Mode Switching Is the Major Mechanism of Ligand Regulation of InsP3 Receptor Calcium Release Channels

doi:10.1085/jgp.200709859

J Gen Physiol. 2007 December; 130(6): 631–645.

doi: 10.1085/jgp.200709859

PMCID: PMC2151663

Article

Mode Switching Is the Major Mechanism of Ligand Regulation of InsP₃ Receptor Calcium Release Channels

Lucian Ionescu,¹ Carl White,¹ King-Ho Cheung,¹ Jianwei Shuai,³ Ian Parker,³ John E. Pearson,⁴ J. Kevin Foskett,^1,² and Don-On Daniel Mak¹

¹Department of Physiology and ²Department of Cell and Developmental Biology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104

³Department of Neurobiology and Behavior, University of California, Irvine, CA 92697

⁴Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545

Correspondence to J. Kevin Foskett: foskett/at/mail.med.upenn.edu

Received July 18, 2007; Accepted October 22, 2007.

This article has been cited by other articles in PMC.

Abstract

The inositol 1,4,5-trisphosphate (InsP₃) receptor (InsP₃R) plays a critical role in generation of complex Ca²⁺ signals in many cell types. In patch clamp recordings of isolated nuclei from insect Sf9 cells, InsP₃R channels were consistently detected with regulation by cytoplasmic InsP₃ and free Ca²⁺ concentrations ([Ca²⁺]_i) very similar to that observed for vertebrate InsP₃R. Long channel activity durations of the Sf9-InsP₃R have now enabled identification of a novel aspect of InsP₃R gating: modal gating. Using a novel algorithm to analyze channel modal gating kinetics, InsP₃R gating can be separated into three distinct modes: a low activity mode, a fast kinetic mode, and a burst mode with channel open probability (P_o) within each mode of 0.007 ± 0.002, 0.24 ± 0.03, and 0.85 ± 0.02, respectively. Channels reside in each mode for long periods (tens of opening and closing events), and transitions between modes can be discerned with high resolution (within two channel opening and closing events). Remarkably, regulation of channel gating by [Ca²⁺]_i and [InsP₃] does not substantially alter channel P_o within a mode. Instead, [Ca²⁺]_i and [InsP₃] affect overall channel P_o primarily by changing the relative probability of the channel being in each mode, especially the high and low P_o modes. This novel observation therefore reveals modal switching as the major mechanism of physiological regulation of InsP₃R channel activity, with implications for the kinetics of Ca²⁺ release events in cells.

INTRODUCTION

Inositol 1,4,5-trisphosphate (InsP₃) is a second messenger generated together with diacylglycerol by phospholipase C activated by G protein–coupled and tyrosine kinase receptors in response to extracellular stimuli (Berridge and Irvine, 1989; Berridge, 1993). The free InsP₃ binds to its receptor (InsP₃R), a ubiquitous, ER-localized Ca²⁺ channel, activating it to release Ca²⁺ from the ER lumen to increase cytoplasmic free Ca²⁺ concentration ([Ca²⁺]_i). InsP₃-mediated [Ca²⁺]_i changes play critical roles in multiple signaling pathways and are involved in generation and regulation of multiple biological processes, including synaptic transmission, gene expression, and apoptosis. Analyses of InsP₃-mediated [Ca²⁺]_i signals in nonexcitable cells have revealed complex spatial and temporal features, providing highly regulated global as well as localized control of Ca²⁺-dependent processes (Woods et al., 1986; Petersen et al., 1991; Tregear et al., 1991; Thorn et al., 1993; Bootman et al., 2002).

Characterization of InsP₃R channel activity and its regulation is essential for molecular insights into these intricate intracellular Ca²⁺ signaling pathways. Application of the patch clamp technique to isolated nuclei (Mak and Foskett, 1994) has provided the most direct approach to study the detailed permeation and gating properties of single InsP₃R ion channels in their native ER membrane environment. The endogenous InsP₃R of cultured insect Spodoptera frugiperda (Sf9) cells shares many basic properties with Xenopus and rat InsP₃R channels studied previously, including a biphasic dependence of its activity on [Ca²⁺]_i that is critical for generation of spatially and temporally complex [Ca²⁺]_i signals in cells (Ionescu et al., 2006; Foskett et al., 2007). The InsP₃R channel activities observed in Sf9 nuclear patches last longer than the channels in the other systems before they inevitably inactivate (Boehning et al., 2001; Mak et al., 2005; Ionescu et al., 2006). The longer activity durations of Sf9 InsP₃R channels provide more event transitions for gating analyses, enabling observations of novel gating behaviors over longer time scales.

Examination of extensive current records of single Sf9 InsP₃R channels in the presence of well-controlled and constant levels of [InsP₃] and [Ca²⁺]_i revealed that the channels did not display steady-state gating behavior, but instead exhibited spontaneous changes in gating kinetics through distinct patterns of behavior, or modes. We developed a new algorithm to analyze modal gating kinetics of the channel and identified three distinct gating modes of the InsP₃R: a mode in which the channel is mostly bursting, another with fast channel gating kinetics, and one with long quiescent periods, with channel open probability P_o of 0.85, 0.24, and 0.007, respectively. Unexpectedly, the channel P_o within each mode remain relatively consistent over a wide range of [Ca²⁺]_i and [InsP₃]. Remarkably, our analysis therefore indicates that the observed biphasic [Ca²⁺]_i dependence and [InsP₃] regulation of InsP₃R channel activity are generated primarily by ligand regulation of the relative prevalence of the three gating modes.

MATERIALS AND METHODS

Sf9 Cell Culture and Nuclear Isolation

Spodoptera frugiperda (Sf9) cells (Invitrogen) were grown and maintained in SF-900II serum-free media (GIBCO BRL) in suspension culture according to the manufacturer's protocols. Each batch of cells was subcultured three to four times before being used for electrophysiology and then propagated and used for nuclear isolation for up to 7–8 wk in culture before a new lot was thawed and expanded. Nuclei were prepared for patch clamping as previously described (Ionescu et al., 2006). The nuclear preparation was added to a standard bath solution in an experimental chamber on the stage of an inverted microscope as previously described (Mak et al., 1998; Boehning et al., 2001). Isolated nuclei (5–10 μM in diameter) were distinguished from intact cells based on their unique morphology and selected for electrophysiology (Mak et al., 2005; Ionescu et al., 2006).

Data Acquisition

Nuclear patch clamping was performed as previously described (Mak et al., 1998). To maximize the duration of the observed channel activity, current recording was started as soon as seal resistance exceeded 150 MΩ. The standard pipette solution contained (in mM) 140 KCl, 10 HEPES (pH 7.3 by KOH), 0.5 Na₂ATP, 0.5 Ca²⁺ chelator, and various [Ca²⁺] and [InsP₃], as indicated. The bath solution contained (in mM) 140 KCl, 10 HEPES (pH 7.3 by KOH), 0.5 BAPTA (1,2-bis(O-aminophenoxy) ethane-N,N,N′,N′-tetraacetic acid; Molecular Probes), and 0.225 CaCl₂ (free [Ca²⁺] = 300 nM). All solutions were carefully buffered to desired free [Ca²⁺] using Ca²⁺ chelators with appropriate affinities (Mak et al., 1998), confirmed by fluorometry. All current traces used for analysis were recorded under 20 mV in room temperature. Data were acquired using an Axopatch 200B amplifier (Axon Instruments), filtered at 1 kHz, and digitized at 5 kHz with an ITC-16 interface (Instrutech) and Pulse software (HEKA Electronik).

Data Analysis

Segments of current records exhibiting current levels for a single InsP₃R channel under various ligand conditions (Table I) were idealized using QuB software (University of Buffalo) with SKM algorithm (Qin et al., 2000a,b). Channel gating kinetics and modal gating behaviors were characterized using our custom algorithm (Appendix) written using Igor Pro software (WaveMetrics). Statistical analyses were performed and figures were generated using Igor Pro software.

TABLE I

Statistics of Data Analyzed

RESULTS

Application of the nuclear patch clamp technique to nuclei isolated from cultured insect Sf9 cells provided long, uninterrupted single-channel current records of the endogenous InsP₃R in its native ER membrane environment over a wide range of concentrations of cytoplasmic ligands (InsP₃ and Ca²⁺) (Ionescu et al., 2006). With rigorous control of constant ligand and ionic conditions in the pipette and bath solutions during our experiments (Ionescu et al., 2006), we found that in all ligand conditions used, the InsP₃R exhibited apparent modal gating behaviors: it gated with steady kinetics for extensive periods (significantly longer than the mean open and closed channel durations) before gating abruptly changed into a discernibly different pattern. In experiments yielding single InsP₃R channel current records, channels were regularly observed to exhibit many such transitions through several modes of gating kinetics (Fig. 1).

Figure 1.

Single InsP₃R channel current traces showing long-term modal gating behavior. Current records were obtained with [InsP₃] = 10 μM (saturating), and [Ca²⁺]_i = (A) 100 nM, (B) 1 μM, and (C) 89 μM. A continuous (more ...)

Characterization of Modal Gating

To characterize this modal gating of the Sf9 InsP₃R channel and its regulation by [Ca²⁺]_i and [InsP₃], we examined thousands of seconds of single-channel current records that were obtained in many experiments in the presence of saturating (10 μM) and subsaturating (33 nM) [InsP₃], and subactivating (0.1 μM), optimal (1 μM), and inhibitory (89 μM) [Ca²⁺]_i (Table I). One characteristic of InsP₃R channel gating is the wide range of closed channel durations observed. The channels sometimes remained closed for extensive periods (seconds to tens of seconds) that were orders of magnitudes longer than other closing durations (~10 ms). In addition, the transitions of InsP₃R channel gating from one mode to another occurred abruptly (Fig. 1). To avoid inherent limitations of conventional modal gating analysis algorithms, we developed a novel algorithm that is able to (a) determine when modal transitions occurred with high temporal resolution, and (b) identify the gating modes of InsP₃R channels in current records of arbitrary durations without the requirement to average channel kinetic parameters like channel P_o or open or closed channel durations (Appendix).

Our modal gating analysis algorithm uses insights into InsP₃R channel gating derived from an allosteric model previously developed to quantitatively account for single InsP₃R channel gating behaviors under a wide range of [InsP₃] and [Ca²⁺]_i: that open InsP₃R channels close either via brief ligand-independent closings or via closings with durations regulated by [InsP₃] and [Ca²⁺]_i (Mak et al., 2003). Because the ligand regulation of InsP₃R channel gating is of primary interest, burst analysis was used (Magleby and Pallotta, 1983a) in the channel gating analysis to remove the majority of the brief ligand-independent channel closings so that kinetics of the ligand- dependent channel gating can be more easily discerned (Appendix and Table II therein). After burst analysis, the remaining channel openings and closings should be predominantly due to ligand-regulated channel gating. For clarity, those channel openings are referred to as bursts with durations t_b, separated by burst-terminating gaps with durations t_g.

TABLE II

Frequency of Short Channel Closings with t_c < 10 ms in Various Ligand Conditions

Based on the values of t_b and t_g of adjacent burst-gap pairs, our algorithm consistently identified three distinct gating patterns (modes) in all the InsP₃R channel current traces obtained in all [Ca²⁺]_i and [InsP₃] examined (Appendix). In the gating mode with high P_o (H mode), the channel exhibits mainly bursting behavior with only brief gaps interrupting the long bursts of channel activity (Fig. 2, A and D). In the gating mode with intermediate P_o (I mode), the InsP₃R channel gates frequently with mostly short openings and closings (Fig. 2, B and E). In the low-P_o (L) mode, the channel has long closed periods interrupted with brief, infrequent openings, so channel P_o is very low (Fig. 2, C and F).

Figure 2.

Distinct patterns of InsP₃R channel gating in each of the three modes as revealed by burst filtering. The current records were obtained in saturating 10 μM InsP₃ and [Ca²⁺]_i as tabulated. Each section consists of a set of three traces (more ...)

[Ca²⁺]_i Regulation of Modal Gating

Single Sf9 InsP₃R channel current records obtained in saturating 10 μM InsP₃ under three different [Ca²⁺]_i (0.1, 1, and 89 μM) were examined for modal gating behaviors. As observed during the basic characterization of the channel gating properties (Ionescu et al., 2006), the three [Ca²⁺]_i covered the full range of biphasic InsP₃R channel responses under saturating [InsP₃]: in [Ca²⁺]_i = 0.1 μM, the InsP₃R channel is suboptimally activated by Ca²⁺ so channel P_o is low (~0.1); in [Ca²⁺]_i = 1 μM, the channel is optimally activated by Ca²⁺ with high channel P_o (~0.6–0.8); and in [Ca²⁺]_i = 89 μM, the channel is inhibited by high [Ca²⁺]_i so that channel P_o is again low (~0.1) (Fig. 3 A). In agreement with the previous characterization, the [Ca²⁺]_i dependence of channel P_o is mainly reflected in changes in mean closed channel duration left angle bracket

t_c

over more than an order of magnitude as [Ca²⁺]_i was changed, while mean open channel duration left angle bracket

t_o

remained relatively constant in all [Ca²⁺]_i (Fig. 3 E).

Figure 3.

InsP₃R channel gating parameters observed in various [Ca²⁺]_i and [InsP₃] as tabulated (in μM). All parameters plotted were evaluated using event-based statistics (See Appendix). (A) Channel open probability P_o. (B) Channel open probability (more ...)

Examination of the gating properties of the InsP₃R channel during the periods in which the channel remained in a particular gating mode revealed that the channel P_o within each gating mode equation M6

with M standing for H, I, or L) has a distinct value 0.85 ± 0.02, 0.24 ± 0.03, and 0.007 ± 0.002 for the H, I, and L modes, respectively, that remains surprisingly consistent over all [Ca²⁺]_i examined (Fig. 3 B). Because the modal gating analysis algorithm assigns modes only by the values of t_g and t_c after burst analysis, without directly taking into account the channel P_o (Appendix), the consistency of the channel equation M7

over the various ligand concentrations strongly suggests that the gating modes detected are true representations of the gating kinetics of the channel and not an artifact of the analysis protocol.

Because the InsP₃R channel P_o within a mode ( equation M8

) exhibited relatively small [Ca²⁺]_i dependencies, [Ca²⁺]_i must regulate the overall channel P_o predominantly by regulating the fraction of time the channel spends in the different gating modes (relative prevalence π^M) (Fig. 3 C). Examination of modal kinetics revealed that π^I is comparatively [Ca²⁺]_i independent (Fig. 3 C); the frequency of the channel entering the I mode (relative modal frequency f^I) (Fig. 3 D) as well as the mean modal dwell time left angle bracket

τ^I

of the channel in the I mode (Fig. 3 J) exhibited very little [Ca²⁺]_i dependence. In contrast, both π^H and π^L showed profound ligand dependencies. In the presence of saturating 10 μM InsP₃ and optimal 1 μM [Ca²⁺]_i, the InsP₃R channel is found most of the time in the H mode with high equation M9

and in the L mode for relatively little time (Fig. 3 C), resulting in the observed high overall channel activity (Fig. 3 A). The high π^H observed is due to the channel entering the H mode more frequently (higher f^H, Fig. 3 D) and staying in that mode longer (higher left angle bracket

τ^H

, Fig. 3 J). In nonoptimal [Ca²⁺]_i (0.1 and 89 μM), the channel has low overall activity (Fig. 3 A) mainly because it enters the L mode more frequently (higher f ^L, Fig. 3 D). Unlike left angle bracket

τ^H

, which exhibits a strong [Ca²⁺]_i dependence, left angle bracket

τ^L

remains within a relatively narrow range in all [Ca²⁺]_i (Fig. 3 J). Although InsP₃R channel equation M10

stayed within a narrow range over all [Ca²⁺]_i examined, the gating kinetics within a mode are not [Ca²⁺]_i independent. The channel open, closed, burst, and gap duration distributions in the three modes equation M11

and

respectively) all exhibited statistically significant variations over the [Ca²⁺]_i range examined (Fig. 3, F– I).

[InsP₃] Regulation of Modal Gating

InsP₃R channel gating is regulated by [InsP₃] as well as by [Ca²⁺]_i. It has been established that [InsP₃] regulates InsP₃R channel gating by tuning the sensitivity of the channel to inhibition by high [Ca²⁺]_i (Mak et al., 1998, 2001; Ionescu et al., 2006). Thus, in the presence of subsaturating [InsP₃] (33 nM), the Sf9 InsP₃R channel is inhibited at a relatively low [Ca²⁺]_i so that P_o at [InsP₃] = 33 nM and [Ca²⁺]_i = 1 μM is lower than that at saturating [InsP₃] = 10 μM and [Ca²⁺]_i = 1 μM (Fig. 3 A). This reduction in channel P_o is mainly due to increases in left angle bracket

t_c

whereas

t_o

shows little dependence on [InsP₃] (Fig. 3 E). Modal analysis of InsP₃R channel current records obtained in [InsP₃] = 33 nM and [Ca²⁺]_i = 1 μM revealed that the channels in subsaturating (33 nM) [InsP₃] exhibit the same three gating modes (H, I, and L modes) with very similar equation M15

in each of the modes as compared with channels in saturating (10 μM) [InsP₃] (Fig. 3 B). Regulation of the overall channel P_o by [InsP₃] is therefore mediated by the effects of [InsP₃] on π^M, which agrees with the observation that in subsaturating [InsP₃], the channel is inhibited by lower [Ca²⁺]_i (Fig. 3 C). In 33 nM [InsP₃] and 1 μM [Ca²⁺]_i, π^I is not very different from that for the channel in saturating (10 μM) [InsP₃]. The ratio of π^H: π^L in [Ca²⁺]_i = 1 μM and [InsP₃] = 33 nM is smaller than that for a channel in the same [Ca²⁺]_i but saturating 10 μM [InsP₃], as inhibition by Ca²⁺ stabilizes the L mode relative to the H mode. Since the gating kinetic properties equation M16

and

) of the channel in each mode are significantly regulated by [Ca²⁺]_i, and InsP₃ regulates InsP₃R channel activity by altering the sensitivity of the channel to Ca²⁺ regulation, these gating kinetic properties of the channel in each mode display dependence on [InsP₃], as expected (Fig. 3, F–I).

DISCUSSION

We have here obtained long single-channel current records with robust InsP₃R channel activities over a wide range of [Ca²⁺]_i and [InsP₃] by patch clamp electrophysiology of isolated nuclei from Sf9 cells. These records have provided new insights into the gating behavior of the InsP₃R channel. InsP₃R gating is modal, with three distinct patterns of activity identified. Importantly, ligand regulation of channel activity impinges directly upon this modal gating behavior, with Ca²⁺ and InsP₃ regulating the propensity of the channel to be in each of the three stereotypic, relatively ligand-independent modes.

The InsP₃R Channel Gates in Three Modes

Based on an allosteric model that quantitatively accounted for single InsP₃R channel gating behaviors under a wide range of [InsP₃] and [Ca²⁺]_i (Mak et al., 2003), a novel algorithm was developed to determine the gating mode of the InsP₃R with high temporal resolution and little ambiguity (Appendix and Figs. 4–6 6 therein). Our modal gating analysis determined that the InsP₃R channel gates with three different gating modes, each exhibiting distinct gating kinetics (Figs. 3 and and77 in Appendix). Although our algorithm is different from conventional modal analyses, which assign gating modes based on the average of some channel kinetic parameter (Blatz and Magleby, 1986; McManus and Magleby, 1988; Delcour and Tsien, 1993; Delcour et al., 1993; Catacuzzeno et al., 1999; Saftenku et al., 2001; Popescu and Auerbach, 2003; Popescu et al., 2004), its validity was confirmed by the clear separation of the values of channel P_o within the three gating modes in all [Ca²⁺]_i examined (Fig. 3 C) despite the fact that channel P_o was not directly taken into consideration in the modal analysis algorithm.

Figure 4.

Logarithmic histogram of InsP₃R channel closing duration distribution for all experiments performed in 10 μM InsP₃ and [Ca²⁺]_i = 0.1 μM. T_gmin is the minimum burst-terminating gap duration used for burst analysis.

Figure 6.

Scheme to determine channel gating mode based on the durations of adjacent channel bursts and burst-terminating gaps. The gating mode of the channel is assigned as indicated in a graph of channel burst duration t_b vs. duration of the adjacent burst-terminating (more ...)

Figure 5.

Identification of InsP₃R channel gating modes based on channel opening and closing durations. The single InsP₃R channel current records were obtained in saturating 10 μM InsP₃, and optimal (1 μM) and nonoptimal (89 μM) [Ca²⁺ (more ...)

Figure 7.

InsP₃R channel gating parameters in various [Ca²⁺]_i and [InsP₃] evaluated using experiment-based statistics (see Appendix). The same channel gating parameters are plotted in the same panels with the same symbols and color code as in Fig. 3: (A) (more ...)

Examination of the modal transitions identified by our modal analysis algorithm revealed that spontaneous transitions from any one of the modes into the other two occurred regularly despite the fact that the channels were exposed to constant levels of [InsP₃] and [Ca²⁺]_i during each experiment. Modal gating of ion channels cannot be accounted for by simple kinetic schemes that are linearly connected (Delcour and Tsien, 1993; Zahradnikova and Zahradnik, 1996). Rather, the observed interconnectivity between modes can only be accounted for by more complex, tiered kinetic schemes in which each mode has its own independent set (tier) of connected open and closed kinetic states, and the three tiers for the three modes are completely interconnected, as previously depicted (Delcour et al., 1993; Popescu and Auerbach, 2003; Popescu and Auerbach, 2004; Popescu et al., 2004); or by kinetic schemes with a loop, as previously depicted (Zahradnikova and Zahradnik, 1996, 1999; Saftenku et al., 2001; Rosales et al., 2004). Thus, among the various kinetic models that have been proposed to account for InsP₃R-mediated Ca²⁺ signaling, the ones involving just a single explicit open channel kinetic state (for example see De Young and Keizer, 1992; Atri et al., 1993; Othmer and Tang, 1993; Bezprozvanny, 1994; Bezprozvanny and Ehrlich, 1994; Swillens et al., 1994; Dupont and Swillens, 1996; Marchant and Taylor, 1997; Hirose et al., 1998; Swillens et al., 1998; Adkins and Taylor, 1999; Swillens et al., 1999; Sneyd and Dufour, 2002; Swatton and Taylor, 2002), cannot describe the modal gating behaviors observed in this study. Only kinetic models in which the InsP₃R channel has multiple independent open-to-closed transitions (Bruno et al., 2005) (for example see Kaftan et al., 1997; Moraru et al., 1999; Dawson et al., 2003; Mak et al., 2003; Fraiman and Dawson, 2004) have the potential to account for the observed modal gating behaviors. However, since all these models were developed to account for steady-state channel gating behavior under constant [InsP₃] and [Ca²⁺]_i, they all need to be substantially expanded to describe the modal gating behaviors of the InsP₃R channel in which spontaneous transitions from one gating mode to another occurred regularly even in the presence of constant [InsP₃] and [Ca²⁺]_i. As a starting point, we present in the Appendix (and Fig. 8 therein) the simplest model that quantitatively accounts for the InsP₃R channel modal gating behaviors observed.

Figure 8.

Schematic diagram showing the simplest completely-interconnected Markov kinetic model for three distinct gating modes. Each of the three modes (L, H, and I modes) consists of one closed (C_M) and one open (O_M) kinetic states, with state transition rates (more ...)

Ligand Regulation of InsP₃R Channel Activity Is Mainly Mediated through Mode Switching

A surprising result of our modal analysis is that ligand regulation of InsP₃R channel activity (P_o), a critical aspect of regulation of InsP₃-mediated intracellular Ca²⁺ signaling, is mediated mainly by ligand regulation of the relative prevalence of the H mode vs. the L mode (Fig. 3 C). Within the range of [Ca²⁺]_i and [InsP₃] examined, all the kinetics of the I mode (relative prevalence π^I, relative frequency f^I, and mean dwell time left angle bracket

τ^I

) exhibit little [Ca²⁺]_i or [InsP₃] dependencies (Fig. 3, C, D, and J). Mode switching is not the only mechanism for ligand regulation of InsP₃R channel kinetics, because detailed gating kinetics of the channel in individual modes equation M20

and

) are also significantly regulated by [InsP₃] and [Ca²⁺]_i. We suggest that mode switching is nevertheless the most relevant mechanism of ligand regulation of InsP₃R-mediated Ca²⁺ release. InsP₃R channels are spatially localized in the ER in clusters (Mak and Foskett, 1994; Ionescu et al., 2006) with more than one active channel involved in the generation of various Ca²⁺ signaling events ranging from blips and puffs to propagating saltatory waves (Yao et al., 1995; Foskett et al., 2007). Because the opening and closing kinetics of individual channels are averaged out over the multiple active channels involved, it is the P_o of the active InsP₃R channels that directly govern the amount of Ca²⁺ released and therefore the characteristics of the Ca²⁺ signal generated. Thus, ligand-dependent mode switching, which directly impinges on the channel P_o, is the major mechanism for ligand regulation of InsP₃-mediated Ca²⁺ signals. Deeper understanding of the kinetic mechanisms responsible for modal gating behaviors of the channel will therefore provide further insights into ligand regulation of InsP₃R-mediated Ca²⁺ signaling.

Physiological Significance of InsP₃R Modal Gating

Modal gating kinetics have been observed in many different ion channels, including Cl⁻ channels (Blatz and Magleby, 1986; Catacuzzeno et al., 1999), “maxi” BK (Magleby and Pallotta, 1983a,b; McManus and Magleby, 1988; Rothberg et al., 1996), G protein–activated (Yakubovich et al., 2000) channels, NMDA (Popescu and Auerbach, 2003; Popescu et al., 2004) and nicotinic (Auerbach and Lingle, 1986; Naranjo and Brehm, 1993) receptors, N- (Delcour and Tsien, 1993; Delcour et al., 1993), P/Q- (Luvisetto et al., 2004), and L-type (Imredy and Yue, 1994) Ca²⁺ channels, to name a few. Although different channel gating modes have been associated with distinct long-term channel kinetic features, including inactivation (Imredy and Yue, 1994), desensitization (Naranjo and Brehm, 1993), ligand inhibition (Delcour and Tsien, 1993), and quantitative features of subunit modulation (Luvisetto et al., 2004), the physiological significance of modal gating is in most cases not clear. Modal gating has also been observed in ryanodine receptors (RyRs), the other major intracellular Ca²⁺ release channel with sequence homologies with InsP₃R, where it has been proposed to contribute to “adaptation” behavior of RyR in response to [Ca²⁺]_i jumps (Zahradnikova and Zahradnik, 1996; Zahradnikova et al., 1999; Fill et al., 2000; Rosales et al., 2004). However, the physiological significance of “adaptation” is also not clear, and the InsP₃R does not display similar “adaptation” behaviors in response to rapid changes in InsP₃ or Ca²⁺ concentrations (Mak et al., 2007). The results here, by demonstrating that important ligand regulation of InsP₃R channel activity impinges primarily on modal gating, provide a clear demonstration of the physiological relevance of channel modal gating.

The modal gating analysis presented here was performed on single-channel current traces from insect Sf9 InsP₃R mainly because these channels remain active for long extensive periods during nuclear patch clamp experiments (mean channel activity duration ~120 s; Ionescu et al., 2006). In retrospect, it appears that modal gating behavior was previously observed in nuclear patch-clamp records of diverse endogenous or recombinant channels from different InsP₃R isoforms (type 1 and 3) and splice variants (SII+/−) of different species (Xenopus laevis frogs and rat). Bursts of high channel activities (H mode) separated by long quiescent periods (L mode) were observed in endogenous Xenopus type 1 InsP₃R channels (Mak and Foskett, 1997; Mak et al., 1998). Single-channel current records of recombinant rat type 3 InsP₃R expressed in Xenopus oocytes presented by Mak et al. (2000, 2001) are reminiscent of the Sf9 InsP₃R channel current records exhibiting modal gating behaviors presented here (Fig. 2). Current records of recombinant rat type 1 InsP₃R channels expressed in mammalian COS-7 cells presented by Boehning et al. (2001) clearly exhibited the three gating modes. Furthermore, biphasic regulation of the relative prevalence of the H mode by Ca²⁺ paralleling the biphasic Ca²⁺ regulation of InsP₃R channel activity that is reported here was also clearly observable in the current records obtained in various [Ca²⁺]_i for different InsP₃R isoform channels from different species (Mak et al., 1998, 2001; Boehning et al., 2001). Thus, although a comprehensive study of modal gating behavior (like the one performed here for the Sf9 InsP₃R channels) was not feasible for the other InsP₃R channels because of their short channel activity durations due to channel rundown or inactivation (Mak and Foskett, 1997; Mak et al., 2000; Boehning et al., 2001), modal gating appears to have been widely observed in many different types of InsP₃R and probably plays a major role in ligand regulation of many if not all InsP₃R channels.

The important role modal gating plays in ligand regulation of InsP₃R activity indicates that besides the time scales of channel openings and closings (t_o and t_c ~ ms, Fig. 3 E), other, longer time scales in InsP₃R channel gating kinetics are likely to be relevant for the kinetics of InsP₃-mediated intracellular Ca²⁺ signaling in vivo. One such time scale is associated with the channel burst (t_b) and burst-terminating (interburst) gap (t_g) durations. Whereas most of the short channel closings are the result of ligand-independent channel gating (Mak et al., 2003; Foskett and Mak, 2004), the time scales of the bursts and gaps probably reflect the kinetics of ligand unbinding from and binding to, respectively, the channel and the associated InsP₃R conformational changes. This assumption is supported by the results of the modal gating analysis here (Appendix and Table II therein). Thus, the durations of the bursts and gaps, rather than the durations of channel opening and closing, probably provide a better measure of the kinetics of the response of the InsP₃R channel to ligand concentration changes.

A recent study of the kinetic responses of single InsP₃R channels to rapid ligand concentration changes observed that in the constant presence of saturating 10 μM InsP₃, the mean lag times to termination of InsP₃R channel activity from abrupt changes in [Ca²⁺]_i from optimal (2 μM) to subactivating (<10 nM) and/or inhibitory (300 μM) levels were 160 and 290 ms, respectively. In constant 2 μM Ca²⁺_i, the mean lag time to channel activity termination from an abrupt drop in [InsP₃] from 10 μM to 0 was 700 ms (Mak et al., 2007). In those experiments, the channels were most likely in the H mode before the activity-terminating ligand concentration change, with mean burst duration equation M22

of 200–600 ms (Fig. 3 H). The similarity between the mean channel lag times observed in rapid perfusion experiments and the mean burst duration determined here suggests that the kinetics of channel responses to changes in ligand concentrations are likely determined by how fast the channel can exit from a burst when the ligand concentration change occurs. If that is the case, then instead of a channel opening, a channel burst probably constitutes a stereotypical single-channel InsP₃R Ca²⁺-release event.

The weak dependence of channel burst duration on [Ca²⁺]_i may possibly be a mechanism by which an active InsP₃R channel can avoid being prematurely inhibited by the Ca²⁺ that it releases, because an increase of [Ca²⁺]_i from 1 μM (optimal) to 89 μM (inhibitory) only reduces the burst duration from ~500 to ~300 ms when the channel is in H mode (Fig. 3 H). Moreover, the stabilization by activating [Ca²⁺]_i of the H mode (Fig. 3 J), which has significantly longer burst durations (Fig. 3 H), may possibly play an important role in Ca²⁺-induced Ca²⁺ release. Thus, in the presence of sufficiently high [InsP₃], an increase in [Ca²⁺]_i above the resting level can encourage an InsP₃R channel to enter the H mode from the L mode. As a result, the burst duration of the channel increases from that for an L mode (~10 ms), which may not release enough Ca²⁺ to recruit nearby channels to propagate a Ca²⁺ signal (individual blips or puffs) to that of an H mode (~200 ms), which enables the InsP₃R channel to continue releasing Ca²⁺ even when the local [Ca²⁺]_i is raised to a high level. Such long channel bursts can release sufficient Ca²⁺ to recruit neighboring InsP₃Rs or InsP₃R clusters for a regenerative Ca²⁺ signal (Berridge, 1997; Ionescu et al., 2006).

In summary, we have demonstrated that the InsP₃R gates with stereotypic behaviors in three distinct modes, and that mode switching accounts for most of the ligand regulation of InsP₃R Ca²⁺ release channel. Modal switching is therefore a novel major mechanism of physiological regulation of InsP₃R channel activity, with implications for the kinetics of Ca²⁺ release events in cells.

Acknowledgments

This work is supported by National Institutes of Health grants GM074999 to D.-O.D. Mak, MH059937 to J.K. Foskett, and GM65830 to J.E. Pearson.

Olaf S. Andersen served as editor.

APPENDIX

New Algorithm Needed to Analyze Modal Gating Kinetics of InsP₃R Channels

Conventional modal gating analysis algorithms assign modes according to the value of a channel kinetic parameter, e.g., P_o, or channel opening or closing durations, averaged over current record segments either with a fixed duration (Delcour and Tsien, 1993; Delcour et al., 1993; Saftenku et al., 2001; Popescu and Auerbach, 2003; Popescu et al., 2004) or containing a fixed number of channel openings and closings (Blatz and Magleby, 1986; McManus and Magleby, 1988; Catacuzzeno et al., 1999). The InsP₃R channel exhibited closed channel durations that span several orders of magnitude (a few milliseconds to tens of seconds) in all ligand conditions examined (Fig. 1). Furthermore, the transitions between different gating patterns of the InsP₃R channel were abrupt (Fig. 1). Consequently, when short averaging segments were used in conventional algorithms, the value of the averaged parameter fluctuated wildly from segment to segment due to the small number of gating events present in each segment available for averaging, rendering separation of gating modes impossible. Conversely, using long averaging segments in conventional algorithms resulted in loss of temporal resolution and failure to capture the abrupt nature of the modal transitions. Thus, we developed a novel modal gating algorithm to determine the gating mode of the InsP₃R channel from its current record with high accuracy and high temporal resolution.

Burst Analysis of Idealized Single-Channel InsP₃R Channel Current Traces

Previous analyses of the gating kinetics of various InsP₃R channels have revealed that the regulation of channel P_o by [Ca²⁺]_i and [InsP₃] is predominantly accounted for by ligand regulation of the mean channel closed duration left angle bracket

t_c

(Mak et al., 1998, 2001; Ionescu et al., 2006). In addition, the maximum channel P_o is ~0.8, significantly <1, even under optimal ligand conditions, when the channel gates mainly with short openings (channel open duration t_o ~10 ms) separated by very brief closings (channel closed duration t_c ~1 ms). It was previously suggested that open InsP₃R channels can close either via ligand-independent or -dependent conformational transitions (Mak et al., 2003), with closures under optimal ligand conditions mediated predominantly via ligand-independent transitions. By visual inspection of current records of the Sf9 InsP₃R channel, we surmised that such ligand-independent transitions accounted for the majority of channel closings in one of the channel gating modes. To properly identify such a gating mode, we performed a burst analysis (Magleby and Pallotta, 1983a) to remove brief channel closings that probably originated from these ligand-independent transitions. Because the ligand-dependent channel closings occur more frequently under ligand conditions that engender low channel P_o, channel closed duration distributions under such conditions are more likely to reveal a clear segregation of the two populations of channel closings originating from ligand-dependent and -independent conformation transitions. The InsP₃R channel t_c distribution (Fig. 4) for all current records obtained in [Ca²⁺]_i = 0.1 μM, when P_o was low, suggested that 10 ms is a reasonable value for the minimum duration of a burst-terminating gap T_gmin (Magleby and Pallotta, 1983a). Therefore, all channel closings with t_c ≤ T_gmin = 10 ms were considered to be caused by ligand-independent channel conformation transitions, and were removed in our burst analysis as if they never occurred. Consequently, all channel closings have durations >10 ms after the burst analysis. Those channel openings that remained after burst analysis, presumably resulting from ligand-dependent transitions, are referred to as bursts with duration t_b, separated by burst-terminating gaps with duration t_g > 10 ms. Burst analysis with T_gmin = 10 ms was applied to all idealized single InsP₃R channel current records obtained in [Ca²⁺]_i = 0.1, 1, and 89 μM.

It should be noted that even when channel exhibited low P_o in 10 μM InsP₃ and 0.1 μM Ca²⁺, the duration distribution of the short channel closing events assumed to be caused by ligand-independent conformation transitions and that of the longer channel closing events supposed to be caused by ligand-dependent transitions overlap substantially (see Fig. 4). With no information about the conformation transitions other than their durations, we applied an abrupt cut-off criterion to separate the channel closing events into two populations, one (with t_c ≤ T_gmin = 10 ms) to be filtered out in our burst filtering protocol and one (with t_c > T_gmin) retained. Under the circumstances, there is no “ideal” choice of the value of T_gmin. Any choice of T_gmin will inevitably leave a population of closings with t_c just <T_gmin, which, upon visual inspection, seem long enough to be retained, and a population of closings with t_c just >T_gmin, which seem to be short enough to be filtered out. Our choice of T_gmin as indicated in Fig. 4 minimized the number of such “ambiguous” closings for channels in 10 μM InsP₃ and 0.1 μM Ca²⁺.

The incomplete segregation of the short ligand-independent channel closings and the longer, ligand-dependent ones even in 0.1 μM Ca²⁺ and 10 μM InsP₃ when channel P_o is low (Fig. 4) also means that because of the stochastic nature of channel gating, a fraction of the ligand-dependent channel closings have short durations. Consequently, they are indistinguishable from the ligand-independent ones and are removed by the burst analysis. To gauge how well the abrupt cut-off criterion (t_c < 10 ms) worked to remove only short channel closings that were due to ligand-independent transitions, the frequencies of short closing removal were evaluated under different ligand conditions. Assuming that separate independent mechanisms are responsible for generating ligand-independent and ligand-dependent channel closings, ligand-independent channel closings are only observable when the channel is not already closed by ligand-dependent mechanism(s). Ideally, if all ligand-independent closings can be identified, the frequency of ligand-independent closings (the number of such channel closings observed)/(total duration of all bursts after all such closings have been removed) should remain the same under all ligand concentrations. The frequencies of short closings removed by burst analysis of current records obtained under various ligand conditions are tabulated in Table II. Although the frequencies of removed short channel closings are not completely ligand independent, they are not very different from one another, considering the experiment-to-experiment variability. This suggests that the burst analysis using an abrupt cut-off criterion, while obviously imperfect, did remove a substantial fraction of the ligand-independent short channel closings to reveal the underlying modal channel gating kinetics with considerably longer time scales (Figs. 2 and and3)3) without filtering out too many ligand-dependent closings.

Three Modes of InsP₃R Channel Gating

After burst analysis, three distinct patterns (modes) of InsP₃R channel gating were revealed in all [Ca²⁺]_i. The channel gating kinetics in each mode were not significantly affected by the burst analysis. In the first mode, the channel has long bursts interrupted with gaps that are relatively brief (though >10 ms) so channel P_o is high (Fig. 2, A and D). In the second mode, the InsP₃R channel gates frequently with mostly short openings and closings, so channel P_o is moderate (Fig. 2, B and E). In the third mode, the channel has long closed periods interrupted with brief, infrequent openings, so channel P_o is very low. Burst analysis does not significantly affect the kinetics of this mode (Fig. 2, C and F). Based on their kinetic characteristics, we refer to the three InsP₃R channel gating patterns as the high- (H), intermediate- (I), and low- (L) activity modes, respectively.

Detection of Modal Transitions and Gating Mode Assignment

To identify with high temporal resolution changes among the gating modes of the InsP₃R channel (modal transitions), durations of channel bursts and burst-terminating gaps (t_b and t_g) in idealized, burst-analyzed single channel records were monitored. Either t_g or t_b crossing over some predefined abrupt thresholds T_g and T_b, respectively, from above or below, could signify a modal transition. Visual examination of idealized current traces (both before and after burst analysis) together with plots of t_g and t_b for all single channel current records indicated that setting T_b = 100 ms and T_g = 200 ms allowed objective detection of channel modal transitions that correlated closely with observed changes in the patterns of channel gating kinetics (Fig. 5). Because a majority of burst-terminating gaps had t_g ≤ 200 ms in all ligand conditions examined, a hysteresis requirement was implemented in the modal transition detection protocol to avoid overfragmenting the channel gating modes. Thus, a modal transition was recognized only when two or more consecutive burst-terminating gaps had t_g ≤ 200 ms following one or several consecutive gaps with t_g > 200 ms (long purple arrow in Fig. 5 B), but not when just one gap had t_g dropping below 200 ms (short pink arrows in Fig. 5 B). However, a modal transition was recognized when a single burst-terminating gap with t_g > 200 ms followed one or several consecutive gaps with t_g ≤ 200 ms (blue arrowheads in Fig. 5 B). Similarly, a majority of channel bursts had t_b ≤ 100 ms in all ligand conditions examined. Therefore, whereas a modal transition was registered when a single channel burst had t_b > 100 ms following a series of bursts with t_b ≤ 100 ms, a modal transition was only registered when two consecutive channel bursts had t_b ≤ 100 ms following a series of bursts with t_b > 100 ms.

After the modal transitions were identified, the channel was then classified as being in the I mode if t_g ≤ T_g and t_b ≤ T_b; in the H mode if t_g ≤ T_g and t_b > T_b; and in the L mode if t_g > T_g and t_b ≤ T_b (Fig. 6). Cases in which a burst-terminating gap with t_g > T_g occurred adjacent to a burst with t_b > T_b were rare and considered to be modal transitions between L and H modes occurring between the burst and the gap (Fig. 6).

Channel mode assignments in this algorithm are based on the durations of two consecutive pairs of channel bursts and gaps rather than on the values of channel parameters (t_o, t_c, or P_o) averaged over some window (containing a constant number of openings and closings or lasting a constant time). Thus the assignment has high temporal resolution. Implementation of the hysteresis requirement improves the accuracy of the mode assignment by the algorithm.

Because mode assignment is based directly on only the durations of channel bursts (t_b) and burst-terminating gaps (t_g), there is no intrinsic restriction that the channel P_o within each gating mode should remain consistent among various ligand conditions. In fact, the values of the thresholds T_g and T_b used in the modal analysis only limit the value of channel P_o in the modes to: 0 ≤ equation M23

≤ 0.33; 0 ≤ equation M24

≤ 1; and 0.33 ≤ equation M25

≤ 1. Therefore, the consistency of the values of equation M26

for the three gating modes observed for various ligand conditions validates the identification of the three modes using the modal analysis algorithm.

Evaluation of InsP₃R Channel Gating Kinetic Parameters Overall and in Individual Gating Modes

Segment(s) of single-channel InsP₃R channel current records with stable baseline current levels were selected from each of the many experiments performed under various ligand concentration conditions (Table I). Segments shorter than 5 s were not used for modal analysis because their lengths are comparable to the mean modal dwell times left angle bracket

τ^M

, which causes an artifactual bias against long modal durations. Nevertheless, durations of selected segments from one experiment (showing the gating activity of one single InsP₃R channel) varied greatly, from 5 s to >750 s, depending on the stability of the giga-ohm seal between the patch-clamp micro-pipette and the isolated membrane patch, and the duration of activity of the InsP₃R channel before inactivation or rundown. To provide proper weighing for experiments of different durations, the kinetic parameters for InsP₃R channel gating were evaluated using event-based statistics. This means that each opening (or closing) event from any experiment performed with the same set of ligand conditions was considered equivalent. Thus the mean open (or closed) duration left angle bracket

is given by

(A1)

where t_ij is the duration of the i^th of N_j opening (or closing) events in the j^th of M experiments performed in the set of ligand conditions in question (Fig. 3 E). Channel P_o (Fig. 3 A) is evaluated as the ratio of the sum of all open durations to the sum of all durations (open or closed). Similarly, the mean open (closed, burst, or gap) duration for each gating mode was evaluated by averaging with equal weight the durations of all the openings (closings, bursts, or gaps) in all the periods when the channel was determined to be in that mode by the modal analysis algorithm, regardless of which experiment the event was recorded in as long as the experiment was performed under the same set of ligand conditions (Fig. 3, F–I). Channel equation M28

was evaluated as the ratio of the sum of all open durations to the sum of all durations (open or closed) in a particular mode (Fig. 3 B). The mean modal dwell times left angle bracket

τ^M

(Fig. 3 J) were evaluated using Eq. A1 with all dwell times of the mode from any experiment (using the same ligand conditions) weighted equally.

The duration distributions for channel openings and closings in general, and the distributions within each gating mode for channel openings, closings, bursts, and gaps, were all determined to be non-Gaussian by the Jarque-Bera (Jarque and Bera, 1987) and Kolmogorov-Smirnov (Khamis, 2000) tests. Thus, nonparametric statistical analyses were used to characterize and compare the distributions. The ranges of the distributions were described in terms of the standard deviations evaluated by the random bootstrap resampling method (Efron and Tibshirani, 1993; Mooney and Duval, 1993), and statistical significance of the differences between the durations was evaluated using the two-tailed nonparametric Wilcoxon-Mann-Whitney rank-sum test (Cheung and Klotz, 1997).

Because of the large numbers of events available from extensive experimental current records for each set of ligand conditions, the standard deviations of the durations t_c, t_o, equation M29

and

are too small to be plotted in Fig. 3 (the error bars are all smaller than the symbols in the graphs). The errors in the values of channel P_o and equation M33

derived from the durations, are also too small to be plotted. According to the nonparametric Wilcoxon-Mann-Whitney rank-sum test, most kinetic quantities obtained under optimal (1 μM) Ca²⁺_i and saturating (10 μM) InsP₃ were significantly different when compared with corresponding quantities obtained under other ligand conditions, low (100 nM) Ca²⁺_i and saturating InsP₃, inhibitory (89 μM) Ca²⁺_i and saturating InsP₃, optimal Ca²⁺_i and subsaturating (33 nM) InsP₃.

Whereas event-based statistics may provide more accurate estimation of the channel gating parameters by taking into consideration the very different lengths of channel activity recorded in various experiments, the calculation gives no estimate of the experiment-to-experiment variability of the kinetic parameters. To gauge the reproducibility of the experiments, the kinetic parameters ( left angle bracket

t_c

t_o

τ^M

) were also evaluated by experiment-based statistics, so that

(A2)

where symbols are similar to those used in Eq. A1. As shown in the second half of Eq. A2, the average durations are evaluated as the mean of the mean durations from individual experiments. The channel open probabilities (P_o and equation M39

) derived by experiment-based statistics are similarly evaluated as the mean of channel open probabilities from individual experiments. More importantly, the standard deviations of these quantities derived by random bootstrap resampling provide some measure of the reproducibility of the experiments. The kinetic parameters and their standard deviations derived through experiment-based statistics are plotted in Fig. 7.

Despite the larger standard deviations of the kinetic quantities evaluated by experiment-based statistics, a comparison, using Wilcoxon-Mann-Whitney rank-sum test, of kinetic quantities obtained under optimal Ca²⁺_i and saturating InsP₃ with those obtained in other ligand conditions revealed statistically significantly difference in a majority of the quantities.

Validation of Modal Gating Analysis Algorithm

The algorithm developed to analyze channel modal gating kinetics used three parameters: the minimum burst-terminating gap duration T_gmin, the limit of channel burst duration T_b, and the limit of gap duration T_g. The values of T_gmin = 10 ms, T_b = 100 ms, and T_g = 200 ms were selected by visual inspection of single InsP₃R channel current records and dwell time histograms. To check if the conclusions of the modal analysis are dependent on the choice of these parameters, we systematically examined the effects of using different sets of parameters on the results of our modal analysis. We found that for 7 ms ≤ T_gmin ≤ 15 ms, 50 ms ≤ T_b ≤ 200 ms, and 100 ms ≤ T_g ≤ 300 ms, the modal analysis algorithm still yielded three gating modes each with a distinct value of P_o (~0.8, 0.3, and 0.01 for H, I, and L modes, respectively) that were largely independent of ligand concentrations.

Because the gating activities and modal transitions of the channel are stochastic in nature, any modal analysis algorithm based on the kinetic properties of the channel (t_o and t_c) during a current record is inherently inaccurate to some extent. For example, although most channel closings are brief when the channel is in H mode, some long closings will inevitably occur even when the channel is in H mode, causing the mode analysis algorithm to misidentify the channel as being in the I or L mode. Moreover, even though the kinetics of modal transitions are significantly slower than that of channel gating: left angle bracket

τ^M

t_o

t_c

our algorithm will not detect some brief residences of the channel in a mode, particularly because of the hysteresis requirement used. The complexity of the modal analysis algorithm precludes an analytical approach to evaluate the error rate of the algorithm, i.e., the fraction of time when the algorithm misidentifies the mode of the channel. Furthermore, there is no detectable difference among the values of channel conductance for the InsP₃R channel in the three modes (Fig. 1) so that there is no assured means to derive the mode that a channel is in from the experimental patch-clamp current record. To estimate the error rate of the modal analysis algorithm, virtual channel current records were generated by stochastic simulation (Shuai et al., 2007) from the kinetic state of an InsP₃R channel in the simplest three-mode Markov model (Fig. 8). The simple model does not fully capture all the details of the observed InsP₃R channel modal behavior, but is simple enough that all the necessary state transition rates can be directly calculated from the experimentally observed modal properties of the channel equation M47

τ^M

, π^M, and equation M49

). The virtual current records were analyzed using our modal analysis protocol. The error rate of our algorithm was estimated by comparing the results of the analysis with the known kinetic states of the channel from the simulation. The error rate of the algorithm was ~3.5% for all [Ca²⁺]_i examined (0.1, 1, and 89 μM). The error rate approximately doubled for every threefold increase in the modal transition rates (I↔H, I↔L, and L↔H rates) used in the simulation. Thus, although there must be some inherent inaccuracies in modal transition rates used in the simulation because they were based on the modal properties derived by the modal analysis algorithm, the effects of such inaccuracies on the error rates are not significant. Finally, only 3% of a virtual current record generated for a channel in the H mode only (H→I and H→L rates = 0) and <1% of virtual current records generated for channels only in the I or L modes were misidentified. Thus, our modal analysis protocol identifies the kinetic modes of an InsP₃R channel from its current record with high accuracy and high temporal resolution.

Notes

Abbreviations used in this paper: InsP₃, inositol 1,4,5-trisphosphate; InsP₃R, InsP₃ receptor.

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