Am J Physiol Cell Physiol AJP: Cell Physiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Am J Physiol Cell Physiol 290: C1666-C1677, 2006. First published January 18, 2006; doi:10.1152/ajpcell.00299.2005
0363-6143/06 $8.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
290/6/C1666    most recent
00299.2005v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via ISI Web of Science (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Laver, D. R.
Right arrow Articles by Bradley, K. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Laver, D. R.
Right arrow Articles by Bradley, K. M.

REPORT

MEMBRANE TRANSPORTERS, ION CHANNELS, AND PUMPS

Disulfonic stilbene permeation and block of the anion channel from the sarcoplasmic reticulum of rabbit skeletal muscle

Derek R. Laver and Katherine M. Bradley

School of Biomedical Sciences and Hunter Medical Research Institute, Faculty of Health, The University of Newcastle, Callaghan, New South Wales, Australia

Submitted 17 June 2005 ; accepted in final form 16 January 2006

ABSTRACT

Block of a sarcoplasmic reticulum anion channel (SCl channel) by disulfonic stilbene derivatives [DIDS, dibenzamidostilbene-2,2'-disulfonic acid (DBDS), and 4,4'-dinitrostilbene-2,2'-disulfonic acid (DNDS)] was investigated in planar bilayers using SOFormula as the conducting ion. All molecules caused reversible voltage-dependent channel block when applied to either side of the membrane. DIDS also produced nonreversible channel block from both sides within 1–3 min. Reversible inhibition was associated with a decrease in channel open probability and mean open duration but not with any change in channel conductance. The half inhibitory concentration for cis- and trans-inhibition had voltage dependencies with minima of 190 nM and 33 µM for DBDS and 3.4 and 55 µM for DNDS. Our data supports a permeant blocker mechanism, in which stilbenes block SCl channels by lodging in the permeation pathway, where they may dissociate to either side of the membrane and thus permeate the channel. The stilbenes acted as open channel blockers where the binding of a single molecule occludes the channel. DBDS and DNDS, from opposite sides of the membrane, competed for common sites on the channel. Dissociation rates exhibited biphasic voltage dependence, indicative of two dissociation processes associated with ion movement in opposite directions within the trans-membrane electric field. The kinetics of DNDS and DBDS inhibition predict that there are two stilbene sites in the channel that are separated by 14–24 Å and that the pore constriction is ~10 Å in diameter.

4,4'-dinitrostilbene-2,2'-disulfonic acid; dibenzamidostilbene-2,2'-disulfonic acid; permeant blocker


DISULFONIC STILBENE DERIVATIVES (stilbenes) are divalent anions at neutral pH (Fig. 1). They have been extensively used as pharmacological probes to study the transport kinetics and molecular structure of a wide range of membrane transporters [e.g., band-3 anion transporter (13) and CaATPase (10)] and ion channels [e.g., cation channels (25, 28) and anion channels (references given below)]. Disulfonic stilbenes are known to inhibit anion channels by reversible and nonreversible mechanisms (3). The nonreversible effects are presumably due to the covalent bonds that can form between isothiocyanate groups (e.g., DIDS has two isothiocyanate groups) and a variety of amino acid residues. DIDS can bind with NH2 groups on lysine residues, OH groups on serine residues, aromatic groups on tyrosine, and thiol groups on cysteine residues. 4,4'-Dibenzamidostilbene-2,2'-disulfonic acid (DBDS) and 4,4'-dinitrostilbene-2,2'-disulfonic acid (DNDS) both lack isothiocyanate groups and so cannot form covalent bonds with amino acids nor cause nonreversible inhibition.


Figure 1
View larger version (38K):
[in this window]
[in a new window]
 
Fig. 1. Chemical structures of 4,4'-dinitrostilbene-2,2'-disulfonic acid (DNDS; A), 4,4'-dibenzamidostilbene-2,2'-disulfonic acid (DBDS; B), and DIDS (C). A,a: structural formula for DNDS. b: Van der Waals space-filling model for DNDS shown with sulfate groups in the trans conformation. The structure was energy minimized and displayed with the use of Spartan software. c: wire-frame model for DNDS showing three-dimensional configuration. d: end view down the long axis of the molecule. The box (6 Å x 10 Å) indicates the minimum pore dimensions allowing DNDS passage. B,a: structural formula for DBDS. b: space-filling model for DBDS with sulfate groups in the cis configuration. c: wire-frame model for DBDS. C: structural formula for DIDS. The horizontal scale bars are 14 Å and 24 Å for DNDS and DBDS, respectively.

 
Although stilbenes are widely used as pharmacological probes for anion channel function, few studies have addressed their mode of action. With the ClC family, a close association between the DIDS blocking site and the pore was first indicated by the finding that DIDS independently blocks each pore of the double-barrel Cl channel in Torpedo electroplax (ClC0; Ref. 23). This line of work culminated with a recent report (26) that the specific amino acid residues that determine DIDS binding are located in the vestibule of the ClC channels. Mutational studies of the cystic fibrosis transport regulator anion channel show that the positive charges on the Lys95 and Arg347 play a major role in both channel conductance and block by a range of anionic inhibitors, including DNDS (8, 21, 22). Lys95 is positioned in the TM1 region of the amino acid sequence, which is thought to line the pore (8). Although evidence favors the hypothesis that anionic blocker molecules such as stilbenes lodge in the pore, there is no clear evidence that this is the case for cystic fibrosis transport regulator or for anion channels in general.

Stilbenes have been used to study anion fluxes across the sarcoplasmic reticulum (SR) of muscle. At micromolar concentrations they inhibited the transport of Cl, Pi, oxalate, and SOFormula across the SR membrane (4, 11, 12). With the use of the bilayer method, single channel recordings have identified an anion channel (SCl channel) that was strongly inhibited by the stilbene DIDS (20). It was highly regulated, being activated by µM cytoplasmic Ca2+ (17) and inhibited by cytoplasmic acidification (<7 pH), millimolar adenine nucleotides (1, 14), and inositol phosphates (16). It was activated and inhibited by oxidation and reduction, respectively (15). SCl channels have a bell-shaped voltage dependence with maximal activation between 0 and –80 mV (with respect to the lumen; Ref. 18).

Although the SCl channel was first identified as a Cl channel (75 pS in 250/50 mM Cl) (18), it has since been found to be a divalent anion channel, passing SOFormula(60 pS in 250 mM SOFormula) and the divalent form of Pi (maximum conductance = 22 pS) (20). The physiological ion for this channel is not clear. The SCl channel is unlikely to serve as a Cl channel in muscle because its permeability to Cl is three to six times lower than to divalent anions such as Pi and SOFormula(20) and intracellular Cl concentration (<10 mM) is relatively low. The SCl channel is the only SR channel known to pass SOFormula and thus is likely to be the basis for the stilbene-sensitive fluxes reported in early studies (see above). In this study, the SOFormula current through the SCl channel was used to examine the inhibition kinetics of DIDS, DBDS, and DNDS. This study aims to elucidate their mechanism of action and establish whether the molecules block the pore and permeate the channel. As yet, nothing is known about the structure of the SCl channel. A comparison of the block by stilbenes with different molecular sizes (DBDS and DNDS; see Fig. 1) has produced our first insights into the architecture of the SCl pore.

MATERIALS AND METHODS

Preparations of SR microsomes. SR vesicles were prepared from the back and leg muscles of New Zealand White rabbits. The rabbits (~4 kg wt) were euthanized with a barbiturate (Lethobarb) overdose (7.5 ml iv) before the muscle was removed for biochemical processing. SR vesicles were prepared as described by Laver et al. (20).

Lipid bilayers, chemicals, and solutions. Unless otherwise stated, lipid bilayers were produced using an 8:2 mixture of phosphatidylethanolamine and phosphatidylcholine dissolved in 20 µl n-decane to a final concentration of 50 mg/ml. Bilayers containing 30% phosphatidylserine also contained 50% phosphatidylethanolamine and 20% phosphatidylcholine. Lipids were obtained from Avanti Polar (Alabaster, AL). Bilayers were formed across a hole in a Delrin cup (aperture ~100–200 µm diameter) separating the cis- and trans-solutions. SCl channels were mostly recorded using cis-solutions containing 250 mM MgSO4, 10 mM MgCl2, 10 TES (pH 7.4), and trans-solutions containing 50 mM MgSO4, 10 mM MgCl2, and 10 TES (pH 7.4). These solutions permitted measurement of SCl activity via their SOFormula permeability. This obviated the effects of interfering signals from the BCl channels which are impermeable to SOFormula and K+ channels, which are blocked by Mg2+. Ruthenium red (5 µM) was added to the cis-solution to inhibit ryanodine receptor activity.

Vesicles were added to the cis-solution where incorporation into the lipid bilayer was facilitated by the osmotic gradient (higher osmotic potential in the cis-bath) and the presence of 1–5 mM cis-Ca2+. Channels oriented in the bilayer such that their cytoplasmic side faced the cis-solution.

DNDS (Molecular Probes), DIDS, and DBDS (MP Biomedicals) were prepared as concentrated stocks in dimethyl sulfoxide (DMSO) in a range of 100 µM to 150 mM and added via aliquot additions to the cis- and trans-solutions. A large range of stock concentrations was prepared to keep the bath concentrations of DMSO to a minimum, preventing potential DMSO/SCl interactions. This precaution proved unnecessary because, unlike the ryanodine receptor (25), DMSO has no effect on the activity of the SCl (see RESULTS). In some experiments, DIDS was applied by perfusion tubes placed near the bilayer (25). This arrangement permitted both application and washout of DIDS.

Data acquisition and analysis. Bilayer holding potentials were controlled using an Axopatch 200B amplifier (Axon Instruments). All electrical potentials are expressed as cytoplasmic side relative to luminal side at virtual ground. During the experiments, the bilayer current was recorded after low-pass filtering at 5 kHz, sampled at 50 kHz, and simultaneously stored on computer disk using data interfaces (Data Translation DT301 or DT3001) under the control of in-house software written in Visual Basic. Before analysis, the single channel recordings were filtered at 200 Hz and resampled at 1 kHz.

Analyses of channel conductance and open and closed durations were made using the Hidden Markov Model algorithm (5). The Hidden Markov Model finds the maximum likelihood estimate of the channel current transitions present in the record (i.e., an idealized representation of the recording) and provides for the determination of channel amplitudes, transition probabilities, and transition rates. It operates on the assumption that the channel current signal is the sum of a first-order, finite-state, Markov process, and white, uncorrelated, Gaussian noise of a known variance. Analysis was carried out on single-channel recordings, with steady baseline, varying in duration from 10 to 60 s.

Dwell-time frequency histograms of channel open and closed dwell times were compiled from idealized representations of the recordings containing between 102 and 103 events. The distributions are displayed either as probabilities or frequencies (the number of events of a particular duration per second of recording) and plotted using the "log-bin" method suggested by Sigworth and Sine (27). Sampling bins were equally spaced on a log scale with 7 bins per decade. Putative gating models were evaluated by fitting theoretical probability distribution functions to the dwell-time histograms using the Q-matrix method (6, 7). The algorithm of Blatz and Magleby (2) was used to calculate the effects of current steps that were too short to be detected. For current records, this detection limit (dead time) of channel events ranged from 0.5 to 1 ms, depending on their signal-to-noise ratio. Optimum model fits to the data were obtained using Newton’s method and the quality of fit was determined from the root-mean-square of the differences between the theory and data.

RESULTS

DIDS: reversible and nonreversible inhibition. DIDS inhibited SCl channels by both reversible and nonreversible mechanisms (Fig. 2). Figure 2A shows an example of cis application of 40 µM DIDS to an SCl channel (cis- and trans-baths correspond to cytoplasm and SR lumen, respectively). SOFormula current through the channel was irreversibly inhibited within seconds, just as reported in a previous study (18) using Cl as the permeant ion. In addition, it was found that DIDS added to the trans-bath permanently blocked the channel within 1–3 min (N = 3 not shown). Before permanent closure, DIDS produced a flicker block (Fig. 2A, dashed arrow), which could be reversed by removing DIDS from the solution (Fig. 2B). Reversible inhibition was characterized by a marked increase in the number of brief channel closures, which was more pronounced at negative membrane potentials. The unitary current was not sensitive to DIDS, being 2.9 ± 0.2 pA (–40 mV, N = 3) in the presence of 0–60 µM DIDS. In control experiments, DMSO was added to the cis- and trans-baths and at concentrations of up to 2% had no observable effect on SCl channel conductance and open and closed times (not shown).


Figure 2
View larger version (32K):
[in this window]
[in a new window]
 
Fig. 2. Cis-inhibition of SCl channels by DIDS. A: nonreversible inhibition of an SCl channel by 40 µM DIDS addition to the cis-bath (arrow). The large background noise immediately after DIDS addition was due to stirring of the bath. DIDS initially caused the channel to "flicker" (dashed arrow) and then permanently close. B: another recording showing the "flickery" inhibition by DIDS at positive and negative voltages. This inhibiting effect could be reversed by perfusing DIDS away from the bilayer. The effect of DIDS appeared to be more pronounced at negative membrane potentials. The composition of the cis- and trans-baths are described in MATERIALS AND METHODS, except that trans-bath contained 125 mM MgSO4. The baseline currents are shown by the dashed lines.

 
Detailed analysis of the reversible effects of DIDS was hampered by the limited time window imposed on data collection by the onset of nonreversible channel inhibition. The reversible effects of stilbenes were more easily studied using DBDS and DNDS, which did not produce nonreversible inhibition of SCl channels. These compounds, when added to either the cis- or trans-solution, produced a similar flicker block as seen during reversible DIDS inhibition (Figs. 3 and 4).


Figure 3
View larger version (22K):
[in this window]
[in a new window]
 
Fig. 3. Concentration-dependent inhibition of SCl channels by cis-DBDS and DNDS. The membrane potential was –40 mV where inhibition was most potent (see Figs. 7 and 9). The baseline currents are shown by the dashed lines.

 

Figure 4
View larger version (14K):
[in this window]
[in a new window]
 
Fig. 4. Concentration-dependent inhibition of SCl channels by trans DBDS and DNDS. The membrane potential was +40 mV.

 
DNDS and DBDS: effect on channel conductance. The SOFormula conductance of SCl channels was 54 ± 1 pS in the presence of 250/50 mM MgSO4 (cis/trans) as determined from a linear fit to current-voltage data in Fig. 5B. This compares with a conductance of 75 pS in 250 mM Cl (18), in which a large proportion of channel openings were conductance substrates (~40% substate probability). In the presence of SOFormula, substate probabilities were >10-fold lower than in Cl. Maximum likelihood amplitude histograms revealed a 20 pS substate (indicated by the arrow in Fig. 5A). This substate accounted for <1% of the channel activity and so the channel gating analysis could be simplified by grouping substates and channel closures. Histograms in Fig. 5A show that DBDS reduced the proportion of the 54 pS channel openings (~2 pA) and 20 pS substates while increasing the proportion of the baseline. Figure 5B shows that DBDS applied from either the cis- or trans-sides did not alter channel conductance. In the presence of DBDS (5 µM cis or 50 µM trans) the conductance changed by <2% (each from N = 3 paired experiments). Similarly, cis- or trans-DNDS produced <2% change in channel conductance (each from N = 4 paired experiments, not shown).


Figure 5
View larger version (8K):
[in this window]
[in a new window]
 
Fig. 5. The effect of cis- and trans-DBDS on SCl channel conductance. A: typical maximum likelihood amplitude histograms of an SCl channel at –40 mV constructed using the Hidden Markov Model algorithm (see MATERIALS AND METHODS) under control conditions (dashed curve) and in the presence of DBDS (solid curve). Peaks in the distributions indicate the conductance states of the channel. A conductance substate is shown by a minor peak at 0.8 pA (arrow). B: mean current-voltage characteristics of SCl channel openings in the presence and absence of DBDS (N = 3 for cis and N = 3 for trans).

 
DIDS: analysis of reversible flicker block. The dose response of the DIDS reversible flicker block is shown in Fig. 6A. The half-inhibitory concentration (Ki) was 60 µM at –60 mV (N = 7). The kinetics of SCl inhibition was analyzed by compiling dwell-time histograms of open and closed events from single channel recordings. Under control conditions, open-time distributions were single exponentials with time constants of 100–200 ms, whereas closed-time histograms exhibited three exponential components with time-constants of 2.6 ± 0.2, 14 ± 2, and 327 ± 24 s (–40 mV; e.g., Figs. 6C, 8B, and 10B). Cis inhibition by DIDS was associated with a decrease in the open exponential time-constant (Fig. 6B) and a new exponential component in the closed-time frequency distribution (Fig. 6C, arrow). The time constant of DIDS-induced closures was 7 ± 2 ms (N = 4).


Figure 6
View larger version (11K):
[in this window]
[in a new window]
 
Fig. 6. Concentration dependence of reversible inhibition of SCl channels by DIDS in the cis-solution at –60 mV. A: the concentration dependence of open probability (Po) normalized to its value in the absence of DIDS. The solid curve shows a Hill fit with half-inhibitory concentration (Ki) = 60 µM (see Table 1 for further details). Examples of the effects of cis-DIDS on open-time histograms (B) and closed-time histograms (C), which are displayed using the log-binned method of Sigworth and Sine (27). The open- and closed-times were grouped into bins that were equally spaced on a log scale (7 bins per decade). This method transforms exponentially decaying distributions to peaked distributions where the peaks correspond to exponential time constants. The arrow in C marks the time constant of DIDS-induced channel closures. Open-time histograms show the probability distributions, whereas closed-time histograms show the number of occurrences per second of recording (i.e., frequency). The latter is used to highlight the increased incidence of drug-induced closures in each record. The curves show multiexponential fits to the data. Histograms were compiled from the following number of events: bullet, 552 events over 26 s, {circ}, 193 events over 8 s, {blacksquare}, 131 events over 2 s, and {square}, 300 events >4 s.

 

Figure 8
View larger version (23K):
[in this window]
[in a new window]
 
Fig. 8. Dwell-time analysis of SCl inhibition by DBDS. Examples of the effects of cis-DBDS on open-time histograms (A) and closed-time histograms (B), which are displayed as described in the caption to Fig. 6. Histograms were compiled as follows: bullet, 165 events over 19 s; {circ}, 230 events over 53 s; {blacksquare}, 445 events over 130 s; and {square}, 175 events over 240 s. C: mean closed dwell-time histograms from SCl channels inhibited to a similar degree by 50 µM DBDS in either the cis (N = 3) or trans (N = 6) bath at +40 mV. D: concentration dependencies of the mean time constants of the open-time distributions and the DBDS-induced component of closed-time distributions derived from exponential fits to the histograms (not shown) for cis-DBDS inhibition (N = 6). Voltage-dependent effect blocking kinetics of cis- and trans-DBDS. E: open-time effects are displayed as the product of mean open-time ({tau}o) and [DBDS] over the concentration range, where these quantities are inversely related (e.g., [DBDS] >2 µM in D). F: the time constant of closed times induced by DBDS. The curves show fits to the data of the pore-blocking model of stilbene inhibition using a single set of parameter values for DBDS, which are given in Table 2. In CF, the dashed and solid lines are fits to the open and solid symbols, respectively.

 

Figure 10
View larger version (23K):
[in this window]
[in a new window]
 
Fig. 10. Dwell-time analysis of SCl inhibition by DNDS. Examples of the effects of cis-DNDS open-time histograms (A) and closed-time histograms (B), which are displayed as described in Fig. 6. The arrows in (B) mark two exponential time constants that appear as a result of DNDS inhibition. Histograms were compiled as follows: bullet, 864 events over 42 s; {circ}, 795 events over 53 s; {blacksquare}, 316 events over 50 s; {square}, 571 events over 80 s. C: examples of the effects of trans DNDS on closed-time histograms at –20 mV. Histograms were compiled as follows: bullet, 572 events over 120 s; {circ}, 580 events over 29 s; {square}, 570 events over 22 s; {square}, 512 events over 30 s. D: proportion of DNDS-induced closures associated with the short time constant at three membrane voltages. E and F: voltage-dependent blocking kinetics of cis-and trans-DNDS displayed as described in Fig. 8. F: time constant of closed times induced by DNDS. Note that cis DNDS produced two time constants ({square}, bullet). The curves show fits to the data of Scheme II using a single set of parameter values for DNDS which are given in Table 2. D: lines show model predictions at –20 mV (short dashes), –40 mV (solid) and –60 mV (long dashes). In E and F, the dashed and solid lines are fits to the open and filled symbols, respectively. The model predicts two closed-time time constants for both cis- and trans-inhibition. In the case of trans-inhibition (solid curve in F) the predominant exponential switched between the short and long component between –40 and –20 mV. This switch is indicated by the discontinuity in the solid curve.

 
DBDS: analysis of flicker block. The dose responses of DBDS-induced inhibition of open probability (Po) are shown in Fig. 7A, and Ki values are shown in Fig. 7B and Table 1. The effect of anionic lipids on Ki was measured because the negative surface charge on the bilayer reduces the effect of stilbenes on Ca2+ release channels (25). The inclusion of 30% phosophatidylserine in the bilayer-forming mixture had no significant affect on Ki (see Table 1, rows 1 and 2). The voltage dependence of inhibition is summarized by the plot in Fig. 7B. The Ki for cis- and trans-block had opposite voltage dependencies with each voltage dependence exhibiting a broad minimum. The minimum Kis for cis- and trans-block were 190 nM and 33 µM, respectively.


Figure 7
View larger version (9K):
[in this window]
[in a new window]
 
Fig. 7. Concentration- and voltage-dependent inhibition of SCl channels by DBDS in the cis- and trans-solutions. A: concentration-dependencies of inhibition at –40 mV. Data were normalized to Po in the absence of DBDS. Inhibition by cis-DBDS in the presence of trans-5 mM DNDS shifted the dose response to ~20-fold higher concentrations. Po in the presence of trans-DNDS alone was 0.13 ± 0.05 (3 experiments on 11 channels). Curves show Hill fits to the dose responses. Ki, Hill coefficients, and numbers of experiments are given in Table 1. B: the voltage dependence of Ki for DBDS (cis, N = 6; trans, N = 5).

 

View this table:
[in this window]
[in a new window]
 
Table 1. Parameter values for the Hill fits to concentration-dependent inhibition of SCI activity by various compounds shown in Figs. 6, 7 and 9

 
Inhibition by cis- and trans-DBDS was associated with a decrease in the open exponential time constant. The time constant was inversely proportional to concentration when the concentration exceeded Ki (Fig. 8, A and D). DBDS induced a new exponential component in the closed-time frequency distribution (Fig. 8, B and C). The size of this component increased with increasing concentration yet its time constant was concentration independent (Fig. 8D). Taken together, these data suggest that the binding of a single DBDS molecule to the channel is sufficient to cause block.

The voltage dependencies of DBDS blocking kinetics are summarized in Fig. 8, E and F. Because open times, {tau}o, were inversely related to concentration, the DBDS binding kinetics were expressed by {tau}o x [DBDS] {approx} binding rate–1. The binding rates have an exponential dependence on bilayer voltage. Binding from cis- and trans-sides have opposite voltage dependencies with respect to the effect on {tau}o. Both cis- and trans-DBDS produce very similar values of {tau}c ({tau}c {approx} unbinding rate–1), which follow biphasic voltage dependencies with maxima at around –20 mV. This similarity is highlighted by the example shown in Fig. 8C (+40 mV), which shows means ± SE of closed histograms from several experiments. The voltage dependencies of DBDS binding and unbinding can be broadly understood in terms of the Woodhull (29) model for voltage-dependent ion block of channels, where the binding and unbinding rates have an exponential voltage dependence determined by the location of the blocker binding sites and energy barriers within the trans-membrane electric field. The strong voltage dependencies of DBDS binding suggest a binding site within the pore. Curiously, {tau}c, and hence unbinding rates, could be described by the sum of two dissociation mechanisms with opposite voltage dependencies, indicating molecular movements in opposite directions within the trans-membrane electric field. This is consistent with an unbinding mechanism that can release DBDS to either the cis- and trans-sides of the membrane. The similar values of {tau}c for cis- and trans-block indicate that the DBDS unbinding rate is independent of the side from which DBDS first enters the channel. This is consistent with a DBDS binding site within the pore that is accessible from both sides of the membrane. The possibility that DBDS permeates the channel is explored in Combined cis and trans inhibition.

DNDS: analysis of flicker block. The dose responses of DNDS-induced inhibition are shown in Fig. 9A and Ki are given in Fig. 9B and Table 1. Like DBDS, the Ki for cis- and trans-block by DNDS had opposite voltage dependencies, which were biphasic. The most potent affinities for cis- and trans-block were 3.4 and 5.5 µM, respectively. Thus DNDS is a less potent blocker than DBDS.


Figure 9
View larger version (9K):
[in this window]
[in a new window]
 
Fig. 9. Concentration- and voltage-dependent inhibition of SCl channels by DNDS in the cis- and trans-solutions. A: concentration dependencies of inhibition at –40 mV. Data were normalized to Po in the absence of DNDS. Curves show Hill fits to the dose responses and the values of Ki and Hill coefficient experiment numbers are given in Table 1. B: voltage dependence of Ki for DNDS (cis, N = 4, trans, N = 4).

 
The concentration- and voltage-dependent effect of DNDS on open-time distributions was qualitatively the same as DBDS (Fig. 10, A and E). However, closed-time distributions in the presence of cis-DNDS were quite different, showing two clear exponential components (Fig. 10B, arrows). The time constants in closed times were independent of concentration but the proportion of closed events in each exponential shifted markedly toward the longer component with increasing concentration (Fig. 10D). DNDS-induced closures significantly differed for cis- and trans-DNDS (Fig. 10F), although they shared very similar short time constants at negative bilayer voltages. The presence of two distinct time constants was unique to block from the cis-side at negative voltage. The time constants for DNDS-induced closures followed biphasic voltage dependencies, suggesting a permeation/blocking mechanism similar to that suggested for DBDS. However, it appears that the blocking mechanism for DNDS is more complex than that proposed for DBDS.

Combined cis and trans inhibition. To further explore the possibility that DBDS and DNDS permeate through the anion pore experiments were carried out to detect interactions between blocking ions from opposite sides of the membrane. If blocker permeation occurs, then one would expect inhibitors on opposite sides of the membrane to exhibit competitive blocking kinetics. Ki was measured for cis-DBDS at –40 mV in the presence and absence of DNDS (5 mM) in the trans-bath. DNDS was chosen for the trans-bath because it was more soluble than DBDS (~200 µM max) and could be used at concentrations well above its Ki. The addition of 5 mM DNDS in the trans-bath caused 85% reduction in Po. After this, addition of cis-DBDS caused further inhibition. The dose-response of DBDS inhibition, normalized to Po in the presence of 5 mM DNDS and no DBDS, is shown in Fig. 7A and the values for Ki are given in Table 1. DNDS in the trans-bath increased the Ki for cis-DBDS by ~20-fold, which is a clear indication of competition between DBDS and DNDS on opposite sides of the membrane.

To gain a more detailed understanding of cis/trans drug interactions the combined effects of cis- and trans-block on closed dwell-time distributions were analyzed. The addition of cis- (20 µM) or trans- (2,000 µM) DNDS to channels, that were already inhibited by DNDS on the opposite side, increased the average duration of DNDS-induced channel closures (Fig. 11, A and C). In the case of the trans-addition (Fig. 11C), the lengthening of channel closures appeared to be due to a shift in the proportion of events associated with short and long exponential components. The lengthening of channel closures indicates that DNDS from cis- and trans-sides can simultaneously interact with the channel at what must be at least two separate sites.


Figure 11
View larger version (21K):
[in this window]
[in a new window]
 
Fig. 11. The combined effects of cis- and trans-DNDS (A and C) and DBDS (B and D) on closed dwell-time histograms. The arrows mark the drug-induced time constants in the data. The dashed and full arrows in (A) indicate the main time constant in open and filled symbols, respectively. In C, the arrows indicate two time constants common to both data sets. The presence of DNDS on both sides of the membrane produced longer time constants in closed distributions than DNDS on only one side of the membrane. This phenomenon was not observed using DBDS. The dashed and solid lines are model fits, using the parameters in Table 2, to the open and filled symbols, respectively. Deviations of the model from the data are due to differences between the average data to which the model was fitted and the individual experiments shown here.

 
The combined actions of cis- and trans-DBDS block were quite different from DNDS. DBDS induced channel closures with a time constant of ~300 ms (Fig. 11, B and D, arrow). Although the addition of cis (2 µM) or trans (200 µM) DBDS increased the inhibition in channels already partly inhibited from the opposite side, this inhibition was not associated with a lengthening of time constant for DBDS-induced channel closures. Therefore, in the case of DBDS, there is no indication that two molecules can simultaneously bind from opposite sides of the channel.

Effect of permeant ion, SO42–, on stilbene inhibition. In three experiments, inhibition by cis-DNDS was measured at –40 mV in the presence of symmetric 50 mM SOFormula(cis and trans). Under these conditions, open and closed dwell-time histograms differed markedly from similar experiments carried out in fivefold higher (250 mM) cis-SOFormula(Fig. 12). In 50 mM SOFormula, 5 µM DNDS reduced mean open times to 6.5 ± 1 ms, which is threefold shorter than 22 ± 3 ms observed in 250 mM SOFormula(N = 4). This is consistent with competition between DNDS and SOFormula for common sites on the channel. Reduced SOFormula concentration also increased closed durations. In the presence of 50 mM SOFormula, DNDS induced mean closed time of 80 ± 10 ms, which is twofold longer than 39 ± 4 ms observed in 250 mM SOFormula(N = 6).


Figure 12
View larger version (12K):
[in this window]
[in a new window]
 
Fig. 12. The effect of cis [SOFormula] on open-time (A) and closed-time (B) histograms in the presence of 5 µM DNDS in the cis-bath. The dashed and solid lines are model fits to the open and filled symbols, respectively. Except for the cis-association rate, ko-c, and trans-dissociation rate, kt-o (see values in parentheses in Table 2), the parameters are the same as listed in Table 2. The effect of a fivefold decrease in [SOFormula] is compared with the model prediction for a threefold increase in ko-c and in kt-o.

 
Development of a model for stilbene block. To quantitatively assess the blocker permeation model for SCl inhibition the data were compared with theoretical probability distribution functions that were derived from various kinetic schemes comprising combinations of channel open, closed, and blocked (drug-induced closure) states. These were fitted with the experimental open- and closed-time distributions using the method of least squares. As a starting point, the control dwell-time histograms for each experiment were characterized by voltage-dependent exponential distributions (a single exponential for open times and three exponentials for closed times) using a voltage-dependent kinetic scheme (Scheme I, shown below). The connectivity between states is arbitrary and there is no intention to draw conclusions about the gating mechanism of the native channel.


Formula 1

(1)
The characteristics of DNDS inhibition suggested a mechanism in which DNDS inhibits by blocking the pore and where DNDS may be released to either side of the membrane. The two exponential components in the distribution of DNDS-induced channel closures indicate the presence of at least two blocked states. The synergistic action of cis- and trans-DNDS on the duration of blocked durations indicate the presence of at least two sites, which can be simultaneously occupied by DNDS. The simplest model that incorporated these features, and which fitted that data, is shown in Fig. 13 and Scheme II.


Formula 2

(2)
In this scheme, stilbenes bind within the vestibules on each side of the channel and block the pore (the vestibules are labeled C and T, symbolizing cis- and trans-sites, respectively). From these sites the blocking molecules may pass through the pore and bind to the opposite vestibule. In Scheme II, X symbolizes the blocking molecule and the nomenclature for transition rates, k, is given for those rates that are associated with the outside arrows (the full set of transitions is listed in Table 2). Each rate constant is voltage dependent and is governed by two parameters; k0, the rate at 0 V, and {delta}, which is the degree of voltage dependence (the voltage-dependent equations are shown in Fig. 13). The model includes provision for the C and T sites to be both occupied (BCT). The values of {delta} were assumed to be independent of the presence of a second ion in the channel (see Table 2). Furthermore, to satisfy conditions for ionic equilibrium, addition constraints were placed on the parameters (see Table 2). Initially, Scheme II was fitted separately to voltage- and concentration-dependent dwell-time histograms from each experiment (e.g., data in Figs. 8, A and B, 10, A and B, 11, AD, and 12, A and B). Within each experiment, this amounted to fitting 10–25 pairs of dwell-time histograms. The final parameter set was obtained from fitting mean data from many experiments, where the same parameters were used to fit cis- and trans- and combined cis/trans-inhibition (e.g., Figs. 8, DF and 10, DF).


Figure 13
View larger version (20K):
[in this window]
[in a new window]
 
Fig. 13. The permeant blocker mechanism for inhibition by disulfonic stilbene derivatives. A: permeation mechanism with equation describing the voltage dependencies of model parameters. Disulfonic stilbene molecules can enter the pore from either cis- or trans-sides, and once bound to the pore, may be released to either cis- or trans-baths. These molecules can bind at two separate sites in each channel vestibule (cis-site and trans-site). The transition rates, k, and their voltage dependencies, {delta}, associated with cis- and trans-sites are indicated by superscripts c and t, respectively. B: concentration dependencies of DNDS and DBDS permeation rates predicted by the model at –40 mV. Predictions are normalized to their maximum flux. C: voltage dependencies of permeation in the presence of symmetric 10 µM concentrations.

 

View this table:
[in this window]
[in a new window]
 
Table 2. Parameter values for stilbene inhibition model depicted in Scheme II

 
The curves in Figs. 8 and 1012 show fits of this model to dwell-time data from DBDS and DNDS. The parameter values used for DBDS and DNDS block are given in Table 2. Deviations between the data from individual experiments and the model predictions seen here (e.g., Fig. 11) reflect variations between individual experiments and the mean data set from which the parameters were derived. The model predicts two time constants in the DNDS-induced closed times, which are shown by the two arms of the theoretical curves in Fig. 10F. The dashed curves predict the two closed time constants shown in the cis-DNDS blocked events at negative voltages. However, block by cis-DNDS at positive voltages and trans-DNDS over the entire experimental voltage range revealed only one time constant. Under these conditions, the model still predicts two exponential components but only one time constant contained enough events to make a significant contribution to the mean closed time. The data in Fig. 10D shows that at more positive voltages the relative number of short time-constant closures due to cis-DNDS is relatively low. The model predicts that at +40 and +60 mV the mean blocking time of cis-DNDS will be similar to the longer time constant. The solid curves in Fig. 10F, which show the short and long time constants for the trans-DNDS blocked events have only been shown over the voltage range where they make a significant contribution to the overall block.

DISCUSSION

Disulfonic stilbene derivatives are permeant blockers. This study presents a broad data set that supports a permeant blocker mechanism for inhibition of the SCl channel by stilbenes (i.e., stilbenes block channels by lodging within the anion permeation pathway and can also permeate through the channel to the opposite side of the membrane). The following data provide evidence for binding of stilbenes in the anion permeation pathway. 1) The stilbenes are open channel blockers. The concentration dependencies of open and blocked durations indicate that binding can only occur when the channel is open and that the binding of a single stilbene molecule occludes the channel (Fig. 8D). 2) Stilbene molecules bind in the transmembrane regions. This is indicated by the strongly voltage-dependent binding kinetics shown in Figs. 8, E and F, and 10, E and F. 3) Stilbenes and permeant anions compete for common sites. The model fit to the data in Fig. 12 indicates that the binding rate of DNDS increases threefold from 5.6 to 19 (Ms)–1 when [SOFormula] is decreased from 250 mM to 50 mM. Furthermore, two lines of evidence indicate that stilbene molecules permeate through the channel. 4) The stilbenes can block the channel from both sides of the membrane and from opposite sides they compete for common sites within the channel (Fig. 7A). 5) Stilbene dissociation can occur in opposite directions within the trans-membrane electric field. Hence, upon dissociation, the blocking molecule can enter either the cis- or trans-baths. This is demonstrated by the biphasic voltage dependencies of DBDS and DNDS dissociation in Figs. 8F and 10F.

It is unknown whether DIDS can also permeate the pore. However, the fact that DIDS can permanently block the channel from each side of the membrane is consistent with DIDS permeating the pore and cross linking with amino acid residues in the permeation pathway of the channel.

Functional evidence linking stilbene inhibition with binding in the permeation pathway has been reported for DNDS inhibition of epithelial anion channels (3). It was reported that DNDS was an open channel blocker that competed with permeant ions. However, DNDS only blocked from the cis-side of the channel and its action showed no significant voltage dependence. Permeant blockade of an anion channel by stilbenes is a novel finding. A permeant blocker mechanism has been invoked previously to explain the biphasic voltage dependence of dissociation from BK channels of alkaline earth ions, such as Ca2+ and Ba2+ (19, 24). In those studies, interactions between permeant K+ and blocking ions were able to elucidate the detailed mechanism for K+ permeation long before crystal structures for K+ channels were available.

The stilbene permeation mechanism. The simplest permeant blocker mechanism would involve a single binding site in the channel that was accessible from both sides of the membrane. Our data rules against this in favor of a multisite mechanism. First, the blocked durations for DNDS showed two exponential components, which depended on concentration and voltage (Fig. 10, B and F). Second, the presence of DNDS on both sides of the membrane produced blocked periods with longer duration than could be produced by DNDS on one side alone (Fig. 11, A and C).

To gain more information about the permeation mechanism an attempt was made to quantitatively fit two site models to the data. A model that did not fit the data was one in which DNDS could bind at one site within the pore and another site on the cis-surface, where binding modulated permeation via an allosteric effect. This model could not account for the combined action of DNDS on both sides of the membrane. The simplest two-site model that fitted our data was one in which DNDS could bind at two sites in the permeation pathway as shown in Fig. 13 and Scheme II. Examination of the model parameters in Table 2 reveals that DNDS kinetics are not significantly affected by the presence of another DNDS molecule, except for dissociation from the trans-site, which was slowed almost fourfold (i.e., kct-c = 5.4 s–1 and kt-o = 19 s–1 in Table 2). This reduced exit rate was responsible for the long exponential seen in the blocked time distributions. This stabilizing of the dual binding conformation is counter intuitive because one would expect proximity of two anions in the channel to mutually destabilize each other. This problem can be resolved by explicitly considering the effects of SOFormula on stilbene permeation. The model fits to the data in Fig. 12 show that decreasing [SOFormula] in the cis-bath from 250 mM to 50 mM causes a fivefold reduction in the rate of DNDS dissociation to the trans-bath. Thus it appears that the presence of SOFormula in the pore destabilizes DNDS binding. In light of this finding, it can be seen that two adjacent DNDS molecules could be more stable than one DNDS molecule with SOFormula in the pore. DNDS at the cis-site might displace SOFormula and hence protect DNDS at the trans-site from the destabilizing effects of SOFormula.

It is clear from the data that DNDS and DBDS behave quite differently in the channel. The lower blocking potency of DNDS appears to be attributable to its considerably faster exit rates from the cis-site. Furthermore, the data shows no indication that more than one DBDS molecule can reside in the channel at any time. The blocked time distributions show only one exponential component and the combined effects of cis- and trans-DBDS produce blocked durations that were indistinguishable from the those caused by cis or trans alone (Fig. 11, B and D). The marked differences in the cis- and trans-blocking potencies of the stibenes stem mainly from the lower stilbene binding constants on the trans-side of the channel (Table 2).

It is worth noting that the voltage dependencies of the model parameters are larger than expected from the movement of a divalent ion through the transmembrane electric field. The Woodhull model predicts that the total magnitudes of {delta}s associated with translocation of DNDS across the membrane ({delta}o-c + {delta}c-o + {delta}c-t + {delta}t-c + {delta}t-o + {delta}o-t) should be 1, whereas in this study, it equals 2.47 for DBDS and 2.02 for DNDS. This underscores the fact that the model transition rates shown here do not depend solely on the energy profile for stilbenes within the pore. The model in Scheme II does not explicitly include the effects of SOFormula permeation, which is shown to be an important modulator of the blocker kinetics. Voltage dependence of the model parameters will include contributions from the voltage dependence of SOFormula occupancy of binding sites in the channel.

Scheme II was used to predict the rate of ion permeation through the SCl channel (Fig. 13). Although DNDS is a weaker channel blocker than DBDS, its maximal transport rate at each membrane potential is an order of magnitude higher than DBDS. Curiously, the concentration dependence of the DNDS transport rate shows a decrease at concentrations >10 µM, which is due to the lower permeability of DNDS when two molecules are in the pore.

Insights into channel architecture. The presence of negative lipids has been shown to strongly attenuate the action of stilbenes on ryanodine receptor activity, indicating that the negative charges on the lipids are close enough to the binding site to repel anionic molecules (25). In contrast to this, negative lipids had no effect on DBDS inhibition of SCl channels (Fig. 7B). Hence the binding site is sufficiently far (>1 Debye length; ~1 nm) from the lipid head groups so as not to be significantly affected by charge repulsion.

Because DBDS and DNDS pass through the pore, their molecular dimensions give clues to the size of the anion permeation pathway. The molecular cross section perpendicular to the long axis of the molecules fits into a rectangle ~10 Å x 6 Å (Fig. 1). This places a lower limit on the pore diameter of ~10 Å. Such a pore diameter is consistent with a channel that poorly discriminates between anion species but is selective among ions of different valency (9). The data suggest that the permeation pathway can only hold one DBDS molecule but can contain two DNDS molecules. If the binding sites are produced by interactions between the pore and the stilbene SOFormula groups and if the stilbene molecules are constrained to lay end-on-end within the pore then a separation of <24 Å between cis- and trans-sites would exclude a second DBDS from being in the pore. With the use of similar logic, two DNDS molecules could fit in the pore if the cis- and trans-sites are separated by more than 14 Å. This indicates that the cis- and trans-sites have a separation of 14–24 Å. The presence of permeant anions within the pore affects the dissociation kinetics of stilbene block. This property endows stilbene molecules with the potential to be powerful probes for the conduction pathway and the mechanisms for permeation of small anions.

GRANTS

This work was supported by National Health and Medical Research Council project grant 211030 and by an infrastructure grant from the Hunter Medical Research Institute. D. R. Laver was supported by an Australian Research Council Professorial Fellowship.

ACKNOWLEDGMENTS

We thank Melissa Dafo and Paul Johnson for assisting with the experiments and Dr. Renate Griffith for help in producing the molecular diagrams.

FOOTNOTES


Address for reprint requests and other correspondence: D. R. Laver, School of Biomedical Sciences and Hunter Medical Research Institute, Faculty of Health, The University of Newcastle, Callaghan, NSW 2308, Australia (e-mail: Derek.Laver{at}newcastle.edu.au)

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

REFERENCES

1. Ahern GP and Laver DR. ATP inhibition and rectification of a Ca2+-activated anion channel in sarcoplasmic reticulum of skeletal muscle. Biophys J 74: 2335–2351, 1998.[Abstract/Free Full Text]

2. Blatz AL and Magleby KL. Correcting single channel data for missed events. Biophys J 49: 967–980, 1986.[Abstract/Free Full Text]

3. Bridges RJ, Worrell RT, Frizzell RA, and Benos DJ. Stilbene disulfonate blockade of colonic secretory Cl channels in planar lipid bilayers. Am J Physiol Cell Physiol 256: C902–C912, 1989.[Abstract/Free Full Text]

4. Campbell DH. KPM, DIDS inhibition of sarcoplasmic reticulum anion and calcium transport. Ann NY Acad Sci 358: 328–331, 1980.[Medline]

5. Chung SH, Moore JB, Xia LG, Premkumar LS, and Gage PW. Characterization of single channel currents using digital signal processing techniques based on Hidden Markov models. Philos Trans R Soc Lond B Biol Sci 329: 265–285, 1990.[ISI][Medline]

6. Colquhoun D and Hawkes AG. A note on correlations in single ion channel records. Proc R Soc Lond B Biol Sci 230: 15–52, 1987.[Medline]

7. Colquhoun D and Hawkes AG. On the stochastic properties of single ion channels. Proc R Soc Lond B Biol Sci 211: 205–235, 1981.[Medline]

8. Ge N, Muise CN, Gong X, and Linsdell P. Direct comparison of the functional roles played by different transmembrane regions in the cystic fibrosis transmembrane conductance regulator chloride channel pore. J Biol Chem 279: 55283–55289, 2004.[Abstract/Free Full Text]

9. Hille B. Ionic Channels of Excitable Membranes. Sunderland, MA: Sinauer Associates, 1992.

10. Hua S and Inesi G. Lys515-Lys492 cross-linking by DIDS interferes with substrate utilization by the sarcoplasmic reticulum ATPase. Biophys J 73: 2149–2155, 1997.[Abstract/Free Full Text]

11. Kasai M. Inhibition of the anion permeability of sarcoplasmic reticulum vesicles by some stilbene derivatives. J Biochem (Tokyo) 89: 943–953, 1981.[Abstract/Free Full Text]

12. Kasai M and Kometani T. Inhibition of anion permeability of sarcoplasmic reticulum vesicles by 4-acetoamido-4'-isothiocyanostilbene-2,2'-disulfonate. Biochim Biophys Acta 557: 243–247, 1979.[Medline]

13. Knauf PA. Erythrocyte anion exchange and the band 3 protein: transport kinetics and molecular structure. Curr Top Membr Transp 12: 249–363, 1979.

14. Kourie JI. ATP-sensitive voltage- and calcium-dependent chloride channels in sarcoplasmic reticulum vesicles from rabbit skeletal muscle. J Membr Biol 157: 39–51, 1997.[CrossRef][ISI][Medline]

15. Kourie JI. A redox O2 sensor modulates the SR Ca2+ countercurrent through voltage- and Ca2+-dependent Cl channels. Am J Physiol Cell Physiol 272: C324–C332, 1997.[Abstract/Free Full Text]

16. Kourie JI, Foster PS, and Dulhunty AF. Inositol polyphosphates modify the kinetics of a small chloride channel in skeletal muscle sarcoplasmic reticulum. J Membr Biol 157: 147–158, 1997.[CrossRef][ISI][Medline]

17. Kourie JI, Laver DR, Ahern GP, and Dulhunty AF. A calcium-activated chloride channel in sarcoplasmic reticulum vesicles from rabbit skeletal muscle. Am J Physiol Cell Physiol 270: C1675–C1686, 1996.[Abstract/Free Full Text]

18. Kourie JI, Laver DR, Junankar PR, Gage PW, and Dulhunty AF. Characteristics of two types of chloride channel in sarcoplasmic reticulum vesicles from rabbit skeletal muscle. Biophys J 70: 202–221, 1996.[Abstract/Free Full Text]

19. Laver DR. Divalent cation block and competition between divalent and monovalent ions in the large conductance K+ channel from Chara australis. J Gen Physiol 100: 269–300, 1992.[Abstract/Free Full Text]

20. Laver DR, Lenz GK, and Dulhunty AF. Phosphate ion channels in sarcoplasmic reticulum of rabbit skeletal muscle. J Physiol 535: 715–728, 2001.[Abstract/Free Full Text]

21. Linsdell P. Location of a common inhibitor binding site in the cytoplasmic vestibule of the cystic fibrosis transmembrane conductance regulator chloride channel pore. J Biol Chem 280: 8945–8950, 2005.[Abstract/Free Full Text]

22. Linsdell P and Hanrahan JW. Disulphonic stilbene block of cystic fibrosis transmembrane conductance regulator Cl channels expressed in a mammalian cell line and its regulation by a critical pore residue. J Physiol 496: 687–693, 1996.[Abstract/Free Full Text]

23. Miller C and White MM. Dimeric structure of single chloride channels from Torpedo electroplax. Proc Natl Acad Sci USA 81: 2772–2775, 1984.[Abstract/Free Full Text]

24. Neyton J and Miller C. Discrete Ba2+ block as a probe of ion occupancy and pore structure in the high-conductance Ca2+-activated K+ channel. J Gen Physiol 92: 569–586, 1988.[Abstract/Free Full Text]

25. O’Neill ER, Sakowska MM, and Laver DR. Regulation of the calcium release channel from skeletal muscle by suramin and the disulfonated stilbene derivatives DIDS, DBDS, and DNDS. Biophys J 84: 1674–1689, 2003.[Abstract/Free Full Text]

26. Picollo A, Liantonio A, Didonna MP, Elia L, Camerino DC, and Pusch M. Molecular determinants of differential pore blocking of kidney ClC-K chloride channels. EMBO Rep 5: 584–589, 2004.[CrossRef][ISI][Medline]

27. Sigworth FJ and Sine SM. Data transformations for improved display and fitting of single-channel dwell time histograms. Biophys J 52: 1047–1054, 1987.[Abstract/Free Full Text]

28. Sitsapesan R. Similarities in the effects of DIDS, DBDS and suramin on cardiac ryanodine receptor function. J Membr Biol 168: 159–168, 1999.[CrossRef][ISI][Medline]

29. Woodhull AM. Ionic blockage of sodium channels in nerve. J Gen Physiol 61: 687–708, 1973.[Abstract/Free Full Text]





This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
290/6/C1666    most recent
00299.2005v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via ISI Web of Science (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Laver, D. R.
Right arrow Articles by Bradley, K. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Laver, D. R.
Right arrow Articles by Bradley, K. M.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2006 by the American Physiological Society.