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Autoimmune Diseases
Volume 2014, Article ID 239358, 10 pages
http://dx.doi.org/10.1155/2014/239358
Research Article

Elements of the B Cell Signalosome Are Differentially Affected by Mercury Intoxication

1Department of Immunology and Microbiology, Wayne State University, Detroit, MI 48201, USA
2Department of Environmental Medicine, University of Rochester, Rochester, NY 14642, USA

Received 1 October 2013; Revised 7 January 2014; Accepted 20 January 2014; Published 4 May 2014

Academic Editor: K. Michael Pollard

Copyright © 2014 Randall F. Gill et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

It has been suggested that environmental exposures to mercury contribute to autoimmune disease. Disruption of BCR signaling is associated with failure of central tolerance and autoimmunity, and we have previously shown that low levels of Hg2+ interfere with BCR signaling. In this report we have employed multiparametric phosphoflow cytometry, as well as a novel generalization of the Overton algorithm from one- to two-dimensional unimodal distributions to simultaneously monitor the effect of low level Hg2+ intoxication on activation of ERK and several upstream elements of the BCR signaling pathway in WEHI-231 B cells. We have found that, after exposure to low levels of Hg2+, only about a third of the cells are sensitive to the metal. For those cells which are sensitive, we confirm our earlier work that activation of ERK is attenuated but now report that Hg2+ has little upstream effect on the Btk tyrosine kinase. On the other hand, we find that signaling upstream through the Syk tyrosine kinase is actually augmented, as is upstream activation of the B cell signalosome scaffolding protein BLNK.

1. Introduction

Mercury is a potent immunotoxicant. Early experiments demonstrated that exposure to high or moderate levels of mercury induced immune cell death through either necrosis or apoptosis. Fortunately, exposure to high levels of mercury is no longer common, but large segments of the population continue to be exposed to low levels. In contrast to higher level exposures, low level exposure to mercury is not linked to immune cell death, but rather to immune disorders characterized by immunoproliferation and autoimmunity [1, 2].

Today in the US most exposure to mercury is the result of consumption of seafood contaminated with organic mercury. It has also been reported that high fructose corn syrup, a major constituent of most processed foods, often contains surprisingly high levels of inorganic mercury (Hg2+), and so low-level Hg2+ exposure is now a source of concern [3]. However even with respect to dietary ingestion of organic mercury, the majority is fairly quickly metabolized to Hg2+, so that over time mercury burdens in organs such as brain or spleen normally encompass both inorganic and organic species, even under conditions where exposure has been limited to organic mercury [4, 5]. In fact studies in normal individuals, as well as persons known to have been accidentally exposed to high levels of dietary organic mercury, have shown that eventually about 70% of the total mercury burden in spleen and brain is in the form of inorganic mercury [6, 7]. Most importantly, findings show that in mice exposed only to organic mercury, Hg2+ produced as a result of the metabolism of organic mercury, but not residual organic Hg, is the mercury species directly responsible for mediating an autoimmune inflammatory response. In other words, with respect to autoimmune disorders and inflammatory processes Hg2+ is the active metabolite [8, 9].

In principle, autoimmune disorders might result from a genetic defect in, or environmental interference with the control of central tolerance, the mechanism whereby the immune system neutralizes self-reactive immature lymphocyte clones. In immature B cells the B cell receptor (BCR) complex signaling pathway is of critical importance for this process [10, 11]. In fact it has been shown that there is a direct connection between suppression of BCR signals and induced failure of central tolerance in the B cell compartment leading to increased mature autoimmune B cell clones [12]. The association of exposures to low levels (levels which are not immunosuppressive in vivo or trigger immune cell death in vitro) of Hg2+ with autoimmunity suggests that Hg2+ could potentially interfere with signal transduction pathways in immature B cells in a manner so as to compromise central tolerance.

WHEI-231 is a well-characterized mouse B cell line that exhibits many of the characteristics of immature B cells. In particular, in contrast to mature B cells for which stimulation of the BCR is associated with mitogenesis and increased proliferation, WEHI-231 in a process similar to immature B cells undergoes growth arrest and apoptosis in response to BCR stimulation [13, 14]. We have previously shown that exposure of WEHI-231 to low levels of Hg2+ interferes with the BCR signaling pathway in triggering growth arrest and apoptosis [15]. Furthermore in immature B cells, growth arrest and apoptosis consequent to BCR signaling are dependent on activation of ERK [16]. We have shown in WEHI-231 that, although ERK does not seem to be a direct target, low level exposure to Hg2+ attenuates activation of ERK1/2 during BCR signaling [17], thus suggesting that Hg2+ acts on an upstream element of the BCR signal transduction pathway to initially suppress ERK activation and subsequently growth arrest and apoptosis after BCR engagement of an agonist ligand [17].

Phosphoflow cytometry is a relatively new technology which has been shown to be far superior to traditional western blotting technology in investigating phosphorylation dependent signaling pathways in immune cells, and in particular B cells [1821]. In the experiments outlined below we utilize multiparameter phosphoflow cytometry to simultaneously quantify the activity of several different elements of the BCR signal transduction pathway on a single cell basis. By capturing multiple interrelated phosphorylation patterns in Hg2+ intoxicated (exposed) and BCR stimulated WEHI-231 cells we have gained insight into the mechanism whereby Hg2+ at low exposure levels interacts with upstream elements of the BCR signal transduction pathway in B cells.

2. Materials and Methods

2.1. Reagents

HgCl2 (≥99.5% pure) was obtained from Aldrich Chemicals (St. Louis, MO).

2.2. Cells

WEHI-231 cells were obtained from American Type Culture Collection (Manassas, VA). They are maintained in RPMI 1640 containing L-glutamine (HyClone, Logan, UT) and supplemented with 10% fetal bovine serum (FBS, HyClone), 50 μM 2-mercaptoethanol, and 1X antibiotic antimycotic solution (Mediatech, Herndon, VA) in a humidified 5% CO2 atmosphere. Cells were passaged twice a week at a concentration of cells/mL. Cell viability was monitored visually by Trypan blue exclusion.

2.3. Antibodies

Polyclonal goat affinity-purified antibody to mouse immunoglobulin mu chain was purchased from MP-Biomedicals-Cappel, Solon, OH. Fluorescently labeled antibodies used for cytometric analysis of phosphorylated ERK1/2, Syk, BLNK, and Btk were purchased from BD Biosciences (San Jose, CA).

2.4. Phosphospecific Flow Cytometry

WEHI-231 cells were counted, washed in serum-free RPMI medium, and resuspended at cells/mL in the presence or absence of varying concentrations of HgCl2 in polypropylene tubes. Subsequently, cells were added to tubes containing goat anti-mouse immunoglobulin specific to the mu chain. Cells were incubated for the specified period of time at 37°C. At the end of stimulation (0.5, 1, 5, or 10 minutes), the cells were fixed by adding an equal volume of 4% paraformaldehyde, pH 7.4, and incubating for 10 minutes at 37°C. The cells were diluted in Dulbecco’s phosphate-buffered saline, pH 7.4, pelleted by centrifugation, resuspended in 90% methanol, and then incubated on ice for at least 30 minutes to permeabilize the plasma membrane. Following permeabilization the cells were pelleted to remove the methanol and then washed twice in sample buffer (Dulbecco’s phosphate-buffered saline, 1% FBS, and 0.1% sodium azide). The cells were resuspended in an antibody cocktail containing fluorescently labeled antibodies specific for the phosphorylated residues of ERK1/2, Syk, BLNK, or Btk according to the manufacturer’s instructions. The cells were incubated for 1 to 2 hours on ice and then washed 3 times with sample buffer. The cells were kept in the dark at 4°C until being analyzed on a Beckman-Coulter Cyan ADP flow cytometer.

2.5. Data Analysis

For all experiments, 10,000 events were acquired per sample and the data were initially analyzed using Sumit (Beckman Coulter; Miami, FL) and/or FlowJo (Tree Star; Ashland, OR) software. Additional data analysis and graphing was done using Excel (Microsoft; Redmond, WA) and Sigma Plot (Systat Software; San Jose, CA) software. For any fluorescently labeled cell population the Mean Fluorescence Index (MFI) is defined as median fluorescence intensity of the population.

3. Results and Discussion

3.1. Phosphospecific Flow Cytometric Analysis of ERK Activation during BCR Signaling in WEHI-231 B Cells

In our previous investigation of the effect of mercury on BCR signal transduction we employed western blotting technology to show that ERK activation was impaired [17]. However we felt that the application of the newer phosphospecific flow cytometric technology might offer better delineation of the effects of Hg2+ on BCR signaling. Accordingly, we first employed phosphospecific flow cytometry to investigate the kinetics of BCR activation of ERK 1/2 in control WEHI-231 cells. ERK1/2 are serine/threonine kinases which in B cells are central to the BCR signal transduction pathway and upon BCR signaling become activated by dual phosphorylation of a canonical threonine/tyrosine motif [22]. In Figure 1, as described in the materials and methods section, WEHI-231 cells were or were not treated with anti-mu (25 μg/mL) to stimulate the BCR. At timed intervals the cells were probed with a fluorescently labeled antibody specific to dually phosphorylated ERK 1/2 (anti-pERK), or else an isotype control antibody. The level of ERK 1/2 activation was then determined by phosphospecific flow cytometry. In Figure 1(a) each of the plots represents a different time after BCR stimulation. In each plot the red line represents the control histogram for which no anti-mu was added, while the green line represents the histogram at that time point arising from BCR activated cells. Initially the two curves overlap and then begin to separate as ERK 1/2 becomes activated in stimulated cells. Maximum separation appears at the 5 minute mark, after which they move together as ERK 1/2 activation is attenuated.

fig1
Figure 1: Time course of pERK in WEHI-231 B cells after stimulation of the BCR with anti-mu as determined with phosphoflow cytometry. (a) Histograms at various times for pERK (green, light hue) and isotype control (red, dark hue). (b) Change in MFI (as calculated from the histograms in (a) as a function of time after BCR stimulation.

The kinetics of ERK activation resulting from BCR stimulation are perhaps more easily appreciated in Figure 1(b). In Figure 1(b), for each of the distributions where the cells have been probed with anti-pERK (stimulated or unstimulated) shown in Figure 1(a), the Mean Fluorescence Index (MFI), defined as the median fluorescence intensity for that distribution, has been calculated. Then for each time point, the difference between the MFI for the untreated cells and the MFI for the BCR stimulated cells at that time has been plotted. The same procedure was then applied to cells which were probed with the isotype control antibody, and the difference in MFI between anti-mu treated cells and untreated cells plotted.

Generally speaking, because of the large number of cells examined, population differences in MFI determined by flow cytometry tend to be highly significant. For instance the standard error of the median for a normally distributed variable is given by 1.25 , where σ is the standard deviation of the distribution, and the number of independent measurements. For the distributions shown in Figure 1(a) (as well as in the other figures in this paper), the σ’s are of the order of the MFIs, but since each distribution represents about 10,000 cells, the standard errors are of the order of 1% of the MFIs.

Another way of appreciating the significance of the MFI measurements in Figure 1(b) is to note that, in Figure 1, fluorescence intensity measurements are proportional to the log of the actual fluorescent signal. As a result relatively small changes in the MFI are often significant. By comparing the histograms shown in Figure 1(a) with the MFI differences plotted in Figure 1(b), it is evident that, for all time points between 2.5 and 15 minutes, the histograms of treated cells are significantly different from control cells. In other words, for this experiment, differences of MFI between control and BCR stimulated cells of at least 2 can be considered as meaningful.

Figure 1 demonstrates that in WEHI-231 the maximum pERK response to anti-mu stimulation of the BCR occurs in about 5 minutes, after which it trends towards baseline. However in Figure 1 we employed anti-mu at 25 μg/mL to stimulate the BCR. This initial 25 μg/mL figure was based upon our previous experience with this system [17]. However the anti-mu reagent we utilize is a polyclonal antibody, and the potential exists for batch to batch variations in the agonist response. To assure ourselves that we were utilizing an appropriate concentration of stimulating antibody, in Figure 2 we investigated the maximum pERK response at 5 minutes as a function of the stimulating antibody concentration. Accordingly, cells were treated with various concentrations of anti-mu for 5 minutes, and then pERK levels determined by flow cytometry utilizing the anti-pERK reagent used in Figure 1, or an isotype control antibody. pERK and isotype control staining profiles for each concentration of anti-mu were then compared to staining profiles of cells which had not been treated with anti-mu and the difference in MFI was determined and plotted.

239358.fig.002
Figure 2: Change in pERK at 5 minutes after stimulation as a function of concentration of anti-mu used to stimulate the BCR.
3.2. Compared to Anti-Mu, Low Concentrations of Hg2+ Alone Only Marginally Perturb the Activity of ERK and Syk in the BCR Signaling Pathway

The tyrosine kinase Syk is an important element of the BCR signaling pathway upstream of ERK. During BCR signaling, activation of ERK is known to be dependent upon activation Syk, and, like ERK, Syk activity is increased by tyrosine phosphorylation [22, 23]. In later experiments we will be looking at the effect of Hg2+ on ERK and upstream elements of the BCR pathway during signaling, so for control purposes we measured the level of activated ERK and Syk (pERK and pSyk) which was induced by Hg2+, alone, in the absence of specific BCR signaling, to those induced by anti-mu through binding to the BCR. Accordingly WEHI-231 cells were treated with (0 μg/mL, 2.5 μg/mL, and 5 μg/mL) Hg2+, and, at various time points after addition of Hg2+, cells were stained with different fluorescently labeled anti-pERK and anti-pSyk. We have previously shown that treating WEHI-231 cells with concentrations of 5 μg/mL HgCl2 for 10 minutes results in cellular burdens of Hg2+ of the order of 1 ng/107 cells, and this cellular burden maximally impacts BCR signaling [17]. We have determined by propidium iodide uptake that these in vitro Hg2+ burdens are not toxic to WEHI-231 cells (NS), while similar in vivo Hg2+ burdens are not toxic to mouse spenocytes [24]. pERK and pSyk were then simultaneously measured by phosphospecific flow cytometry. At the 10 minute mark anti-mu was added to some of the cells which had not been treated with Hg2+. Five minutes later at the 15 minute mark these cells were likewise assayed for pERK and pSyk by phosphospecific flow cytometry. Untreated cells were also labeled with isotype controls to pERK and pSyk antibodies and assayed by flow cytometry.

The results for pERK and pSyk are shown in Figures 3(a) and 3(b), respectively, and expressed as the change in MFI between cells which were labeled with the phosphospecific antibodies to those cells which were labeled with the appropriate isotype specific control. The results for the cells which were stimulated with anti-mu are displayed as a single bar plot at the 15 minute mark, to distinguish them from the results for cells which were treated with Hg2+, which are displayed as line plots. Compared to anti-mu induced BCR signaling, Hg2+ alone has little effect on ERK or Syk.

fig3
Figure 3: Effect of Hg+2 and anti-mu (12.5 μg/mL) as a function of time after addition of (a) pERK and (b) pSyk.
3.3. Low Levels of Hg2+ Attenuate Phosphorylation of ERK, Accentuate Phosphorylation of Syk and BLNK, but Has Little Effect on Phosphorylation of BTK during BCR Mediated Signal Transduction in WEHI-231 Cells

We next investigated the effect of Hg2+ on BCR signaling upstream of ERK. BCR signaling is a complex process that is still not fully understood. However it is generally accepted that shortly after antigen engagement of the BCR complex that multimolecular cluster formation begins and assembly of the B cell receptor signalosome ensues [23, 25]. For the most part the structural integrity of the signalosome is anchored by the scaffolding protein BLNK, whose ability to bind other signalosome constituents is mediated by tyrosine phosphorylation of specific BLNK residues. These residues are substrates of the Btk, Lyn, and Syk kinases, and in an autocatalytic fashion the activity levels of these kinases, particularly Syk, are in turn regulated to some extent by whether or not they are bound to BLNK [23].

One of the advantages of phosphospecific flow cytometry is that it provides the ability to simultaneously monitor multiple elements of a phosphorylation dependent signaling pathway in individual cells. Accordingly in Figures 4(a)4(d) WEHI-231 cells were incubated with or without Hg2+ for 5 minutes and then stimulated or not with anti-mu. At timed intervals cells were fixed and levels of activated ERK (pT202/pY204), Syk (pY436), Btk (pY551), and BLNK (pY84) simultaneously determined by multicolor phosphospecific flow cytometry. In each plot cells which have been preincubated with Hg2+ are compared to cells which have not. The results are expressed as the difference between the MFI of cells which have or have not been treated with anti-mu as a function of time after addition of anti-mu.

fig4
Figure 4: Effect of Hg+2 on stimulation of elements of the BCR signal transduction pathway after stimulation of the BCR with anti-mu (12.5 μg/mL). In Figure 4 the y-axis represents differences in MFI between (BCR stimulated cells treated or not with Hg2+) and control cells which have neither been treated with Hg nor stimulated via the BCR. The x-axis represents time after stimulation of the BCR. (a) pERK versus time, (b) pSyk versus time, (c) pBtk versus time, (d) pBLNK versus time, (e) pERK versus pSyk versus time in the absence of Hg+2, and (f) pERK versus pSyk in the presence of Hg+2.

Figure 4(a) demonstrates that Hg2+ attenuates the normal ERK signal realized during BCR signal transduction, while Figure 4(b) shows that Hg2+ actually enhances the strength of the Syk signal. On the other hand BTK appears unaffected, as Hg2+ does not seem to have any appreciable effect on either the magnitude or kinetics of the BTK response. Finally phosphorylation of BLNK, like that of Syk, is enhanced by Hg2+.

Although Figures 4(a) and 4(b) show that Hg2+ depresses and augments the activation of ERK and Syk, respectively, it is difficult to discern if there are differences in kinetics. To evaluate whether Hg2+ altered the kinetics of ERK or Syk activation during BCR signaling we replotted the data of Figures 4(a) and 4(b) in Figures 4(e) and 4(f). In Figure 4(e) we have plotted the change (between cells treated or not with anti-mu) in the MFI of ERK and Syk in (control) cells which have not been pretreated with Hg2+. This figure demonstrates that under control conditions the kinetics of ERK activation is in phase with that of Syk activation. In Figure 4(f) we have plotted the same variables; only this time we have used the results from cells which were exposed to Hg2+. Here it is clear that although Hg2+ may decrease the magnitude (phosphorylation) of the ERK response while increasing the magnitude (phosphorylation) of the Syk response, exposure has little effect on the phase relationship between activation of the two kinases during BCR signal transduction.

3.4. Analysis of the Effect of Hg2+ on the Activation of ERK and Syk during BCR Signaling on the Single Cell Level

Although we had earlier pointed out that one of the advantages of phosphospecific flow cytometry is that it potentially permits analysis of signaling events on the single level, we did not take advantage of this in the analysis accomplished in Figure 4. In Figure 4 we reduced complex raw data sets obtained from the flow cytometery so as to characterize different cell populations solely with four numbers, the four MFIs associated with binding phosphospecific antibodies to ERK, Syk, BTK and BLNK. The effect of Hg2+ on BCR signal transduction was then essentially determined by comparing these numbers among differentially treated cell populations. However the initial data reduction to MFIs means that Figure 4 is in essence a population level analysis, and that similar results could in principle be obtained utilizing western blotting technology, albeit with much greater difficulty and likely less precision.

In Figure 5 we analyze the effect of Hg2+ on ERK and Syk activity during BCR signaling but forego initial reduction to MFIs in order to preserve single cell information. Accordingly Figure 5(a) is a 2-parameter histogram with respect to pSyk (y-axis) and pERK (x-axis) for the control population of WEHI-231 cells which have not been treated with Hg2+ or anti-mu. Here the number of cells expressing any particular pSyk, pERK value pair is proportional to the density of the plot in that region. Since Figure 4 indicated that the maximum response (pERK or pSyk) to anti-mu occurs at 5 minutes after stimulation, in Figure 5(b) we show the 2-parameter (pSyk, pERK) histogram for WEHI-231 cells which have been treated with anti-mu for 5 minutes. Finally Figure 5(c) is the histogram for cells which have been treated with anti-mu for 5 minutes but which have also been pretreated with Hg2+. Each histogram is divided into quadrants, and the percent of the cell population falling into each quadrant is indicated.

fig5
Figure 5: Two-dimensional histogram representation of pSyk versus pERK after stimulation of BCR with anti-mu (12.5 μg/mL). (a) Control cells at 0 minutes after stimulation of the BCR; (b) 5 minutes after stimulation of the BCR; (c) five minutes after BCR stimulation in Hg+2 intoxicated cells; (d) “Overton” subtraction of (c) from (b).

In Figure 5(a) we have adjusted the quadrant settings so as to characterize 97.03% of the control population as , and only 0.18% , . Utilizing the identical quadrant settings, upon anti-mu stimulation this changes after 5 minutes to 73.06% , and 5.18% , . As we already determined in Figure 4, when cells are intoxicated with Hg2+, the profile of pSyk and pERK is altered after anti-mu stimulation of the BCR from what is found for cells which are not intoxicated. This is reflected in Figure 5(c). After BCR stimulation, for Hg2+ intoxicated cells the percentages of cells in each of the quadrants do not drastically differ from those of cells which are not intoxicated, but nevertheless the bulk of the distribution seems to move to higher pSyk and lower pERK values.

Frequently in flow cytometry, cell populations characterized by a single fluorescent intensity are visualized as one-dimensional histograms. In order to analyze shifting population frequencies arising under different experimental conditions the Overton algorithm is often employed to subtract these one-dimensional histograms from one another [26]. In our case we would like to analyze the effect of Hg2+ exposure on the population shift that occurs simultaneously with respect to cellular levels of pERK and pSyk after BCR stimulation, and which has been visualized as two-dimensional histograms. Although we are working with two-dimensional histograms, just as for one-dimensional histograms, the effect of Hg2+ can be analyzed by subtracting the histogram for nonintoxicated cells (Figure 5(b)) from that for Hg2+ intoxicated cells (Figure 5(c)).

To accomplish this subtraction we have generalized the Overton algorithm from one to two dimensions. The result is shown in Figure 5(d) where discrete areas of the plot have been coded according to the legend on the right. Positive numbers indicate areas where there are excessive cell numbers in the Hg2+ exposed population with respect to the nonexposed population after BCR stimulation, while negative numbers represent the opposite. The absolute values of the numbers are proportional to the absolute differences, either positive or negative. In the one-dimensional Overton algorithm, the total number of positive cells is summed, and this number divided by the total population number is by definition the percent positive cells. Using an analogous procedure, we find that, in Figure 5(d), 37.6% of the cells in the mercury intoxicated population are designated “positive”.

We have previously shown that intoxication of WEHI-231 B cells with low and nontoxic levels of Hg2+ (1 ng/107 cells) has little direct effect on ERK. However, at these levels Hg2+ interferes with BCR signal transduction so that activation of ERK is attenuated [17]. These earlier experiments relied upon western blot analysis. The phosphoflow cytometric findings in Figures 1, 3(a), and 4(a) are in complete support of these previous findings. Since there is a direct connection between suppression of BCR signals in immature B cells and increased mature autoimmune B cell clones [12], to the extent that WEHI-231 B cells can be taken as a model of immature B cells, Hg2+ attenuation of ERK activation implies that Hg2+ intoxication may permit some self-reactive B cell clones to escape central tolerance and contribute to autoimmunity or autoimmune disease upon maturation.

The fact that in both of these experiments and in our earlier work low levels of Hg2+ seem to have little direct effect on ERK implies that the target of Hg2+ is upstream of ERK, and that signaling through at least some elements of the BCR signal transduction pathway upstream of ERK should also be attenuated. Syk is one such possible element. It is a central tyrosine phosphokinase operating upstream of ERK in the BCR signal transduction pathway, and as such is necessary for the integrity of the BCR signal and the eventual elimination of self-reactive immature B cell clones [22, 23]. Our earlier analysis of Syk activation in Hg2+ intoxicated WEHI-231 B cells utilizing western blot technology was inconclusive as to whether Hg2+ intoxication attenuated Syk activation [17]. However utilization of phosphoflow cytometry (Figure 4(b)) now shows quite clearly that Hg2+ enhances the activation of Syk.

Aside from Syk, we have also looked at phosphorylation of BLNK and Btk, two other elements upstream of ERK in the BCR signal transduction pathway. BLNK is the scaffolding protein that is important for the structural integrity of the B cell signalosome, which forms consequent to antigen engagement of the BCR [23, 25]. During BCR signaling, phosphorylation of various BLNK tyrosine residues by the tyrosine kinases Syk, Btk, and Lyn is necessary for the proper formation and maturation of the signalosome, as various signalosome constituents specifically recognize and bind to these phosphorylated motifs (primarily through SH2 domains) [25]. As Btk activation is itself associated with the phosphorylation of tyrosine 551 [27], both BLNK and Btk activities were assayed by phosphoflow cytometry to determine the effect of Hg2+ intoxication on their activity during BCR signaling (Figures 4(c) and 4(d)). We find that while Hg2+ has little effect on Btk activation during BCR signaling, similar to Syk, phosphorylation of BLNK is significantly enhanced. Considering that BLNK is a substrate of Syk, this was expected.

On the other hand, the finding that Syk activation is enhanced, while downstream activation of ERK is attenuated by Hg2+ was a bit surprising, especially considering our earlier work with T cells. BCR signaling has much in common with T Cell Receptor (TCR) signaling. In particular, in T cells TCR cross-linking leads to the transient activation of ERK, much like BCR cross-linking leads to the activation of ERK in B cells. We have found that in T cells intoxicated with low levels of Hg2+ ERK activation is attenuated during TCR signaling [28]. In T cells, TCR dependent ERK activation is dependent upon upstream activation of the phosphotyrosine kinase ZAP-70, a homologue of Syk. However in T cells we have found that attenuation of ERK by Hg2+ is associated with attenuation of ZAP-70, as well as LAT, the scaffolding protein homolog of BLNK [29].

While Figures 4(c) and 4(d) show that during BCR signaling, Hg2+ dependent attenuation of ERK activation is correlated with enhancement of Syk activation, these experiments only speak of what is happening on a population level. The question remains whether this correlation strictly holds on the cellular level. Utilizing the identical dataset used to generate Figure 4, Figures 5(a)5(d) specifically take advantage of the ability of phosphoflow cytometry to simultaneously probe individual cells for Syk and ERK activity to answer this question. Figure 5(a) is the two-dimensional histogram plotting pSyk versus pERK activity levels in control cells, while Figure 5(b) plots pSyk versus pERK activity in cells which have been maximally stimulated with anti-IgM. Comparison of Figures 5(a) and 5(b) demonstrates that most cells (about 90%) respond to BCR stimulation by increasing Syk and ERK activity.

Figure 5(c) is the pSyk versus pERK histogram for cells which have been stimulated with anti-IgM as in Figure 5(b), but which have also been intoxicated with Hg2+. Again, most cells still seem to be responding to anti-IgM as in Figure 5(b), but the distribution appears to be subtlety shifted to lower pERK and higher pSyk levels. This of course is consistent with Figure 4 demonstrating that on a population level Hg2+ intoxication leads on average to measurably lower pERK and higher pSyk levels. To assess the effect of Hg2+ intoxication on BCR signaling on the cellular level, we have utilized a generalized Overton algorithm to subtract the histogram in Figure 5(b) from that of Figure 5(c), resulting in Figure 5(d).

When one-dimensional histograms are subtracted it is common practice to display only the one-dimensional histogram of the resulting positive cells. However for the two-dimensional subtracted histogram in Figure 5(d) we display positive as well as negative areas. We interpret positive areas of the histogram (which are represented in brighter hues) as cellular positions which become more populated in Hg2+ intoxicated populations after BCR signal induction than in control populations. Likewise the negative areas of the histogram (represented by darker hues) represent cellular positions which become less populated as a result of Hg2+ intoxication. They essentially represent areas of the histogram from which cells (in the control) will move from as a result of Hg2+ exposure.

In Figure 5(d), the positive and negative areas are well segregated, with the positive areas having higher pSyk, but lower pERK, values. This finding supports the notion that on a cellular as well as population level, in Hg2+ intoxicated cells suppressed ERK activity is associated with enhanced Syk activity. Significantly, in Figure 5(d) we find that 37.6% of the cells are “positive.” In this context we interpret positive to mean that only 37.6% of Hg2+ intoxicated cells respond to BCR cross-linking with depressed ERK and enhanced Syk activation when compared to control cells. The remaining 62.4% of Hg2+ intoxicated WEHI-231 cells respond to BCR cross-linking by enhancing pERK and pSyk, just as they would as if they had not been exposed to Hg2+.

The overall finding that Hg2+ augments activation of Syk while it simultaneously attenuates downstream activation of ERK is at first glance a bit puzzling. However a recent report suggests that in B cells there are two functionally and topologically distinct ERK activation pathways [16]. Although both depend on Syk as an upstream element, they diverge shortly afterward. The first one is the familiar pathway previously described for B cells [22, 23], but it is postulated that this pathway is primarily operable in mature cells. Activation of this pathway is presumed to initiate cell proliferation. A second ERK activation pathway is described and postulated to be primary active in immature B cells. This pathway is connected to apoptosis and clonal deletion. The major difference between the two pathways is that this second pathway depends on a BCR mediated Icrac calcium current. If Hg2+ was to depress the calcium signal by interfering with an upstream regulator of Icrac channels, then it would be possible that ERK activation through this pathway could still be attenuated, even though upstream signaling through Syk was augmented. In any event it seems clear that Hg2+ initially interacts with a B cell target or targets upstream of Syk, possibly including Icrac channels.

4. Conclusions

After exposure of WEHI-231 B cells to low levels of Hg2+, signal transduction initiated by the BCR is altered. Analysis on the single cell level shows that while activation of ERK is suppressed, upstream activation of Syk is enhanced and phosphorylation of BLNK is increased. On the other hand, activation of Btk is unaffected. As WEHI-231 is a model for immature B cells, suppression of ERK activation in these cells suggests that low level exposures to Hg2+ may also interfere with central tolerance in primary immature B cells. We suggest that interference with central tolerance may be one of the mechanisms connecting low level mercury intoxication to autoimmune disease.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This work was supported by a Grant from the National Institutes of Health: ES019228 (AR). The authors wish to express gratitude to Dr. Raymond Mattingly for his careful reading of the paper and thoughtful advice.

References

  1. E. K. Silbergeld, I. A. Silva, and J. F. Nyland, “Mercury and autoimmunity: implications for occupational and environmental health,” Toxicology and Applied Pharmacology, vol. 207, no. 2, pp. S282–S292, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. M. D. Mayes, “Epidemiologic studies of environmental agents and systemic autoimmune diseases,” Environmental Health Perspectives, vol. 107, no. 5, pp. 743–748, 1999. View at Google Scholar · View at Scopus
  3. R. Dufault, B. Leblanc, R. Schnoll et al., “Mercury from chlor-alkali plants: measured concentrations in food product sugar,” Environmental Health A, vol. 8, no. 1, article 2, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. T. W. Clarkson and L. Magos, “The toxicology of mercury and its chemical compounds,” Critical Reviews in Toxicology, vol. 36, no. 8, pp. 609–662, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. T. W. Clarkson, “The toxicology of mercury,” Critical Reviews in Clinical Laboratory Sciences, vol. 34, pp. 369–403, 1997. View at Google Scholar
  6. K. Sumino, K. Hayakawa, T. Shibata, and S. Kitamura, “Heavy metals in normal Japanese tissues. Amounts of 15 heavy metals in 30 subjects,” Archives of Environmental Health, vol. 30, no. 10, pp. 487–494, 1975. View at Google Scholar · View at Scopus
  7. Y. Takizawa, “Mercury content in recognized patients and non-recognized patients exposed to methylmercury from Minamata bay in the last ten years,” in Recent Advances in Minamata Disease Studies, T. Tsubaki and H. Takahashi, Eds., pp. 24–39, Kodansha, Tokyo, Japan, 1986. View at Google Scholar
  8. S. Havarinasab and P. Hultman, “Organic mercury compounds and autoimmunity,” Autoimmunity Reviews, vol. 4, no. 5, pp. 270–275, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Havarinasab, B. Häggqvist, E. Björn, K. M. Pollard, and P. Hultman, “Immunosuppressive and autoimmune effects of thimerosal in mice,” Toxicology and Applied Pharmacology, vol. 204, no. 2, pp. 109–121, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. T. M. McCaughtry and K. A. Hogquist, “Central tolerance: what have we learned from mice?” Seminars in Immunopathology, vol. 30, no. 4, pp. 399–409, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. G. H. Ring and F. G. Lakkis, “Breakdown of self-tolerance and the pathogenesis of autoimmunity,” Seminars in Nephrology, vol. 19, no. 1, pp. 25–33, 1999. View at Google Scholar · View at Scopus
  12. C. M. Grimaldi, R. Hicks, and B. Diamond, “B cell selection and susceptibility to autoimmunity,” Journal of Immunology, vol. 174, no. 4, pp. 1775–1781, 2005. View at Google Scholar · View at Scopus
  13. J. Hasbold and G. G. B. Klaus, “Anti-immunoglobulin antibodies induced apoptosis in immature B cell lymphomas,” European Journal of Immunology, vol. 20, no. 8, pp. 1685–1690, 1990. View at Publisher · View at Google Scholar · View at Scopus
  14. A. W. Boyd and J. W. Schrader, “The regulation of growth and differentiation of a murine B cell lymphoma. II. The inhibition of WEHI 231 by anti-immunoglobulin antibodies,” Journal of Immunology, vol. 126, no. 6, pp. 2466–2469, 1981. View at Google Scholar
  15. M. J. McCabe Jr., R. P. Santini, and A. J. Rosenspire, “Low and nontoxic levels of ionic mercury interfere with the regulation of cell growth in the WEHI-231 B-cell lymphoma,” Scandinavian Journal of Immunology, vol. 50, no. 3, pp. 233–241, 1999. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Limnander and A. Weiss, “Ca-dependent Ras/Erk signaling mediates negative selection of autoreactive B cells,” Small GTPases, vol. 2, no. 5, pp. 282–288, 2011. View at Google Scholar · View at Scopus
  17. M. J. Mccabe Jr., M. D. Laiosa, L. Li, S. L. Menard, R. R. Mattingly, and A. J. Rosenspire, “Low and nontoxic inorganic mercury burdens attenuate BCR-Mediated signal transduction,” Toxicological Sciences, vol. 99, no. 2, pp. 512–521, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Goldeck, I. Low, N. B. Shadan, S. Mustafah, G. Pawelec, and A. Larbi, “Multi-parametric phospho-flow cytometry: a crucial tool for T lymphocyte signaling studies,” Cytometry A, vol. 83, pp. 265–272, 2013. View at Google Scholar
  19. F. R. Toapanta, P. J. Bernal, and M. B. Sztein, “Diverse phosphorylation patterns of B cell receptor-associated signaling in naive and memory human B cells revealed by phosphoflow, a powerful technique to study signaling at the single cell level,” Frontiers in Cellular and Infection Microbiology, vol. 2, article 128, 2012. View at Google Scholar
  20. P. O. Krutzik, J. M. Irish, G. P. Nolan, and O. D. Perez, “Analysis of protein phosphorylation and cellular signaling events by flow cytometry: techniques and clinical applications,” Clinical Immunology, vol. 110, no. 3, pp. 206–221, 2004. View at Publisher · View at Google Scholar · View at Scopus
  21. J. M. Irish, D. K. Czerwinski, G. P. Nolan, and R. Levy, “Kinetics of B cell receptor signaling in human B cell subsets mapped by phosphospecific flow cytometry,” Journal of Immunology, vol. 177, no. 3, pp. 1581–1589, 2006. View at Google Scholar · View at Scopus
  22. J. M. Dal Porto, S. B. Gauld, K. T. Merrell, D. Mills, A. E. Pugh-Bernard, and J. Cambier, “B cell antigen receptor signaling 101,” Molecular Immunology, vol. 41, no. 6-7, pp. 599–613, 2004. View at Publisher · View at Google Scholar · View at Scopus
  23. A. J. Rosenspire and P. M. Stemmer, “Antigen specific signal transduction,” in Toxicology of the Immune System, D. A. Lawrence, Ed., vol. 6, Elsevier, Paris, France, 2010. View at Google Scholar
  24. M. D. Laiosa, K. G. Eckles, M. Langdon, A. J. Rosenspire, and M. J. McCabe Jr., “Exposure to inorganic mercury in vivo attenuates extrinsic apoptotic signaling in Staphylococcal aureus enterotoxin B stimulated T-cells,” Toxicology and Applied Pharmacology, vol. 225, no. 3, pp. 238–250, 2007. View at Publisher · View at Google Scholar · View at Scopus
  25. D. A. Fruman, A. B. Satterthwaite, and O. N. Witte, “Xid-like phenotypes: a B cell signalosome takes shape,” Immunity, vol. 13, no. 1, pp. 1–3, 2000. View at Google Scholar · View at Scopus
  26. W. R. Overton, “Modified histogram subtraction technique for analysis of flow cytometry data,” Cytometry, vol. 9, no. 6, pp. 619–626, 1988. View at Google Scholar · View at Scopus
  27. D. J. Rawlings, A. M. Scharenberg, H. Park et al., “Activation of BTK by a phosphorylation mechanism initiated by SRC family kinases,” Science, vol. 271, no. 5250, pp. 822–825, 1996. View at Google Scholar · View at Scopus
  28. R. R. Mattingly, A. Felczak, C.-C. Chen, M. J. McCabe Jr., and A. J. Rosenspire, “Low concentrations of inorganic mercury inhibit Ras activation during T cell receptor-mediated signal transduction,” Toxicology and Applied Pharmacology, vol. 176, no. 3, pp. 162–168, 2001. View at Publisher · View at Google Scholar · View at Scopus
  29. S. E. Ziemba, R. R. Mattingly, M. J. McCabe Jr., and A. J. Rosenspire, “Inorganic mercury inhibits the activation of LAT in T-cell receptor-mediated signal transduction,” Toxicological Sciences, vol. 89, no. 1, pp. 145–153, 2006. View at Publisher · View at Google Scholar · View at Scopus