Abstract
Cell polarization enables restriction of signalling into microdomains. Polarization of lymphocytes following formation of a mature immunological synapse (IS) is essential for calcium-dependent T-cell activation. Here, we analyse calcium microdomains at the IS with total internal reflection fluorescence microscopy. We find that the subplasmalemmal calcium signal following IS formation is sufficiently low to prevent calcium-dependent inactivation of ORAI channels. This is achieved by localizing mitochondria close to ORAI channels. Furthermore, we find that plasma membrane calcium ATPases (PMCAs) are re-distributed into areas beneath mitochondria, which prevented PMCA up-modulation and decreased calcium export locally. This nano-scale distribution—only induced following IS formation—maximizes the efficiency of calcium influx through ORAI channels while it decreases calcium clearance by PMCA, resulting in a more sustained NFAT activity and subsequent activation of T cells.
Introduction
T-helper (Th) cells are activated through formation of a stable junction with antigen-presenting cells, the immunological synapse (IS). The formation of an IS secures efficient activation of T-cell receptors (TCR) by overcoming several obstacles that hinder their unwanted activation, including the low affinity of TCR for its ligand, the low number of specific ligands available to activate a particular TCR, the small dimensions of TCR and the random localization of cytosolic signalling proteins (Dustin, 2008).
A crucial step for the successful activation of Th cells following TCR ligand binding is the stimulation of calcium (Ca2+) entry across the plasma membrane (PM) through the gating of Ca2+ release-activated Ca2+ (CRAC) channels, encoded by the ORAI proteins, which constitute the major Ca2+ influx pathway in T cells (Feske et al, 2005; Feske, 2007). However, an increase in the intracellular Ca2+ concentration ([Ca2+]i) activates a plethora of responses within cells, including secretion, motility, growth and differentiation (Feske, 2007; Oh-hora and Rao, 2008). Therefore, one of the main challenges to optimize the information capacity of a Ca2+ signal is to maintain its signalling specificity. Besides amplitude and kinetics, local Ca2+ signals or Ca2+ microdomains can generate specificity. It has been reported that Ca2+ microdomains regulate neuronal function (Roberts, 1993; Prakriya et al, 1996), neurotransmitter release (Llinas et al, 1992a, 1992b), neuronal growth (Spitzer, 2006), mast cell activation (Kar et al, 2011), muscle contraction and gene expression (Cannell et al, 1995; Dolmetsch et al, 2001). In all of these examples, close positioning of Ca2+ channels to their targets guarantees the robustness, speed and selectivity of the effectors. However, the generation of local Ca2+ microdomains beneath ORAI channels and their local effect on other Ca2+ targets at the IS still remains elusive. This study was designed to measure Ca2+ microdomains generated by ORAI channels at the IS, and to analyse their effect on Th-cell function.
Results
ORAI channel, PMCA and mitochondria localization relative to the IS
Formation of a mature IS induces cell polarization, which involves the re-distribution of PM and cytosolic signalling proteins, re-organization of actin cytoskeleton and organelle re-localization (Sanchez-Madrid and del Pozo, 1999; Dustin and Cooper, 2000). The localization of ORAI channels in the PM is a crucial factor for local Ca2+ influx in T cells. Two recent studies have analysed ORAI1 and its activator STIM1 localization following IS formation. Lioudyno et al (2008) showed that ORAI1 was accumulated at the IS, and Barr et al (2008) observed the localization of ORAI1 in puncta and dynamic caps everywhere in the PM, often within the vicinity of the IS, but also at the distal pole (DP). We repeated the ORAI1 localization analysis following IS formation between T cells and Raji cells pulsed with Staphylococcus aureus enterotoxin E (SEE). IS formation was confirmed by actin accumulation at the IS in a ring-like structure (Supplementary Figure S1A; Supplementary Movie S1) and by CD3 accumulation (best seen in Supplementary Figure S1B, cut view), which was always observed at contact sites between T cells and SEE-pulsed Raji cells (n=203 T-cell Raji cell contacts). We analysed endogenous ORAI1 protein localization in Jurkat T cells, in a stable Jurkat T-cell line with relatively low amounts of HA-tagged ORAI1 and in Jurkat T cells transiently overexpressing ORAI1–mEGFP and STIM1–TagRFP-T. We found that STIM1 co-accumulated with ORAI1 at the DP at early time points and both signals moved to the IS over time (Figure 1A; Supplementary Movie S2). To quantify the ORAI1 localization, we analysed and scored the cells as shown in Figure 1B. Multiple transfections were performed, which allowed a statistical analysis of the categorical quantification. Enrichment at the IS was observed already 8 min after contact (Figure 1A) and quantified after 60 min to be present in 72% of the cells transiently overexpressing STIM1 and ORAI1 (n=109 T-cell Raji cell contacts; Figure 1B, red bars). STIM1 was co-accumulating at the IS in 98% of these cases (data not shown). In 27% of the cells, a slight accumulation of ORAI1 at distal sites was observed. A similar distribution of ORAI1 was found in the stable cell line and also after immune fluorescence of endogenous ORAI1 with an anti-ORAI1 antibody (Figure 1B). Antibody specificity was confirmed by both western blots and immune-chemistry using ORAI1 siRNA and nsRNA (data not shown). ORAI1 downregulation following siRNA transfection was confirmed by qRT–PCR and western blot (data not shown).
ORAI1 accumulation at the IS was also observed when STIM1 was not co-overexpressed (Supplementary Figure S1A; Supplementary Movies S1 and S3). In this case, however, in ∼40% of the cells, ORAI1 was localized to a compartment, which was clearly not part of the PM but enriched at the IS (see Supplementary Figure S1B and Figure 1B for statistics). Most likely, this intracellular compartment is part of the Golgi apparatus, which is also re-localized towards the IS (Kupfer et al, 1983; Kupfer and Singer, 1989). About 50% of all Orai1–mEGFP (without concomitant STIM1 overexpression) cells showed this intracellular structure. Exclusive accumulation of this structure at the IS was usually only observed without STIM1 co-expression (Figure 1B). ORAI1 was also present at the contact site between anti-CD3 antibody-coated beads and T cells (Supplementary Figure S1C) and enriched in a percentage of cells similar to SEE-pulsed Raji T-cell contacts (Figure 1B). Actin re-localization at the bead T-cell contact site confirmed a successful IS formation (n=234 cells; Supplementary Figure S1D; Supplementary Movie S4).
Because the PM Ca2+ ATPase (PMCA) is the major Ca2+ extrusion pathway in T cells (Bautista et al, 2002), PMCA distribution is important for the shape of local Ca2+ signals as well. PMCA4b is the PMCA subtype highly expressed in T cells (Bautista et al, 2002). We analysed the localization of PMCA in Jurkat T cells expressing EGFP–PMCA4b (Figure 1C; Supplementary Movie S5) or endogenous PMCA (Figure 1D) after IS formation with SEE-pulsed Raji cells. We observed an even PM distribution, which accumulated at the IS in ∼70% of the cells (Figure 1E). Finally, we analysed endogenous SERCA subtype 2 and 3 following IS formation but could not detect any preferential location with regard to the IS (n=117 cells). Similar results were obtained after staining with SERCA antibodies following the induction of the IS on a coverslip coated with anti-CD3 antibodies in confocal microscopy (data not shown).
Total internal reflection fluorescence microscopy (TIRFM) has been previously used to study the localization of signalling molecules within the IS plane (Dustin and Cooper, 2000; Dustin, 2005, 2008), as it selectively reports fluorescence within about 200 nm from the PM. We analysed Jurkat T cells on anti-CD3 antibody-coated coverslips with TIRFM to measure only signals from the IS plane. All cells (47 from 3 experiments) showed the characteristic actin ring in the TIRF plane as a hallmark of successful IS formation (Figure 2A); this was not observed in uncoated control coverslips. ORAI1 was clearly located in the TIRF plane and accumulated slightly over time (Figure 2A and E) and co-localized with STIM1 (Figure 2B). Localization of PMCA at the IS was also always observed in TIRFM experiments (Figure 2C, n=33 cells). Localization of ORAI1 and its enrichment at the IS was also confirmed with the stable ORAI1 cell line (Figure 2D and E). In summary, ORAI1 and PMCA4b are always present at the IS and in about 70% of the cells even enriched at the IS.
Mitochondria play an important role for the Ca2+ homeostasis in T cells and have been reported to accumulate at the IS in T cells (Quintana et al, 2007, 2009; Contento et al, 2010; Schwindling et al, 2010; Yog et al, 2010; Baixauli et al, 2011) and in natural killer cells as well (Abarca-Rojano et al, 2009). Mitochondrial accumulation at the IS depends on several factors including TCR activation and Ca2+ signalling (Quintana et al, 2007; Schwindling et al, 2010), LFA-1 activation (Contento et al, 2010) and the fission factor DRP-1 (Baixauli et al, 2011). The preferential localization of mitochondria beneath the IS was found to be essential for sustaining the activity of ORAI channels by preventing local accumulation of inflowing Ca2+ near the sites that govern channel inactivation (Quintana et al, 2007). Concomitantly, mitochondria at the IS take up more Ca2+ than those localized further away from the IS (Quintana et al, 2007, 2009).
To test the relative positioning between mitochondria, ORAI1 channels and PMCA at the IS, we performed a co-localization analysis using TIRFM (Figure 3A–D). To allow a quantitative analysis of the data, we first performed a pixel shift analysis of the TIRFM setup using TetraSpec fluorescent beads measured by TIRFM at 488 and 561 nm. The bead analysis confirmed the absence of pixel shifts in our TIRFM setup (data not shown). ORAI1–mEGFP expressing Jurkat T cells were loaded with MitoTracker® DeepRed and then plated onto anti-CD3 antibody-coated coverslips for 20 min. Merged pictures show that mitochondria do not co-localize with ORAI1 clusters, but are sitting next to them at the IS (Figure 3A). Similar results were obtained for mitochondria and ORAI3 channels (data not shown). The statistical analysis of the co-localization experiments illustrates the very low overlapping between ORAI1 clusters and mitochondria spots at the IS (Figure 3D). In contrast, PMCA and mitochondria show a higher co-localization at the IS (Figure 3B and D). Considering the co-localization results of mitochondria with ORAI1 and with PMCA, it is not surprising that the co-localization analysis between ORAI1 and PMCA at the IS revealed only a weak overlap (Figure 3C and D). Interestingly, ORAI1 channel clusters strongly overlap with PMCA following thapsigargin (TG) stimulation, which maximally activates ORAI channels without inducing IS formation (Figure 3E and F). The better co-localization between ORAI1 and PMCA is due to the very homogenous distribution of PMCA following TG stimulation. This suggests that IS formation induces a re-distribution of PMCA from a more homogenous distribution into discrete regions of the PM at the IS. This re-localization decreases the co-localization with ORAI1 clusters but enhances the overlap with mitochondria.
Analysis of Ca2+ microdomains at the IS: T-cell activation requires low local Ca2+ signals controlled by subplasmalemmal mitochondria
Considering the dramatic polarization of proteins and organelles during IS formation, it is not surprising that localized signalling is very important for T-cell activation. While the importance of Ca2+ signals for T-cell activation is undisputed, nothing is currently known about local Ca2+ signals at the IS. Taking advantage of TIRFM, we analysed subplasmalemmal Ca2+ signals at the IS and the impact of mitochondria on Ca2+ signals beneath the IS. Mitochondrial localization at the subplasmalemmal area was compared in four different conditions: No IS (TG stimulation, which induces maximal activation CRAC/ORAI channels), IS (induced with anti-CD3 antibodies coated on coverslips) and both conditions in the presence of LFA stimulation, which was shown to be important for mitochondria localization at the IS by Contento et al (2010). The results are shown in Figure 4A. LFA stimulation alone had a small effect on the mitochondrial localization, whereas TCR stimulation through anti-CD3 antibodies induced mitochondria accumulation at the IS, which was further enhanced by LFA stimulation. To analyse Ca2+ signals at the IS, we loaded Jurkat T cells with Fluo-5F/AM (Figure 4B). Cells were pre-treated with TG in the absence of extracellular Ca2+ to maximally deplete Ca2+ stores and thereby maximally activate ORAI channels. At the same time, cells were plated onto coverslips coated with anti-CD3 antibodies to induce the formation of the IS or onto uncoated coverslips as control (No IS). After 10 min incubation, Ca2+-containing solution (20 mM) was added to allow Ca2+ influx through ORAI channels and thereby activate mitochondrial translocation. Local Ca2+ signals at the membrane were measured with TIRFM and global cytosolic Ca2+ signals were measured in the same cells with epifluorescence (Figure 4B). Stimulation with TG in the absence of IS formation (No IS) induced the highest local Ca2+ concentration, whereas IS formation decreased the local Ca2+ signals (Figure 4B and C). CD3±LFA stimulation showed the largest mitochondrial accumulation (Figure 4A) and the smallest local Ca2+ signals (Figure 4C). Thus, local Ca2+ signals in T cells correlated inversely with the mitochondrial accumulation at the PM. However, in the same cells, global Ca2+ signals were significantly higher in IS-stimulated T cells than in T cells following only TG stimulation (Figure 4D). This means that more Ca2+ must be transported from the local Ca2+ domain deep into the cytosol after IS formation compared with No IS stimulation (TG only). The global Ca2+ concentrations measured with Fluo-5F are by a factor of 2 lower than the Ca2+ concentrations we have measured previously with Fura-2 using an epifluorescence video-imaging system (Quintana et al, 2007, 2009). This may be a problem of the in vitro calibration we had to perform for Fluo-5F with the TIRFM setup because we could technically not perform a calibration for each cell, which is in our opinion required for a reliable in vivo calibration with a single wavelength dye.
The measurements shown in Figure 4C and D require the constant switching between TIRF and epifluorescence mode, which is not ideal. We thus repeated the local Ca2+ measurements under the same conditions but without measuring global Ca2+ in the same cells. Normalization of Fluo-5F signals (ΔF=100 × ((F−F0)/F0) of the first two bars in Figure 4E shows the same result as in Figure 4C, comparing local Ca2+ plateaus in the presence of TG 15 min after activating Ca2+ entry. Local Ca2+ is reduced following IS stimulation compared with No IS. Similar results were observed with Fluo-4FF (data not shown). Again, local Ca2+ signals were decreased at the IS compared with No IS, whereas global Ca2+ signals were enhanced following IS formation on average by a factor of 1.4 (with Fluo-5F) or even 3 (with Fluo-4FF). To investigate a potential involvement of SERCA in regulating local Ca2+ domains at the IS, we next tested if TG influences local Ca2+. Ca2+ entry can be also activated by incubating T cells for several minutes without external Ca2+ and no other stimulus present because Ca2+ pools will slowly be depleted under these conditions (data not shown). With no TG present, we measured the same local Ca2+ signals (Figure 4E). Again, IS formation reduced the local Ca2+ signals. This result indicates that SERCA activity does not play a major role for controlling local Ca2+ signals at the IS.
Because the local Ca2+ concentration at the IS correlated with the presence of mitochondria, it is expected that the inhibition of mitochondrial Ca2+ uptake should influence local Ca2+ signals. We tested this with the addition of CCCP, which collapses the mitochondrial membrane potential and thereby inhibits mitochondrial Ca2+ uptake by disrupting the Ca2+ driving force for Ca2+ entry into mitochondria (Supplementary Figure S2A). In the presence of CCCP, the sustained local Ca2+ concentration following IS formation is indeed now similar to the local Ca2+ concentration if cells are stimulated with TG only (No IS) (Figure 4E). These experiments indicate that mitochondrial Ca2+ uptake influences local Ca2+ signals at the IS. In addition, these experiments also rule out that the Ca2+ signals that we measure at the IS are influenced by the mitochondrial space, which could decrease the amount of Fluo-5F at the IS.
At a first glance it may be surprising that SERCA Ca2+ uptake does not influence local Ca2+ signals at the IS while mitochondrial Ca2+ uptake does. Considering the low transport rates of SERCA compared with the large transport rates of the mitochondrial Ca2+ uniporter (Baughman et al, 2011; De Stefani et al, 2011), this result is not unexpected at all. In addition, we did not observe any accumulation of SERCA at the IS (Figure 1F) while mitochondria accumulated at the IS (Figure 4A).
Our Ca2+ measurements suggest that efficient Ca2+-dependent activation of T cells under physiological stimulation (following IS formation) requires low local Ca2+ signals. Indeed, both short- and long-term measurements of Ca2+-dependent nuclear factor of activated T cells (NFAT) activity revealed that IS stimulation induces the largest NFAT translocation into the nucleus (Figure 4F).
Subplasmalemmal mitochondria control local Ca2+ distribution at the IS
To analyse the influence of mitochondria on the local Ca2+ signals at the IS, we co-loaded T cells with Fluo-5F/AM and MitoTracker® DeepRed/AM. Cells were pre-treated and stimulated as explained before. Figure 5A shows that Ca2+ signals in mitochondrial areas are significantly lower than in areas free of mitochondria 20 min after IS formation. A similar inverse correlation was found by plotting the normalized fluorescence of Fluo-5F and MitoTracker® DeepRed of individual cells against each other (Figure 5B). Considering the different Ca2+ concentrations in mitochondrial and non-mitochondrial areas, it is not surprising that a spatially resolved surface plot analysis revealed very heterogeneous [Ca2+]i profiles at the IS. In TG-treated cells (No IS), however, these heterogeneous [Ca2+]i profiles were not observed (Figure 5C and D). A quantification of the Ca2+ heterogeneity in the presence or absence of an IS was done by calculating the coefficient of variation (CV). An increase in the CV indicates that the spatial signal fluctuations are increasing in relation to the mean signal, suggesting a higher heterogeneity of the signal. The analysis of CV over time illustrates that fluorescence heterogeneity is more pronounced after IS formation following Ca2+ influx (Figure 5E and F). Greater statistical differences were obtained with the Ca2+ indicator Fluo-4FF because of its lower affinity for Ca2+ (Kd=9.7 μM) compared with Fluo-5F (Kd=2.3 μM). Taken together, we conclude that the accumulation of mitochondria strongly modulates local Ca2+ signals at the IS.
Mitochondria at the IS modulate the Ca2+ microdomain-dependent PMCA activity
PMCA activity has been reported to be modulated by global cytosolic Ca2+ signals but also by local Ca2+ microdomains generated beneath open ORAI channels (Bautista et al, 2002; Bautista and Lewis, 2004). Our analysis of local Ca2+ signals at the IS predicts that PMCA modulation should be influenced after IS formation. Using a previously described experimental approach (Bautista and Lewis, 2004) (details are explained in the Supplementary data and Supplementary Figure S3), we analysed the Ca2+ microdomain-dependent modulation of PMCA activity in the presence or absence of IS.
Ca2+ influx was activated by TG alone (No IS) or with a combination of TG and anti-CD3 antibody-coated beads (IS). To determine PMCA modulation, Ca2+ influx was activated in the presence of 1 mM external Ca2+ (Cao2+) and subsequently in the presence of 20 mM external Ca2+ (Figure 6A and B). As introduced by Bautista et al (2002) and Bautista and Lewis (2004) and in detail explained in the Supplementary data, we only analysed cells that displayed similar Ca2+ plateaus in 1 and 20 mM external Ca2+, so-called iso-cells. Figure 6A depicts the average response to 1 and 20 mM Cao2+ of iso-cells following TG stimulation or IS formation in Jurkat T cells, respectively. As has been reported previously for TG-stimulated T cells (No IS), 20 mM Cao2+ significantly elevated the clearance rate in every cell by an average of 1.6±0.03 a.u./s compared to those rates measured in 1 mM Cao2+ despite the same steady-state global [Ca2+]i (Bautista et al, 2002; Bautista and Lewis, 2004). Since CRAC/ORAI1 channels conduct more Ca2+ in 20 mM Ca2+o than in 1 mM Cao2+, Ca2+ export needs to be enhanced if global [Ca2+]i is in steady state. Bautista and Lewis (2004) demonstrated that this can only be explained by the contribution of local Ca2+ microdomains to PMCA modulation whose extent and/or magnitude are modulated by Cao2+. In contrast, IS formation completely abrogated the Ca2+ microdomain-dependent upregulation of PMCA activity (clearance rate difference was 1.1±0.09 a.u./s between 20 and 1 mM external Ca2+ (Figure 6A, red trace). Comparable results were obtained in human CD4+ T cells (Figure 6B) only that Cao2+ was elevated from 1 to 5 mM (and not to 20 mM) to avoid saturation of Fura-2 as human T lymphocytes display higher Ca2+ signals than Jurkat T cells. To explain these observations, we suggest the following hypothesis: mitochondrial accumulation in the immediate vicinity of the IS prevents local Ca2+-dependent modulation of PMCA activity. This hypothesis is in full agreement with our finding that Ca2+ microdomains at the IS are smaller than at the PM following TG stimulation.
Bautista et al (2002) and Bautista and Lewis (2004) have shown that the iso-cell analysis is not restricted to a subset of T cells. Nevertheless, we analysed subsets of cells in different phases of the cell cycle. Cells were arrested in different phases as confirmed by DAPI staining (Supplementary Figure S4A). Analysing Ca2+ extrusion rates similarly as shown in Figure 6A, we found again that up-modulation of the PMCA was reduced by IS formation (Supplementary Figure S4B), in G1 and S/G2 more drastically than in G1/S.
Although our PMCA modulation analysis supports our hypothesis about the main role of subplasmalemmal mitochondria to control local Ca2+ signals and Ca2+-dependent processes at the IS, we also performed a set of TIRFM experiments to analyse the local Ca2+ domains. We compared local Ca2+ signals generated by 1 and 20 mM Ca2+ solutions at the TIRF layer in the same cell following IS formation. The increase in Cao2+ will enhance the Ca2+ driving force and thereby generating larger Ca2+ influx. Figure 6C shows that local Ca2+ signals at the IS were independent of the extracellular Ca2+ solution because sustained Ca2+ microdomains generated by 1 and 20 mM Ca2+ solutions are similar in size following IS formation. We next tested the pump rates in TIRFM experiments and found no significant difference in the Ca2+ clearance rate of cells exposed to 1 and 20 mM Ca2+ solution following IS formation (Figure 6D). However, in the absence of IS (TG stimulation), PMCA modulation was present as seen before (Figure 6D, compare also with Figure 6A and B). Taken together, these results imply that mitochondria, through adapting their position at the IS and/or their amount of Ca2+ uptake, control the amplitude of the local Ca2+ microdomain at the IS and the global cytosolic Ca2+ signal.
From the data of Giacomello et al (2010), it is clear that mitochondria do not control store-operated Ca2+ entry in HeLa cells. This cell line is therefore a good ‘control’ for the mitochondria PM interaction that we found for the IS. We thus tested how much of the local Ca2+ concentration generated by store-operated Ca2+ entry was ‘translated’ into a global Ca2+ signal in HeLa cells. Figure 6E and F depicts local and global Ca2+ measurements following TG stimulation in the same HeLa cells. Comparing now the ratio between local and global Ca2+ in these cells with IS-forming Jurkat T cells, it is obvious that HeLa cells are very inefficient to transport local Ca2+ from the membrane into the cytosol because their local Ca2+ signal is very large in relation to their global Ca2+ signal (Figure 6F). This is different in T cells. Thus, we confirm the data by Giacomello et al (2010) that mitochondria do not control SOCE in HeLa cells. In T cells, however, mitochondria are much more dynamic and can adapt to the need of the immune synapse.
Although we found strong correlations between the amount of mitochondria at the IS and the local Ca2+ signal and subsequent PMCA modulation, we still wanted to disrupt mitochondrial localization at the IS without influencing ORAI1-dependent Ca2+ entry. By using cytoskeleton poisoning drugs (nocodazole, latrunculin A and B, cytochalasin D), we abrogated the cytoskeleton-dependent mitochondrial translocation to the IS. Importantly, the drugs do not affect CRAC/ORAI channel activity, pump rates, mitochondrial Ca2+ uptake, Ca2+-dependent K+ channel and Ca2+ release following formation of the IS (Quintana et al, 2006; Supplementary Figure S2). This implies that the entire Ca2+ influx and Ca2+ release processes are not altered by these drugs.
In case of nocodazole, a tubulin polymerization-disrupting drug, the recruitment of actin filaments (Figure 7A) and subsequent TCR accumulation (data not shown) to the IS, which are considered a hallmark for the formation of a matured IS, were not affected (Figure 7A), indicating that a functional IS was formed. In case of actin poison drugs, the situation was slightly different because the abrogation of actin polymerization disrupts of course IS formation (Figure 7A) and thereby the accumulation of mitochondria into the vicinity of IS. But the final result was the same as that obtained with nocodazole treatment because CRAC/ORAI channels, STIM1 and PMCA undergo a normal endoplasmic reticulum (ER) and PM re-arrangement following TG stimulation as previously reported (Bakowski et al, 2001; Quintana et al, 2006, 2007, 2009). The ORAI fluorescence at the TIRF layer and the ORAI fluorescence measured with epifluorescence were not significantly altered. In other words, actin is not required for STIM1–ORAI1-dependent Ca2+ influx upon TG stimulation (Bakowski et al, 2001; Mueller et al, 2007) (Supplementary Figure S2). Therefore, if one co-stimulates latrunculin or cytochalasin D-treated cells with antibodies-coated coverslips and TG, then cells should respond the same as No IS-stimulated cells (Quintana et al, 2007). Thus, in the absence of actin polymerization, mitochondria are not able to accumulate beneath the IS (Figure 8A and B), even though Ca2+ influx through CRAC/ORAI channels is ensured by TG stimulation (Bakowski et al, 2001; Mueller et al, 2007) (Supplementary Figure S2) in addition to focal stimulation through the beads.
As shown in Figure 8, the abrogation of mitochondrial translocation to the TIRF layer by cytoskeleton-disrupting drugs (Figure 8A and B) correlated with the presence of local PMCA modulation (Figure 8C–F). Most important is here the nocodazole experiment, because under these conditions there is still a functional IS formed. The increase of the Ca2+ clearance rate in the presence of cytoskeleton poisons compared with the control experiment (Figure 8G) is explained by the augmentation of local Ca2+ signals because of the absence of subplasmalemmal mitochondria (Figure 8A and B). This was directly proven by measurements of local Ca2+ influx in latrunculin B-treated cells. Interfering with actin polymerization generated local Ca2+ signals similar to control cells (Figure 8H). Overall, we can conclude that mitochondrial positioning relative to CRAC/ORAI channels is essential to control Ca2+ microdomains beneath the IS and the subsequent PMCA modulation.
A mathematical model predicts the dependence of global Ca2+ concentrations on local Ca2+ concentrations at the IS as a function of the distance between IS and mitochondria
At this point, our model that mitochondrial positioning controls the local and global Ca2+ concentrations at the IS has been tested by two independent lines of evidence: TIRF measurements of local Ca2+ and PMCA modulation analysis. As a final independent method to test the dependence of global Ca2+ concentrations on local Ca2+ concentrations controlled by mitochondria positioning, we developed a simplified mathematical model of the different Ca2+ transport mechanisms. The influence of mitochondrial localization within the cytosol relative to the IS on the spatial distribution of Ca2+ was tested in the presence of open CRAC channels and blocked SERCA pumps (implying empty Ca2+ stores and continuous activation of CRAC channels). Since we expected the distance between the opened CRAC channels and the mitochondria to be the dominant physical determinant of the spatial Ca2+ distribution in this situation, we reduced the model to one spatial dimension, that is, a single variable x varying between x=0 (position of the IS with activated CRAC channels) and x=L (position opposite to the IS, location of PMCA pumps away from the IS). Mitochondria occupy the region between xin and xout, and for simplicity, we consider a situation in which Ca influx has already saturated all buffers and that mitochondria only re-distribute Ca2+. We assume that the whole Ca2+ absorption capacity of the mitochondria is focused at position xin, and that all Ca2+ absorbed at xin is re-injected at position xout. It is straightforward to generalize the model to continuous distributions of sources and sinks—here we stick to the simplest version since it is sufficient to understand the basic mechanisms.
Since PMCA are found at the IS and away from the IS, we located PMCA pumps close to the IS (at x=x0, where x0=100–200 nm) and at the opposite end of the cell (at x=L). In a one-dimensional model, there is no lateral direction, for which reason we have to place the mathematical representation of this PMCA behind the CRAC channel into the cytosol. The physical effect is the same as a sink located laterally in close distance: The Ca2+ concentration in the IS microdomain will be reduced.
We assume that all channel capacities and rates are constant and pump rates are linearly depended on the local Ca2+ concentration. The model and the expected spatial dependence of the Ca2+ concentration are sketched in Figure 9A (mathematical representation in Supplementary data). When no mobile buffers are present, cytosolic Ca2+ is freely diffusing, with sources and sinks as described above. Mathematically, this problem is described by a one-dimensional diffusion equation with sources, sinks and appropriate boundary conditions, which is solved in the Supplementary data. In Figure 9B, the Ca2+ concentration is shown as a function of x for different positions xin, which is the distance between IS and mitochondria. As expected, the Ca2+ concentration at the IS decreases with decreasing the distance between IS and mitochondria, whereas the global Ca2+ concentration away from the IS increases. The effect is most pronounced for high mitochondrial uptake rates, where also the Ca2+ concentration at the IS is lowest. In Figure 9C, we compare the average Ca2+ concentration in the IS microdomain with the average global Ca2+ concentration, cglobal. Clearly, Ca2+IS increases monotonically with the distance xin of the mitochondria from the IS, whereas cglobal decreases monotonically. Using this simple model, we have demonstrated that mitochondria relocation to the IS is sufficient to increase global Ca2+ concentrations. One might have expected that moving a strong sink closer to the main Ca2+ source will decrease the Ca2+ here and that the release of this absorbed Ca2+ at a distant site will increase the Ca2+ concentration there. But that the total amount of Ca2+ present in the cell will be substantially increased already by this simple re-distribution without any further mechanisms involved appears to be a rather non-trivial prediction of this simple model. In conclusion, the model predicts the dependence of global Ca2+ on local Ca2+ as a function of the distance between mitochondria and IS. If mitochondria are far away from the PM (No IS; Figure 4), the local Ca2+ concentration is high and the global one low, which is inverted if mitochondria are close to the PM in case the IS is formed (Figure 4).
Discussion
The sustained signalling required for efficient Th-cell activation is achieved through the formation of a matured IS, a highly organized molecular mechanism that allows the integration of local PM receptor stimulation into sustained cell activation and differentiation (Dustin and Cooper, 2000). In this study, we have shown that the IS controls Ca2+ microdomains around ORAI channels with a mechanism that is optimized for T-cell activation. This is achieved by bringing mitochondria and ORAI channels into close proximity (∼200 nm) and by re-organizing PMCA into discrete regions of the PM where they are co-localized with mitochondria at the IS. The protein and organelle re-distribution allows mitochondria to rapidly take up the inflowing Ca2+, thereby avoiding high Ca2+ microdomains close to ORAI channels, which prevents Ca2+-dependent channel inactivation and reduce local Ca2+-dependent PMCA modulation. This optimizes net Ca2+ influx at the IS. By slowly exporting Ca2+ further away from the PM, mitochondria sustain an elevated global Ca2+ signal that enhances the translocation of NFAT into the nucleus and the subsequent activation of Th cells.
The positioning of mitochondria close to ORAI channel clusters (∼200 nm) is in a good agreement with the nano-scale molecular activation model of ORAI channels (Lewis, 2007). Following store depletion, STIM1 proteins accumulate in pre-existing and newly created discrete subregions of junctional ER located 10–25 nm from the PM. At the same time, ORAI proteins accumulate in regions of the PM directly opposite to the STIM1 clusters (also called puncta). Only ORAI channels in direct contact with STIM1 can be activated (Feske, 2007; Oh-hora and Rao, 2008). This protein–protein interaction precludes the localization of mitochondria directly beneath activated ORAI channel clusters. Very recently, the absence of co-localization between STIM1 puncta and subplasmalemmal mitochondria has been reported (Korzeniowski et al, 2009), which is in agreement with our results.
The mitochondrial control of CRAC/ORAI channels has been found to be important under physiological conditions of weak intracellular Ca2+ buffering (1.2 mM EGTA) but not in the presence of high concentration of Ca2+ chelator (10 mM EGTA) (Gilabert and Parekh, 2000; Hoth et al, 2000; Gilabert et al, 2001; Glitsch et al, 2002; Quintana et al, 2006). From these results, the size of Ca2+ microdomains that induces the slow Ca2+-dependent inactivation of ORAI channels can be predicted. The mean path length that a Ca2+ ion travels before being intercepted by a buffer molecule is given by λ (√Dca/konB). It depends on the chelator's on-rate kon, the free buffer concentration B and the Ca2+ diffusion coefficient Dca (Neher, 1998). Both Dca and kon are constants but buffer concentrations may change. While 10 mM of EGTA starts to intercept Ca2+ at 136 nm, 1.2 mM starts to buffer Ca2+ at 396 nm away from the pore of the channel. Thus, under physiological conditions, the slow Ca2+-dependent inactivation of ORAI channels is controlled by a Ca2+ microdomain whose size ranges between ∼140 and 400 nm. This covers the distance range (∼150–200 nm) between mitochondria and ORAI channels at the IS. Hence, the positioning of mitochondria relative to ORAI1/3 channels can explain the mitochondrial control of CRAC/ORAI channel activity as previously described (Gilabert and Parekh, 2000; Hoth et al, 2000; Gilabert et al, 2001; Glitsch et al, 2002; Quintana et al, 2006). In addition, active ORAI channels form clusters (1600–9000 nm2) (Park et al, 2009) upon TG stimulation and cap-like structures after IS formation (Barr et al, 2008), which generate larger and higher Ca2+ microdomains than that predicted beneath a single channel (Figure 9D). The latter explains why mitochondrial Ca2+ uptake and mitochondrial translocation towards the PM (once they reach the area <900 nm from the PM) upon TG stimulation also control CRAC/ORAI channel activity (Quintana et al, 2006), although mitochondria never localize within 200 nm of the PM under these conditions. However, mitochondrial control of ORAI channel activity is less efficient in the absence of IS formation, since sustained global Ca2+ signals following TG stimulation are significantly lower than global Ca2+ signals in the presence of the IS (Figure 4D). We can, therefore, conclude that the IS enhances the mitochondrial control of ORAI channel activity by facilitating a close localization of mitochondria to ORAI channels, which efficiently inhibits the generation of high local Ca2+ microdomains at the IS.
While mitochondrial Ca2+ uptake has been proven to be essential for the activity of CRAC/ORAI channels in a large variety of cells (Hoth et al, 1997; Montero et al, 2000; Bakowski et al, 2001; Varadi et al, 2004; Muñoz et al, 2011; Waldeck-Weiermair et al, 2011), in certain other cell types mitochondrial Ca2+ homeostasis has been described to be irrelevant for the activity of ORAI channels (Giacomello et al, 2010). We confirm that global and local Ca2+ signals in HeLa cells are much lower than in T cells following TG stimulation. More intrestingly, the ratio between local and global Ca2+ signals is significantly higher in HeLa than in Jurkat T cells. This implies that HeLas cells are not very efficient to purge incoming Ca2+ through CRAC/ORAI channels away from the PM, which is in full agreement with the data by Pozzan's group (Giacomello et al, 2010). However, mitochondrial Ca2+ signal increased following voltage-operated Ca2+ entry (VOCE) activation (Giacomello et al, 2010). This preference of subplasmalemmal mitochondria to sense Ca2+ microdomains generated either by VOCE or by CRAC/ORAI channels seems to be highly cell-type specific. Very recently, Muñoz et al (2011) demonstrated that mitochondria in vascular smooth muscles cells take up Ca2+ from CRAC/ORAI channels but not from VOCE (Muñoz et al, 2011). This allows mitochondria to control the Ca2+ influx-dependent proliferation of those cells. In case of T cells the major, if not sole, Ca2+ influx pathway is the STIM1–ORAI1-mediated capacitative Ca2+ entry (Feske et al, 2005, 2006). Since T-cell activation requires sustained Ca2+ signals for hours, the control of the slow Ca2+-dependent inactivation of CRAC/ORAI channels is essential. Mitochondria are very powerful intracellular Ca2+ buffers (Rizzuto and Pozzan, 2006) and are also highly mobile organelles (Yi et al, 2004; Quintana et al, 2007; Saotome et al, 2008; Schwindling et al, 2010). Therefore, it is not surprising that T cells accumulate a large amount of mitochondria beneath the IS where the signalling domain for T-cell activation is established. This is now more striking if we consider the large accumulation of STIM1, ORAI1 and PMCA at the IS.
Both the kinetics and the amount of mitochondrial Ca2+ uptake have been reported to increase significantly if mitochondria localize close to Ca2+ channels (Rizzuto et al, 1998). It was therefore not surprising to observe low and heterogeneous Ca2+ signals at the IS. Disruption of mitochondrial accumulation into the immediate vicinity of the IS recovered the high and homogeneous Ca2+ microdomains beneath the PM. These data are in contradiction to the findings of Lioudyno et al (2008), who reported higher Ca2+ signals at the T-cell–target cell interface, which were, however, not measured by TIRF. The [Ca2+]i gradient reported by the authors may be a direct consequence of mitochondrial Ca2+ indicator sequestration, which generates apparent [Ca2+]i gradients in T lymphocytes following TG stimulation or IS formation (Quintana and Hoth, 2004).
Finally, we demonstrated that the contribution of SERCA to Ca2+ microdomains is not important as local Ca2+ signals at the IS in the presence or absence of TG following formation of a matured IS were very similar. This highlights mitochondria as the major controlling unit of Ca2+ microdomains beneath CRAC/ORAI channels at the IS under physiological conditions. However, mitochondria by itself cannot regulate channel activity since they localize around 200 nm away from channel clusters. The local Ca2+ domain is likely to influence the activity of Ca2+-binding proteins such as calmodulin. Calmodulin interacts with and induces fast Ca2+-dependent inactivation of ORAI1 and ORAI3 (Mullins et al, 2009; Frischauf et al, 2011). Differences in the degree of Ca2+-dependent inactivation have been reported for ORAI1, ORAI2 and ORAI3, with ORAI3 showing the strongest fast inactivation but little slow inactivation (Lis et al, 2007). Whether calmodulin also influences the slow mitochondrial-dependent inactivation is not known. Calmodulin has also been reported to bind to the polybasic domain of STIM (Bauer et al, 2008), where it may affect association of this domain with the PM and subsequently the Ca2+ influx through CRAC/ORAI channels. Recently, a new Ca2+-binding protein, CRACR2A, has been described to participate in the formation and stability of STIM–ORAI1 complex (Srikanth et al, 2010). Although we do not yet know the threshold affinity of CRACR2A for Ca2+, one can speculate that mitochondrial-dependent Ca2+ microdomains around channels may regulate the function of CRACR2A and subsequently CRAC/ORAI channels. By preventing large accumulation of Ca2+ near the sites that govern slow inactivation of ORAI channels, mitochondria also reduce the Ca2+ microdomain-dependent modulation of PMCA. In this case, even though mitochondria and PMCA co-localize strongly at the IS, we have not found so far any evidence of organelle–protein interaction (data not shown). Nevertheless, since calmodulin has been described to modulate PMCA activity (Brini et al, 2003; Caride et al, 2007), one can again speculate that calmodulin-dependent PMCA activity would be highly sensitive to the subplasmalemmal Ca2+ signal. Therefore, by controlling local Ca2+ signals, mitochondria out compete PMCA, avoiding an inefficient Ca2+ recycling at the IS and thereby sustaining a long-lasting Ca2+ influx through CRAC/ORAI channels. This results in an enhanced global Ca2+ signals and an enlarged NFAT activity (Figure 9E). In contrast, if mitochondria are further away from the PM as is the case in the absence of an IS, local Ca2+ microdomains are larger, which subsequently induces slow Ca2+-dependent ORAI channel inactivation, increased PMCA activity, smaller global Ca2+ signals and a less efficient NFAT activity (Figure 9F). By specifically arranging mitochondria, ORAI channels and PMCA, the IS thus ensures efficient Ca2+-dependent activation and clonal expansion of Th cells during the immune response.
Materials and methods
Cells
Human Jurkat T-cell lines were grown as described previously (Quintana and Hoth, 2004). Jurkat F6 cell line was kindly provided by Professor CT Baldari (University of Sienna, Italy). Human peripheral blood lymphocytes and CD4+ T cells were isolated and cultured as previously described (Schwarz et al, 2007). To avoid pre-stimulation, CD4+ cells were negatively purified with ‘Dynabeads Untouched Human CD4 T Cells’ isolation kit from Invitrogen/Dynal following the manufacturer's instructions. The Burkitt's lymphoma B-cell line Raji was obtained from DSMZ (http://www.dsmz.de/) and was grown in RPMI-1640 medium (Invitrogen 21875-034) supplemented with 10% fetal calf serum and 1% of Pen/Strep antibiotic solution (Invitrogen 15140-122). HeLa cells were obtained from DSMZ and cultured in DMEM supplemented with 10% fetal calf serum and 1% Pen/Strep antibiotic solution.
Generation of stable ORAI1-expressing Jurkat T cell lines
Jurkat T cells (clone E6-1) were modified to stably express human ORAI1 with an extracellular HA-tag located between transmembrane segments 3 and 4 (ORAI1–HA) (Feske et al, 2006). To that end, the ORAI1–HA ORF was introduced into plasmid HDV (kindly provided by Dr Derya Unutmaz, NYU School of Medicine, USA) en bloc with a downstream puromycin selection cassette, by subcloning a continuous fragment from ORAI1–HA-containing vector MO91 (kindly provided by Dr Masatsugu Oh-hora, Department of Cell Signaling, Tokyo Medical and Dental University, Tokyo, Japan). For virus production, the resulting plasmid was co-transfected with pseudotyping plasmid VSV-G into HEK293T cells, employing the calcium phosphate transfection technique. Jurkat T cells were transduced with virus-containing HEK293T cell supernatant and grown in the presence of 3 μg/ml puromycin to enrich for transgene-expressing cells. Finally, clonal populations of ORAI1–HA-expressing Jurkat T cells were obtained using flow cytometric single cell sorting. Homogeneous ORAI1–HA expression after extended culture periods was verified by staining with anti-HA antibody and flow cytometric analysis.
Reagents and antibodies
All chemicals not specifically mentioned were from Sigma (highest grade). Other reagents used in our experiments include fura-2/AM (stock 1 mM in DMSO), Fluo-4FF (stock 10 mM in DMSO), Fluo-5F (stock 1 mM in DMSO), MitoTracker® Green FM (stock 200 μM in DMSO), MitoTracker® DeepRed/AM (stock 200 μM in DMSO), latrunculin B (stock 1 mg/ml in DMSO), latrunculin A (stock 1 mg/ml in DMSO), TG (stock 1 mM in DMSO) from Molecular Probes, anti-human CD3 and anti-human CD28 monoclonal antibodies (mAbs) from Biozol, azid-free activating monoclonal anti-LFA-1 (clone MEM-83) from Acris, anti-ORAI1 (Catalogie number 08264) from Sigma-Aldrich, anti-PMCA (clone 5F10) from Acris. Anti-human CD3 for stimulation with beads was obtained from Diaclone (clone B-B11) and for labelling from Biolegend (clone UCHT-1, coupled with Alexa647). Recombinant staphylococcal enterotoxin E (SEE) was from Toxin Technologies (Sarasota, Florida). Anti-human CD28 mAb for stimulation was obtained from Biozol. Dynabeads®CD3 beads for the cell-cycle experiments were from Invitrogen Dynal AS.
Cloning
hORAI1 or hORAI3 containing an mEGFP-tag at the N- or C-terminus were obtained by inserting PCR-amplified hORAI1 (NM 032790) or hORAI3 (NM 152288) either with or without a termination signal into modified pMax vectors (Lonza) containing either an mEGFP lacking the termination signal followed by an EcoRV site or containing mEGFP with an N-terminal EcoRV site and a C-terminal termination signal, respectively. Alternatively, a pMax vector containing the red fluorescent protein TagRFP-T was used to clone a C-terminally tagged hORAI1 construct. hSTIM1 containing a TagRFP-T tag at the C-terminus was obtained similar to ORAI constructs. All constructs were confirmed by DNA sequencing. The Lifeact-mRFPruby construct was kindly supplied by Dr Ronald Wedlich-Soldner, Max-Planck Institute for Biochemistry, Martinsried, Germany. The EGFP–PMCA4b construct was kindly supplied by Dr Stanley A Thayer from Department of Pharmacology, University of Minnesota Medical School, USA (Pottorf et al, 2006).
4D live-cell imaging
Jurka T cells were transfected 48 h before imaging with 5 μg ORAI–mEGFP vector plus 5 μg Lifeact-mRFPruby vector, 2.5 μg ORAI–mEGFP vector plus 5 μg STIM1–TagRFP-T vector or 2.5 μg EGFP–PMCA4b vector using Lonza nucleofection with protocol C-16. To label CD3, the cells were incubated with anti-CD3 Alexa647 antibody (clone UCHT-1) for 30 min at room temperature. Raji cells were incubated for 30 min at room temperature with 10 μg/ml SEE and 2 μM fura-2 to identify them. The cells were resuspended in standard 1 mM Ca2+ Ringer's solution (see Ca2+ imaging). After settling the Jurkat T cells on poly-L-ornithine-coated coverslips, Raji cells or stimulatory beads (see Ca2+ imaging) were added to the Jurkat T cells. The cells were imaged at 37°C using a Zeiss Cell Observer HS widefield microscope equipped with a × 40 Fluar oil lense (N.A. 1.3), a LED fluorescence lamp (Colibri, Zeiss), an objective piezo stepper (PIFOC, PI) and a standard monochrome CCD camera (AxioCam MRm, Zeiss) at binning 2 × 2. Filters were a quadband pinkel set (Semrock), a dualband pinkel set (56HE, Zeiss) and a single-band GFP filter (38HE, Zeiss). A Z-volume of 22 μm was imaged at 0.5 μm slice-distance every minute. The acquired images were corrected for crosstalk (Axiovision, Zeiss) and deconvolved by maximum-likelihood estimation algorithm (Huygens, SVI) with measured point spread function (PsSpeck-Kit, Invitrogen). For visualization, Z-stacks were projected as maximum intensity projections in XY.
Laser-scanning microscopy of fixed cells
Jurkat T cells and the low-expressing ORAI1-cellline clone J1.14 were fixed with 4% ice-cold paraformaldehyde, permeabilized with PBS/0.5 % Triton-X and stained with anti-ORAI1 or anti-PMCA (Borke et al, 1989; Magyar et al, 2002) or anti-SERCA 1, 2, 3 (clone H-300, Santa Cruz) primary antibodies as indicated followed by matching secondary antibodies conjugated with Alexa568 (Invitrogen). Images were acquired with a Zeiss LSM 710 equipped with a × 63 LCI Plan-Neofluar glycerine objective with Nyquist criterions matched and deconvolved (except PMCA stainings) by maximum-likelihood estimation algorithm (Huygens, SVI) with measured point spread function (PsSpeck-Kit, Invitrogen). For visualization, Z-stacks were projected as maximum intensity projections in XY.
Bioluminescence imaging of NFAT activity in single living cells
Jurkat T cells stably expressing the luciferase reporter gene under control of a triplet of NFAT response elements were cultured in bottom-glass Petri dishes in RPMI-1640 medium containing 10% FCS and 1 mM luciferin. Then Petri dish containing cells was placed in an incubator (Zeiss CTI-controller 3700) with controlled temperature (37°C), CO2 (5%) and humidity attached over the stage of an inverted microscope (Zeiss Axiovert S100 TV) for photon counting imaging of reporter gene that reflects NFAT transcription factor activity. Then cells were stimulated with TG, anti-CD3 mAbs or anti-CD3 antibody-coated beads. Finally, photonic emissions were captured concurrently with brightfield images with a Hamamatsu VIM photon counting camera handled with an Argus-20 image processor at 15 min intervals for either 6 or 14 h. Transcription activity is expressed as total photonic emissions in each image minus background photonic emissions (specific photonic emissions), as previously reported (Valero et al, 2008).
Ca2+ imaging
Ca2+ imaging and fluorescence measurements MitoTracker® Green FM (Molecular Probes) were carried out as previously described (Quintana and Hoth, 2004; Quintana et al, 2006, 2007) only that ratio images were recorded at intervals of 5 s. Standard 1 mM Ca2+ Ringer's solution contained (in mM): 155 NaCl, 4.5 KCl, 1 CaCl2, 2 MgCl2, 10 D-glucose, and 5 Hepes (pH 7.4 with NaOH). CaCl2 was substituted by 1 mM EGTA to prepare 0 Ca2+ Ringer's solution or increased to prepare 20 mM Ca2+ Ringer's solution. TG (1 μM) alone or together with anti-human CD3 or anti-human CD3/anti-human CD28 antibody-coated beads were used to stimulate Jurkat T cells and CD4+ T cells, respectively. Antibody-coated bead preparation was carried out exactly as described previously (Quintana et al, 2007).
Mitochondrial Ca2+ measurements
Mitochondrial Ca2+ signals were measured and analysed exactly as previously described (Quintana et al, 2007, 2009).
Evanescent-wave imaging
TIRFM was carried out as described previously (Quintana et al, 2007, 2009). Cells were loaded at 22–23°C for 30–45 min with 10 μM Fluo-4FF/AM, 1 μM Fluo-5F/AM and/or 100–200 nM MitoTracker® Green/AM or 50–100 nM MitoTracker® DeepRed/AM in culture medium containing 10 mM HEPES, washed with fresh medium, stored at RT for 10 min, and immediately used.
In vitro calibration of Fluo-5F
To distinguish the difference between the local and global calcium signal, Ringer solutions with either 0 (1 mM EGTA) or 1 mM Ca2+ were supplemented with different concentrations of Fluo-5F pentapotassium salt (1, 5, 7.5, 10, 25, 50, 100 μM) and measured in TIRF and epifluorescence mode under the same conditions as the cells were imaged. We confirmed linear increase of the dye's fluorescence (R2>0.98) and calculated the slope a for TIRF and EPI in 0 (1 mM EGTA) and 1 mM Ca2+ Ringer solution. Rmin was estimated as the fluorescence value when the cells were fully depleted of Ca2+ (after 0 Ca2+/EGTA/TG treatment for 10 min). This was done for every single cell separately, making it independent from the cell-specific loading of the non-ratiometric dye. Rmax could then be calculated by taking the ratio of the slopes between 0 (1 mM EGTA) and 1 mM Ca2+ Ringer solutions (a1Ca/a0Ca) times Rmin. The Kd of Fluo-5F is 2.3 μM. The Ca2+ concentration was then calculated with the formula:
Electrophysiology
Patch-clamp experiments were performed and analysed as previously described (Fanger et al, 1995; Quintana et al, 2007). The actin cytoskeleton-disrupting drugs cytochalasin D (10 μM), latrunculin A (10 μg/ml) or latrunculin B (10 μg/ml) were added to the external solution and cells were pre-incubated with the respective drugs for 30, 10 or 10 min, respectively, before recording.
Cell synchronization and cell-cycle analysis
Jurkat T cells were grown in standard RPMI-1640 to a density of 0.8–1.2 × 106 cells/ml. Cells were synchronized and arrested at different phases of cell cycle. For the initial synchronization of cells at the G0/G1 phase, cells were cultured for 48 h in isoleucine-free RPMI-1640 (Invitrus, Switzerland). To arrest the cells at G1/S border, cells were treated with 200 ng/ml aphidicolin (Sigma) for 24 h in standard culture medium. Cells were thereafter released in standard culture medium for 4 h to enrich the cells at the S phase, followed by treatment with 100 ng/ml nocodazole for 16 h to arrest the cells at the G2/M phase. Transitions between different culture media were preceded by washing the cells once with PBS. At each time point, T-cells were fixed and stained with DAPI for DNA analysis and used for Ca2+-imaging experiments and high-resolution epifluorescence microscopy in parallel. For DNA analysis, DAPI fluorescence pictures were acquired on a Zeiss Cell Observer with a × 5 objective. Images were automatically segmented with Zeiss Axiovision software and ROIs of cell conglomerates were excluded manually. The densitometric sum of each single ROI was found to best reflect the DNA content. Histograms of single cell values were fitted with the sum of two Gaussian distribution (for G1 and G2 phase) and a broadened Gaussian (the product of two sigmoid functions, for S phase). Fitting was performed with Igor Pro 6.0.3.1 (Wavemetrics, Lake Oswego, Oregon), with initial manual guessing and constraints (the broadened Gaussian had to be located between 1.1 and 1.9).
Data analysis
Data were analysed using TILL Vision (TILL Photonics), Igor Pro (Wavemetrics), ImageJ (NIH), AxioVision (Zeiss), Pulse (HEKA), Fit Master (HEKA) and Microsoft Excel (Microsoft). All values are given as mean±s.e.m. (number of cells). Between three and six independent experiments were performed for each experimental condition. In case, data points were normally distributed, an unpaired two-sided Student's t-test was used. If normal distribution could not be confirmed, a non-parametric test (Mann–Whitney) was carried out. P-values are stated in the figure legends. Level of significance is indicated in Figures 1, 2 and 6 (*P<0.05, **P<0.01, ***P<0.001). For co-localization analysis, we used the ImageJ macro JACoP. The CV of the pixel-to-pixel fluorescence (as a normalized measure of spatial heterogeneity) was defined as the ratio of standard deviation of the raw fluorescence intensity to the mean fluorescence (after subtraction of background signal) over all pixels of the footprint area (Luccardini et al, 2009).
Supplementary Material
Acknowledgments
Research carried out for this study with human material has been approved by the local ethics committee. We thank Bettina Strauß and Anja Ludes for excellent technical support. We thank Dr Stanley A Thayer for supplying the EGFP–PMCA4b construct. This project was funded by the Deutsche Forschungsgemeinschaft: SFB 530, project A3, SFB 894, project A1, Graduate College ‘Molecular, physiological and pharmacological analysis of cellular membrane transport’, and Grant KR 3430/1-1 (with Karsten Kruse) to MH; SFB 894, project A2, Graduate College ‘Calcium signalling and nanodomains’ to BAN; SFB 530, project C12 to UB) and a competitive intrafaculty Grant from HOMFOR (to AQ).
Author contributions: AQ wrote the MS, did and designed the experiments and analysed the data; MP, CJ, DA-A, HR, CK and LN did and designed the experiments and analysed the data; CV and BAN designed the experiments and analysed the data; PM did the experiments; UB designed the experiments; JR analysed the data; MH wrote the MS, analysed the data and also designed experiments; HR also wrote part of the MS.
Footnotes
The authors declare that they have no conflict of interest.
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