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Nature. Author manuscript; available in PMC 2009 October 2.
Published in final edited form as:
PMCID: PMC2702691
EMSID: UKMS4239

Clustering of IP3 receptors by IP3 retunes their regulation by IP3 and Ca2+

Abstract

The versatility of Ca2+ signals derives from their spatio-temporal organization1,2. For Ca2+ signals initiated by inositol trisphosphate (IP3) this requires local interactions between IP3 receptors (IP3R)3,4 mediated by their rapid stimulation and slower inhibition4 by cytosolic Ca2+. This allows hierarchical recruitment of Ca2+ release events as the IP3 concentration increases5. Single IP3R respond first, then clustered IP3R open together giving a local Ca2+ puff, and as puffs become more frequent they ignite regenerative Ca2+ waves1,5-9. We demonstrate, using nuclear patch-clamp recording10, that IP3R are initially randomly distributed with an estimated separation of ~1 μm. Low concentrations of IP3 cause IP3R to aggregate rapidly and reversibly into small clusters of ~4 closely associated IP3R. At resting cytosolic [Ca2+], clustered IP3R open independently, but with lower open probability (Po), shorter open time, and lesser IP3 sensitivity than lone IP3R. Increasing cytosolic [Ca2+] reverses the inhibition caused by clustering, IP3R gating becomes coupled, and the duration of multiple openings is prolonged. Clustering both exposes IP3R to local Ca2+ rises and increases the effects of Ca2+. Dynamic regulation of clustering by IP3 tunes IP3R sensitivity to IP3 and Ca2+, facilitating hierarchical recruitment of the elementary events that underlie all IP3-evoked Ca2+ signals3,5.

IP3-activated currents recorded from patches excised from the outer nuclear envelope of DT40 cells10 expressing rat IP3R3 are entirely due to IP3R3 (Fig. 1). With 10 μM IP3 in the pipette solution (PS) the single channel open probability (Po) was 0.44 ± 0.05 (n = 6) and the mean open time (τo) was 11.9 ± 1.6 ms. The distribution of closed times (τc) had two components (Fig. 1d). Recordings in the on-nucleus configuration confirmed these results (not shown). The results are consistent with the gating scheme shown in Figure 1d (see Supplementary Methods).

Figure 1
IP3R are randomly distributed

The number of channels within a patch (1.34 ± 0.13, n = 109) can be estimated reliably from the largest multiple of simultaneous openings to the unitary current level (Fig. 1e, Methods). The distribution of IP3R in a patch is random: it is not significantly different from a Poisson distribution (χ2, p>0.05; Fig. 1f, Supplementary Table 1). Others suggested that IP3R are clustered in the nuclear envelope11,12, but it seems likely that in making repeated recordings from the same nucleus they stimulated nuclei with IP3 before recording and thereby caused IP3R clustering (see below).

Channel activity (Po, Fig. 2a-c), but not the number of active IP3R (Fig. 2d), increased with IP3 concentration (EC50 = 1.38 ± 0.03 μM for patches with one IP3R). There was more than one IP3R in 57% of active patches, and each opened to the same γ (Fig. (Fig.1e,1e, ,2a),2a), but NPo (the overall channel activity) was less than expected from the summed behaviour of lone IP3R (Fig. 2e). For multi-IP3R patches, the sensitivity to IP3 of NPo was also significantly reduced (EC50 = 2.47 ± 0.25 μM for patches with 3 IP3R, Fig. 2c, Supplementary Table 2). Do IP3R behave independently in such multi-IP3R patches or do they interact, like some ryanodine receptors13,14? For each of the four states in patches with three IP3R (closed and 1, 2 or 3 simultaneously open IP3R), Po predicted from the binomial distribution matched the observed Po (Fig. 2f, Methods). Similar results were obtained for patches with different numbers of IP3R and for type 1 IP3R (Supplementary Figs 1, 2). At resting cytosolic [Ca2+], therefore, each IP3R within a multi-IP3R patch behaves identically and opens independently.

Figure 2
Lone IP3R are more active than clustered IP3R at resting cytosolic Ca2+

How can randomly distributed IP3R that open independently behave with such uniformity, and yet so differently from lone IP3R, when a patch fortuitously contains several IP3R? Recordings from Xenopus nuclei also suggest that heterogenous behaviour of lone IP3R becomes more uniform when patches contain several IP3R15. We suggest that IP3 causes IP3R to cluster16 and that clustered IP3R are less active. To test this hypothesis, nuclei were bathed in IP3 (10 μM, 2 min) before forming seals for patch-clamp recording. In these paired experiments, the mean number of IP3R per patch was unaffected by IP3-pre-treatment (Supplementary Table 1), confirming that IP3 neither inactivated IP3R nor affected the area of membrane trapped beneath the patch. But the distributions of IP3R were very different before and after IP3 treatment (Fig. 3a). In naïve nuclei IP3R were randomly distributed (Fig. 3b), but their distribution after IP3-pre-treatment differed significantly from the Poisson distribution (p<0.05): many patches had no IP3R, single IP3R were under-represented, and several patches had unusually large numbers of IP3R (Fig. 3c). This clustering of IP3R fully reversed within 8-10 min of removing IP3 (Fig. 3a, d). Po of lone IP3R from naïve nuclei (0.44 ± 0.05, n = 6) was indistinguishable from Po of the only lone IP3R caught within a patch after IP3 pre-treatment (0.41). Po for each IP3R within a cluster was also indistinguishable for recordings from naïve (0.24 ± 0.01, n = 18) and IP3-pre-treated nuclei (0.25 ± 0.01, n = 18). Furthermore, there was no decrease in Po during recordings that outlasted the IP3 pre-treatment (Supplementary Fig. 3). We conclude that clustering, rather than IP3 per se, decreases Po.

Figure 3
Reversible clustering of IP3R by IP3

The decrease in Po as IP3R cluster is identical whether clustering is evoked by application of IP3 to an isolated patch (Fig. 2e, h) or the entire nucleus (Fig. 3e). Both reduce Po to ~54% that of lone IP3R. The latter condition better replicates the situation in vivo, confirming that results with isolated patches (Figs (Figs1,1, ,2)2) faithfully report the behaviour of IP3R roaming freely within the nuclear envelope. The effect of cluster size on Po indicates that pairing of IP3R is sufficient to cause the maximal decrease in Po. Additional IP3R can join a cluster, and their activity is attenuated, but IP3R within larger clusters are no more inhibited than pairs of IP3R (Figs 2g, h, Supplementary Table 2). IP3R associate with actin4 and microtubules17, but neither is required for clustering-evoked changes in Po (Supplementary Fig. 4).

To examine the effects of clustering on IP3R gating, we compared mean open time (τo, Supplementary Information) of lone IP3R with τo for single channel openings from patches with several (N) IP3R (blue line in Fig. 3f). These τo should be similar if lone and grouped IP3R behave identically. For multi-IP3R patches, we also measured the duration of events in which all IP3R were simultaneously open (τo,N, red line in Fig. 3f), and from that calculated τo for individual, independently gated IP3R (=Nτo,N). Both analyses gave the same result: τo for IP3R within a cluster was reduced to 47% of that for lone IP3R (Fig. 3f). A similar analysis of closed states confirmed that neither was affected by clustering (Supplementary Fig. 5, Supplementary Table 3). IP3-evoked clustering almost doubles the rate of channel closure (1/τo) and this is alone sufficient (Supplementary Fig. 6, Supplementary Table 4) to account for the decreased Po of clustered IP3R (Fig. 2g). Clustered IP3R open for half as long as lone IP3R (5.4 vs 11.9 ms), and pairing of IP3R is enough to cause the full effect (Fig. 2g). Other regulators of IP3R usually influence τc and so rates of channel opening4. The difference is important because τo will affect the time course of the initial Ca2+ release within elementary events7 and thereby Ca2+-mediated interplay between clustered IP3R. This is confirmed by simulations of intracellular Ca2+ spikes, where the ~50% decrease in τo of clustered IP3R causes the frequency of Ca2+ spiking to decrease by 4-fold (Supplementary Fig. 7).

Within a patch, cluster size is limited to the number of IP3R fortuitously caught beneath the patch-pipette, but for nuclei pre-treated with bath-applied IP3 the clusters are larger (Fig. 3c). This demonstrates that a maximal concentration of IP3 causes >93% of IP3R to cluster (85/91 IP3R from 88 nuclei pre-treated with IP3) and the average cluster contains 4.25 ± 0.38 IP3R (Methods). Inhibition of IP3R within a cluster is not caused by feedback inhibition4 from Ca2+ passing through neighbouring IP3R. Both BS and PS have the same [Ca2+] and are buffered with BAPTA, the inhibition occurs at positive (Fig. 2) and negative holding potentials (Supplementary Discussion), and clustered IP3R open independently (Fig. 2f). Because permeating ions cannot regulate neighbouring IP3R under our recording conditions, inhibition must be mediated by contacts between IP3R. From this, we estimate that the average separation of IP3R falls from ~1 μm to ~20 nm after clustering, and that clusters are ~2 μm apart (Supplementary Discussion). These spacings concur with confocal measurements suggesting that a Ca2+ puff originates from a cluster ~50 nm wide and that clusters are ~3 μm apart18. When expressed at high densities, IP3R19 and ryanodine receptors20 form arrays with each tetrameric receptor contacting four others. We speculate that IP3-evoked clusters (of 4.25 ± 0.38 IP3R) exploit similar contacts and so, with single IP3R, form the fundamental units of Ca2+ signalling (Fig. 3g).

IP3-evoked clustering is complete within seconds of stimulation with a maximal concentration of IP3 (Supplementary Fig. 3). To resolve the time course, we used photolysis of caged IP3 rapidly to increase the IP3 concentration bathing IP3R trapped beneath the patch-pipette. IP3R were initially quiescent and then rapidly activated when IP3 was photo-released (Fig. 3h). Irrespective of the number of IP3R caught within a patch, τo was initially similar for all IP3R (~10 ms). It then remained stable for many minutes for lone IP3R (11.4 ± 0.5 ms), but τo fell within 2.5 s to 5.8 ± 0.3 ms for patches containing more than one IP3R (Fig. 3i, Supplementary Fig. 8). Using τo to report IP3R clustering suggests that clustering is complete within 2.5 s of IP3 addition. A similar analysis of Po suggests a half-time for clustering of ~1.5-2 s (Fig. 3i). Our evidence that clustering does not require the cytoskeleton and measurements of IP3R3 mobility21,22 suggest that diffusion alone may be sufficient to allow IP3R3 clustering within a few seconds (Supplementary Discussion).

We can define the IP3 sensitivity of clustering by measuring the extent to which Po of each IP3R within a multi-IP3R patch (Po = NPo/N, Supplementary Abbreviations) falls below Po of an identically stimulated lone IP3R (Plone). This demonstrates that IP3R clustering (EC50 < 300 nM) is ~10-times more sensitive to IP3 than channel opening (EC50 = 2.02 μM, Fig. 3e). Steady-state exposure to low IP3 concentrations that evoke Ca2+ puffs5,7 would, by assembling IP3R clusters, allow both generation of puffs and loss of Ca2+ blips23.

Clustering moves IP3R (~1 μm apart) from being insulated from their neighbours by Ca2+-buffering to domains (~20 nm apart) where they will instantly experience high local [Ca2+] whenever a neighbour opens24 (Supplementary Fig. 7). Hitherto (Figs (Figs11​-3), we prevented such interactions by using K+ as charge-carrier and recording at a free [Ca2+] (200 nM) that mimics a resting cell. Subsequent experiments include 1 μM free [Ca2+] with IP3 in PS to simulate the [Ca2+] near open IP3R. For simplicity we use K+ as charge-carrier. With 1 μM [Ca2+] in PS, IP3R activity was increased: Po for lone IP3R almost doubled, as τc decreased (Fig. 4a)4. Neither the number of IP3R/patch (1.12 ± 0.24) nor their random distribution (Fig. 4b) was affected by Ca2+, but the interplay between IP3R was altered. Whereas clustering reduced the overall activity of IP3R (NPo) at resting [Ca2+] (Fig. 2e), the inhibition was reversed by increased [Ca2+], such that the collective activity of a pair of IP3R (NPo) was the same as that predicted from the summed activity of two lone IP3R (Fig. 4c). This did not result from disaggregation of clusters because at increased [Ca2+], IP3R no longer opened independently. In patches with two IP3R (open-channel noise prevented analysis of larger clusters), open probabilities did not fit the binomial distribution (Fig. 4e): double open and closed events were over-represented (Supplementary Fig. 9). Furthermore, there were many examples of IP3R opening and closing directly to and from states with both IP3R open (Fig. 4d). For paired IP3R, the double openings were prolonged by 50% (Fig. 4f), but 47% less frequent than expected (Fig. 4g). The overall increase in Po for double openings was therefore small (12%) and counteracted by a 39% decrease in the probability of only one IP3R being open and a 116% increase in the probability of both being closed (Fig. 4e). Clustered IP3R exposed to increased [Ca2+] do not therefore behave independently. Their gating is coupled13,14: they are more likely to open and close together, and their simultaneous openings are prolonged (Supplementary Fig. 9). Coupled gating is not caused by local increases in cytosolic [Ca2+], and must instead result from physical coupling of IP3R. Under physiological conditions, clustered IP3R are more likely to experience increased [Ca2+] (because their neighbours may release it), and they are also tuned to respond most to it. By suppressing IP3R activity at resting [Ca2+], clustering increases the impact of a subsequent local increase in [Ca2+] (Supplementary Fig. 7). Within a cluster, increased Ca2+ increases Po (as it does for lone IP3R), but it also reverses the inhibition evoked by clustering and it causes coupled gating. These interactions exaggerate the effect of Ca2+ within a cluster (Fig. 4h). We conclude that IP3 dynamically regulates the assembly and behaviour of Ca2+ puff sites. IP3 rapidly drives IP3R into small clusters, wherein their IP3 and Ca2+ sensitivities are re-tuned to exaggerate Ca2+-mediated recruitment of IP3R and allow hierarchical recruitment of Ca2+ release events (Fig. 4h​, Supplementary Fig. 7)5,7.

Figure 4
Clustering retunes Ca2+ regulation of IP3R

METHODS SUMMARY

Nuclei from DT40-IP3R3 cells25 were used for patch-clamp recording from excised patches10.

Supplementary Material

Acknowledgements

Supported by The Wellcome Trust (CWT), The Biotechnology and Biological Sciences Research Council (CWT), a scholarship from the Jameel Family Trust (TUR), and the IRTG “Genomics and Systems Biology of Molecular Networks” of the Deutsche Forschungsgemeinschaft (MF). We thank S. Dedos for help with DT40 cells, D. Prole and B. Billups for advice, and T. Kurosaki for providing DT40KO cells.

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