanoclusters that form via an energy- and actin-dependent process, similar to those reported for other lipid-tethered proteins . CTxB has also been reported to associate with caveolae –, flask-shaped invaginations of the plasma membrane which themselves are immobilized within the plane of the membrane , . The intrinsic ability of CTxB to cluster glycolipids could potentially lead to the formation of slowly diffusing CTxB/GM1 complexes. If they became large enough, such complexes could also potentially impact the diffusional mobility of other molecules, by either forming barriers to their diffusion or by trapping them within the same domains , . In the current study, we investigated the contributions of these various factors to the confined diffusion of CTxB within the plasma membrane of living cells using confocal FRAP.
Confocal FRAP assay and cell surface markers examined in this study
To measure the diffusion of CTxB on the plasma membrane, we took advantage of a quantitative confocal FRAP-based assay that yields accurate diffusion coefficients for both rapidly and slowly moving molecules , . In FRAP, lateral diffusion is described by two parameters, the diffusion coefficient (D), reflecting the average rate of diffusion, and the mobile fraction (Mf), a measure of fraction of molecules that are free to recover over the time course of the experiment.
To quantify the diffusional mobility of CTxB at the cell surface, COS-7 cells were labeled briefly with saturating levels of CTxB (1 µM) (Figure 1B), washed, then shifted onto the microscope stage. We visualized a portion of the plasma membrane, and FRAP measurements were carried out using a circular bleach region (Figure 1A). Although CTxB was endocytosed to the perinuclear region in a time-dependent manner, a substantial fraction of CTxB remained associated with the plasma membrane over time, enabling measurements of its cell surface mobility by confocal FRAP over at least 30 minutes after shifting cells to the microscope stage at 37°C. Care was taken to exclude any FRAP data in which non-surface attached, mobile endocytic vesicles were inside the ROI at any time during the FRAP experiment. The recovery curves were well fit by a pure diffusion model, implying that the recovery process is dominated by lateral diffusion (Figure 1C). In addition, the diffusional mobility of CTxB remained constant over time, suggesting that the properties of the cell surface pool of CTxB do not change significantly even while some of the toxin is being actively endocytosed (Figure 1D).
COS-7 cells were transfected with the indicated constructs or left untransfected and labeled with Alexa546-CTxB or DiIC16. FRAP was performed at 37°C using a 4.1 µm diameter bleach spot. (A) Representative images of Alexa546-CTxB during a FRAP experiment. Bar, 10 µm. (B) Average fluorescence intensity of Alexa546-CTxB labeling of COS-7 cells incubated with A546-CTxB concentrations ranging from 0.1 nM to 1 µM (mean ± SD for 59–151 cells). (C) Example of a normalized recovery curve for a cell labeled with 1 µM Alexa546-CTxB after correcting for fluorescence decay during imaging, along with fitted FRAP curve. (D) Representative example of D for CTxB as a function of time after labeling. Each value of D was obtained for a different cell on the same coverslip from a single experiment. (E) Representative whole cell images of YFP-GT46, YFP-GL-GPI, and DiIC16 in COS-7 cells. Single confocal slices are shown. The spotty appearance of DiIC16 on the background is due to the presence of dye aggregates. Bar, 10 µm. (F) Representative FRAP curves for Alexa546-CTxB, YFP-GT46, YFP-GL-GPI, and DiIC16 (n = 8–13 cells for each).
In order to understand what aspects of the regulation of CTxB's diffusion are specific for molecules that cluster glycolipids, we examined of the diffusional mobility of several additional cell surface markers in parallel in our study: a representative GPI-anchored protein, YFP-GL-GPI , a single pass transmembrane protein, YFP-GT46 , and a fluorescent lipid analog, DiIC16 (Figure 1E). Our rationale for studying these markers was severalfold. GPI-anchored proteins are linked to cell membranes via a lipid anchor, and also have been shown to associate with cholesterol-dependent nanoclusters ,  that could potentially organize glycolipids as well. We chose to study YFP-GT46 because transmembrane proteins are often subjected to different types of constraints to their diffusion than are lipid-anchored proteins , . DiIC16 was selected for these studies to control for the fact that CTxB binds to a lipid receptor at the cell surface. In general, lipids diffuse much more rapidly than proteins do in cell membranes –. Because CTxB clusters multiple glycolipids, it would not necessarily be expected to behave like a simple reporter of lipid diffusion.
Previous studies have shown that CTxB diffuses significantly more slowly than YFP-GL-GPI, YFP-GT46, and DiIC16 when directly compared in the same cell line , . We confirmed this in control FRAP experiments (Figure 1F). The fastest value of D was measured for DiIC16 (2.54±0.78 µm2/s, mean ± SD). D for YFP-GL-GPI (1.18±0.49 µm2/s) was slower than for DiIC16 but faster than that of YFP-GT46 (0.54±0.18 µm2/s), while CTxB diffused the most slowly of all (0.17±0.12 µm2/s). Mf was ∼90% for YFP-GL-GPI, YFP-GT46, and DiIC16, and ∼80% for CTxB (Table S1). These data indicate the diffusion of CTxB is selectively constrained at the cell surface relative to these other classes of molecules. We next investigated possible mechanisms underlying the slow diffusion of CTxB. For the purpose of these studies, we focused on understanding the properties of CTxB bound to its accessible pool of glycolipid receptors , .
CTxB diffusion is confined by the actin cytoskeleton
The actin cytoskeleton is a well-known barrier to the diffusion of a number of cell surface molecules , –. Two previous observations suggest that actin may play a role in controlling the diffusional mobility of CTxB. First, biochemical studies indicate that cholera toxin co-fractionates with actin . Second, CTxB diffusion was shown to be enhanced following actin disruption . However, the latter study did not evaluate how actin disruption affected the mobility of other proteins and lipids, leaving open the question of how specific this effect was. We therefore sought to directly compare the impact of disrupting the actin cytoskeleton on the diffusion of CTxB relative to its effect on other proteins and lipids at the cell surface using latrunculin A (LatA), which inhibits actin polymerization by sequestering monomeric actin.
In control experiments, we confirmed that LatA treatment led to a loss of F-actin within cells as assessed by phalloidin staining of fixed cells, as expected (Figure 2E). Disruption of actin has also been shown previously to lead to the formation of tubular invaginations of the plasma membrane . We verified that similar tubules were apparent in living cells labeled with CTxB or DiIC16, as well as in cells expressing YFP-GL-GPI or YFP-GT46 (Figure 2A–D).
(A–D) Subcellular distribution of (A) Alexa546-CTxB, (B) YFP-GL-GPI, (C) YFP-GT46 and (D) DiIC16 in live COS-7 cells under control conditions or following LatA treatment as described in the Material and Methods. A zoom of the boxed area in LatA treated cells is shown on the right for each marker. (E) Rhodamine phallodin staining in fixed COS-7 cells under control conditions or following LatA treatment. Bar, 10 µm. (F) COS-7 cells were treated with 1 µM LatA or mock-treated with 0.1% DMSO (“control”) for 5 minutes prior to imaging, and FRAP analysis was performed in the continued presence of LatA. Diffusion coefficients were measured for Alexa546-CTxB, YFP-GL-GPI, YFP-GT46 and DiIC16 in control and LatA treated COS-7 cells at 37°C (mean ± SD for 13–23 cells). ** p<0.01, Student t-test.
Next, we used confocal FRAP to measure the diffusional mobility of CTxB in LatA-treated and mock-treated cells incubated in media containing DMSO (Figure 2F). For comparison, we monitored the effects of these treatments on the diffusional mobility of YFP-GL-GPI, YFP-GT46, and DiIC16 under identical conditions, avoiding regions where plasma membrane tubules were present in these measurements. The results of these experiments showed D for CTxB was significantly increased by LatA treatment from 0.21±0.10 µm2/s to 0.35±0.18 µm2/s. In contrast, the diffusion of YFP-GL-GPI, YFP-GT46, and DiIC16 was unaffected in the presence of LatA (Figure 2F). These results suggest the diffusional mobility of CTxB is selectively slowed either directly or indirectly as the result of its interactions with the actin cytoskeleton. However, even in cells in which actin was disrupted, the diffusion of CTxB was considerably slower than that of other cell surface molecules, suggesting additional factors are involved in slowing its lateral diffusion. We therefore asked if the interaction of CTxB with other types of domains might impede its mobility.
Diffusion of CTxB and a transmembrane protein, but not a GPI-anchored protein is enhanced in ATP-depleted cells
Previous studies have reported that certain proteins associate with nanoclusters that maintain a fixed size and a fixed ratio of monomeric to clustered molecules over a wide range of concentrations, implying these domains are actively maintained and require cellular energy for their generation , . GPI-anchored proteins are immobilized within these nanoclusters, indicating these domains have the capacity to impact the dynamics of cell surface molecules . It is currently unknown if CTxB associates with actively maintained nanoclusters. We reasoned that ATP depletion might disrupt the interactions of molecules with such structures, thereby leading to an increase in their overall diffusional mobility. To test this, COS-7 cells were depleted of ATP by a 15 minute incubation with 0.02% sodium azide and 50 mM 2-deoxy-D-glucose, or mock-depleted prior to labeling with CTxB. For comparison, we performed similar experiments in ATP-depleted cells expressing YFP-GL-GPI (which is predicted to associate with nanoclusters) or YFP-GT46, or labeled with DiIC16.
ATP depletion led to several marked changes in the morphology of the plasma membrane and the underlying cytoskeleton. First, ATP depletion led to the formation of protrusions of the plasma membrane that were never observed in control cells (Figure 3A–E). Some of these protrusions were localized to the edges of cells and may represent retraction fibers. Needle-like protrusions were also seen projecting above cells into the media, as visualized in x-z sections. These protrusions were labeled with CTxB and for the other cell surface markers such as YFP-GL-GPI (Figure 3B, C, E). Second, in some ATP depleted cells tubular invaginations of the plasma membrane enriched in CTxB were observed (Figure 3C). Similar invaginations have been proposed to correspond to sites of clathrin-independent endocytosis induced by Shiga toxin B-subunit binding that tubulate in an ATP independent manner but whose scission is ATP dependent , , and have also been reported to form in cells labeled with CTxB . Tubular invaginations were only observed in cells labeled with CTxB and not other cell surface markers, although the extent of invagination formation varied between cells. Because ATP depletion has been previously reported to increase levels of F-actin in cells –, we also examined actin organization under these conditions by phalloidin staining. We found that F-actin staining was markedly enhanced in ATP-depleted cells (Figure 4). In addition, the plasma membrane protrusions also appeared to be enriched in actin, suggesting that the changes in actin organization that occur in response to ATP depletion may be responsible for their formation.
(A–E) Subcellular distribution of Alexa555-CTxB and YFP-GL-GPI in control and ATP-depleted COS-7 cells. Images show the projection of a series of confocal slices through live cells. Arrows mark the position of an xz-section (shown below.) Scale bar = 10 µm. (A, D) Typical morphology of cells labeled with Alexa555-CTxB or expressing YFP-GL-GPI under control conditions. (B, E) In ATP depleted cells, in addition to labeling the bulk of the plasma membrane, Alexa555-CTxB and YFP-GL-GPI label protrusions of the plasma membrane found close to the coverslip, as well as protrusions projecting above the surface of the cells into the media. (C) Example of an ATP depleted cell in which CTxB accumulates in tubular plasma membrane invaginations in addition to protrusions. (F) COS-7 cells were ATP depleted or mock-depleted (“control”) for 15 minutes prior to labeling and FRAP was performed in the continued presence of ATP depletion or control medium. Diffusion coefficients were measured for Alexa546-CTxB, YFP-GT46, YFP-GL-GPI or DiIC16 (mean ± SD from 24–32 cells). Cells were labeled with 1 µM Alexa546-CTxB. FRAP was performed at 37°C. ** p<0.01, Student t-test.
Rhodamine-phalloidin labeling in mock-depleted and ATP depleted COS-7 cells (A) labeled with Alexa488-CTxB or (B) expressing YFP-GL-GPI. A single confocal section is shown for each. A zoom of the boxed area is shown on the right. The merged images show phalloidin staining in red and CTxB or YFL-GL-GPI staining in green. The spotty appearance of CTxB and YFP-GL-GPI is the result of fixation and permeabilization conditions. Scale bar = 10 µm.
We next performed confocal FRAP analysis in ATP depleted cells. For these studies, we chose bleach ROIs on regions of the plasma membrane that did not include visible membrane protrusions or invaginations. The results of these experiments showed no change in D for YFP-GL-GPI or DiIC16 in ATP depleted versus mock-depleted cells (Figure 3F). We did note however that the rate of diffusion of DiIC16 in both mock ATP depleted and ATP depleted cells was significantly higher than that of DiIC16 under any of the other conditions examined. This effect was reproducible across days, and therefore likely arises from differences in the media used for various treatments.
In contrast to the lack of effect of ATP depletion on DiIC16 or YFP-GL-GPI, CTxB and YFP-GT46 both showed a significant increase in D in ATP depleted cells relative to controls (Figure 3F). We also observed a small but significant increase in Mf for DiIC16 and CTxB, and decrease in Mf for YFP-GT46 in ATP-depleted cells (Table S1). Thus, diffusion of CTxB is normally confined by an ATP-dependent mechanism. Because the diffusion of YFP-GL-GPI, which is predicted to associate with nanoclusters, was unaffected under these conditions, it seems unlikely that the increased mobility of CTxB is due to disruption of its association with actively maintained nanoclusters. Instead, the enhanced diffusion of CTxB under these conditions may reflect the substantial changes in the organization of actin that occur in response to ATP depletion (Figure 4), allowing for it to decouple from CTxB.
Diffusion of CTxB and other cell surface molecules is identical in the presence and absence of caveolae
Caveolae are another structural feature of cell membranes with the potential to restrict the diffusion of CTxB. CTxB is sometimes enriched within caveolae, suggesting it has a specific affinity for these domains –. Since caveolae are immobile within the plane of the membrane , , even transient interactions of CTxB with caveolae would be expected to constrain its lateral mobility. In agreement with this possibility, several studies have reported that interactions of CTxB with caveolin-1 (Cav-1) itself slow the diffusion of CTxB both at the plasma membrane and within early endosomes at neutral pH , , . However, these experiments either used a knockdown approach or examined the dynamics of CTxB in enlarged endosomes containing caveolin-1-GFP. Therefore, to more directly assess the effect of caveolae on CTxB mobility, we measured CTxB diffusion in Cav-1−/− and Cav-1+/+ mouse embryonic fibroblast (MEF) cells.
All of the markers studied localized correctly to the plasma membrane in the Cav-1−/− cells (Figure 5A). Levels of CTxB binding to the cell surface were also equivalent in the Cav-1+/+ and Cav-1−/− MEFs, similar to previous reports . Confocal FRAP analysis revealed there was no significant difference in D or Mf between CTxB in Cav-1+/+ and Cav-1−/− MEFs, suggesting that CTxB is not diffusionally trapped within caveolae (Figure 5B, Table S1). Furthermore, both the D and Mf values obtained for CTxB in MEFs were similar to those measured in COS-7 cells, which contain abundant caveolae, further suggesting that the slow diffusion of CTxB is not due to its interactions with caveolae. Analysis of the cell surface dynamics of YFP-GL-GPI, YFP-GT46, and DiIC16 also showed no differences in Cav-1+/+ and Cav-1−/− cells (Figure 5B). These results suggest caveolae do not specifically confine the cell surface dynamics of CTxB, and also do not generally impact the diffusional mobility of other proteins or lipids.
(A) Subcellular distribution of Alexa546-CTxB, YFP-GL-GPI, YFP-GT46, and DiIC16 in live Cav-1+/+ and Cav-1−/− MEF cells. Bar, 10 µm. (B) Diffusion coefficients of Alexa546-CTxB, YFP-GL-GPI, YFP-GT46 and DiIC16 in Cav-1+/+ and Cav-1−/− MEF cells (mean ± SD from 22–47 cells). Cells were labeled with 1 µM Alexa546-CTxB. FRAP was performed at 37°C.
The diffusional mobility of other proteins and lipids at the cell surface is unaffected by the presence of bound CTxB
In the experiments described above, we focused on how structural components of the plasma membrane modulate the dynamics of CTxB. However, binding of CTxB to membranes could itself potentially alter the organization of the plasma membrane organization in a way that influences either its own diffusion, or that of other molecules. For example, binding of CTxB to cells could potentially create crowding effects that cause it to diffuse slowly . Alternatively, the addition of CTxB to cells could lead to the formation of sub-resolution domains that influence the distribution and dynamics of other proteins and lipids, by analogy to its ability to form macroscopic domains in model systems , . Cellular proteins with affinity for these domains might become trapped within or transiently interact with these structures, consequently slowing their diffusion as well . Conversely, if such domains were sufficiently abundant and connected, other proteins could potentially become “trapped” within islands surrounded by a cluster of domains formed by CTxB binding . Each of these models predicts that in the presence of CTxB, diffusion of other proteins and lipids should be slowed compared to the absence of CTxB.
To test this, we measured the diffusional mobility of DiIC16, YFP-GL-GPI, and YFP-GT46 in the presence or absence of saturating levels of CTxB (Figure 6, Table S1). Experiments were carried out at both 22°C and 37°C in order to test for the presence of temperature-dependent membrane percolation threshold . Interestingly, the diffusion of both proteins (YFP-GL-GPI and YFP-GT46) was unaltered by the addition of CTxB at both temperatures. DiIC16 diffusion was also unchanged in the presence of CTxB at 37°C, but was significantly increased at 22°C. This implies that if microdomains are formed upon binding of CTxB to the cell surface, they are not sufficiently abundant or large enough to influence the diffusion of our test proteins at physiological temperature. However, they do appear to influence the mobility of DiIC16 at lower temperatures, raising the possibility that CTxB binding may impact the viscosity or order of the membrane at lower temperatures, perhaps by perturbing underlying lipid organization .
COS-7 cells expressing YFP-GL-GPI or YFP-GT46, or stained with DiIC16 were labeled with 1 µM Cy5-CTxB (YFP-GL-GPI and YFP-GT46) or Alexa488-CTxB (DiIC16) for 5 minutes at room temperature and washed prior to FRAP studies. Diffusion coefficients were measured for YFP-GL-GPI, YFP-GT46, and DiIC16 in the presence and absence of 1 µM Cy5 CTxB (mean ± SD for n = 16–32 cells). FRAP data were collected at both 20°C and 37°C. ** p<0.01, Student t-test.
The diffusional mobility of AB5 toxins is not correlated with their capacity to cluster glycolipids
Our findings raise the question of whether the confined diffusion we observed for CTxB is a general feature of proteins with the intrinsic ability to cluster glycolipids. The B subunit of Shiga toxin (STxB) is another example of a bacterially derived toxin with a homopentameric structure that binds a glycolipid receptor (in this case, Gb3) . While there is no apparent similarity in the amino acid sequences of these two proteins, their structures are highly homologous . Importantly, STxB can bind up to 15 Gb3 molecules per homopentamer . We therefore predicted that STxB would diffuse even more slowly than CTxB if the extent of glycolipid clustering is a major determinant of their cell surface dynamics.
To test this, we initially sought to measure the diffusional mobility of STxB in the plasma membrane of unperturbed COS-7 cells. We found that COS-7 cells normally label poorly with STxB. Therefore, to enable STxB binding, COS-7 cells were transfected with Gb3 synthase . We next attempted to perform FRAP analysis of STxB at the cell surface. However, within minutes after labeling, STxB was rapidly internalized from the cell surface into numerous small, rapidly moving vesicles and tubular structures (Figure 7A), precluding FRAP analysis. We therefore took advantage of the fact that ATP depletion, a condition we used to study the regulation of the diffusion of CTxB (Figure 3), inhibits the internalization of STxB  and CTxB (this study) as a way to compare the dynamics of CTxB and STxB on the plasma membrane.
(A) Subcellular distribution of CTxB and STxB in control cells approximately 5 minutes after labeling and shifting to 37°C. (B) Diffusion coefficients of STxB vs. CTxB in ATP depleted COS-7 cells (mean ± SD from 30 and 28 cells, respectively). Cells were labeled with 1 µM Alexa546-CTxB or 75 nM A488-STxB. FRAP was performed at 37°C. ** p<0.01, Student t-test.
For these experiments, COS-7 cells expressing Gb3 synthase were preincubated in ATP depletion medium for 15 min prior to labeling with Alexa 488-STxB and subsequently imaged in the continued presence of ATP depletion medium. In ATP depleted cells, STxB often accumulated in tubular plasma membrane invaginations (data not shown), similar to those reported previously . In some cells, STxB could also be found in protrusions induced by ATP depletion (data not shown), similar to those observed for other cell surface markers. Importantly, under these conditions, a substantial fraction of STxB remained trapped at the cell surface, enabling us to use confocal FRAP to assess the dynamics of the plasma membrane pool of the toxin. Remarkably, the cell surface pool of STxB diffused significantly faster than CTxB, with a characteristic D of ∼0.5 µm2/s and Mf of 81±7%. In fact, this was significantly faster than the diffusion of CTxB under any of the conditions we examined. These data indicate that confined diffusion is not a general property of glycolipid binding toxins, and suggest that in cells, the diffusional properties of CTxB and STxB are not correlated in a simple way with their capacity for clustering multiple glycolipids.
In contrast to the highly dynamic properties of lipids and many lipid-anchored proteins, CTxB diffuses extremely slowly when bound to its accessible pool of glycolipid receptors in the plasma membrane of living cells. In the current study, we analyzed the regulation of the dynamics of CTxB, with the goal of identifying mechanisms that confine the lateral diffusion of the CTxB/receptor complex.
To dissect how the cell surface dynamics of CTxB are controlled, we used a confocal FRAP assay , . This technique can be used to quantitatively measure the diffusional mobility of a wide range of molecules in cells, from slowly diffusing membrane proteins like CTxB to rapidly diffusing proteins like soluble EGFP , . An ensemble technique, confocal FRAP reports on the average rate of diffusion of a population of particles across micrometer distances, over timescales of seconds to minutes. Other approaches such as single particle tracking and fluorescence correlation spectroscopy, which report on the short-range diffusion of a small number of particles at one time, have also been used to study the diffusional mobility of CTxB. Like FRAP, these techniques also report that the diffusion of CTxB is highly confined , –. This indicates that the barriers that restrict the long-range motion of CTxB are conserved over smaller spatial and temporal scales.
We sought to understand how the cell surface dynamics of CTxB are regulated compared to a lipid-anchored protein, transmembrane protein, and lipid probe. Our results highlight several important differences in the behavior of these various classes of molecules. For example, although previous studies have indicated that the dynamics of many lipid-anchored molecules are unaffected by disruption of the actin cytoskeleton , actin plays an important role in constraining the diffusion of CTxB. The dependence of CTxB diffusion on actin organization may seem surprising given that CTxB binds a glycolipid receptor and thus lacks the ability to directly couple to actin. However, the CTxB/GM1 complex could potentially interact indirectly with actin in several ways. The diffusion of CTxB could be impeded by the presence of transmembrane “post” proteins that are attached to actin-based corrals , . Alternatively, clustering of GM1 by CTxB could initiate signaling events that in turn transiently connect the CTxB/GM1 complex to actin with the help of currently unknown transmembrane proteins, by analogy to how crosslinked GPI-anchored proteins are thought to interact with actin –. The formation of a “textured” lipid phase in response to CTxB binding may contribute to signaling across the bilayer leaflets . There is also evidence from freeze-fracture immunolabeling electron microscopy that GM1, the high affinity glycolipid receptor for CTxB, associates with actin-dependent clusters in cells . Thus, GM1 itself may be coupled to actin, providing an indirect link between CTxB and the cytoskeleton.
Our results also indicate the diffusion of CTxB is normally confined by ATP-dependent processes. Initially, we set out to test the effects of this treatment as a way to assess the possible interaction of CTxB with actively maintained nanoclusters, a class of domains previously shown to lead to the local enrichment and immobilization of GPI-anchored proteins . Despite the known interaction of GPI-anchored proteins with such structures, ATP depletion had little influence on the overall mobility of a representative protein, YFP-GL-GPI. We speculate this may be the case because only a relatively small fraction of GPI-anchored proteins associates with these domains . However, ATP depletion also had a profound effect on actin organization and membrane structure. In particular, we observed a dramatic increase in F-actin staining close to the plasma membrane in response to ATP depletion, accompanied by the formation of needle-like protrusions. Based on these observations, we propose remodeling of actin to form longer filaments may increase the dimensions of the actin-defined compartments that normally confine protein and lipid diffusion at the cell surface , therefore increasing the mobility of CTxB in response to ATP depletion. This model might explain why ATP depletion and LatA treatment have similar effects on CTxB dynamics, even though they have much different effects on overall actin organization. Other changes in membrane structure and composition known to occur in response to ATP depletion, including inhibition of phosphoinositide synthesis and the release of some small GTPases from the plasma membrane , could also contribute to the shift in CTxB diffusion. This multiplicity of effects of ATP depletion may also explain why diffusion of the transmembrane protein YFP-GT46 was enhanced following ATP depletion, but unaffected by actin disruption following LatA treatment.
Our results suggest actin organization/dynamics alone are clearly not the only source of the low diffusion rate observed for CTxB, since even in the presence of LatA the bound toxin diffuses much more slowly than any of the other molecules examined. One possibility is that CTxB may recognize additional binding partners –. If one of these binding partners were a transmembrane protein, this could explain the slow diffusion of the toxin and would also provide a clear model for why CTxB diffusion is sensitive to cortical actin. It is also possible that CTxB diffusion is regulated by flotillin, which has been shown to modulate the diffusional mobility of other sphingolipid-binding molecules . Because flotillin itself has been shown to interact with actin , it could also potentially serve to couple CTxB/GM1 complexes to the cytoskeleton.
Caveolae have been shown to become enriched in and internalize CTxB, although they are not required for its endocytic uptake into cells . We therefore tested for a potential role of caveolae in controlling the overall diffusion of CTxB at the cell surface. We found that the absence of caveolae had no effect on the diffusion of CTxB, or for that matter on any of the other cell surface markers examined. D was also very similar for all the molecules examined in COS-7 cells (which contain caveolae) and in caveolin-1−/− MEFs, further indicating that caveolae per se do not strongly influence the mobility of the molecules examined here. Taken together, we conclude from these studies that caveolae are not a major barrier to the diffusion of CTxB, and also do not function as general regulators of protein or lipid diffusion. This does not rule out the possibility that specific proteins or lipids interact with caveolae, especially following crosslinking . Caveolae could also potentially become saturated with CTxB, as CTxB has been reported to be selectively taken up by caveolae when present at very low labeling concentrations . The effects of caveolae and caveolin-1 on the diffusion of proteins like CTxB may also not necessarily be identical, since caveolin-1 can exist at the cell surface as small oligomers under conditions where caveolae per se are not present . This may explain the difference between our current results and those of a previous study examining the effects of caveolin-1 on CTxB diffusion utilizing a knock down approach, that may have left these residual caveolin-1 oligomers on the cell surface , . However, it is also formally possible that the role of caveolae and caveolin-1 in modulating the diffusion of CTxB are different in adipocytes and mammary tumor cells ,  than in MEFs.
Because CTxB binding itself can potentially alter the organization of the plasma membrane by clustering glycolipids, we investigated its effects on the diffusion of other proteins and lipids. The results of these experiments showed very little change in protein or lipid diffusion in the presence of bound CTxB at physiological temperature. This result immediately rules out the possibility that CTxB binding causes crowding effects that slow its own diffusion . They further imply that if CTxB forms small domains in intact cells, these domains do not incorporate either YFP-GL-GPI or YFP-GT46 , and also are not sufficiently large to form barriers to the diffusion of other proteins or lipids . Our observation that CTxB binding does not alter the diffusion of YFP-GL-GPI is consistent with a recent near field scanning microscopy study showing that GPI-anchored proteins are in close proximity to CTxB, but do not directly colocalize with CTxB-enriched domains . They somewhat differ, however, from data reported by Pinaud and colleagues . In that study, the effects of CTxB on the diffusional mobility of an artificial GPI-anchored protein consisting of avidin attached to the membrane via a GPI-anchor, Av-GPI, were investigated in some detail using single quantum dot tracking . A modest decrease in mobility of a slowly diffusing population of Av-GPI was reported to occur in cells labeled with CTxB. However, under steady state conditions, even the “fast” values of D reported for Av-GPI are almost two orders of magnitude slower than our measured D for YFP-GL-GPI (0.038 µm2/s for Av-GPI versus ∼1 µm2/s for YFP-GL-GPI). It thus seems likely that Pinaud et al. detected interactions of CTxB with a subset of partially immobilized GPI-anchored proteins, rather than a freely diffusing population of GPI-anchored proteins.
To better understand how the diffusional mobility of CTxB depends on its ability to cluster glycolipids, we compared its diffusion to that of the B-subunit of Shiga toxin, STxB. While the structures of these two toxins are very similar and therefore should have similar hydrodynamic radii, the fact that STxB binds 3 fold more lipids that CTxB would predict that STxB will have a stronger potential for cross-linking glycolipids than CTxB. However, in ATP depleted cells, the diffusion of STxB was faster than that of CTxB, suggesting that neither the size of the CTxB/GM1 complex nor the extent of glycosphingolipid clustering are the cause of CTxB's slow diffusion. The lack of correlation between the number of bound lipids and the rate of diffusion between these toxins mirrors a previous study in which we examined the role of crosslinking by comparing the diffusion of wild type CTxB to that of a chimeric form of cholera toxin with a mutant B-subunit containing only 1 or 2 GM1 binding sites instead of its usual 5 . In that study, we found only a small difference in the rate of diffusion between wild type CTxB and mutant cholera toxin on the plasma membrane of COS-7 cells. Thus, it appears that the number of glycolipids bound by AB5 toxins has little effect on their cell surface dynamics. In addition, confined diffusion does not appear to be a conserved feature of these toxins.
We found that several of the treatments we examined, such as ATP depletion, caused detectable changes in the topology of the plasma membrane. Because the presence of surface roughness can cause simple diffusion processes to be underestimated , these topological changes alone could in principle lead to significant changes in diffusion. If this were the case, we would have expected to observe similar effects of these treatments on all of the cell surface molecules studied. Our results indicate that instead, the effects of these treatments most strongly altered the diffusional mobility of CTxB. Therefore, it seems unlikely that potential subresolution changes in cell surface topology accounted for the changes we observed in CTxB diffusion; rather, we propose these differences in diffusion were the result of lateral heterogeneity not directly related to cell surface topology. Further work is certainly needed to examine the interplay between membrane topology and lateral heterogeneity, as well as membrane topology and diffusion.
Until recently, it was assumed that GM1 levels at the cell surface control the extent of CTxB binding. Recent studies now indicate that the local microenvironment of glycosphingolipids is an important determinant of their accessibility to toxin binding, and CTxB binding thus cannot be considered as a reporter of all of the GM1 present in the plasma membrane , . Interestingly, cholesterol depletion was shown to increase the levels of CTxB binding to cells. This suggests the masked fraction of GM1, rather than the fraction of GM1 normally accessible to CTxB, may be intrinsically associated with cholesterol-dependent membrane domains. The published literature on CTxB and related glycolipid-binding toxins such as STxB will need to be re-interpreted in light of these findings. In the current study, we did not attempt to separate out the effects of CTxB bound to different classes of GM1, instead focusing on the properties of complex formed upon binding of CTxB to the accessible population of GM1. In principle, one way to compare the properties of the toxin-accessible and toxin-inaccessible pool of GM1 would be to examine the effects of cholesterol depletion after unmasking the inaccessible pool by cholesterol depletion. However, cholesterol depletion itself can have profound effects on membrane structure. For example, in previous work we showed that cholesterol depletion using methyl-ß-cyclodextrin leads to a systematic slowing of the diffusion of multiple cell surface markers, including CTxB . Thus, further work will be required to decouple the effects of cholesterol on glycosphingolipid masking, toxin accessibility, and the dynamics of specific CTxB/GM1 complexes.
In conclusion, our results are consistent with a model in which in cells, the diffusional mobility of CTxB/GM1 complexes is restricted by F-actin dependent as well as ATP-dependent processes, which may also be linked to the maintenance of actin organization. Coupling of these complexes to actin could potentially occur either with the help of currently unidentified proteins, or by trapping of small CTxB-enriched domains within actin-defined corrals. Indirect interactions of CTxB with the cytoskeleton could in turn provide a mechanism that facilitates toxin uptake by clathrin-independent endocytic mechanisms , .
Materials and Methods
Cells and reagents
COS-7 cells, caveolin-1+/+ mouse embryonic fibroblasts (MEF), and caveolin-1−/− MEFs were acquired from ATCC (Manassas, VA). Cell lines were maintained in Dulbecco's modified Eagle medium (DMEM) containing 10% fetal bovine serum at 37°C and 5% CO2. Cells were plated on coverslips two days prior to experiments.
Cholera toxin B subunit from Vibrio cholerae (Sigma-Aldrich, St. Louis, MO) was labeled with Alexa546 using an Alexa546 fluorophore protein labeling kit (Invitrogen, Carlsbad, CA). Cy5-CTxB was produced using Cy5 monoreactive dye packs (Amersham Bioscience, Piscataway, NJ). Alexa488-CTxB, Alexa555-CTxB and DiIC16 (1,1′-dihexadecyl-3,3,3′,3′-tetramethylindocarbocyanine perchlorate) were obtained from Invitrogen (Carlsbad, CA). Rhodamine phalloidin was from Invitrogen-Molecular Probes (Carlsbad, CA). Yellow fluorescent protein (YFP) tagged versions of a model GPI-anchored protein (YFP-GL-GPI) and transmembrane protein (YFP-GT46) have been previously described , , . Alexa488-STxB and a plasmid encoding Gb3 synthase ,  were gifts from Dr. Ludger Johannes (Institut Curie, Paris, France). Transfections were performed 24 hours prior to imaging using FuGENE 6 as per the manufacturers instructions (Roche Diagnostics, Indianapolis, IN).
Cells were rinsed twice with imaging buffer (composed of phenol red-free DMEM supplemented with 25 mM HEPES (Sigma-Aldrich), and 1 mg/ml albumin bovine serum (Sigma-Aldrich)), and then incubated for 5 minutes at room temperature with the indicated concentration of CTxB (1 nM–1 µM), 5 µg/ml DiIC16 or 75 nM STxB. Cells were then rinsed twice with imaging buffer and imaged. For phallodin staining, cells were fixed in 3.7% PFA for 15 min at RT. They were then washed, permeabilized with 0.1% saponin in PBS containing 1 mg/ml bovine serum albumin for 15 min at room temperature (RT), and labeled with rhodamine-phalloidin (1∶40) for 30 min at RT, washed, and mounted in Fluoromount G (Southern Biotech, Birmingham, AL) supplemented with 25 mg/ml DABCO (1,4 diazabicyclo[2.2.2]octane) (Sigma-Aldrich) and allowed to solidify overnight prior to imaging.
Cells were washed with imaging buffer, incubated for 5 minutes in either 1 µM Alexa546-CTxB or 5 µg/ml DiIC16 in imaging buffer, and washed again. Actin depolymerization was then performed by incubating the cells at 37°C for 5 min in imaging buffer containing 1 µM Latrunculin A (LatA) (Sigma-Aldrich). Control cells were incubated in imaging buffer containing 0.1% DMSO. Cells were maintained in their respective buffer during imaging and all imaging was performed within 30 minutes of treatment. Alternatively, they were fixed and labeled with rhodamine phalloidin as indicated above.
ATP depletion was performed by pre-incubating cells at 37°C and 5% CO2 for 15 min in ATP depletion medium, composed of phenol-red free DMEM containing 50 mM 2-deoxy-D-glucose (Sigma-Aldrich), 0.02% sodium azide (Amersham Pharmacia Biotech), 25 mM HEPES (Sigma-Aldrich), and 1 mg/ml bovine serum albumin (Sigma-Aldrich)), as described in . Control cells were incubated in ATP control medium (composed of phenol-red free DMEM with 50 mM D-(+)-glucose (Sigma-Aldrich), 25 mM HEPES, and 1 mg/ml BSA). Cells were then washed with their respective medium, incubated for 5 minutes in 1 µM Alexa546-CTxB, 5 µg/ml DiIC16 or 75 nM Alexa488-STxB (in either ATP depletion or control medium), washed again, and then imaged in the continued presence of ATP depletion or control medium. Imaging was completed within 45 minutes of labeling.
Microscopy-based CTxB binding assay
1 µM stock of Alexa546-CTxB was prepared in imaging buffer and lower concentration stocks prepared by serial dilution. Cells were labeled with CTxB for 5 min at room temperature, washed, mounted live in imaging buffer, and visualized at 37°C. Images were taken on a Zeiss LSM 510 confocal microscope (Carl Zeiss Microimaging, Inc, Thornwood, N.Y.) with a 40X 1.4 NA Zeiss Plan-Neofluar objective at 0.7× zoom to acquire multiple cells per field. Fluorescence was excited at 543 nm with HeNe laser and detected with a preset Cy3 channel filter set provided by the manufacturer. The confocal pinhole was set at 2.17 Airy units. 512×512 pixel images were collected in 8 bit with line averaging of 8. Laser intensity and detector gain were set near pixel saturation for the 1 µM CTxB labeled cells and left unchanged across all concentrations. For lower concentrations duplicate images of the same field were taken at higher detector gain to validate ROI selection. Individual ROI's were drawn for each cell and for the background region, for images at matched laser intensity and detector gain, and mean pixel intensities in the ROI's collected using ImageJ (NIH, Bethesda, Maryland). Cell fluorescence was background corrected and then the mean and standard deviations computed for all cells at a given concentration.
Confocal microscopy and confocal FRAP
Confocal microscopy and confocal FRAP experiments were carried out on a Zeiss LSM 510 confocal microscope (Carl Zeiss MicroImaging, Inc., Thornwood, NY) using a 40X 1.4 NA Zeiss Plan-Neofluar objective. Cells were maintained in phenol-red free DMEM containing 1 mg/ml albumin bovine serum and 50 mM HEPES supplemented with the indicated drugs for live-cell imaging experiments. Cells were maintained at 37°C using a stage heater and objective heater. EYFP and Alexa488 were excited using the 488 nm line of a 40 mW Argon laser, and Alexa546, Alexa555, rhodamine, or DiIC16 were excited at 543 nm of a HeNe laser and detected using filter sets provided by the manufacturer. For presentation purposes images were exported in tiff format and brightness and contrast was adjusted using Adobe Photoshop.
Z-sections were compiled using serial confocal images taken at 1 Airy unit. The confocal slices were taken with an optimal overlay of 0.46–0.48 µM. The images were collected using a 40X 1.4 NA Zeiss Plan-Neofluar objective with digital zoom of 2.2 to 3.0×. Images were collected either in 12 bit mode with line averaging of 4 or in 8 bit mode with line averaging of 8. To adjust for differences in cell size, the number of slices was varied while the degree of overlap between slices was held constant. Slices were then compiled into 3D projections and z-sections in LSM Image Browser (Carl Zeiss MicroImaging, Inc., Thornwood, NY).
For FRAP measurements, cells were imaged at 4X digital zoom with the confocal pinhole set between 1.01 and 1.99 Airy units. Full frame (512×512 pixel) images were collected for FRAP analysis of CTxB, YFP-GL-GPI, YFP-GT46, and STxB. For DiIC16 FRAP experiments, the imaging window was reduced to a 4.1×8.1 µm rectangle to speed image acquisition. Photobleaching of a circular bleach region 4.1 µm in diameter was performed by repetitively scanning the bleach region 10 times using the 488 nm laser line or both the 488 nm and 514 nm laser lines at full power. Prebleach and postbleach images were collected at lower laser power (typically 3% transmission or less) with either no line averaging or with line averaging of 2. FRAP measurements were carried out at 22°C, or at 37°C using an objective heater and heated stage insert.
FRAP data analysis
Confocal FRAP data analysis was performed using a recently described method that corrects for diffusion that occurs during the photobleaching event  assuming a free diffusion model (as opposed to anomalous diffusion or reaction-diffusion type behavior). FRAP analysis was carried out essentially as described in , except that FRAP curves and post bleach intensity profiles were analyzed individually and that prior to fitting, FRAP curves were corrected for photobleaching during imaging by normalizing to the whole cell fluorescence over time as described previously . Datasets in which endocytic vesicles were observed to pass through the bleach region were discarded. Mobile fractions were calculated as described previously  using the average of the last three time points as F∞ and the average of the three prebleach images as Fo. Statistics were calculated with a Student t-test using OriginPro 8.5 (OriginLab Corp; Northampton, MA).
Mobile fractions (%) of Alexa546-CTxB, YFP-GT46, YFP-GL-GPI, and DiIC16 following various treatments.
We thank Lewis Kraft and Kimberly Drake for assistance with experiments, Dr. Minchul Kang for help with FRAP analysis, Dr. Wayne Lencer and Dr. Ludger Johannes for fruitful discussions, and members of the Kenworthy laboratory and Dr. Diana Peckys for comments on the manuscript.
Conceived and designed the experiments: CAD AKK. Performed the experiments: CAD. Analyzed the data: CAD AKK. Wrote the paper: CAD AKK.
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