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Activation gating in HCN2 channels

  • Sabine Hummert ,

    Contributed equally to this work with: Sabine Hummert, Susanne Thon

    Roles Data curation, Formal analysis, Methodology, Software, Writing – review & editing

    Affiliation Institut für Physiologie II, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena, Germany

  • Susanne Thon ,

    Contributed equally to this work with: Sabine Hummert, Susanne Thon

    Roles Data curation, Investigation, Visualization, Writing – review & editing

    Affiliation Institut für Physiologie II, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena, Germany

  • Thomas Eick,

    Roles Methodology, Writing – review & editing

    Affiliation Institut für Physiologie II, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena, Germany

  • Ralf Schmauder,

    Roles Methodology, Writing – review & editing

    Affiliation Institut für Physiologie II, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena, Germany

  • Eckhard Schulz,

    Roles Methodology, Writing – review & editing

    Affiliation Fachhochschule Schmalkalden, Fakultät Elektrotechnik, Blechhammer, Schmalkalden, Germany

  • Klaus Benndorf

    Roles Conceptualization, Funding acquisition, Methodology, Project administration, Writing – original draft, Writing – review & editing

    Affiliation Institut für Physiologie II, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena, Germany

Activation gating in HCN2 channels

  • Sabine Hummert, 
  • Susanne Thon, 
  • Thomas Eick, 
  • Ralf Schmauder, 
  • Eckhard Schulz, 
  • Klaus Benndorf


Hyperpolarization-activated cyclic nucleotide-modulated (HCN) channels control electrical rhythmicity in specialized brain and heart cells. We quantitatively analysed voltage-dependent activation of homotetrameric HCN2 channels and its modulation by the second messenger cAMP using global fits of hidden Markovian models to complex experimental data. We show that voltage-dependent activation is essentially governed by two separable voltage-dependent steps followed by voltage-independent opening of the pore. According to this model analysis, the binding of cAMP to the channels exerts multiple effects on the voltage-dependent gating: It stabilizes the open pore, reduces the total gating charge from ~8 to ~5, makes an additional closed state outside the activation pathway accessible and strongly accelerates the ON-gating but not the OFF-gating. Furthermore, the open channel has a much slower computed OFF-gating current than the closed channel, in both the absence and presence of cAMP. Together, these results provide detailed new insight into the voltage- and cAMP-induced activation gating of HCN channels.

Author summary

Hyperpolarization-activated cyclic nucleotide-modulated (HCN) channels are tetrameric voltage-controlled ion channels in the cell membrane of specialized nerve and heart cells. Their main function is to generate a so-called pacemaker current which plays a key role in the generation of electrical rhythmicity. A special messenger molecule, cAMP, synthesized within these cells at sympathetic stimulation, can bind to these channels, thereby enhancing channel opening evoked by voltage. The mechanism of this dual activation is still poorly understood. Here we quantified this duality of activation for HCN2 channels by globally fitting hidden Markovian state models to extensive sets of data. We propose that activation of this tetrameric channel requires for a full description only two voltage-dependent steps that are followed by a voltage-independent opening step of the channel pore. According to this model analysis cAMP exerts multiple effects on channel activation: It notably accelerates the charge movement of the voltage-dependent steps and reduces the number of the involved electrical charges. Furthermore, it introduces an additional closed state and stabilizes the open pore. Together, our results provide new insight into the duality of voltage- and cAMP-induced activation of HCN channels.


Hyperpolarization-activated cyclic nucleotide-modulated (HCN) [13] ion channels generate electrical rhythmicity in both specialized neuron [411] and cardiomyocytes [1215] by evoking the pacemaker current Ih (If, Iq). The primary activating stimulus for HCN channels is hyperpolarization of the plasma membrane [16, 17], as proceeding in the repolarization phase of the action potential. In addition to this primary stimulus, sympathetic activity enhances the activation of HCN channels by the second messenger cAMP, binding to the channels [1822]. The resulting increase of the pacemaker current by cAMP binding evokes an acceleration of electrical rhythmicity.

Evolutionary relationships show that HCN channels belong to the superfamily of tetrameric voltage-gated ion channels [23] in which each subunit contains in the transmembrane part a voltage sensor domain (VSD) and a pore domain. In HCN channels, a cyclic nucleotide-binding domain (CNBD) is additionally incorporated in the C-terminus [22]. In mammals four related genes have been identified to encode for the subunits HCN1 to HCN4 [17, 24]. Each of these subunits can form functional homotetrameric channels [5, 25, 26], but also functional heterotetrameric channels have been reported [2730].

The recent publication of cryo-electron microscopy structures of the HCN1 isoform at 3.5 Å resolution both in the absence and presence of cAMP [31] is a milestone on the way to further understand the work of HCN channels. The authors provide for the first time a structurally-based scenario for the duality of voltage- and cAMP-induced activation and the unusual reversed polarity of activation within the superfamily of voltage-gated channels. In the setting of a depolarized voltage sensor, three effects are supposed to stabilize the gate in a closed position: an unusually long S4 helix touching the C-linker, a special packing arrangement of the S4, S5 and S6 helices and a particular 3-α-helical HCN domain preceding S1. A hyperpolarization-driven downward motion of the S4 helix would disrupt these stabilizing effects and movement of the S6 helices would open the gate. The activating effect of cAMP-binding to the CNBD is explained by evoking a concerted rotation of cytoplasmic domains enhancing opening of the gate by promoting this disruption of stabilizing effects. A similar mechanism for the action of cyclic nucleotides, a relief of auto-inhibition, has already been proposed earlier [32]. Notably is also that the structure of the CNBD as part of whole channel is closely similar to that determined previously for isolated CNBDs of three mammalian HCN isoforms [3335].

Concerning the kinetics of voltage-gated activation, DiFrancesco [18] used a Hodgkin-Huxley type model [36] to describe native HCN channel kinetics, proposing that upon channel activation two subunits gate. In subsequent analyses on three HCN isoforms, a cyclic allosteric Monod-Wyman-Changeux (MWC) type model [37] with five closed and five open states was used to interpret experimental data, containing four independently operating voltage sensors and five allosteric closed-open isomerizations [38]. This approach allowed the authors to estimate several rate constants in the model, suggesting that movement of the voltage sensors is much faster than the allosteric closed-open isomerizations. A related model was also used to perform energetic considerations of HCN2 channels [39]. MWC models were also applied previously to other members of the superfamily of tetrameric voltage-gated channels, including Shaker channels [40] or mSlo channels [41] and Ca++ channels [42].

Progress in the understanding of voltage-dependent gating of HCN channels has been achieved by combining two types of measurement in related spHCN channels in parallel, channel activation by voltage-clamp and conformational changes of the S4 segment by fluorescence intensity [43]. When fitting their data with a related 10-state MWC model, these authors obtained a different result: The S4 motion is not fast but rate limiting for channel opening. Moreover, the results suggested that spHCN channels open after only two S4 segments have moved and that the action of the voltage sensors is not cooperative. However, spHCN channels are functionally not entirely representative for HCN channels because a pronounced slow mode shift [44] is only minor in mammalian channels [45].

In contrast to this, our previous results upon the cAMP-induced activation in homotetrameric HCN2 channels showed a pronounced and surprising type of cooperativity for the subunit action. Studying cAMP binding and activation gating in parallel by confocal patch-clamp fluorometry [46, 47], we determined by global fit strategies a full set of rate and equilibrium constants in a Markovian model related to the 10-state MWC model. This allowed us not only to consider the action of the subunits in time but also to gain insight into the sequence of affinities of the four binding steps. The result was a surprising sequence of cooperativity of positive, negative and positive for the second, third and fourth binding step, respectively [48].

At the first glance the antipode between a non-cooperative voltage-dependent gating, with the involvement of only two subunits, and the highly cooperative ligand-induced gating, with the sequence positive—negative—positive, is not implausible if taking into account that different parts of the channel govern these two processes, the transmembrane core portion presumably evokes the voltage-induced gating whereas the cytosolic CNBD evokes that ligand-induced gating. However, we previously proved for HCN2 channels a significant reciprocal relationship between voltage- and ligand-induced gating by demonstrating that not only cAMP binding enhances channel activation but also voltage-induced activation enhances cAMP binding, indicating an intimate coupling between both processes [47]. To shed more light into this dual gating, it is required to determine also for the voltage-induced gating a kinetic scheme in similar detail as determined previously for the ligand-induced gating [4850].

In this study, we globally analyze a set of multiple time courses of activation and deactivation of HCN2 channels over a wide voltage range in both the absence and presence of cAMP and we use Markovian state models to unravel the molecular operation of the channel. We show that the activation gating of HCN2 channels is evoked by two separable voltage steps followed by a voltage-independent pore opening. Furthermore, we identify specific effects of cAMP on these individual steps and we show that cAMP reduces the effective gating charge. Based on our models we calculate gating currents at different voltages and we discuss the results in the context of a structure reported for related HCN1 channels recently [31].


Time courses of the open probability

HCN2 channels were expressed in Xenopus laevis oocytes and the time courses of voltage-dependent activation and deactivation (Fig 1A) were studied in both the absence of cAMP and the presence of 10 μM cAMP, a concentration generating a saturating effect in both activated and non-activated channels [51]. In an attempt to systematically sample a wide effective voltage range for both channel activation and deactivation, we applied 27 double pulse combinations, differing by activation voltage, activation time and deactivation voltage. According to previous results [47], the activation voltages in the absence of cAMP were set to -140, -125 and -110 mV whereas in the presence of cAMP the respective voltages were -130, -100 and -90 mV (blue arrows in Fig 1B). Deactivation was measured under both conditions at -40, +20 and +80 mV (red arrows in Fig 1B).

In order to fit Markov state models to the macroscopic time courses of activation and deactivation, the macroscopic currents were transformed into time courses of open-state probability, Po [52] (see Supplementary Methods S1 Text). To gain smoother time courses of Po, currents from 5 to 18 patches were recorded for each of the 27 pulse combinations and the respective time courses were averaged. This approach provided us 27 reasonably smooth time courses of Po for both the absence and presence of cAMP (Fig 1C and 1D). These time courses were subjected to the following global fit analysis. Notably, in none of the models tested herein transitions for a slow mode shift [44] were included because in HCN2 channels these mode shifts are only small [45].

Fig 1. Multiple time courses of Po covering a wide voltage range for HCN2 channel gating.

Currents were activated by hyperpolarizing pulses to the voltage Va with the duration ta followed by depolarizing pulses to the voltage Vd to generate deactivation. (a) Representative current trace. Va = - 140 mV, ta = 4 s, Vd = -40 mV. (b) Steady-state activation in the absence of cAMP and in the presence of 10 μM cAMP. The Boltzmann curves, obtained with pulses of 4 s duration, were computed according to a previous report by equation S1 [47]. The values were: no cAMP: z = 5.15, Vh = -118.4 mV; 10 μM cAMP: z = 4.88, Vh = -97.1 mV. The blue and red arrows indicate the used values of Va and Vd, respectively. (c) Set of Po traces following 27 different double pulse protocols in the absence of cAMP. Va = -140 mV: ta = 0.3 s, 1 s, 4 s; Va = -125 mV: ta = 0.5 s, 2 s, 11 s; Va = -110 mV: ta = 1.5 s, 5 s, 15 s (n = 5–18). (d) As c but in the presence of cAMP. Va = -130 mV: ta = 0.15 s, 0.3 s, 3 s; Va = -100 mV: ta = 0.5 s, 2 s, 11 s; Va = -90 mV: ta = 1.5 s, 5 s, 15 s. In c and d Vd was -40 mV, 20 mV, 80 mV (n = 7–10).

Activation gating in the absence of cAMP is caused by two distinguishable steps

To demonstrate the adequacy of the global fit with Markov models, the 27 time courses of Po in Fig 1C were rearranged, improving visual discrimination of each individual averaged time course (Fig 2, black traces). We first fitted the allosteric model 14n proposed by Altomare and coworkers [38] containing fixed stoichiometric factors for the four gating steps (st), four voltage-dependent steps with equal gating charge z (ze), and a constant allosteric factor (f) (S1A Fig; S1 Table). Inspection of the fit by eye revealed that the model basically describes the measured time courses but had also notable deficiencies. The range of s.e.m. for each averaged trace is indicated by the shade of gray (S1B Fig). The residual sum of squares (RSS) and the normalized mean standard error (MSE*; S1 Text), used for our model ranking, were large. Five modified models of the Altomare type with between 5 and 9 parameters produced similar deficiencies.

We then systematically tested a large number of other models and used MSE* as ranking parameter. In all tested models the closed-open isomerizations were assumed to be a one-step process that is voltage independent [53] and it turned out that, as in the Altomare model, deactivation required consistently a pathway differing from that in activation, running first along the open states until the channel closes. We also tested the effects of relieving the constraints set by a fixed stoichiometric factor (st), equal gating charges in all steps of either the closed or open channel (ze) and a fixed allosteric factor (f). In all approaches we tested if the models can reach a smaller MSE* value than that reached by model 14n proposed by Altomare and coworkers. Smaller MSE* values were reached by 13 models summarized in Supplementary Table (S1 Table). Because voltage-dependent gating of HCN channels has been described repeatedly as a two-step [18, 43, 54] and even a one-step process [53] we also included Markov models with less than four voltage-dependent steps. Indeed, models with either three, two and even one voltage-dependent step were superior over the Altomare model. Furthermore, we also included in our analysis coupled dimer (CD) models which assume that a channel is open when both dimers are in an open state [54]. The overall result was that model 1n with two gating steps and none of the constraints st, ze and f (Fig 2A and 2B) superior over all others followed by the respective CD model 2n (S1 Table). Notably, these models produced a similar amount of summed gating charge z (sumz) of about 8 and 7, respectively. The fact that in model 1n two parameters were not determined, can be ignored because they belong to extremely small rates for the activation along C0→O0→O1→O2, indicating that this activation pathway is not employed. The models 3n to 14n were not further considered because the number of non-determined parameters was either too high or the fit quality was too poor or both. Together our results suggest that two subunits play a key role in channel activation, matching a previous result in related spHCN channels [43].

Fig 2. Global fit of activation and deactivation time courses in either the absence or presence of cAMP.

(a) Scheme of model 1n. (b) Fit of the 27 time courses of activation and deactivation in the absence of cAMP. (c) Scheme of model 1a. (d) Fit of the 27 time courses of activation and deactivation in the presence of 10 μM cAMP. The experimental traces and fitted curves are given in black and red color, respectively. Shades of gray indicate s.e.m. The parameters are provided by Table 1.

Also at saturating cAMP activation is governed by two distinguishable voltage-dependent steps

The 27 current traces recorded by applying double pulses in the presence of cAMP (Fig 1D) were subjected to the same type of analysis as the 27 traces without cAMP (S3 Table). A simple approach was to keep model 1n, as well as all rate constants obtained without cAMP, and to introduce the cAMP effect by modifying some of them in a reasonable way. Based on single-channel recordings Po was set to 0.99 [52]. Three fits were performed: 1.) Only the opening rates were accelerated by a factor A. 2.) Like 1. but the rates for voltage activation were additionally accelerated by the factor B. 3.) The rates for voltage activation were accelerated by a factor B, the rates for voltage deactivation were decelerated by B-1. Reasonable fits were not obtained. Then the constraints in the global fit with model 1n were considerably relieved: All rate constants of the closed-open isomerizations and all voltage-dependent rate constants at zero voltage were treated as free parameters, keeping only z1 and z2 from the fit without cAMP. Including further Po = 0.99 and detailed balance in the 1n model, this results in 10 free parameters. The result was that even with this large number of free parameters a reasonable fit was not obtained (S2 Fig).

We therefore assumed that the gating is profoundly changed by cAMP and we fitted a variety of models with one to four voltage-dependent steps without and with closed-open isomerizations at partial activation. Similar to the absence of cAMP, five models with either two, three or four gating steps (models 5a-7a, 10a, 11a) were superior over the Altomare model (model 13a). Despite this superiority these models showed a consistent deficit in describing the slow activation at moderate hyperpolarization (c.f. S1C Fig). To overcome this we tested models with an additional step from an intermediate closed state to another closed state either within or outside the activation pathway. While an additional step within the activation pathway was clearly inadequate, an additional transition C1↔C1* outside the activation pathway did improve the fit by describing the slow activation time courses at moderate hyperpolarization. When further assuming that C1↔C1* depends on voltage, the quality of the fit was further improved, resulting in the best models 1a-3a (S3 Table). As in the absence of cAMP, and as expectable, the best fits were obtained by relieving the constraints given by a fixed stoichiometric factor (st), equal gating charges in all steps of either the closed or open channel (ze) and a fixed allosteric factor (f). It is notable that the summed gating charge for all three models 1a-3a was closely similar with a value some above 5 although model 3a contained even three instead of two gating steps. This suggests that the number of gating charges does not hypercritically depend on the specific model. The models 4a to 13a were not further considered because the number of non-determined parameters was either too high or the fit quality was too poor or both. Model 1a was outstanding because the fit was best (Fig 2C and 2D) and all parameters were determined.

Attributing the effects of cAMP to specific model parameters

As outlined above the first effect of cAMP on the voltage-dependent gating is to generate accessibility to an additional closed state C1* in the activation pathway which is not accessible in the absence of cAMP. Beyond this effect, the sameness of the remaining structure of model 1a with model 1n allowed us to identify specific effects of cAMP on the individual parameters of these models. A second effect of saturating cAMP is an about 40-fold increase of E2 = k7/k8, resulting in a marked shift of the equilibrium C2-O2 to O2.

The third effect of cAMP on the voltage-dependent rate constants is more complex, affecting both the gating charges zx and the rate constants at zero voltage, kx0, in a specific way (Table 1): While z1 is kept fairly constant (0.78 versus 0.79) z2 is approximately halved (4.34 versus 7.31), resulting in a decrease of the total gating charge sumz = z1+z2 from 0.79+7.31 = 8.10 in the absence of cAMP to 0.78+4.34 = 5.12 in the presence of cAMP. The combination of facts that the data with cAMP could not be reasonably fitted with the gating charges obtained in the absence of cAMP (c.f. Fig 2) and that z1 is unchanged in the fits with the 1n and 1a model without cAMP (1n model) and with cAMP (1a model) strengthens the conclusion that cAMP has a specific effect on the second but not on the first voltage-dependent gating step. To further consolidate the effect of cAMP on z2, we also fitted model 1a, with z1 and z2 fixed to the values determined by the 1n model, resulting in a fit with 13 free parameters. Though this fit was improved with respect to using the 1n model, it did not reach the quality obtained by using model 1a with z1 and z2 being free parameters and, most importantly, all three rate constants leaving C1 were undetermined. Therefore, this fit was not further considered.

For the kx0 values, the effects of cAMP result in characteristic voltage dependencies of the 8 effective rate constants of the four voltage-dependent steps (S3 Fig). Concerning the ON-rate constants, the cAMP effects are heterogeneous: In the closed channel there is a shift to higher rates for k1 at all voltages whereas for k3 the stronger voltage dependency becomes flattened, resulting in a higher cAMP effect at depolarized potentials. Concerning the OFF-rate constants, there is nearly no cAMP effect on the first gating step, neither in the closed (k2) nor open channel (k10). In contrast, cAMP flattens the voltage dependence of k4 and k12, specifying the second gating step in the closed and open channel, respectively, thereby crossing the relationship in the absence of cAMP at -50 mV. Together, these results show that there is not only an enhanced voltage dependence of the second compared to the first gating step in the absence of cAMP, but also that cAMP predominantly decreases the voltage dependence of the second gating step by reducing z2.

Table 1. Parameters for the fits with models 1n (no cAMP) and 1a (10 μM cAMP).

Time-dependent population of states

We next considered the time-dependent population of all states for the selected models 1n and 1a (S1 Text). At full voltage-dependent activation and no cAMP, relevantly occupied states are C0, C2, and O2: C0 is slowly emptied and the equilibrium C2-O2 becomes populated accordingly, generating a Po of 0.71 (Fig 3A). At full voltage-dependent activation in the presence of cAMP, C0 is emptied rapidly to O2 along the closed states with a Po of 0.99 (Fig 3B). The buffer state C1* is practically not populated. At moderate voltage-dependent activation and no cAMP, C0 is emptied very slowly and dominates the filling of O2, but also of C2 and C1 (Fig 3C). At moderate voltage-dependent activation and in the presence of cAMP the situation differs: The slow depopulation of C0 is followed by a transient population of C1 and, subsequently, by an articulate filling of the buffer state C1* (Fig 3D). The slow emptying of C1* causes the slow activation phase typical for moderate voltage-dependent depolarization in the presence of cAMP. Deactivation from O2 runs preferentially through the other open states, generating the tail currents with their characteristic delay.

Fig 3. Effect of cAMP on the time-dependent population of states.

The time courses were computed with model 1n (no cAMP) or 1a (10 μM cAMP). (a,b) Full activation and deactivation without and with cAMP. (c,d) Moderate voltage-dependent activation and deactivation without and with cAMP.

Time-dependent probability flux densities

From the time-dependent population of states we computed the cAMP effects on the time-dependent probability flux densities for the individual steps of the models 1n and 1a. In the absence of cAMP, the probability flux density along the relevant activation pathway C0→C1→C2→O2 is slow and still incomplete after 500 ms (Fig 4, left). Notably, cAMP enlarges the peak probability flux density about 20 fold and accelerates its time course respectively. This suggests that cAMP binding facilitates the action of the voltage sensor domain. Upon deactivation, in the absence of cAMP the probability flux densities show two components, a very fast component from C2 to C1 and slow components from O2 to C0 through the other open states and from C1 to C0. In the presence of cAMP the slow component from O2 to C0, approximately mirroring the kinetics of pore closure, dominates the time course nearly alone (Fig 4, right). This is because at -130 mV the probability to be in O2 is close to unity. The kinetics of the slow component is essentially not affected by cAMP.

Fig 4. Effect of cAMP on the probability flux densities along the main pathways of activation from 0 mV to -130 mV and subsequent deactivation to -40 mV.

The time courses were computed with model 1n (no cAMP) or 1a (10 μM cAMP). The colors of the arrows in the top schemes correspond to the colors of the probability flux density time courses. The predominant effect of cAMP is to strongly accelerate the probability flux density of the activation pathway.

Computed gating currents

For a single voltage-dependent step the product of the time-dependent probability flux density, the gating charge zx and the elementary charge, e = 1.602×10−19 C, determine the gating current provided by this step. Forming these products for the four voltage-dependent steps C0 to C2 and O0 to O2 in either model 1n or 1a and summing up these products for each model results in the time course of the total gating current provided by these steps. It should be noted that the gating currents computed in this way describe only the moved charges finally acting on the pore opening but not necessarily all moved charges. The contribution of the C1-C1* transition can be ignored in the following consideration because zc is only 1.03 (Table 1) and the time course is extremely slow. Corresponding to the probability flux densities, the computed gating currents upon activation are slow in the absence of cAMP, reaching at -140 mV a peak value of ~1.5×10−18 A per channel, whereas cAMP accelerates the gating current and enlarges its amplitude at the same voltage by ~11 fold to a peak value of ~1.7×10−17 A per channel (Fig 5A).

Fig 5. Effect of cAMP on computed gating currents per channel and moved gating charges.

The gating currents per channel were computed with model 1n (no cAMP) or 1a (10 μM cAMP). The holding potential was set to 0 mV. (a) ON-gating currents at the voltages between -140 and -70 mV. The main effect of cAMP is to significantly accelerate both the rising and the decay phase of the gating current, resulting in an increase of the peak amplitude. (b) OFF-gating currents at -40 mV following voltage pulses indicated in (a) containing a fast and a slow component. Both components are decreased by cAMP. (c) Effect of cAMP on the total gating charge computed by integrating the gating currents for a voltage pulse of 1.5 s duration in the absence and presence of cAMP. The holding potential was set to 0 mV. The effect of the voltage-dependent transition C1→C1* is only minor.

Upon deactivation, the computed gating current is biphasic: The fast component is reduced by cAMP about 40 fold, due to the much lower occupancy of C2. The slow component, mirroring the time course of pore closure, has an approximately unchanged kinetics. Its amplitude is some smaller because of the smaller summed gating charge z1+z2 although O2 is more populated (Fig 5B).

Plot of the moved gating charges for a pulse of full voltage-dependent activation illustrates that cAMP reduces the number of gating charges from 8.10 to 5.12 (Table 1) but also shifts the voltage dependence of this movement to more depolarized potentials (Fig 5C), thereby enabling activation at less hyperpolarizing potentials compared to the absence of cAMP.


In this study we provide insight into the voltage-induced gating kinetics of HCN2 channels in both the absence and presence of cAMP. Our analyses are based on the models 1n and 1a for the condition ‘no cAMP’ and ‘saturating cAMP’, respectively (c.f. Fig 2). These models differ by one structural aspect: Model 1a contains an additional transition C1-C1* to include a slow activation component at moderate hyperpolarization in the presence of cAMP. This difference, however, does not hinder direct comparison of the parameters in models 1n and 1a because it can be readily assumed that model 1n also includes the C1-C1* transition but is not recruited. Our results show: (1) Voltage-evoked activation of HCN2 channels is governed by two kinetically distinguishable voltage-dependent steps. (2) In voltage-dependent activation there is pronounced cooperativity between the subunits in both the absence and presence of cAMP: The second gating step is associated with a shift of nine to five times more gating charge than the first gating step, respectively. (3) cAMP characteristically modulates the cooperativity of the two gating steps by specifically reducing the gating charge z2 of the second gating step. (4) cAMP also affects the voltage-independent closed-open isomerization C2-O2 by shifting this equilibrium to O2.

Together, this study provides quantitative information about the activation of HCN2 channels in both the absence and presence of cAMP.

Activation of HCN2 channels is governed by a two-step process

The result that two voltage-dependent steps reasonably describe activation basically matches previous results in related spHCN channels [43]. The close structural similarity between our models 1n and 1a allowed us to directly compare the cAMP effects on the parameters of the two-step models which is considered below in the context of structural results. Beyond this, our analysis enables us to compute true, otherwise not accessible, steady-state relationships and, moreover, to consider to what extent insufficiently long pulses distort measurements of the steady-state concentration-activation relationships. In the absence of cAMP usage of model 1n yields that pulses of 1 and 4 seconds duration were much too short to approximate the steady-state relationship whereas pulses of 15 seconds duration approximated the steady-state relationship reasonably (S4A Fig). In the presence of cAMP the channels gate faster and, again, voltage pulses of 15 seconds duration did not fully match the computed steady-state relationship (S4B Fig). Hence, true steady-state concentration-activation relationships would certainly require sequences of voltage pulses with durations of a minute or even longer and sufficiently long recovery intervals between the pulses. However, in inside-out patches, the only condition allowing for a control of the cytosolic cAMP concentration, this is practically impossible due to run-down phenomena typical for HCN channels [55]. Hence, model-based approaches as presented herein can provide a guess to understand channel activation when equilibrium cannot be reached in the experiments.

Gating charge and gating currents

The total gating charge z1+z2 in the presence of cAMP was 5.12 which is clearly smaller than 8.10 in the absence of cAMP (Fig 5C). At the first glance this significant reduction is surprising because the steady-state activation relationship with cAMP is apparently similarly steep to that without cAMP (c.f. Fig 1B). One should be aware, however, that in schemes of coupled steps the equilibrium of an individual step is not independent of the neighbored steps, as insightfully demonstrated previously [56]. Hence, the effect of cAMP to shift the equilibrium C2-O2 strongly to O2, must influence also the adjacent voltage-dependent gating steps.

The gating currents computed by our models 1n and 1a (c.f. Fig 5A and 5B) showed specific effects of cAMP: Upon activation, the ON-gating currents in the presence of saturating cAMP are about 11 times larger in their peak amplitude and respectively faster. Hence, cAMP has a strong accelerating effect on the speed of movement of the gating charges. The fact that the total gating charge is reduced by cAMP from ~8 to ~5 is thereby subordinate. Upon deactivation, cAMP had no major effect on the time courses of the fast and slow current component; only the amplitude of the fast component was markedly reduced which can be interpreted in the most plausible way by a stronger population of the state O2 and a corresponding lower population of C2.

When considering the question whether the gating currents as calculated herein can be measured experimentally, one has to state that they are exceptionally small in amplitude because of their general slowness, in particular the ON-gating currents in the absence of cAMP. If one assumes the best available technique to record gating currents, the cut-open oocyte technique, an optimistic estimate of 108 channels per oocyte and a resolution of 50 nA, one could only expect to get a correlate of the rapid OFF-gating current component in the absence of cAMP but not of the subsequent slower component. However, in cut open-oocytes the actual cAMP concentration cannot be fully controlled. Accordingly, this would inevitably lead to another serious technical problem: If the cAMP concentration only minimally changes during the measurement, subtraction of linear capacitive current components would become impossible. It should be noted that in related spHCN channels gating currents were indeed measured with the cut-open oocyte technique [44]. The activation gating of spHCN channels is generally faster than that in HCN2 channels. Accordingly, the gating currents in spHCN channels were complete for both the ON- and the OFF-gating after approximately 80 ms. A slow component and a dependence on cAMP has not been reported. Together, our indirect approach seems to be a helpful approach to gain insight into the gating currents produced by the slow HCN2 channels.

Mechanistic interpretations based on structural data

The recently published structure for a full HCN1 channel by cryo-electron microscopy provides detailed information about the steric relationship between the voltage-sensor domain, CNBD and the pore region [31]. Concerning the combined activation gating by hyperpolarizing voltage and cAMP the authors proposed the following scenario: At depolarization, the unusually long S4-helices extend into the cytosol and contact there part of the C-linker, stabilizing the closed gate formed by the inner part of the four S6-helices. The closed gate becomes further stabilized by a packing arrangement of S4, S5 and S6 helices of each subunit and by an HCN domain. Hyperpolarization induced activation is thought to be evoked by a downward displacement of the S4 helices, disrupting these stabilizing interactions, allowing the S6 helices to spontaneously open. The activating effect of cAMP has been attributed to local conformational changes propagating to the channel and initiating a rotation, thereby promoting opening of the inner gate.

How can our new functional results in the context with previously published functional results be related to this scenario? Because HCN channels are activated by hyperpolarizing voltage it is a priori clear that the moved VSDs, including the S4-helix, open the gate at the inner end of the S6-helices (Fig 6A). By combined measurements of ligand binding and activation gating with confocal patch-clamp fluorometry we previously identified a second effect of voltage activation, namely to enhance the binding affinity for cAMP by about three fold [47]. And, based on the result that at hyperpolarizing pulses this enhancement of the binding affinity precedes current activation, we demonstrated that this enhancement of the binding affinity is caused by a direct interaction of the VSD with the CNBD, bypassing the pore (Fig 6A).

Fig 6. Cartoons illustrating the mutual interactions between mutual stimuli.

The graphs show schematically two S6-helices forming the inner gate at their inner end, two S4-helices being the voltage sensor and the CNBD with two of the four binding sites (circles). Blue color symbolizes a cause, green and red color an activating and inhibiting effect, respectively. (a) Effects of voltage-evoked activation on binding affinity and Po. (b) Effects of cAMP binding on gating charge and ON-gating current. (c) Effects of pore opening on OFF-gating current. For further explanation see text.

If there is a direct interaction between the CNBD and the VSD it must also work in the opposite direction. Therefore, the reduction of the gating charge by cAMP observed in the present study suggests that the rotation of the CNBD pulls the VSD, with part of the charges of the S4-segments, out of the membrane into the cytosol, thereby reducing the amount of charges remaining in the electric field across the membrane and, at the same time, promoting activation (Fig 6B). The pronounced acceleration and enlargement of the ON-gating current by cAMP can be interpreted by facilitating the inward movement of the S4-helix (Fig 6B). Another result of the present study can be explained easily in this context: The open channel has a much slower OFF-gating current than the closed channel (c.f. Fig 5B), resulting from the much faster transition C2→C1 than the transitions O2→O1→O0 (c.f. Fig 4B). It is therefore likely that the open pore domain sterically hinders movement of the S4-helix in the outward direction in both the absence and presence of cAMP (Fig 6C).

To discuss the mechanism why cAMP does not change the small effective gating charge z1 of the first step but notably reduces the gating charge z2 of the second step, the most plausible and simple interpretation seems to be the following: 1.) The first gating step with z1 = ~0.8 proceeds independent of the position of the gating ring at either zero or saturating cAMP. 2.) In the absence of cAMP ~7.3 gating charges are effectively moved for full voltage-dependent activation. 3.) The first gating step is not only a prerequisite of the second gating step but also for the effect of cAMP. 4.) In the presence of saturating cAMP, the gating ring is turned such, that the number of charges in the electrical field is reduced from ~7.3 to ~4.3 by either pulling the S4 helix into the cytosol or by forming watery crevices around the VSD. 5.) The acceleration of activation at reduced effective gating charge in the presence of cAMP can be explained by a reduced intensity of the molecular interaction between the S4 helix and its environment (k3 is accelerated over the whole voltage range see S3 Fig).

To further unravel the complex temporal relationships between the two activating stimuli, it seems to be an attractive idea for future experiments to quantify extent and kinetics of the S4-movement upon channel activation by an appropriate fluorometric approach, ideally in parallel with optical recording of ligand binding.

Materials and methods

Ethics statement

The obtainments of the oocytes were done under permission of the Thüringer Landesamt für Verbraucherschutz (Reg.-Nr.: 02-037/13).

Preparation of oocytes and RNA injection

The oocytes were obtained from adult Xenopus leavis under anesthesia (0.3% 3-aminobenzoic acid ethyl ester) and injected with cRNA encoding wild type mHCN2 channels of Mus musculus (NM_008226) as described previously [52].


Currents were recorded with standard patch-clamp techniques in inside-out macropatches obtained from the oocytes expressing the channels (S1 Text).

Data analysis and computations

The global fit strategies, time-dependent population of model states, net probability flux densities and gating currents are described in S1 Text.

Experimental data are given as mean ± s.e.m. The treatment of standard errors obtained by the fits is described by equation S5 in S1 Text.

Supporting information

S1 Table. Models used to fit the data in the absence of cAMP.

Cx and Ox mean closed and open states respectively. In coupled-dimer models the allosteric step leads to the flipped state Fx. Opening appears only if both dimers are in a flipped state. This is indicated by the index CD→O. st, stoichiometric factors used; ze, gating charge z equal in all steps, f, allosteric factor used; sumz, sum of gating charges; p, number of parameters; nd p, number of parameters not determined given by a standard error >60%, RSS, residual sum of squares of all 27 traces; MSE*, normalized mean square error given by equation S7; rXa, indicates corresponding models in S3 Table. CD means coupled dimer.


S2 Table. Calculation of rate constants for models 1n (no cAMP) and 1a (10 μM cAMP).

From the fit parameters (Table 1) the rates (s-1) were determined as listed. Po,sat was set to 0.71 and 0.99 in the absence and presence of cAMP, respectively [47, 52]. *indicates rate constants used only in model 1a.


S3 Table. Models used to fit the data in the presence of cAMP. rXn, indicates corresponding models in S1 Table.

For st, ze, f, sumz, p, nd p, RSS, MSE* and CD see S1 Table. V in the models means that the step to the additional closed state C1* was assumed to depend on voltage.


S1 Fig. Global fit of 27 activation and deactivation time courses according to a model proposed by Altomare and coworkers (model 14n,13a) [38].

Experimental traces and fitted curves are given in black and red color, respectively. Shades of gray indicate s.e.m. For further explanation see text. (a) Model scheme. (b) Fit of the Po time courses in the absence of cAMP. (c) Fit of the Po time courses in the presence of cAMP.


S2 Fig. Global fit of the 27 activation and deactivation time courses in the presence of cAMP by model 1n.

(a) Structure of model 1n. (b) Fit of the same traces as in S1C Fig. All rate constants at zero mV were free parameters. The gating charges z1 and z2 were fixed to the values provided for model 1n in Table 1. Model 1n with its gating charges is inadequate to describe the traces in the presence of cAMP.


S3 Fig. Voltage dependencies of the effective rate constants in models 1n and 1a.

The rate constants were computed according to the data of Table 1 in combination with S2 Table. The rate constants of the voltage-dependent steps in the models are plotted in log-lin diagrams and these diagrams are superimposed to the respective transitions in the models.


S4 Fig. Effect of cAMP on Boltzmann relationships at different pulse durations.

The curves were computed with the models 1n and 1a for the absence and presence of 10 μM cAMP. Plotted is the open probability at the end of voltage pulses of either 1, 4 or 15 s duration as well as at true steady-state conditions.


S1 Data. Current traces used for the calculations.



We thank J. Kusch for helpful discussions and K. Schoknecht, S. Bernhardt, A. Kolchmeier and C. Ranke for excellent technical assistance.


  1. 1. Gauss R., Seifert R., and Kaupp U. B.. 1998. Molecular identification of a hyperpolarization-activated channel in sea urchin sperm. Nature 393:583–587. pmid:9634235
  2. 2. Ludwig A., Zong X., Jeglitsch M., Hofmann F., and Biel M.. 1998. A family of hyperpolarization-activated mammalian cation channels. Nature 393:587–591. pmid:9634236
  3. 3. Santoro B., Liu D. T., Yao H., Bartsch D., Kandel E. R., Siegelbaum S. A., and Tibbs G. R.. 1998. Identification of a gene encoding a hyperpolarization-activated pacemaker channel of brain. Cell 93:717–729. pmid:9630217
  4. 4. Moosmang S., Stieber J., Zong X., Biel M., Hofmann F., and Ludwig A.. 2001. Cellular expression and functional characterization of four hyperpolarization-activated pacemaker channels in cardiac and neuronal tissues. European journal of biochemistry / FEBS 268:1646–1652.
  5. 5. Santoro B., Chen S., Luthi A., Pavlidis P., Shumyatsky G. P., Tibbs G. R., and Siegelbaum S. A.. 2000. Molecular and functional heterogeneity of hyperpolarization-activated pacemaker channels in the mouse CNS. The Journal of neuroscience: the official journal of the Society for Neuroscience 20:5264–5275.
  6. 6. Chan C. S., Shigemoto R., Mercer J. N., and Surmeier D. J.. 2004. HCN2 and HCN1 channels govern the regularity of autonomous pacemaking and synaptic resetting in globus pallidus neurons. The Journal of neuroscience: the official journal of the Society for Neuroscience 24:9921–9932.
  7. 7. Banks M. I., Pearce R. A., and Smith P. H.. 1993. Hyperpolarization-activated cation current (Ih) in neurons of the medial nucleus of the trapezoid body: voltage-clamp analysis and enhancement by norepinephrine and cAMP suggest a modulatory mechanism in the auditory brain stem. Journal of neurophysiology 70:1420–1432. pmid:7506755
  8. 8. Cuttle M. F., Rusznak Z., Wong A. Y., Owens S., and Forsythe I. D.. 2001. Modulation of a presynaptic hyperpolarization-activated cationic current (I(h)) at an excitatory synaptic terminal in the rat auditory brainstem. The Journal of physiology 534:733–744. pmid:11483704
  9. 9. Ingram S. L., and Williams J. T.. 1996. Modulation of the hyperpolarization-activated current (Ih) by cyclic nucleotides in guinea-pig primary afferent neurons. The Journal of physiology 492 Pt 1):97–106.
  10. 10. Saitow F., and Konishi S.. 2000. Excitability increase induced by beta-adrenergic receptor-mediated activation of hyperpolarization-activated cation channels in rat cerebellar basket cells. Journal of neurophysiology 84:2026–2034. pmid:11024095
  11. 11. Notomi T., and Shigemoto R.. 2004. Immunohistochemical localization of Ih channel subunits, HCN1-4, in the rat brain. The Journal of comparative neurology 471:241–276. pmid:14991560
  12. 12. Brown H. F., DiFrancesco D., and Noble S. J.. 1979. How does adrenaline accelerate the heart? Nature 280:235–236. pmid:450140
  13. 13. Ludwig A., Zong X., Stieber J., Hullin R., Hofmann F., and Biel M.. 1999. Two pacemaker channels from human heart with profoundly different activation kinetics. The EMBO journal 18:2323–2329. pmid:10228147
  14. 14. Biel M., Wahl-Schott C., Michalakis S., and Zong X.. 2009. Hyperpolarization-activated cation channels: from genes to function. Physiological reviews 89:847–885. pmid:19584315
  15. 15. Gauss R., and Seifert R.. 2000. Pacemaker oscillations in heart and brain: a key role for hyperpolarization-activated cation channels. Chronobiology international 17:453–469. pmid:10908123
  16. 16. DiFrancesco D. 1986. Characterization of single pacemaker channels in cardiac sino-atrial node cells. Nature 324:470–473. pmid:2431323
  17. 17. Santoro B., and Tibbs G. R.. 1999. The HCN gene family: molecular basis of the hyperpolarization-activated pacemaker channels. Annals of the New York Academy of Sciences 868:741–764. pmid:10414361
  18. 18. DiFrancesco D. 1999. Dual allosteric modulation of pacemaker (f) channels by cAMP and voltage in rabbit SA node. The Journal of physiology 515 Pt 2):367–376.
  19. 19. Wang J., Chen S., and Siegelbaum S. A.. 2001. Regulation of hyperpolarization-activated HCN channel gating and cAMP modulation due to interactions of COOH terminus and core transmembrane regions. J Gen Physiol 118:237–250. pmid:11524455
  20. 20. Wang J., Chen S., Nolan M. F., and Siegelbaum S. A.. 2002. Activity-dependent regulation of HCN pacemaker channels by cyclic AMP: Signaling through dynamic allosteric coupling. Neuron 36:451–461. pmid:12408847
  21. 21. Robinson R. B., and Siegelbaum S. A.. 2003. Hyperpolarization-activated cation currents: from molecules to physiological function. Annual review of physiology 65:453–480. pmid:12471170
  22. 22. Craven K., and Zagotta W.. 2006. CNG and HCN channels: two peas, one pod. Annual review of physiology 68:375–401. pmid:16460277
  23. 23. Yu F. H., Yarov-Yarovoy V., Gutman G. A., and Catterall W. A.. 2005. Overview of molecular relationships in the voltage-gated ion channel superfamily. Pharmacol Rev 57:387–395. pmid:16382097
  24. 24. Kaupp U. B., and Seifert G.. 2001. Molecular Diversity of Pacemaker Ion Channels. Annual review of physiology 63:235–257. pmid:11181956
  25. 25. Ishii T. M., Takano M., and Ohmori H.. 2001. Determinants of activation kinetics in mammalian hyperpolarization-activated cation channels. The Journal of physiology 537:93–100. pmid:11711564
  26. 26. Stieber J., Stockl G., Herrmann S., Hassfurth B., and Hofmann F.. 2005. Functional expression of the human HCN3 channel. The Journal of biological chemistry 280:34635–34643. pmid:16043489
  27. 27. Chen S., Wang J., and Siegelbaum S. A.. 2001. Properties of Hyperpolarization-activated pacemaker current defined by coassembly of HCN1 and HCN2 subunits and basal modulation by cyclic nucleotide. J Gen Physiol 117:491–503. pmid:11331358
  28. 28. Ulens C., and Tytgat J.. 2001. Functional heteromerization of HCN1 and HCN2 pacemaker channels. The Journal of biological chemistry 276:6069–6072. pmid:11133998
  29. 29. Altomare C., Terragni B., Brioschi C., Milanesi R., Pagliuca C., Viscomi C., Moroni A., Baruscotti M., and DiFrancesco D.. 2003. Heteromeric HCN1-HCN4 channels: a comparison with native pacemaker channels from the rabbit sinoatrial node. The Journal of physiology 549:347–359. pmid:12702747
  30. 30. Er F., Larbig R., Ludwig A., Biel M., Hofmann F., Beuckelmann D. J., and Hoppe U. C.. 2003. Dominant-negative suppression of HCN channels markedly reduces the native pacemaker current I(f) and undermines spontaneous beating of neonatal cardiomyocytes. Circulation 107:485–489. pmid:12551875
  31. 31. Lee C. H., and MacKinnon R.. 2017. Structures of the Human HCN1 Hyperpolarization-Activated Channel. Cell 168:111–120 e111. pmid:28086084
  32. 32. Wicks N. L., Wong T., Sun J., Madden Z., and Young E. C.. 2011. Cytoplasmic cAMP-sensing domain of hyperpolarization-activated cation (HCN) channels uses two structurally distinct mechanisms to regulate voltage gating. Proceedings of the National Academy of Sciences of the United States of America 108:609–614. pmid:21187420
  33. 33. Zagotta W. N., Olivier N. B., Black K. D., Young E. C., Olson R., and Gouaux E.. 2003. Structural basis for modulation and agonist specificity of HCN pacemaker channels. Nature 425:200–205. pmid:12968185
  34. 34. Lolicato M., Nardini M., Gazzarrini S., Moller S., Bertinetti D., Herberg F. W., Bolognesi M., Martin H., Fasolini M., Bertrand J. A., Arrigoni C., Thiel G., and Moroni A.. 2011. Tetramerization dynamics of C-terminal domain underlies isoform-specific cAMP gating in hyperpolarization-activated cyclic nucleotide-gated channels. The Journal of biological chemistry 286:44811–44820. pmid:22006928
  35. 35. Xu X., Vysotskaya Z. V., Liu Q., and Zhou L.. 2010. Structural basis for the cAMP-dependent gating in the human HCN4 channel. The Journal of biological chemistry 285:37082–37091. pmid:20829353
  36. 36. Hodgkin A. L., and Huxley A. F.. 1952. A quantitative description of membrane current and its application to conduction and excitation in nerve. Bull Math Biol 52:25–71.
  37. 37. Monod J., Wyman J., and Changeux J. P.. 1965. On the Nature of Allosteric Transitions: A Plausible Model. J Mol Biol 12:88–118. pmid:14343300
  38. 38. Altomare C., Bucchi A., Camatini E., Baruscotti M., Viscomi C., Moroni A., and DiFrancesco D.. 2001. Integrated allosteric model of voltage gating of HCN channels. J Gen Physiol 117:519–532. pmid:11382803
  39. 39. Chowdhury S., and Chanda B.. 2013. Free-energy relationships in ion channels activated by voltage and ligand. J Gen Physiol 141:11–28. pmid:23250866
  40. 40. McCormack K., Joiner W. J., and Heinemann S. H.. 1994. A characterization of the activating structural rearrangements in voltage-dependent Shaker K+ channels [published erratum appears in Neuron 1994 Mar;12(3):706]. Neuron 12:301–315. pmid:8110460
  41. 41. Horrigan F. T., Cui J., and Aldrich R. W.. 1999. Allosteric voltage gating of potassium channels I. Mslo ionic currents in the absence of Ca(2+). J Gen Physiol 114:277–304. pmid:10436003
  42. 42. Marks T. N., and Jones S. W.. 1992. Calcium currents in the A7r5 smooth muscle-derived cell line. An allosteric model for calcium channel activation and dihydropyridine agonist action. J Gen Physiol 99:367–390. pmid:1316936
  43. 43. Bruening-Wright A., Elinder F., and Larsson H. P.. 2007. Kinetic relationship between the voltage sensor and the activation gate in spHCN channels. J Gen Physiol 130:71–81. pmid:17591986
  44. 44. Mannikko R., Pandey S., Larsson H. P., and Elinder F.. 2005. Hysteresis in the voltage dependence of HCN channels: conversion between two modes affects pacemaker properties. J Gen Physiol 125:305–326. pmid:15710913
  45. 45. Elinder F., Mannikko R., Pandey S., and Larsson H. P.. 2006. Mode shifts in the voltage gating of the mouse and human HCN2 and HCN4 channels. The Journal of physiology 575:417–431. pmid:16777944
  46. 46. Biskup C., Kusch J., Schulz E., Nache V., Schwede F., Lehmann F., Hagen V., and Benndorf K.. 2007. Relating ligand binding to activation gating in CNGA2 channels. Nature 446:440–443. pmid:17322905
  47. 47. Kusch J., Biskup C., Thon S., Schulz E., Nache V., Zimmer T., Schwede F., and Benndorf K.. 2010. Interdependence of receptor activation and ligand binding in HCN2 pacemaker channels. Neuron 67:75–85. pmid:20624593
  48. 48. Kusch J., Thon S., Schulz E., Biskup C., Nache V., Zimmer T., Seifert R., Schwede F., and Benndorf K.. 2012. How subunits cooperate in cAMP-induced activation of homotetrameric HCN2 channels. Nat Chem Biol 8:162–169.
  49. 49. Benndorf K., Kusch J., and Schulz E.. 2012. Probability fluxes and transition paths in a Markovian model describing complex subunit cooperativity in HCN2 channels. PLoS Comput Biol 8:e1002721. pmid:23093920
  50. 50. Benndorf K., Thon S., and Schulz E.. 2012. Unraveling subunit cooperativity in homotetrameric HCN2 channels. Biophys J 103:1860–1869. pmid:23199914
  51. 51. Thon S., Schulz E., Kusch J., and Benndorf K.. 2015. Conformational Flip of Nonactivated HCN2 Channel Subunits Evoked by Cyclic Nucleotides. Biophys J 109:2268–2276. pmid:26636938
  52. 52. Thon S., Schmauder R., and Benndorf K.. 2013. Elementary functional properties of single HCN2 channels. Biophys J 105:1581–1589. pmid:24094399
  53. 53. Chen S., Wang J., Zhou L., George M. S., and Siegelbaum S. A.. 2007. Voltage sensor movement and cAMP binding allosterically regulate an inherently voltage-independent closed-open transition in HCN channels. J Gen Physiol 129:175–188. pmid:17261842
  54. 54. Liu D. T., Tibbs G. R., Paoletti P., and Siegelbaum S. A.. 1998. Constraining ligand-binding site stoichiometry suggests that a cyclic nucleotide-gated channel is composed of two functional dimers. Neuron 21:235–248. pmid:9697867
  55. 55. DiFrancesco D., Ferroni A., Mazzanti M., and Tromba C.. 1986. Properties of the hyperpolarizing-activated current (if) in cells isolated from the rabbit sino-atrial node. The Journal of physiology 377:61–88. pmid:2432247
  56. 56. Colquhoun D. 1998. Binding, gating, affinity and efficacy: The interpretation of structure-activity relationships for agonists and of the effects of mutating receptors. British Journal of Pharmacology 125:923–947.