Cyclic AMP is a ubiquitous second messenger that coordinates diverse cellular functions. Current methods for measuring cAMP lack both temporal and spatial resolution, leading to the pervasive notion that, unlike Ca2+, cAMP signals are simple and contain little information. Here we show the development of adenovirus-expressed cyclic nucleotide–gated channels as sensors for cAMP. Homomultimeric channels composed of the olfactory α subunit responded rapidly to jumps in cAMP concentration, and their cAMP sensitivity was measured to calibrate the sensor for intracellular measurements. We used these channels to detect cAMP, produced by either heterologously expressed or endogenous adenylyl cyclase, in both single cells and cell populations. After forskolin stimulation, the endogenous adenylyl cyclase in C6-2B glioma cells produced high concentrations of cAMP near the channels, yet the global cAMP concentration remained low. We found that rapid exchange of the bulk cytoplasm in whole-cell patch clamp experiments did not prevent the buildup of significant levels of cAMP near the channels in human embryonic kidney 293 (HEK-293) cells expressing an exogenous adenylyl cyclase. These results can be explained quantitatively by a cell compartment model in which cyclic nucleotide–gated channels colocalize with adenylyl cyclase in microdomains, and diffusion of cAMP between these domains and the bulk cytosol is significantly hindered. In agreement with the model, we measured a slow rate of cAMP diffusion from the whole-cell patch pipette to the channels (90% exchange in 194 s, compared with 22–56 s for substances that monitor exchange with the cytosol). Without a microdomain and restricted diffusional access to the cytosol, we are unable to account for all of the results. It is worth noting that in models of unrestricted diffusion, even in extreme proximity to adenylyl cyclase, cAMP does not reach high enough concentrations to substantially activate PKA or cyclic nucleotide–gated channels, unless the entire cell fills with cAMP. Thus, the microdomains should facilitate rapid and efficient activation of both PKA and cyclic nucleotide–gated channels, and allow for local feedback control of adenylyl cyclase. Localized cAMP signals should also facilitate the differential regulation of cellular targets.
The second messenger cyclic AMP (cAMP) regulates a large variety of cellular processes including Ca2+ influx (Tsien 1983; Trautwein and Hescheler 1990; Frings et al. 1995; Finn et al. 1996), cellular excitability (Levitan 1994; Gray et al. 1998), and gene expression (Montminy 1997), yet little is known about the spatial and temporal features of cAMP signals. The highest resolution method for measuring cAMP in single cells relies on fluorescence resonance energy transfer between labeled subunits of cAMP-dependent protein kinase (PKA) (Adams et al. 1991; Zaccolo et al. 2000). This ingenious method allows the detection of changes in cAMP throughout the cytosol. However, the reassociation of labeled PKA subunits is slow, due in part to the redistribution of labeled catalytic subunits into different cellular compartments (Harootunian et al. 1993). Furthermore, the method cannot measure localized changes in cAMP. Rather than modify this method, we chose a novel approach, measuring cAMP-induced currents through heterologously expressed rat olfactory cyclic nucleotide–gated (oCNG) channels (Dhallan et al. 1990).
The endogenous cyclic nucleotide–gated channels in retinal rods have been used as a high-resolution monitor of cGMP signaling. These measurements have led to quantitative descriptions of the single photon response (Baylor et al. 1979), the cGMP concentration responsible for the dark current (Nakatani and Yau 1988), and the characterization of the interplay between guanylyl cyclase and cGMP-specific phosphodiesterase (PDE) in regulating cGMP levels (Koutalos et al. 1995b,Koutalos et al. 1995c). These channels have also been used in conjunction with optical methods to measure the reduction in the diffusion coefficient for cGMP due to baffling by the disks and buffering of cGMP (Lamb et al. 1981; Cameron and Pugh 1990; Olson and Pugh 1993; Koutalos et al. 1995a,Koutalos et al. 1995d; Gray-Keller et al. 1999). Overall, these studies have complemented and extended biochemical studies of phototransduction and, as such, have allowed an unprecedented view of feedback control within a second messenger signaling pathway (Stryer 1991; Lagnado and Baylor 1992; Pugh and Lamb 1993; Yarfitz and Hurley 1994; Yau 1994; Polans et al. 1996; Pugh et al. 1997; Molday 1998).
Studies using endogenous cyclic nucleotide–gated channels have been limited to only a few other cell types, including olfactory receptors (Detlev and Restrepo 1998; Gold 1999), and neurons of the marine opisthobranch snail, Pleurobranchaea californica (Sudlow and Gillette 1997). In many cases, findings in such highly specialized cell types are not easily extended to cells with different signaling molecules and diverse feedback mechanisms. For example, nine isoforms of adenylyl cyclase (AC) are differentially regulated by a variety of cellular signaling molecules, including G proteins, Ca2+, PKA, PKC, and CaM kinase (Smit and Iyengar 1998). Similarly, the isoforms of phosphodiesterase are differentially regulated by intracellular signals (Beavo 1995). Thus, to understand the diversity of cAMP signaling, a generally applicable method to measure cAMP concentrations is required.
Recently, cyclic nucleotide–gated channels have been artificially introduced into other cell types using the “patch-cramming” technique (Trivedi and Kramer 1998). This technique uses excised, inside-out macropatches containing channels “crammed” into recipient cells to measure cytosolic cyclic nucleotide concentrations near the tip of the pipette. As such, this method is well-suited to study cyclic nucleotides produced within the cytosol (e.g., by soluble guanylyl cyclase) of large cells. In contrast, we have incorporated oCNG channels in the surface membrane where AC is known to reside (Krupinski et al. 1989). This method is ideally suited to studying the membrane-localized, cAMP-signaling pathways. Further, we used adenovirus constructs encoding the oCNG channel to allow expression in a variety of cell types. Surprisingly, using this approach, we discovered that oCNG channels and AC colocalize within regions of restricted cAMP diffusion.
Materials And Methods
Cell Culture and Expression
Both human embryonic kidney 293 (HEK-293) cells and HEK-293 cells stably expressing type 8 AC (HEK-AC8) were maintained in 10 ml of MEM (Life Technologies) with 10% vol/vol fetal bovine serum (Gemini) and 0.1 mg/ml G418, and grown in 75 cm2 flasks at 37°C in a humidified atmosphere of 95% air/5% CO2. Cells were plated at ∼60% confluence in 100-mm culture dishes for infection with the oCNG channel-encoding adenovirus construct (Fagan et al. 1999; multiplicity of infection = 10). 2 h after infection, hydroxyurea was added to the cell media at 2 mM final concentration to inhibit viral replication. C6-2B cells were maintained as described previously (Fagan et al. 1999). HEK-AC8 (24 h after infection) and C6-2B cells (48–72 h after infection) were detached with phosphate-buffered saline containing 0.03% EDTA, resuspended in serum-containing media, and assayed within 12 h.
Recordings were made at room temperature (19–21°C) using an Axopatch-200A patch-clamp amplifier (Axon Instruments, Inc.) and whole-cell, perforated patch, and excised patch techniques. Pipettes were pulled from borosilicate glass and heat polished. Pipettes were lowered onto the cells and gigaohm seals were formed (8.3 ± 3.3 GΩ). Pipette resistance was limited to 5 MΩ and averaged 3.4 ± 1.0 MΩ. Current records were typically sampled at five times the filter setting and stored on an IBM compatible computer. Records were corrected for errors due to series resistance. Unless otherwise noted, all data are presented as mean ± SD. The solution within the chamber (100 μl) was changed within 15 s using a gravity-driven perfusion system.
Whole-cell and perforated patch configurations.
After achieving whole-cell or perforated patch configuration, capacitive transients were elicited by applying 20-mV steps from the holding potential and recorded at 40 kHz (filtered at 10 kHz) for calculation of access resistance. In the whole-cell configuration, the access resistance averaged 6.6 ± 3.1 MΩ. No significant difference in access resistance was observed in whole-cell experiments performed under different experimental conditions. Access resistance was monitored throughout the experiments to ensure stable electrical access was maintained. The solutions used for all of the experiments are listed in Table. Whole-cell pipette solution 1 (Table) was used as the control solution for all whole-cell experiments. In the perforated patch configuration, pipette solutions (perforated patch 1 and 2, Table) contained nystatin (diluted from 50 mg/ml stock in dimethylsulfoxide) to gain electrical access to the cell. These solutions were kept on ice and shielded from light until use. A steady access resistance (15–60 MΩ) was obtained 5–15 min after seal formation. Nystatin did not induce measurable currents up to 20 min after break-in in whole-cell experiments. Voltage protocols were selected to minimize endogenous currents.
Excised, inside-out patch configuration.
Excised patch solution (Table) was used in both the pipette and bath. Cyclic AMP was added to the bath solution in concentrations between 1 and 1,000 μM. cAMP-induced currents were obtained from the difference between currents in the presence and absence of cAMP.
Photolysis of NPE-cAMP
The response of oCNG channels to flash photolysis of NPE-cAMP was measured in the whole-cell patch-clamp configuration. The pipette filling solution (whole-cell pipette 2 or 3, Table) was kept on ice and shielded from light until use. After achieving whole-cell configuration, we waited 10 min before photolysis of NPE-cAMP. Photolysis of NPE-cAMP was achieved by direct flash (1 ms) of the entire bath with an XF-10 xenon flashlamp (HI-TECH Scientific). The DMSO used to dissolve NPE-cAMP and nystatin (≤0.5% final concentration) had no effect on channels in excised patches.
Determination of Total cAMP in C6-2B Cells
C6-2B cells were suspended in low-Mg bath 1 solution (Table) for 10 min at 20°C. cAMP accumulation was initiated by addition of forskolin or vehicle for 2.5 min and terminated by addition of trichloroacetic acid (9% wt/vol). The total intracellular levels of cAMP were measured by a cAMP binding assay (Amersham Pharmacia Biotech) as previously described (Boyajian et al. 1991). The sample cAMP content was calculated from a standard curve. Cellular concentration was estimated assuming that the accessible cell volume was the aqueous volume fraction (0.9) of the total cell volume. The total cell volume was measured by (a) counting the number of cells in a fixed volume, (b) pelleting a known number of cells, and (c) measuring the packed volume of the pellet. The cells were approximately spherical in suspension, yielding a mean radius of 8.4 μm. The results represent mean ± SEM performed in triplicate.
Measurement of Ca2+
Intracellular [Ca2+] was measured in cell populations using fura-2 as the Ca2+ indicator, as previously described (Boyajian et al. 1991; Fagan et al. 1999). Free Ca2+ concentrations were estimated using [Ca2+] = Kd × f × (R − Rmin)/(Rmax − Rmin), where Kd, R, Rmin, Rmax, and f have their usual meanings.
Forskolin was from Calbiochem. Fura-2/AM, Pluronic F-127, and NPE-cAMP were from Molecular Probes. All other chemicals were from Sigma-Aldrich.
Cyclic nucleotide–gated channels have the following properties that led us to investigate their utility as cAMP sensors. First, oCNG channels can be expressed easily in a variety of cell types using a recently described adenovirus construct encoding the α subunit (Fagan et al. 1999). Second, several hundred channels provide a readily detectable readout of cAMP concentration without significantly buffering the cAMP signal being measured. Third, cyclic nucleotide–gated channels respond rapidly to changes in cyclic nucleotide concentration (Karpen et al. 1988; Hagen et al. 1996). Fourth, the sensor can be calibrated in different cell types by measuring the apparent cAMP affinity in excised membrane patches. This controls for the possible modulation of oCNG channels by endogenous proteins.
Response of oCNG Channels to Jumps in cAMP
The response times of homomultimeric oCNG channels to changes in cAMP have not been established. We examined the ionic currents induced by perturbations in cellular cAMP levels generated by photolysis of a “caged” cAMP analogue, NPE-cAMP. oCNG channels were expressed in the HEK-AC8 cell line and currents were monitored using the whole-cell patch-clamp technique. The pipette solution (whole-cell pipette 2, Table) contained 200 μM NPE-cAMP and 20 μM cAMP to verify that there was channel activity, and to prime the channels to give a larger flash response. The bath solution initially contained 0.1 mM MgCl2 (low-Mg bath 1, Table) to allow measurement of inward current through oCNG channels at a membrane potential of −50 mV. After a 1-ms flash, there was a brief delay, 14.8 ± 4.1 ms (n = 4), followed by an exponential increase in current, τ = 212 ± 53 ms (Fig. 1 A). This current was subsequently blocked by 10 mM MgCl2 (high-Mg bath 1, Table) and, in the continued presence of 10 mM MgCl2, repeated photolysis of NPE-cAMP did not induce a detectable inward current (Fig. 1 A). When the external MgCl2 concentration was returned to 0.1 mM, current through oCNG channels was no longer blocked and could again be induced by photolysis of NPE-cAMP. No currents were induced by the photolysis of NPE-cAMP when 1 mM cAMP (a supersaturating concentration) was added to the pipette solution (whole-cell pipette 3, Table) or in control cells not infected with the oCNG-encoding adenovirus construct (Fig. 1 B). The kinetics of the cAMP-induced current were similar to the photolysis rate of NPE-cAMP (∼4 s−1 at pH = 7.4), indicating that the photolysis rate of NPE-cAMP was the rate-limiting step in the response (Wootton and Trentham 1989; Lowe and Gold 1993) and confirming that oCNG channels can indeed detect rapid changes in cAMP concentration.
Calibration of the Sensor
We determined the apparent cAMP affinity of oCNG channels in excised, inside-out patches from HEK-AC8 cells. After patch excision, currents were elicited by applying solutions containing between 0 and 1,000 μM cAMP at membrane potentials (Vm) of +50 and −50 mV. In excised patches expressing oCNG channels, increasing cAMP concentration induced larger currents until a saturating cAMP concentration was reached (Fig. 2 A). No cAMP-inducible current was observed in control cells. The sensitivity of oCNG channels to cAMP (Fig. 2 B) was quantified using the Hill equation (Fig. 2, legend), yielding an average apparent affinity (K1/2) and Hill coefficient (N) of 40 ± 13 μM and 2.1 ± 0.2 (measured at −50 mV, n = 23), similar to previously reported values for channels expressed in HEK-293 cells (Liu et al. 1994). These parameters were insensitive to changes in membrane potential (at +50 mV, K1/2 = 41 ± 15 μM, N = 2.2 ± 0.3, in the same 23 patches). To determine whether either the apparent affinity or Hill coefficient were modified as a result of patch excision, patches were excised directly into solutions containing a subsaturating cAMP concentration (Fig. 2 C). Upon patch excision, average current levels did not change over 30 min (n = 4). A further verification of the calibration in the whole-cell setting is presented later. These results demonstrate that, given the maximal current, the cAMP concentration can be readily calculated from measured currents and that the uncertainty in the cAMP concentrations can be estimated by the variability of the apparent affinity and the Hill coefficient. For example, if the fraction of maximal current (I/Imax) were found to be 0.6, the estimated cAMP concentration would be 49 ± 14 μM (Fig. 2 B). The concentrations that can be measured reliably using the wild-type channel are 10–100 μM.
Single Cell Measurement of cAMP Using oCNG Channels
To determine whether heterologously expressed oCNG channels could detect cAMP in single cells, we chose to first examine cAMP accumulation in the HEK-AC8 cell line. Adenylyl cyclase activity was stimulated with 50 μM forskolin (added to low-Mg bath 1 solution, Table) and the subsequent activation of oCNG channels was monitored using the perforated patch technique (Horn and Marty 1988; Zhou and Neher 1993). In this configuration, the pore-forming antibiotic nystatin is included in the pipette solution to gain electrical access to the cell's interior, but divalent cations and larger molecules like cAMP are retained in the cell. The pipette solution (perforated patch 1, Table) also contained supersaturating cAMP (1 mM) to measure the maximal current at the end of each experiment after rupture of the patch membrane (whole-cell configuration). After stimulation with forskolin, there was a brief delay followed by a steady increase in current that plateaued in ∼150 s (Fig. 3 A). In the presence of 0.1 mM external MgCl2, the forskolin-induced current displayed little rectification. Subsequent addition of 10 mM MgCl2 rapidly blocked the current, yielding a small outwardly rectifying current and confirming that this current was through oCNG channels (Fig. 3 B). The magnitude of the plateau current relative to the maximal current indicates that 55 ± 13 μM (n = 5) cAMP was produced (Fig. 3 C). The plateau likely reflects a balance between cAMP production, diffusion, degradation, and perhaps binding to proteins and extrusion. No forskolin-induced increase in current was observed in cells not expressing oCNG channels. Further, forskolin did not induce currents in excised patches containing oCNG channels (data not shown), indicating that forskolin is not an agonist of these channels.
To ensure that the high cAMP concentration measured by the channel was not due to the heterologous expression of AC in the HEK-AC8 cell line, we also examined the generation of cAMP by the endogenous type 6 AC in C6-2B glioma cells (Debernardi et al. 1993). Upon stimulation with 50 μM forskolin, there was a delay followed by a steady increase in current (Fig. 3 D). This current was subsequently blocked by 10 mM external MgCl2. The ratio of the maximal forskolin-induced current to the maximal oCNG current indicates that the channel detected 42 ± 11 μM cAMP (n = 3, Fig. 3 E).
This concentration is far higher than the low micromolar levels of cAMP measured under the same stimulus conditions in single C6-2B cells using fluorescently labeled PKA subunits (DeBernardi and Brooker 1996, DeBernardi and Brooker 1998). Low cAMP levels have also been observed in single BC3H1 cells, in response to 50 μM forskolin (Adams et al. 1991). These results using the fluorescently labeled PKA method were consistent with earlier measures of cAMP in population assays in C6-2B and WI-38 cells (Barber and Butcher 1980; Barovsky et al. 1983). To verify that our C6-2B cells were behaving normally, we measured total cellular cAMP using a binding assay (Fig. 3 F). When stimulated by 50 μM forskolin for 150 s, the total cAMP levels reached ∼4 μM, averaged over the cytosolic volume. It is important to note that this is very likely to be an overestimate of free cytosolic cAMP for two reasons: the measurement includes both free and bound cAMP, and it includes cAMP from all cellular compartments (including the diffusionally restricted microdomain). Further evidence that this assay overestimates free cAMP is that the measured basal level (2 μM) would saturate endogenous PKA activity, which is inconsistent with several studies in these same cells (Allen et al. 1998; Tian et al. 1998a,Tian et al. 1998b). Importantly, all of the above measures are significantly less than the ∼25 μM detected by the channels at 150 s. Thus, the local cAMP concentration detected by oCNG channels was much higher (likely >12-fold) than the average cytosolic concentration. This suggests that oCNG channels colocalize with AC and that diffusion away from this region is hindered.
cAMP Accumulates Despite Rapid Dialysis of the Bulk Cytosol
If cAMP is generated in diffusionally limited microdomains, then forskolin-induced cAMP accumulation should be detectable in the whole-cell configuration in which there is rapid exchange of the bulk cytoplasm (with whole-cell pipette solution 4, Table). We tested this prediction using HEK-AC8 cells expressing oCNG channels. After stimulation of AC with 50 μM forskolin, a steady rise to substantial current levels was observed in five of nine cells (Fig. 4 A), consistent with expression in 70% of cells (Fagan et al. 1999). This current was rapidly blocked by 10 mM MgCl2 (Fig. 4 B). No forskolin-induced currents were observed in uninfected cells. We determined that the time needed to exchange the bulk cytoplasm was ≤56 s (see below), yet the forskolin-induced currents increased for several minutes at rates similar to those observed in cells studied in the nondialyzed perforated patch configuration. This finding strongly argues that cAMP diffusion from microdomains into the bulk cytosol is impeded. In the next two sections, we show quantitatively that (a) the results cannot be explained if cAMP diffuses freely throughout the cell, and (b) the results can be explained by cell compartment models in which there is a barrier to cAMP diffusion between the microdomains and the bulk cytosol. These models are supported further by experiments in which the flux of cAMP is measured from the whole-cell pipette to the channels.
Free Diffusion of cAMP from Adenylyl Cyclase
In this section, we show that, with no diffusion restriction, cAMP concentrations right next to AC are not high enough to substantially activate PKA, let alone oCNG channels. Let us consider the local concentration of cAMP near AC. The diffusion equation for constant diffusion coefficient D is written as (Fick 1855):
where C is the concentration of cAMP. If we approximate the AC molecule as a point source on an impermeable plane, can be solved analytically, yielding (Purves 1977; Carslaw and Jaeger 1959; Crank 1975):
where kcat is the turnover number, x is the distance from the catalytic site of AC, and t is time. Given that the radius of HEK-AC8 cells is ∼10 μm and that we are estimating cAMP concentrations 10 nm (within molecular dimensions) from AC, this geometric approximation is valid. For the simulation, we assumed a diffusion coefficient for cAMP in cytoplasm of 3 × 10−6 cm2/s (Lowe and Gold 1993; Chen et al. 1999) and a kcat of 59 s−1 (Dessauer and Gilman 1997). Strictly speaking, the value of 59 s−1 is the slowest forward first-order rate constant of the model proposed by Dessauer and Gilman 1997, and therefore represents an upper limit for kcat. In fact, a kcat of 12 s−1 has been measured for a soluble AC construct (Dessauer and Gilman 1996). Using , the maximal cAMP concentration 10 nm from AC is 5.2 nM (Fig. 5A and Fig. C). This is considerably lower than the concentration of cAMP required to half-maximally activate either oCNG channels or PKA (Fig. 5 A), clearly demonstrating that, by itself, colocalization of oCNG channels and AC cannot explain the data we have presented.
It is useful to compare this low cAMP concentration with the high concentration of Ca2+ reached near the mouth of a Ca2+ channel (Fig. 5 B, see legend for details). The high steady state Ca2+ concentration near the channel (88 μM at 5 nm) is similar to previous estimates of local Ca2+ concentration (Naraghi and Neher 1997), and is due to the high Ca2+ throughput of these channels (5 × 105 s−1 for Ca2+ channels vs. 59 s−1 for AC). In contrast, the slow synthesis rate of cAMP dictates that concentrations of cAMP cannot reach such levels without a diffusional barrier.
With no restriction on diffusion, the steady state cAMP concentration near AC is reached rapidly (within 2 ms, Fig. 5 C). This is much faster than the time course we observed (∼150 s, see Fig. 3). The solution in the experimental chamber was exchanged in ∼15 s and forskolin activation of AC occurs within 8 s (Frace et al. 1993). Thus, the time course of cAMP accumulation is likely due to filling of a compartment within the cell.
Cell Compartment Models
Fig. 6 shows a simple compartment model of the cell and whole-cell patch pipette. The cell contains two compartments: a microdomain (compartment 1) in which AC produces cAMP, and the bulk cytosol (compartment 2). The pipette is represented by compartment 3. In simulating the flux of cAMP between the compartments, we have made the following assumptions: (a) diffusion between compartments is restricted by a barrier, and (b) diffusion within each compartment is much more rapid than diffusion between compartments. Thus, the concentration in each compartment is considered to be uniform (rapidly equilibrated) at all times. The second assumption is justified, based on how rapidly cAMP would diffuse without restriction across the entire cell. Using the equation for diffusion in three dimensions: 〈x 2〉 = 6Dt, cAMP can diffuse across a C6-2B cell (x = 16.8 μm) in 160 ms. This is considerably faster than the exchange times between cellular compartments (see below).
where V1, V2, and V3 are the volumes of each compartment, C1, C2, and C3 are the concentrations in each compartment, and J12 and J23 are flux coefficients between compartments 1 and 2, and compartments 2 and 3, respectively.
Before using this model to simulate the accumulation of cAMP synthesized by AC, we sought to experimentally determine the rates of transfer of material between the compartments in HEK-293 cells. To estimate the rate of transfer between the pipette and the bulk cytosol (compartments 3 and 2), we first measured the reduction in endogenous, voltage-gated K+ currents in response to the wash-in of a solution containing high NaCl and low KCl (whole-cell pipette 5, Table). After break-in, currents were measured every 2 s in response to 40-ms pulses to +60 mV from a holding potential of −80 mV (Fig. 7). This protocol allowed us to monitor the endogenous K+ currents without rundown. When the pipette solution contained high NaCl, the amplitude of the outward current decreased rapidly (90% in 22 ± 4 s, n = 4). To ensure that the results were not affected significantly by Na+ block of the K+ currents, we also examined tail currents at −40 mV and obtained a similar time course. No reduction of current was observed when the pipette solution contained high KCl (whole-cell pipette 1, Table). To estimate the rate of transfer of cAMP based on these results, we scaled the wash-in time by the ratio of diffusion coefficients for Na+ and cAMP (3.5; Pusch and Neher 1988), yielding a 90% exchange time of 77 s.
To estimate the rate of transfer of cAMP between the cytosol and the microdomain (compartments 2 and 1), we measured the development of currents through oCNG channels in response to the wash-in of 40 μM or 1 mM cAMP from the patch pipette. These experiments were done with high concentrations of two PDE inhibitors in both the bath (low-Mg bath 2, Table) and the pipette (whole-cell pipette 6 or 7) solutions. The cells were exposed to the bath solution containing PDE inhibitors for >6 min before break in. As before, currents through oCNG channels were verified by Mg2+ block (high-Mg bath 2 solution, Table). Fig. 8 A shows that, after break in with 40 μM cAMP (a half-saturating concentration) in the pipette, a current developed slowly (90% complete in 194 ± 62 s, n = 5). This time course was considerably slower than the exchange of the bulk cytosol, and thus represents another clear demonstration of the diffusional barrier between the cytosol and the microdomain. The time course with 1 mM cAMP in the pipette was much faster (90% complete in 38 ± 16 s, n = 7), consistent with this being a supersaturating concentration and high concentrations reaching the channel well before exchange was complete (Fig. 8 B). This result also indicates that cAMP buffering is not the primary restriction on diffusion.
Interestingly, when 0.5 μM pCPT-cGMP (8-p-chlorophenylthio-cGMP) was included in the pipette solution (whole-cell pipette 8, Table), the 90% response time of oCNG channels was 38 ± 18 s, n = 10 (Fig. 8 C). This concentration of pCPT-cGMP is 4.5× greater than K1/2 (∼110 nM), and thus the 90% response time we measured was faster than would be expected at lower pCPT-cGMP concentrations. When this was taken into account, the 90% response time was calculated to be 56 s. The membrane-permeant pCPT-cGMP was apparently able to traverse the barrier between the cytosol and the microdomain more rapidly than cAMP (56 vs. 194 s). Thus, the 56-s wash-in time of pCPT-cGMP can be considered an upper limit for the 90% exchange time between the whole-cell pipette and the bulk cytosol, and was used to constrain J 23. The wash-in times for Na+ and pCPT-cGMP are consistent with those measured in a previous study of chromaffin cells (Pusch and Neher 1988) and indicate that dialysis of the bulk cytosol is indeed rapid.
We now show that the cell compartment model in Fig. 6 can describe the transfer of cAMP between compartments, the high local and low cytosolic cAMP following AC activation, and the accumulation of cAMP despite rapid dialysis of the cytosol. We used a cytosolic volume of 2.5 pl (based on a cell radius of 8.4 μm), and assumed the volume of the microdomain is 0.04 pl (<2% of the cell volume). Values for the flux coefficients J12 and J 23 of 8.0 × 10−16 liters/s and 9.0 × 10−14 liters/s allowed us to describe the exchange of the bulk cytosol and the wash-in of 40 μM cAMP (for the latter, compare Fig. 9 A and 8 A). The 40 μM cAMP time course is dominated by the slow exchange between the cytosol and microdomain, but the finite exchange time between the pipette and cytosol, and the nonlinear response of oCNG channels to cAMP, contribute to the sigmoidal shape. Using the same parameters, we are able to describe the wash-in of 1 mM cAMP (Fig. 9 B). Assuming that there are 450 ACs (each with a kcat of 59 s−1), we can also account for the buildup of high concentrations of cAMP in the microdomain (Fig. 9 C), the accumulation of low concentrations in the bulk cytosol (Fig. 9 C), and the negligible effect of rapid dialysis of the cytosol on the cAMP buildup within the microdomain (Fig. 9 D). We have not attempted to model the lag that is due to (a) the perfusion time (∼15 s), (b) the time it takes forskolin to cross the membrane (∼8 s; Frace et al. 1993), and (c) the detection limit of the channel. Also, we have not included PDE activity in the model. At these levels of forskolin stimulation, the PDE inhibitor 3-isobutyl-1-methylxanthine shortens the lag but does not appreciably change the maximal cAMP concentration reached (data not shown). This is because the cAMP concentration quickly exceeds the Km of PDE (∼2 μM). In the absence of the microdomain, the same AC activity would generate 5.3 μM cAMP in the cytosol in 300 s (Fig. 9 E), and only 490 nM when the cytosol is being rapidly dialyzed (Fig. 9 F). These concentrations would not appreciably activate oCNG channels. Moreover, 25,000 ACs would be required to generate ∼25 μM cAMP if the cytosol were being rapidly dialyzed. This is extremely unlikely for two reasons: (a) that number of ACs would generate almost 300 μM cAMP in an intact cell and (b) the steady state concentration would be reached too quickly (compare Fig. 4 A and 9 F). Thus, the need for microdomains is clear.
Assuming that the flux can be described by simple diffusion, the flux coefficient is related to the classically defined quantities permeability (p) and diffusion coefficient (D) by the relations J = P · A = D · A/l , where A is the cross-sectional area and l is the thickness of the barrier. The flux coefficient between the whole-cell pipette and the cytosol (J 23 = 9.0 × 10−14 liters/s) can be explained by a diffusion coefficient of 3 × 10−6 cm2/s (the cytosolic diffusion coefficient of cAMP), a barrier thickness of 1 μm, and a cross-sectional area of 0.3 μm2. The flux coefficient between the microdomain and the cytosol (J12 = 8.0 × 10−16 liters/s) can be better understood by examining the following cases. If the cross-sectional area is the entire surface area of the cell (890 μm2), and the barrier thickness is 1 μm, then J12 can be explained by an effective diffusion coefficient of 9.1 × 10−13 cm2/s. If, instead, the diffusion coefficient is 3 × 10−6 cm2/s and the barrier thickness is 1 μm, then J12 can be explained by a cross-sectional area of 2.7 × 10−3 μm2. It is likely that the barrier consists of both a reduced diffusion coefficient and a cross-sectional area smaller than the entire surface area of the cell. For example, if each one is reduced by the same factor (576), then J12 can be explained by an effective diffusion coefficient of 5.2 × 10−9 cm2/s and a cross-sectional area of 1.5 μm2. A challenge for the future is to determine the size of the microdomains and the exact nature of the permeability barriers.
The use of oCNG channels as cAMP sensors has allowed the first real-time, localized measurement of cAMP concentration in single cells. By comparing local and global measures of cAMP accumulation, we conclude that the diffusion of cAMP from the subcellular compartments where it is produced is hindered. This conclusion is reinforced by the observation that forskolin-induced cAMP production can be detected in the rapidly dialyzed, whole-cell configuration. These results are easily described by a three-compartment model (microdomain, cytosol, whole-cell pipette) in which the transfer rates between compartments were determined in independent experiments.
The Advantages of oCNG Channels as cAMP Sensors
We have demonstrated here that oCNG channels give a higher resolution view of cAMP signaling than other available methods. In this paper, we have taken advantage of several of the unique features of oCNG channels: membrane localization, accurate calibration, dynamic range, and lack of desensitization. Moreover, we found that these channels colocalize with AC in discrete regions of the surface membrane, which makes them ideal for studying cAMP signals near their point of generation. The channels also have rapid gating kinetics and, although we have not yet taken advantage of it, this feature will be very useful in studying the kinetics of AC regulation and the dynamics of cAMP signals.
Another way to use oCNG channels as cAMP sensors is to measure Ca2+ influx with optical methods. This would allow the measurement of localized cAMP signals in cells or cellular regions where electrical recording is difficult. For example, localized second messenger signaling has been identified in dendritic spines (Mons et al. 1995; Finch and Augustine 1998; Takechi et al. 1998). Ca2+ influx through homomultimeric oCNG channels has been measured previously (Frings et al. 1995). To determine whether Ca2+ permeability of the channel can be used to detect cAMP produced by AC, we examined the forskolin dose dependence of Ca2+ influx in populations of HEK-AC8 cells. In cells expressing oCNG channels, a forskolin dose-dependent increase in intracellular Ca2+ concentration was observed (Fig. 10 A). Uninfected cells showed little increase in intracellular Ca2+ concentration in response to forskolin (Fig. 10 B). These results clearly demonstrate that AC activity can be monitored using Ca2+ influx through oCNG channels.
Three-Dimensional Signaling Domains for cAMP
Previous studies have shown that elements of G protein signaling complexes localize within distinct subdomains of the surface membrane (e.g., caveolae; Huang et al. 1997; Okamoto et al. 1998). This implies a 2-D restriction on protein movement within the membrane. However, as shown above, colocalization of oCNG channels and AC is not enough to explain our data. The data suggest a 3-D barrier to cAMP diffusion in addition to a 2-D colocalization of membrane proteins. Another study has shown that cAMP is excluded from a portion of a cell by PDE activity (Jurevicius and Fischmeister 1996). However, PDEs can only lower the concentration of cAMP and therefore cannot account for the high concentrations of cAMP detected by oCNG channels. There is evidence suggesting that the endoplasmic reticulum comes in close contact with the plasma membrane (Finch and Augustine 1998; Takechi et al. 1998; Patterson et al. 1999; Ma et al. 2000). It is interesting to speculate that endoplasmic reticulum and caveolae form the barrier that hinders the diffusion of cAMP into other regions of the cell (Fig. 11).
The domains of restricted cAMP diffusion may explain our previous results, which demonstrated that local Ca2+ rises regulate AC activity, whereas global Ca2+ rises have little influence on AC activity (Fagan et al. 1998, Fagan et al. 1999). In the latter case, Ca2+ may be excluded from the microdomain, or may not reach a sufficient concentration to regulate AC. It is also likely that Ca2+ buffering mechanisms contribute to these differences. It is important to note that although buffering of Ca2+ or cAMP can slow diffusion, and thus isolate signals into subcellular compartments, buffering cannot significantly increase free concentrations of either second messenger. Overall, the physical and biochemical nature of the microdomains, and how they affect the distribution of Ca2+, remain to be determined.
Physiological Implications of Diffusionally Restricted Microdomains
The hindered diffusion of both Ca2+ and cAMP from these microdomains may play important roles in the regulation of cAMP signaling. Such regions may speed localized cAMP signaling through PKA. A-kinase anchoring proteins (AKAPs) target PKA to specific subcellular regions, and thus facilitate PKA modulation of particular proteins (Gray et al. 1998). Yet to activate PKA half-maximally, cAMP levels must reach >70 nM (Adams et al. 1991). We have shown here that, without hindered diffusion, cAMP does not reach levels high enough to regulate PKA, even near AC. In other words, if diffusionally restricted microdomains did not exist, cAMP levels throughout the cell would have to increase enough to activate PKA. To inactivate PKA, cAMP throughout the cell would then have to be hydrolyzed by phosphodiesterase or extruded. Not only would this process require excessive amounts of energy, it would be slow. Furthermore, PKA would be activated in all subdomains of the cell, and thus many of the advantages of AKAPs would be lost. Based on our results, a more likely scenario is that cAMP is regulated within microdomains, allowing for rapid, local control of PKA activity (Fig. 11 A). In fact, given the maximal rates of cAMP production measured by oCNG channels (HEK-AC8, 0.37 ± 0.09 μM/s; C6-2B, 0.23 ± 0.06 μM/s), PKA within a microdomain would be maximally activated in <1 s. In this model, activation of PKA subunits targeted to different microdomains could occur. For example, it has been shown recently that tethering PKA to the surface membrane with AKAPs enhances the transcription of cAMP-induced genes in PC-12 cells (Cassano et al. 1999). In contrast to membrane-localized PKA, cytosolic PKA would be activated more slowly, by persistent stimulation of AC (Fig. 11 B), as measured in studies using microinjected, fluorescently labeled PKA subunits (Adams et al. 1991, Adams et al. 1993; DeBernardi and Brooker 1996).
These microdomains may also allow for local and precise feedback control of AC. CNG channels could play a role here. Our findings that they functionally colocalize with Ca2+-stimulable AC (type 8 in HEK-AC8 cells) and Ca2+-inhibitable AC (type 6 in C6-2B cells) suggest that Ca2+ influx through these channels provides rapid stimulatory or inhibitory feedback to AC. This may be an important function of CNG channels in nonsensory cells. In this vein, the low apparent cAMP affinities of CNG channels might be explained if they reside primarily in microdomains, where high concentrations can build up. In addition to Ca2+ influx through CNG channels, PKA stimulation of Ca2+ channel activity could also provide feedback regulation of AC. Local Ca2+ feedback regulation of AC could initiate dynamic fluctuations in cAMP (Cooper et al. 1995, Cooper et al. 1998; Bhalla and Iyengar 1999). Such fluctuations would considerably expand the information content of cAMP signals. In summary, the localized signaling described here may help to explain how cAMP coordinates a large variety of cellular phenomena.
We thank Dr. R.R. Reed for providing the cDNA encoding the olfactory CNG channel, Dr. J. Cali for providing the HEK-AC8 cell line, and Drs. R.L. Brown, K. Svoboda, and A. Zweifach for helpful comments on the manuscript.
This work was supported by National Institute of Health grants GM32438, NS28389, HL58344, and DC00385.
Portions of this work were previously published in abstract form (Rich, T.C., K.A. Fagan, J. Schaack, D.M.F. Cooper, and J.W. Karpen. 1999. J. Gen. Physiol. 114:16a; Rich, T.C., K.A. Fagan, J. Schaack, D.M.F. Cooper, and J.W. Karpen. 2000. Biophys. J. 78:391A).
Abbreviations used in this paper: AC, adenylyl cyclase; AKAP, A-kinase anchoring protein; HEK, human embryonic kidney; NPE-cAMP, 1-(2-nitrophenyl)ethyl-cAMP; oCNG channel, olfactory cyclic nucleotide-gated channel; PDE, phosphodiesterase.
The forskolin concentrations used in this study were similar to those used in other studies (10–50 μM; Adams et al. 1991; Debernardi et al. 1993; Frace et al. 1993; DeBernardi and Brooker 1996; Jurevicius and Fischmeister 1996). These stimulus conditions may result in higher cAMP levels than would occur under more physiologic conditions. However, we did not maximally stimulate AC, nor did we inhibit phosphodiesterase activity (except for the data presented in Fig. 8).
These results also serve another important purpose, in that they verify the calibration of the sensor in the whole-cell environment. The time courses of the wash-in of 40 μM and 1 mM cAMP are consistent with a K1/2 value for the channels of 40 μM, and inconsistent with K1/2 values ≤20 μM. The response to 1 mM cAMP was much faster because high concentrations reached the channel well before the pipette solution equilibrated with the microdomain. If the K1/2 were much lower than 40 μM, simulations show that the wash-in of 1 mM cAMP would be considerably faster than 38 s. The flash photolysis experiment in Fig. 1 A is also consistent with K1/2 being > 20 μM. The response to a flash was much larger than the response to 20 μM cAMP (added to the patch pipette). These experiments reinforce the conclusion that high local concentrations of cAMP were generated in response to forskolin stimulation.