- Research article
- Open Access
Evidence for non-independent gating of P2X2 receptors expressed in Xenopusoocytes
BMC Neuroscience volume 3, Article number: 17 (2002)
P2X2 receptor is an ATP-activated ion channel which is widely expressed in the nervous system, and mediates synaptic transmission.
We recorded currents of P2X2 receptors expressed in Xenopus oocytes from outside-out patches and have found that currents recorded from patches containing a single or multiple P2X2 channels differ in a manner suggesting positive cooperativity. First, the currents from multichannel patches exhibit simultaneous transitions more frequently than predicted from the activity of independent channels. Second, the mean open lifetime at the current level of a single channel in a multichannel burst is about six times longer than the open time of currents from single channel patches, a trend opposite to what is expected of independent channels. These results indicate that the channels have positive cooperativity and that the longer opening is due to a slower closing rate. Third, from kinetic analysis the likelihood of the cooperative model is significantly larger than that of the independent model. Fourth, the open channel noise of currents from patches containing multiple channels is less than half that from a single channel, which is consistent with the channel properties being different when they are active in groups.
Taken together, our results suggest that P2X2 receptors are non-independent, but interact with positive cooperativity.
ATP functions as a neurotransmitter in the central nervous system [1–3]. Synaptically released ATP acts on a class of ligand-gated ion channels called P2X [4–7]. While the dynamics of these channels have been studied [8, 9], a common assumption is that the channels are independent. This paper questions that assumption.
Patch-clamp techniques  made it possible to observe directly the conformational changes of a single channel, but there are usually multiple channels in a patch. If the channels behave independently and are not too abundant, the mathematics and analysis of the data is straightforward http://www.qub.buffalo.edu. However, the assumption of independence is rarely tested, and may be wrong. Functional interactions between channels have not been studied intensively but data do exist showing cooperativity . The presence of cooperativity changes the significance of expression density.
Homomeric channel interactions have appeared as an excess of multiple openings (relative to independent channel expectations) in K+ channels  and acetylcholine receptors [11, 13–15]. Interaction between heterologous channels has also been demonstrated between Ca2+ and Ca2+-activated K+ channels  that may be explained by intracellular accumulation of Ca2+ near closely spaced channels. Nicotinic acetylcholine receptors also interact with P2X2 receptors  via unknown mechanisms.
In our previous papers [18, 19] we studied the open channel and gating properties of P2X2 receptors. The data for these kinetic analyses were obtained from the patches containing a single channel. Here, we report discrepancies between single channel and multiple channel currents. Analysis from open channel lifetimes, open channel noise and kinetics indicate that the receptors are not independent, but have positive cooperativity.
Records from patches of multiple channels containing frequent concurrences
Figure 1A shows typical multiple channel currents activated by 10 μM ATP at -120 mV recorded from an Xenopus oocyte. 10 μM ATP is about equal to EC50 value. Since we did not see open level more than 3 channels from entirely record, we think the patch contained at least three channels. As indicated by arrows, there are many simultaneous closing and open transitions. These concurrences of openings and closings are highly suggestive of channel interactions since independent channels would have less clustering . We observed this phenomenon in all seven multiple-channel patches.
We estimated the channel amplitude by fitting amplitude histograms (Figure 1B) with four Gaussians representing the closed, 1st, 2nd, and 3rd open level. The mean current of the states was 4.0, 7.9 and 11.9 pA, respectively. The mean open channel noise/channel was ~1.2 pA with a 5 kHz bandwidth (estimated from the standard deviation of the Gaussians), a value ~30 % of the mean open channel current amplitude (also see Figure 3D). Since the amplitude and open channel noise of the different open levels are essentially the same, the conductance properties appear identical.
The probability that k channels are open out of a total of N should follow a binomial distribution if the channels are identical and independent (Eq. 6). A deviation from this distribution would indicate that at least one of the assumptions is not true. Using po obtained from the single channel dose-response curve shown in Fig. 2, we have plotted in Figure 1C the ratio of the observed open probability at each level, P(k) exp , to the predicted distribution obtained from the binomial distribution, P(k) binomial . If channel behaviors are the same in patches containing a single and multiple channels, P(k) exp /P(k) binomial should be ~1 regardless of k. The results show here that P(k) exp /P(k) binomial increases with increasing k, suggesting a positive deviation from the binomial distribution. However, p o = 0.4 is a more accurate value estimated from the optimization, indicating the increase in open probability of channel in multiple-channel patches. These analysis strongly suggest that the gating mechanism is different between single channel and multiple channels
However, the binomial test is not a stringent test of cooperativity, especially for relatively small deviations. Binomial tests do not contain any kinetic information, only equilibrium information. As Horn  pointed out, the binomial distribution is no better a statistical predictor for the number of active channels in a patch than is the maximum observed level. A better test of independence is to ask whether events are correlated in time, since that utilizes both amplitude and duration information. That analysis is discussed later in the paper.
Dose-response curves of single channel current and multiple channel current have similar EC50values and Hill coefficients
Figure 2 shows multiple channel currents activated at different concentrations of ATP (A) and the peak-current dose-response curve (B, Circles). In order to compute the mean response from multiple channel currents, the dose-response curves were normalized to the current activated by 50 μM ATP and fit with the Hill equation. This yielded an EC50 of 9.8 ± 0.8 μM and a Hill coefficient of 1.9 ± 0.29. Figure 2B also shows the dose-response curve of single channel currents (Diamonds), fit with a Hill coefficient, EC50 and p o,max of 2.3 ± 0.44, 11.2 ± 1.0 μM and 0.61 respectively . These parameters depend on the molecular rate constants in the reaction pathway. The similar values of EC50 and Hill coefficient of multiple channel currents and single channel currents suggest that the rate constants along the activation pathway had changed in a compensatory way. However, we do not know the absolute value of p o in multiple channel currents and had to normalize the data of a single channel.
Mean open time of a single channel is much shorter than multiple channels
We might assume that rate constants in the activation pathway are similar in single channel currents and multiple channel currents since both have a similar EC50 and Hill coefficient. Because we saw clusters of openings, we presumed the dominant effect might be on the closing rates associated with aggregation. Earlier kinetic analyses of single channel currents suggested that there were at least three binding sites (four closed states) in the activation pathway . Although the presence of aggregated closed states complicates the kinetics of multiple-channel currents, the mean open channel lifetime can be computed without explicitly considering the four closed states. By comparing the mean open lifetime of single channel currents and mean open lifetime of each level in multiple channel currents, we can determine whether the mean closing rate (i.e. the inverse of the mean open time) is affected by channel interactions. We obtained the lifetimes of different current levels from idealization of the currents using the program SKM http://www.qub.buffalo.edu. Our previous study demonstrated that the mean open lifetime was independent of ATP concentration .
Figures 3A and 3B show currents from a single-channel and a two-channel patch (upper panel) with the idealized currents shown above the raw data, and their amplitude histograms below. From visual inspection we can see that the open times of the currents from the two-channel patch are much longer than those from the single channel patch. We analyzed the mean open times of currents containing one, two, or three channels in the patch and these are plotted in Figure 3C. The mean open time of a single channel patch is 2.50 ± 0.67 ms (n = 6), while in the multiple channel patches mean open time of each level is longer; opposite to the behavior expected for independent channels. With independent channels, a given state lifetime should decrease when more channels are available to change state. The increase in mean open lifetime with channel number in the patches is consistent with our observation of a trend toward positive deviations from the binomial distribution (Fig 1C).
Consider a simple two-state model:
where C and O represent the closed and open states; α and β are opening and closing rate constants that give the mean open and closed times of τo = 1/β and τc = 1/α. If there are two independent channels in the patch, the model could be formulated as follows :
C represents both channels closed, O1 one channel open, and O2 both channels open. Then, the lifetimes of C, O1 and O2 (designated as τc, τo1 and τo2) are 1/2α, 1/(α+β), 1/2β, respectively. This indicates that the lifetimes of O1 and O2 for two independent channels should be smaller than O in a one channel patch (Scheme 1) due to the multiple channel openings. This prediction is opposite to our observations.
We further tested this conclusion with simulations. We simulated currents assuming α = 250 s-1, and β = 400 s-1 in Scheme 1. The theoretical lifetimes of the closed and open states are 4 and 2.5 ms, respectively. We simulated the currents with one, two, and three independent channels and calculated the mean lifetime of each level (program MIL, http://www.qub.buffalo.edu) (Figure 4). The mean closed and open lifetimes calculated for a single channel are 3.92 and 2.51 ms, close to theoretical values. For simulations with two independent channels, the recovered lifetimes of closed level, 1st and 2nd open level were 2.09, 1.60, and 1.28 ms respectively, for levels 1, 2 and 3, close to the theoretical values of 2.00, 1.54, and 1.25 ms. The mean open times decreased with the number of channels (Figure 4B). The simulation results for independent channels are those expected from theory, but opposite to our observations with multiple channel currents (compare Figures 3C and 4B). Although Scheme 1 is the simplest possible kinetic model, the same general behavior applies to more complicated kinetics . The dramatic increase in mean open time of channel with multiple channel patches indicates that some kinetic property is different from single-channel patches.
We did a more global test of cooperativity by directly comparing cooperative and independent models using a maximum likelihood technique. If two binary channels were active, there would be three distinct current levels. We can model this with Scheme 2 with the constraints imposed by independence (above), or Scheme 2 without any constraints on the rates. If one assumes the number of channels is known, the unconstrained version of Scheme 2 has two extra parameters. If the unconstrained version of Scheme 2 is more likely to explain the data than the constrained one, the cooperative model is more likely.
We fit several data sets with the two models using the maximum interval likelihood program MIL http://www.qub.buffalo.edu, and in all cases the likelihood ratio of the cooperative/independent model was >140, far in excess of the amount expected for the extra degrees of freedom. This strongly favors the cooperative model. In other words, the likelihood of observing multiple level events occurring so close in time is unlikely to occur with independent channels.
Open channel noise of currents is reduced in the patches containing multiple channels
We have observed an interesting phenomenon that relates to channels having different properties. When there is more than one channel in a patch, as expected, the open channel noise is higher than in single-channel patches. However, the open channel noise of each level in multiple channel currents is the same (c.f., Figure 1 and Figure 3D)! The relative open channel noise (σex,n/i, where i is the amplitude of a single channel) at the 1st and the 2nd level is 0.29 ± 0.01 and 0.30 ± 0.04 (n = 4) (Figure 3D), the 3rd open level has a similar value in multiple-channel patches (see Figure 1), while in the single channel patch, it is ~0.67 ± 0.01 (n = 6) (Figure 3D and Table 1). The differences in relative fluctuations may be the consequence of faster closing rates in single channel currents than in multiple channel currents, so that some short events are missed and end up being classed as open channel noise .
The increase in open channel noise of single channel currents relative to multiple channel currents with equivalent mean conductances at the same bandwidth suggests the basic channel permeability properties are comparable. Apparently the interaction of the channels affects not only the main-state gating rates, but the substate transition rates that create the open channel noise.
ATP does not affect open channel noise
In some ligand-gated ion channels, such as ACh receptors, the agonist not only activates the receptors, but also blocks the pore as well [25, 26]. In order to test if ATP blocks the P2X2 receptors and affects open channel noise, we recorded single channel currents activated by different concentrations of ATP. Figure 5 shows the currents recorded from a single channel patch activated by different ATP concentrations and the corresponding amplitude histograms. The currents activated by different ATP concentrations have a similar mean amplitude i of ~3.5 pA and σex of 65~70% (from the all-points histograms, see parameters in Table 1). Therefore, there is no indication that ATP blocks the channel or influences the open channel noise. This is consistent with the idea that ATP, a strongly charged anion, would be excluded from a pore selective for monovalent cations [7, 18].
Our results demonstrate a clear discrepancy between the currents recorded from a single channel and those from multiple channel patches. Analysis of open channel lifetimes, open channel noise, and gating kinetics suggest that P2X2 receptors have non-independent gating behavior when multiple-channel exist in same patch, and P2X2 kinetics vary with the number of active channels, favoring positive cooperativity toward opening.
While we found some discrepancies in the binomial distribution of occupancy, the deviations vary from patch to patch and are not convincing. The equilibrium binomial distribution is relatively insensitive to deviations since there is no time information . Yeramian et al  have presented kinetic models that have a binomial amplitude distribution but correlated lifetimes.
The open channel lifetimes estimated for multiple channel currents are longer than those expected from single channel currents (Figure 3C), a trend opposite to that expected from independent channels (Figure 4B). The observed increase in open lifetime in multiple channel patches suggests the effects of interaction may primarily be on the closing rate. Therefore, the p o of multiple channel currents may larger than that of single channel currents. The channel closing rate may be dependent on the conductance state of neighboring channels via ionic fluxes or by direct interactions.
The open channel noise of multiple channel currents is smaller than single channel currents, adding to the collection of properties altered by interactions (Figure 3D). It is not clear whether the differences in open channel noise arise from direct interactions between the channels or possibly differences in the membrane surrounding the channels, a phase separation. Based on our earlier studies of open channel noise , it doesn't appear that the reduction in noise is a result of accumulation (or depletion) of ions due to ionic fluxes. The excess noise of a single channel current is independent of ATP concentration suggesting that ATP itself does not cause extra noise, and that local ionic depletion and accumulation are not the origin of the effect (Figure 5 and Table 1).
Faster gating kinetics might increase the apparent open channel noise of single channel currents (Figure 3A and 3B) due to the limited bandwidth that turns missed events into excess noise. This is confirmed by our simulated data with the different closing rates, but the same opening rates. At the same bandwidth, faster closing rates, i.e., shorter open lifetimes, can increase open noise and attenuate the mean amplitude (simulated data not shown). Similarly, with the same open and closing rates, the open channel noise and the amplitude decrease with the decreasing bandwidth.
The large open channel noise for the P2X2 receptors arises from conformational changes, not channel block . For currents from single channel patches, the ratio of open channel noise to the mean amplitude can be > 65 % (Figures 3D and 5, Table 1). The noise level is similar to that observed in the cyclic nucleotide gated channels , but is much higher than most other voltage and ligand gated channels. The "noise" may contain several subconductance states; however, a higher bandwidth/lower noise recording system is needed to resolve them. For simplicity we therefore assumed that there is only one (noisy) open state and the noise level correlates with the number of active channels.
Channel interactions might occur if the local density of channels places them in contact. It has been suggested that sodium channels form dimers or trimers [29, 30]. From the strong cooperativity of Ca2+ channels, it has been proposed  that Ca2+ channels may also aggregate into clusters. For a steric interaction between nearest neighbors, the stoichiometry would seem to be limited to a factor of 4–5. While "cross-talk" between P2X and nicotinic receptors has recently been shown [17, 32, 33] our results indicate that P2X2 receptors themselves are not independent, but positively cooperative. Given the extensive expression of P2X receptors throughout the nervous system, direct channel-channel interaction may affect neuronal function. Cooperativity is one of the basic properties that characterize long term potentiation in a neuron . The positive interaction of P2X receptors may serve to steepen the synaptic response in much the same manner as having multiple ligand binding sites.
Materials and Methods
P2X2 receptors were expressed in Xenopus oocytes by mRNA injection . In order to obtain outside-out patches with a single channel from Xenopus oocytes, we decreased expression by reducing the amount of mRNA from 50 ng to 25 ng, lowering the incubation temperature from 17 to 14°C, and shortening the incubation time to 16 hours.
For electrophysiological experiments, Xenopus oocytes were cultured in the medium (ND96) contained (in mM): NaCl 96, KCl 2, MgCl2 1, CaCl2 1.8, HEPES 5, and was titrated to pH 7.5 with NaOH and sterilized by filtration. All chemicals were purchased from Sigma Chemical Co. (St. Louis, MO).
Patch clamp recordings were made from Xenopus oocytes 16 hr after injecting mRNA at room temperature . Recording pipettes were pulled from borosilicate glass (World Precision Instruments, Sarasota, FL), coated with Sylgard, and had resistances of about 10 MΩ.
The pipette solution for recording from Xenopus oocytes contained (in mM): 90 NaF, 5 NaCl, 11 EGTA, 10 HEPES at pH 7.4. The bath and control perfusion solutions were the same and contained (in mM): 100 NaCl, 2 KCl, 1 MgCl2, 1 CaCl2, 11 glucose, 10 HEPES at pH 7.4. The patch perfusion solutions were the same as the bath solutions, except for modified divalent and ATP concentrations as indicated for particular experiments. The perfusate was driven by an ALA BPS-4 perfusion system (ALA Scientific Instruments, NY).
Currents were recorded with an AXOPATCH 200B patch clamp amplifier (Axon Instruments, Inc., CA), and stored on videotape using a VR-10A digital data recorder (Instrutech Corp., NY). The data were low-pass filtered at 5–20 kHz bandwidth (-3dB) and digitized at sampling intervals of 0.025–0.1 ms using a LabView data acquisition program (National Instruments™, Austin, TX).
Single channel amplitudes and open channel noise
The mean amplitudes of single channel currents were determined by all-points amplitude histograms that were fit to a sum of multiple Gaussian distributions. The number of components depended on the number of active channels. Due to the random nature of noise, the variance of independent channels and background noise will add. Thus the variance of total noise of nth open level, σ2o,n, which is the variance of nth open level of current (measured from amplitude histograms), is the summation of variances of the open channels and the background noise. Therefore, the general equation for calculating the excess open channel noise of the nth open level, σex,n, is:
σex,n = (σ2o,n - σ2ex,n-1 - ... σ2ex,i - ... σ2ex,1 - σ2c)1/2 (1)
σ2o,n is the variance of noise of nth open level of current from histograms, σ2ex,i the variance of open channel noise at ith level, and σ2c the variance of the closed level, etc. In particular, for patches containing two open channels, the open channel noise for the 1st and 2nd open levels are:
σex,1 = (σ2o,1 - σ2c)1/2 (2)
σex,2 = (σ2o,2 - σ2ex,1 - σ2c)1/2 (3)
The probability of the channel being open, po
For the currents from patches containing a single channel, the probability of being open, po, was defined from the amplitude histogram as the ratio of the area from open channels (Ao) to the total area (Ao + Ac):
For the currents from patches containing multiple channels, the probability of being open simultaneously of the ith channel, po,i, was similarly defined as the ratio of area of ith level (Ao,i) to the total area (Atotal), which is the summation of closed and open peak areas in histogram:
This calculation is insensitive to short events. In our initial analysis, we treated the channel as having two amplitude classes, open and closed. All rapid gating events associated with the open channel were treated as noise. Essentially we defined open as 'not closed'.
Binomial distribution test
If there are N identical channels in the patch, each with a probability p o of being open, and if the channels act independently, the probability of k channels being in the open state simultaneously is given by the binomial distribution:
p o can be estimated from the single-channel dose-response curve (Fig. 2B). We compared P(k) binomial with P(K) exp obtained from amplitude histograms of experimental data. A significant deviation of P(k) exp from P(k) binomial suggests either non-independence or nonidentical channels. Since the binomial analysis contains no kinetic information, different kinetic behaviors can produce the same distribution.
Mean open channel lifetime and simulation
The mean open lifetimes at each level were obtained from idealized currents using a recursive Viterbi algorithm known as the 'segmental k-means' (SKM) algorithm in QUB suite http://www.qub.buffalo.edu. In this method, the mean open lifetime is the average of all individual events at the same level. We used the program 'Simu' in QUB to simulate single channel currents.
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We would like to thank Drs. David Julius and Tony Brake (University of California, San Francisco) for providing P2X2 DNA. We thank Dr. Richard Horn for his insightful discussion. This work was supported by the NIH.
SD carried out all experimental work and drafted the manuscript. FS conceived of the study. All authors read and approved the final manuscript.