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Open Access Highly Accessed Research article

Dopaminergic tone regulates transient potassium current maximal conductance through a translational mechanism requiring D1Rs, cAMP/PKA, Erk and mTOR

Edmund W Rodgers1, Wulf-Dieter Krenz1, Xiaoyue Jiang3, Lingjun Li3 and Deborah J Baro12*

Author affiliations

1 Department of Biology, Georgia State University, Atlanta 30303, Georgia

2 Neuroscience Institute, Georgia State University, Atlanta 30303, Georgia

3 School of Pharmacy and Department of Chemistry, University of Wisconsin, Madison, WI 53705-2222, USA

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Citation and License

BMC Neuroscience 2013, 14:143  doi:10.1186/1471-2202-14-143

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/14/143


Received:21 June 2013
Accepted:7 November 2013
Published:13 November 2013

© 2013 Rodgers et al.; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Dopamine (DA) can produce divergent effects at different time scales. DA has opposing immediate and long-term effects on the transient potassium current (IA) within neurons of the pyloric network, in the Panulirus interruptus stomatogastric ganglion. The lateral pyloric neuron (LP) expresses type 1 DA receptors (D1Rs). A 10 min application of 5-100 μM DA decreases LP IA by producing a decrease in IA maximal conductance (Gmax) and a depolarizing shift in IA voltage dependence through a cAMP-Protein kinase A (PKA) dependent mechanism. Alternatively, a 1 hr application of DA (≥5 nM) generates a persistent (measured 4 hr after DA washout) increase in IA Gmax in the same neuron, through a mechanistic target of rapamycin (mTOR) dependent translational mechanism. We examined the dose, time and protein dependencies of the persistent DA effect.

Results

We found that disrupting normal modulatory tone decreased LP IA. Addition of 500 pM-5 nM DA to the saline for 1 hr prevented this decrease, and in the case of a 5 nM DA application, the effect was sustained for >4 hrs after DA removal. To determine if increased cAMP mediated the persistent effect of 5nM DA, we applied the cAMP analog, 8-bromo-cAMP alone or with rapamycin for 1 hr, followed by wash and TEVC. 8-bromo-cAMP induced an increase in IA Gmax, which was blocked by rapamycin. Next we tested the roles of PKA and guanine exchange factor protein activated by cAMP (ePACs) in the DA-induced persistent change in IA using the PKA specific antagonist Rp-cAMP and the ePAC specific agonist 8-pCPT-2′-O-Me-cAMP. The PKA antagonist blocked the DA induced increases in LP IA Gmax, whereas the ePAC agonist did not induce an increase in LP IA Gmax. Finally we tested whether extracellular signal regulated kinase (Erk) activity was necessary for the persistent effect by co-application of Erk antagonists PD98059 or U0126 with DA. Erk antagonism blocked the DA induced persistent increase in LP IA.

Conclusions

These data suggest that dopaminergic tone regulates ion channel density in a concentration and time dependent manner. The D1R- PKA axis, along with Erk and mTOR are necessary for the persistent increase in LP IA induced by high affinity D1Rs.

Background

Neuromodulators can produce a multitude of different effects depending on context, timescale, and concentration. DA, for example, has actions on the scale of milliseconds, during error detection [1], to minutes and hours with its effects on volitional movement and cognition [2]. In most systems, DA transmission is both tonic and phasic [3]. Using the stomatogastric nervous system (STNS, Figure 1A) in the spiny lobster, Panulirus interruptus, we recently demonstrated that these two types of transmissions can act over distinct time scales to produce opposing effects on the same cell type [4].

thumbnailFigure 1. Stomatogastric nervous system and experimental method. A. The stomatogastric nervous system (STNS) was dissected from the animal and pinned in a Sylgard dish. A petroleum jelly well was constructed around the stomatogastric ganglion (STG). There are ~30 neurons in the STG; two are drawn. Saline, with or without drugs, was superfused into the well surrounding the STG. Neurons in the commissural ganglia (COG) and esophageal ganglion provide descending modulation that remained intact until voltage-clamp. LP was identified using a combination of intra and extracellular recordings. B. Pyloric neurons spontaneously produce a triphasic rhythmic output (Control-Left Traces). The top two traces represent intracellular recordings from the lateral pyloric (LP) and pyloric dilator (PD) cells, while the bottom traces represent extracellular recordings taken from the lateral ventricular nerve (lvn) and pyloric dilator nerve (pdn). The application of 5nM DA produces no change in the LP rhythmic output (Middle Traces). Application of 5 μM DA (Right Traces), however, alters LP activity [14]. In 5 μM DA cycle frequency is increased and LP burst duration is a decreased [24].

The STNS comprises several motor networks and has long served as an ideal model system for studies of neuromodulation [5]. The pyloric circuit is a 14-neuron network located exclusively within the stomatogastric ganglion (STG, Figure 1A) that is modulated by DA [6]. The STNS dopaminergic system is well defined [7-15]. L-cells within the commissural ganglia (COGs, Figure 1A) secrete DA into the hemolymph [15]. Since the STG resides in a blood vessel and is bathed by hemolymph [5], this neurohormonal DA serves as a source of tonic DA transmission to pyloric neurons, predicted to be in the pM-nM range [5,16]. In addition, modulatory DA projection neurons in the COGs use volume transmission whereby DA is released into open synapses and diffuses to its target sites before reuptake [10]. In other systems volume transmission results in tonic nM DA in the extracellular space that can rise to μM levels near the release sites of bursting DA neurons [17-19]. DA receptors are divided into two broad classes, type 1 (D1Rs) and type 2 (D2Rs). The lobster genome contains two D1Rs and one D2R [7,8]. These receptors signal through canonical pathways in the native system [9,14] and behave exactly like their mammalian counterparts when expressed in human embryonic kidney cells [7,8].

In order to better understand the roles of tonic and phasic DA transmissions, we have examined the effects of nM vs. μM DA on identified pyloric neurons. The data suggest tonic and phasic DA have distinct roles because the two concentrations produced opposing persistent vs. immediate effects on IA, respectively [4]. The channels mediating IA are encoded by the shal (Kv4) gene in crustaceans [20-22]. IA is active at sub-threshold voltages, and helps determine the rate of post-inhibitory rebound and spike frequency in pyloric neurons [23].

There is one lateral pyloric neuron (LP) in the pyloric circuit that expresses D1Rs but not D2Rs [14]. Pyloric neurons show spontaneous, rhythmic oscillations in membrane potential and burst firing (Figure 1B). A 10 min bath application of nM DA has no immediate effect on neuronal output, but bath application of μM DA immediately alters LP activity (Figure 1B), including an increase cycle frequency, a decrease burst duration, and a phase advance mediated, in part, by decreasing LP IA[6,14,24]. The threshold for this action is ~ μM [14] and is therefore likely mediated by low affinity D1Rs. Whereas nM DA has no immediate effect, it can act at high affinity LP D1Rs to persistently alter LP IA: A 1 hr application of 5 nM DA followed by 3 hr wash produced a persistent ~25% increase in LP IA Gmax relative to controls that did not receive DA [4].

The signaling pathways that transduce DA’s immediate and persistent effects appear to be distinct. Similar to the situation in mammals [25], lobster D1Rs can couple with Gs and Gq [7,9]. The immediate decrease in LP IA was mediated by a D1R-AC-cAMP-PKA dependent pathway [14]. The pathway mediating the DA-induced persistent increase in LP IA is unknown, but it is both translation- and mTOR-dependent [4]. Several intracellular signaling pathways can modulate the activity of the serine-threonine kinase, mTOR [26-29]. The goal of this work was to understand the dose and time dependencies and the signaling proteins involved in the DA-induced, persistent increase in LP IA. Here we show that dopaminergic tone regulates IA density through the D1R-PKA axis, Erk and mTOR.

Results

The persistent effect is both time and dose dependent

We previously showed that a 1 hr application of 5 nM and 5 μM DA both produced a ~25% increase in LP IA Gmax measured 4 hr after DA washout [4]. The fact that both doses produced equivalent responses suggested that DA was acting at high affinity receptors. Here we further examined the dose dependency of the response using two DA concentrations (500 pM, 5 nM). After dissection and cell identification, a 2-5 hr process, a given concentration of DA was or was not (control) bath applied to the STG for 1 hr, and LP IA was immediately measured at the end of the application, before DA washout using two-electrode voltage clamp (TEVC) (Figure 2A). Data for each time point was normalized by the mean control value. LP IA Gmax was significantly increased in 500 pM and 5 nM, relative to control preparations (ANOVA F2,51 = 6.728, p = 0.0026; Dunnet’s post hoc 5 nM vs ctrl, p < 0.01, 500 pM vs ctrl, p < 0.05) (Figure 2B). In another series of experiments, 50 pM DA was also applied (not shown), but was not significantly different than control, and was dropped from subsequent time points. Voltage dependencies were not altered by any concentration of DA tested (ANOVA: activation, p = 0.64, inactivation, p = 0.81).

thumbnailFigure 2. IA regulation by DA is both time and dose dependent. A. Experimental design: After identification, 1 hr, 2 hr, 5 hr and 18 hr experiments were performed as diagramed. Experiments were concluded after TEVC measurement of IA. B. Each experiment was normalized by the mean for the control group and normalized measures of LP IA were plotted over time for the experiments diagramed in 2A. Data points represent normalized IA Gmax for each treatment group ± S.D. Each treatment group is independent. Asterisks indicate significant differences from control, Dunnet’s post hoc test, p < 0.05 (see text). Dashed lines indicates the within treatment trend overtime. X-axis not drawn to scale. C. In these experiments IA was measured repeatedly throughout a 1 hr DA or saline application, as diagramed. After an initial application of blocking saline, IA was measured every 20 min in the presence or absence of DA. D. For each individual experiment in 2C, the values were normalized to t = 0. Normalized means ± S.D. for each time point are shown. Asterisks represent significant differences between treatments determined by post-hoc analysis, p < 0.05.

We next examined if the effect persisted upon DA washout. Experiments were repeated for control, 500 pM and 5 nM preparations. DA or saline (control) was applied for 1 hr and then DA was washed out for 1 hr, 4 hr, or 18 hrs followed by TEVC in blocking saline (see Methods) to measure LP IA (Figure 2A). Data for each experiment were normalized by the mean for control at that time point. Control means varied less than 10% between 1 hr and 18 hr. After a 1 hr DA washout (i.e. 2 hr time point), the effect of 500 pM DA on LP IA Gmax was no longer significant, whereas the significant increase produced by 5 nM DA was sustained (ANOVA F2,15 = 6.51, p = 0.0101, Dunnet’s post hoc, 5 nM vs ctrl, p < 0.01) (Figure 2B). After a 4 hr DA washout (i.e., 5 hr time point) average LP IA Gmax decreased to control levels in the 500 pM treated preparations but remained significantly elevated in the 5 nM treated preparations compared to control (ANOVA F2,20 = 5.411, p = 0.013, Dunnet’s post hoc 5 nM vs ctrl, p < 0.01, Figure 2B). IA Gmax remains elevated out to 18 hrs after DA administration [4] (Figure 2B).

The previous experiments revealed that the persistent effect of nM DA was observable, compared to controls, by 1 hr after the start of DA administration. To examine the time course for the development of the DA mediated increase in IA we measured IA repeatedly during a 1 hr 5 nM DA or saline (control) application (Figure 2C). To more carefully examine changes over time, we normalized all the values to t = 0 (Figure 2D) (There were no differences at t = 0 between control and DA treated preparations (t-test, p = 0.19)). We then performed mixed-model repeated measures ANOVA with time as the within-subjects factor and treatment (5 nM DA vs. Control) as the between-subjects factor. There was a significant effect of treatment (F1,9 = 7.10, p = 0.026), but not of time (F2,9 = 3.05, p = 0.0975). Post hoc comparisons, with Dunn-Sidak adjustments, revealed significant differences between treatments at 60 min (p = 0.0247) (Figure 2D). By 60 min, average IA Gmax increased by ~10%, in DA-treated preparations and decreased by ~13% in control preparations.

The persistent effect is mediated by increased cAMP

Our next goal was to identify signaling molecules involved in the DA-induced, mTOR- and translation-dependent, persistent increase in LP IA. LP exclusively expresses D1Rs [14], of which there are 2 types that couple with Gs (D1αPan) or Gs & Gq (D1βPan) [7]. To first examine whether the persistent effect on LP IA was mediated by cAMP, we applied the cAMP analogue, 8-bromo-cAMP or saline (control) for 1 hr followed by a 1 hr block and TEVC to measure LP IA (Figure 3A). We used the lowest effective dose reported in this system [14]. Application of 8-bromo-cAMP significantly and persistently elevated LP IA Gmax by 40% compared to saline controls (t-test, p = 0.0034), while voltage dependence was not affected (t-test, p = 0.98.). Interestingly, the magnitude of the increase in LP IA Gmax produced by 8-Bromo-cAMP was very similar to that produced by 5 nM DA in the 2 hr experimental paradigm (5 nM mean ± S.E.M.: LP IA Gmax 3.16 ± 0.25, 8-Bromo-cAMP LP IA Gmax 3.14 ± 0.16, Figure 3B). To determine if the cAMP mediated persistent increase in LP IA depended upon mTOR, we repeated the experiments except that the mTOR antagonist, rapamycin (100 nM), was co-applied with 8-Bromo-cAMP or 5 nM DA (Figure 3A). We then compared those groups to saline alone or saline + 5 nM DA (Figure 3B). Rapamycin reduced the 5 nM DA and 8-bromo-cAMP induced increase in LP IA Gmax (ANOVA, F4,25 = 6.02, p = 0.0016, Dunnet’s Post Hoc: Ctrl vs 5nM DA, p < 0.05, Ctrl vs 8-Bromo, p < 0.05, Ctrl vs 5 nM + RAP n.s., Ctrl vs 8-Bromo + RAP, n.s.) suggesting cAMP at least partially mediates the D1R-induced persistent increase in LP IA Gmax.

thumbnailFigure 3. cAMP analogue produces an increase in IA Gmax. A. 50 μM 8-Bromo-cAMP (with or without rapamycin) was applied to an ongoing rhythm for 1 hr, followed by a 1 hr block and TEVC for IA. Rapamycin was applied 10 min prior to 8-bromo-cAMP administration. These data were compared to 2 hr control, 5 nM DA, or 5 nM DA + RAP. B. The data for each treatment group ± S.D were plotted. Asterisks indicate significant differences from control. Data was analyzed using ANOVA’s with Dunnett’s post hoc tests. 8-Bromo cAMP persistently increased IA Gmax, while Rapamycin blocks or attenuates those effects.

cAMP acts through PKA to increase IA Gmax

There are several known downstream effectors of cAMP [30], notably PKA [31], ePACs [32,33], and cyclic-nucleotide gated channels [34]. We first tested whether cAMP mediated its effects on LP IA through ePAC by employing the ePAC specific agonist, 8-pCPT-2′-O-Me-cAMP. This cAMP analogue has been used successfully to differentially activate ePAC1/2 as opposed to PKA [35] in a host of phylogenetically divergent animals, including crustaceans [36]. We applied 50 μM 8-cpt-cAMP or saline (control) for 1 hr, followed by a 1 hr wash and TEVC to measure LP IA. 8-cpt-cAMP had no effect on LP IA Gmax relative to control (t-test, p = 0.72), suggesting that the persistent effect of DA on LP IA was not mediated through ePAC activation. At present there are no effective antagonists for ePACs.

To determine if PKA mediated the D1R-induced persistent increase in LP IA Gmax, we applied the specific PKA antagonist, Rp-cAMP for 1 hr with 5 nM DA and TTX, followed by 3 hr wash and subsequent TEVC (Figure 4A). Controls received the same treatment except that DA was omitted. Tetrodotoxin (TTX) was incorporated into these experiments because bath application of PKA antagonists caused cessation of a rhythmic network output (Figure 1B). Thus, to standardize both activity and drugs across experiments, (no Rp-cAMP, Rp-cAMP, 5 nM DA and 5 nM DA + Rp-cAMP) TTX was included in all treatment groups to block rhythmic network output. Previous experiments have demonstrated that co-application of TTX with DA did not affect the DA induced persistent increase in IA Gmax[4]. Rp-cAMP blocked the DA induced persistent increase in IA Gmax (ANOVA, F3, 22 = 3.697, p = 0.027, Tukey’s post hoc, Rp-cAMP + DA vs TTX Ctrl, n.s., Rp-cAMP + DA vs TTX + DA, p < 0.05, Figure 4B).

thumbnailFigure 4. PKA antagonist Rp-cAMP blocks DA induced increase in IA Gmax. A. The specific PKA antagonist Rp-cAMP was applied in conjunction with TTX for 1 hr (with or without DA) followed by a 3 hr washout, and 1 hr block. Rp-cAMP and TTX were applied 10 min before administration of DA. B. 1 mM Rp-cAMP blocked the DA induced increase in IA Gmax, and was significantly different than TTX + DA alone, indicating that the persistent effect is dependent of PKA. Data were analyzed with ANOVAs, Tukey’s post hoc that makes all pairwise comparisons and plotted as mean ± S.D.

Erk activation is required for the DA mediated increase in IA Gmax

Erk has been shown to positively regulate mTOR activity through a number of mechanisms [28,37], and Erk signaling is necessary for mTOR mediated, forskolin (adenyl cyclase activator) induced, late-phase LTP [38]. However, depending upon the cell type, increased cAMP can activate [39] or inhibit [40] the Erk signaling pathway. To test whether Erk was involved in mediating the DA induced persistent increase in LP IA Gmax we used the indirect Erk antagonists PD98059 and U0126. Both drugs act on the mitogen-activated protein kinase kinases (MEK1/2) immediately upstream of Erk to prevent activation through phosphorylation. We co-applied either PD98059 or U0126 with or without 5 nM DA for 1 hr, followed by a 1 hr block and TEVC (Figure 5A). We compared the results of each drug to saline control and DA alone. Both drugs blocked the DA induced increase in IA: PD98059, Figure 5B, ANOVA F3,20 = 4.125, p = 0.019, Dunnet’s post hoc, ctrl vs DA, p < 0.05, ctrl vs PD98059, n.s., ctrl vs PD98059 + DA, n.s.. U0126, Figure 5C, ANOVA F3,19 = 3.133, p = 0.049, Dunnet’s post hoc ctrl vs DA, p < 0.05, ctrl vs U0126, n.s., ctrl vs U0126 + DA, n.s.. These data show that Erk activation is required for the persistent increase in IA Gmax.

thumbnailFigure 5. Erk antagonists inhibit DA induced increase in IA Gmax. A. Erk antagonists were applied with and without DA for 1 hr to an ongoing rhythm, followed by 1 hr of blocking saline and TEVC. Erk antagonists were applied 10 min prior to DA application. B. 50 μM PD98059 blocked the DA induced increase in IA Gmax. C. 50 μM U0126 also blocked the DA induced increase in IA Gmax. These data show that Erk is necessary to produce the persistent DA effect. Both data sets were analyzed by ANOVA, with Dunnet’s post hoc tests that compared each treatment group to control and plotted as mean ± S.D.

U0126 affects the time constant of inactivation

Shal (Kv4) channels mediate IA in pyloric neurons [20-22]. Shal (Kv4) proteins are well conserved across species [41]. Previous work using U0126 has shown that it interacts directly with the rat Kv4.2 channel (a mammalian A-type K channel), causing an acceleration of inactivation of the channel [42]. To determine if U0126 had a similar effect on Panulirus A-type K channels, we determined the time constants of inactivation by fitting IA inactivation with a double exponential function (Clampfit) (Figure 6A). We found that both fast and slow time constants were significantly different in the presence of U0126; the fast time constant was accelerated 40% by U0126 compared to saline, while the slow time constant was lengthened by 59%. PD98059, which also blocked the persistent effect of DA on LP IA, had no direct effect on A-channel inactivation kinetics (Fast τ, Figure 6B top panel, ANOVA F2,28 = 30.53, p < 0.0001, Tukey’s post hoc, U0126 vs Saline p < 0.0001, U0126 vs PD98059, p < 0.0001, PD98059 vs Saline, ns; Slow τ, Figure 6B bottom panel, ANOVA, F2, 28 = 25.65, p < 0.0001, Tukey’s post hoc, U0126 vs Saline p < 0.0001, U0126 vs PD98059, p < 0.0001, PD98059 vs Saline n.s., Figure 6B). This work supports the findings of Yuan et al., that the drug has an effect through direct interaction with the channel and that further, this effect may be present in many A-type K channels, given its presence in both mammals and crustaceans.

thumbnailFigure 6. U0126 alters the time constants of inactivation. A. Representative two-electrode voltage clamp IA recordings for Saline, U0126, PD98059 treatment groups. Overlaid traces are leak-subtracted currents elicited by a step to +20 mV after a -90 mV prepulse. B. Kinetics of IA inactivation were determined by fitting the +20 mV current traces with a double exponential function. The mean fast (top panel) and slow (bottom panel) time constants (τ) of inactivation were plotted ± S.D for Saline, U0126, and PD98059 treatment groups. Data from drug alone and drug with 5 nM DA samples were pooled, as both means and variance between two groups were not different (n ≥ 10 for each group). Asterisks indicate significant differences from control (saline). Both the fast and slow τ values for U0126 were significantly different than PD98059 or Saline. Saline and PD98059 were not significantly different. Data were analyzed with ANOVAs and Tukey’s post hoc tests.

Discussion

Tonic DA regulates IA in a time and dose dependent manner

We showed that dopaminergic tone influences IA density. In the absence of tonic DA, average IA Gmax decreased by 13% over the course of 1 hr. Average IA Gmax did not decrease during a 1 hr application of ≥500 pM DA, but dropped to control levels when DA was removed. Average IA Gmax increased by ~10% during a 1 hr application of 5 nM DA and the increase was sustained for at least 5 hrs after removal of DA. 5 μM DA produced the same persistent increase in LP IA Gmax[4]. We interpret the data to mean that dopaminergic tone acts at high affinity D1Rs to persistently augment LP IA density. Our findings are consistent with previous work that suggests that tonic application of modulators can regulate surface expression of ion channels [43-45].

One interpretation of these data is that dopaminergic tone increases the ratio of the rate of shal channel insertion into versus removal from the plasma membrane. Upon removal of DA, the ratio will decrease, and IA will decline according to the half-life of the channel. Since the DA-induced increase is translation-dependent, it is tempting to speculate that DA increases the pool of shal channels available for insertion. Alternatively, or in addition, it is also possible that DA might alter the subunit composition of the shal channels by incorporating different shal isoforms into the tetrameric channel [22] or by altering auxiliary subunits that interact with the alpha subunits [46], which are known to influence conductance [47]. It is also possible that DA alters levels of proteins involved in trafficking or endocytosis of shal channels. Since TEVC was always performed in the presence of TTX to block activity, we cannot rule out the possibility that decreases in activity may also contribute to changes in IA Gmax. Indeed, both neuronal activity acting through changes in Ca2+ and neuromodulators can alter cAMP levels in arthropods via the adenylyl cyclase, rutabaga [48,49].

Immediate and persistent regulation of IA both utilize cAMP-PKA axis

The immediate and persistent effects of DA that decrease and increase IA, respectively, are both mediated by a DA activated increase in cAMP and PKA activity [14]. It is unclear where the pathways diverge. LP cells express two different D1Rs: D1αPan and D1RβPan [7,14]. These distinct receptors could mediate the observed high and low affinity effects. This need not be the case. Receptors exist in multiprotein signaling complexes called signalplexes [50-52] and the same receptor could be incorporated into distinct signalplexes that generate unique cAMP signals. It has been demonstrated that agonists acting at receptors that positively couple with cAMP can simultaneously generate large, temporally complex, local signals and sustained global signals [53-56]. Compartmentilization of cAMP signaling has been demonstrated to be critical in mediating differential downstream effects of cAMP and preventing non-specific activity of cAMP effectors [30]. cAMP signals can be constrained by differential PKA compartmentalization via A Kinase anchoring proteins (AKAPs) [31] and/or by differential phosphodiesterase localization [54]. D1Rs are predominately localized to terminals in fine neurites [14]. Previous cAMP imaging studies on STG neurons showed that continuous application of modulators, including DA, initially produced a cAMP signal in the terminals that eventually spread throughout the cell [57]. Since the persistent effect is induced by continuous exposure to DA, that could result in more global changes in shal channels than the immediate effect.

PKA and ERK contribute to the persistent increase in LP IA Gmax

Erk activation is required for the persistent increase in IA Gmax. Both MEK antagonists blocked the persistent effect when co-applied with 5 nM DA. It is not clear if ERK and PKA are acting in parallel or series. The intracellular signaling pathway mediating the persistent increase in LP IA shows a remarkable overlap with many proteins involved in L-3, 4-dihydroxyphenylalanine (L-DOPA) induced dyskinesia (LID) [58-60]. Specifically, both pathways involve a D1R mediated increase in cAMP, PKA activation, increase in Erk activity, and finally mTORC1 activation. LID is attenuated by PKA [61] and mTOR antagonism [62]. Independent dual activation of cAMP/PKA axis and Erk by D1Rs has been observed in LID, where L-DOPA treated Gαolf deficient mice showed decreased PKA phosphorylation, but no change in Erk activation [63]. The Erk pathway has multiple points of interaction with proteins affecting mTOR activity [28], and based on this data, it is impossible to say which protein pathways mediate this effect. Interestingly, the neurotrophic factor Neuritin, which also increases IA (Kv4.2) in a dose and time dependent manner in mammalian neurons, requires both Erk and mTOR [64], suggesting many components of modulatory tone may act together to determine IA density.

Conclusions

DA acts at high affinity receptors to increase IA Gmax through a translation dependent mechanism that requires a functional D1R-PKA axis, Erk and mTOR.

Methods

Animals

California spiny lobsters, Panulirus interruptus, were purchased from Catalina Offshore Products (San Diego, CA) and Marinus Scientific (Long Beach, CA) and housed in saltwater aquaria at Georgia State University (Atlanta, GA). Animals were a mix of both male and females.

This research was carried out in accordance with the IACUC standards for use of animals in research at Georgia State University.

Pharmacology

All drugs were administered to the STG via superfusion. DA was administered for 1 hour in all cases. To minimize oxidation, DA was made fresh and exchanged after 30 min. Dosages of PKA antagonist Rp-cAMP (1 mM) (Sigma), and mTOR antagonist rapamycin (100 nM) (Sigma) were chosen based previously established effective doses in the STG [4,14]. The ePAC agonist (Tocris) was applied at 50 μM [36]. ErK activity was blocked by the use of MEK antagonists PD98059 (50 μM, Invivogen) and U0126 (50 μM, Tocris) based on previously shown effective dosages in the white shrimp, F. indicus[65], and dissolved in DMSO. Drugs were applied to the preparation 10 min before the application of DA.

STNS Dissection, Pyloric cell identification

Lobsters were anaesthetized on ice for at least 30 min, followed by the dissection of the STNS, as previously described [66]. The STNS was pinned in a Sylgard-lined dish. The STG was desheathed and petroleum jelly well was constructed around it. Using a Dynamax peristaltic pump (Rainin), the STG was superfused with Panulirus (P.) saline (in mM: 479 NaCl, 12.8 KCl, 13.7 CaCl2, 39 Na2SO4, 10 MgSO4, 2 Glucose, 4.99 HEPES, 5 TES; pH 7.4).

Experiments were performed at room temperature. Temperature was continuously monitored with a miniature probe in the bath. The temperature changed by less than 1°C throughout the course of the day (the change ranged from 0.1 to 0.9°C on any given day), and by only 3°C across all experiments (19-22°C).

Cells were identified using previously described standard intracellular and extracellular recording techniques. Intracellular somatic recordings (such as those seen in Figure 1B) were obtained using 20–40 MΩ glass microelectrodes filled with 3 M KCl and Axoclamp 2B or 900A amplifiers (Molecular Devices, Foster City, CA). Extracellular recordings of identified motor neurons were obtained using a differential AC amplifier (A-M Systems, Everett, WA) with stainless steel pin electrodes. LP neurons were identified by their distinct waveforms, the timing of their voltage oscillations, and correlation of spikes on the extracellular and intracellular recordings (Figure 1B).

Two-electrode voltage clamp

A portion of the stomatogastric nerve was isolated in a petroleum jelly well containing isotonic sucrose; descending inputs were removed by cutting the STN in the sucrose bath 1 hour prior to TEVC. The STG was superfused continuously with blocking saline, which consisted of P. saline containing picrotoxin (10-6 M) to block glutamatergic synaptic inputs and voltage-dependent ion channel blockers: tetrodotoxin (TTX, 100 nM, INa), tetraethylammonium (TEA, 20 mM, IK(V) and IK(Ca)), and cadmium chloride (CdCl2, 200 μM, ICa). LP cells were impaled with two low resistance microelectrodes (8–10 MΩ) filled with 3 M KCl. The holding potential was -50 mV. IA activation was measured by two different protocols, A and B. Protocol A: IA was elicited by a series of depolarizing steps (500 ms) ranging from -50 to +60 mV in 10 mV increments that were or were not preceded by a 200 ms prepulse to -90 mV to remove resting inactivation of A type K + channels. IA was obtained by digitally subtracting the current obtained without a prepulse from currents obtained with a prepulse. After digital subtraction, the peak current was converted to conductance (G = Ipeak/(Vm-Ek), plotted against voltage and fit using a 1st order Boltzmann equation to determine the voltage of half activation and maximal conductance. Protocol B: here the voltage protocol was modified to minimize the effects of repeated depolarization. This protocol was only used in the experiments shown in Figure 2D. IA activation was measured with 8 depolarizing steps that ranged from -50 mV to +20 mV, and the minimum tail current was subtracted from peak current for each sweep. Data was again fit with a 1st order Boltzmann equation to determine the voltage of half activation and maximal conductance. Steady state inactivation was measured by a series of sweeps that varied the range of the 200 ms prepulse from -110 to -20 mv in 10 mV increments followed by a constant step to 20 mV (500 ms). To further isolate IA, a depolarizing prepulse to -20 mV, followed by a test pulse to 20 mV was digitally subtracted from each inactivation trace. Peak current was plotted for each voltage and fit with a 1st order boltzmann equation to derive voltage of half inactivation.

Statistical analysis

The data were checked for normality and analyzed using parametric statistics. Data were analyzed using Prism Statistical software package (Graphpad) and SAS version 8.1 (SAS Institute Inc.). Significance threshold was set at p < 0.05 in all cases. Statistical outliers were excluded based on Chauvenet’s Criterion. Means are presented ± Standard Deviation.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

ER designed and carried out experiments, performed statistical analysis, and drafted the manuscript. WK performed experiments and analyzed data. XJ performed experiments, aided in the experimental design and data analysis. LL provided material support, aided in the design of experiments, and data interpretation. DB conceived of the study, participated in its design and coordination, and wrote and edited significant portions of the MS. All authors read and approved the final manuscript.

Acknowledgements

The authors would like to thank Tim Dever for his technical help and for care of the animals. The authors would also like to thank Dr. Ryan Earley for his help with statistical analyses. The authors would also like to thank the NIH for their funding support of this research through DA024039 to Dr. Baro and R01 DK071801 to Dr. Li.

References

  1. Schultz W: Getting formal with dopamine and reward.

    Neuron 2002, 36(2):241-263. PubMed Abstract | Publisher Full Text OpenURL

  2. Schultz W: Multiple dopamine functions at different time courses.

    Annu Rev Neurosci 2007, 30:259-288. PubMed Abstract | Publisher Full Text OpenURL

  3. Grace AA: Phasic versus tonic dopamine release and the modulation of dopamine system responsivity: a hypothesis for the etiology of schizophrenia.

    Neuroscience 1991, 41(1):1-24. PubMed Abstract | Publisher Full Text OpenURL

  4. Rodgers EW, Krenz WD, Baro DJ: Tonic dopamine induces persistent changes in the transient potassium current through translational regulation.

    J Neurosci 2011, 31(37):13046-13056. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  5. Marder E, Bucher D: Understanding circuit dynamics using the stomatogastric nervous system of lobsters and crabs.

    Ann Rev Physiol 2007, 69:291-316. Publisher Full Text OpenURL

  6. Harris-Warrick RM, Johnson BR, Peck JH, Kloppenburg P, Ayali A, Skarbinski J: Distributed effects of dopamine modulation in the crustacean pyloric network.

    Ann NY Acad Sci 1998, 860:155-167. PubMed Abstract | Publisher Full Text OpenURL

  7. Clark MC, Baro DJ: Molecular cloning and characterization of crustacean type-one dopamine receptors: D1alphaPan and D1betaPan.

    Comp Biochem Physiol B Biochem Mol Biol 2006, 143(3):294-301. PubMed Abstract | Publisher Full Text OpenURL

  8. Clark MC, Baro DJ: Arthropod D2 receptors positively couple with cAMP through the Gi/o protein family.

    Comp Biochem Physiol B Biochem Mol Biol 2007, 146(1):9-19. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  9. Clark MC, Khan R, Baro DJ: Crustacean dopamine receptors: localization and G protein coupling in the stomatogastric ganglion.

    J Neurochem 2008, 104(4):1006-1019. PubMed Abstract | Publisher Full Text OpenURL

  10. Oginsky MF, Rodgers EW, Clark MC, Simmons R, Krenz WD, Baro DJ: D(2) receptors receive paracrine neurotransmission and are consistently targeted to a subset of synaptic structures in an identified neuron of the crustacean stomatogastric nervous system.

    J Comp Neurol 2010, 518(3):255-276. PubMed Abstract | Publisher Full Text OpenURL

  11. Pulver SR, Marder E: Neuromodulatory complement of the pericardial organs in the embryonic lobster, Homarus americanus.

    J Comp Neurol 2002, 451(1):79-90. PubMed Abstract | Publisher Full Text OpenURL

  12. Pulver SR, Thirumalai V, Richards KS, Marder E: Dopamine and histamine in the developing stomatogastric system of the lobster Homarus americanus.

    J Comp Neurol 2003, 462(4):400-414. PubMed Abstract | Publisher Full Text OpenURL

  13. Tierney AJ, Kim T, Abrams R: Dopamine in crayfish and other crustaceans: distribution in the central nervous system and physiological functions.

    Microsc Res Tech 2003, 60(3):325-335. PubMed Abstract | Publisher Full Text OpenURL

  14. Zhang H, Rodgers EW, Krenz WD, Clark MC, Baro DJ: Cell specific dopamine modulation of the transient potassium current in the pyloric network by the canonical d1 receptor signal transduction cascade.

    J Neurophysiol 2010, 104(2):873-884. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  15. Sullivan RE, Friend BJ, Barker DL: Structure and function of spiny lobster ligamental nerve plexuses: evidence for synthesis, storage, and secretion of biogenic amines.

    J Neurobiol 1977, 8(6):581-605. PubMed Abstract | Publisher Full Text OpenURL

  16. Bucher D, Thirumalai V, Marder E: Axonal dopamine receptors activate peripheral spike initiation in a stomatogastric motor neuron.

    J Neurosci 2003, 23(17):6866-6875. PubMed Abstract | Publisher Full Text OpenURL

  17. Frank ST, Krumm B, Spanagel R: Cocaine-induced dopamine overflow within the nucleus accumbens measured by in vivo microdialysis: a meta-analysis.

    Synapse 2008, 62(4):243-252. PubMed Abstract | Publisher Full Text OpenURL

  18. Owesson-White CA, Roitman MF, Sombers LA, Belle AM, Keithley RB, Peele JL, Carelli RM, Wightman RM: Sources contributing to the average extracellular concentration of dopamine in the nucleus accumbens.

    J Neurochem 2012, 121(2):252-262. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  19. Park J, Takmakov P, Wightman RM: In vivo comparison of norepinephrine and dopamine release in rat brain by simultaneous measurements with fast-scan cyclic voltammetry.

    J Neurochem 2011, 119(5):932-944. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  20. Baro DJ, Cole CL, Harris-Warrick RM: RT-PCR analysis of shaker, shab, shaw, and shal gene expression in single neurons and glial cells.

    Receptors Channels 1996, 4(3):149-159. PubMed Abstract OpenURL

  21. Baro DJ, Levini RM, Kim MT, Willms AR, Lanning CC, Rodriguez HE, Harris-Warrick RM: Quantitative single-cell-reverse transcription-PCR demonstrates that A-current magnitude varies as a linear function of shal gene expression in identified stomatogastric neurons.

    J Neurosci 1997, 17(17):6597-6610. PubMed Abstract | Publisher Full Text OpenURL

  22. Baro DJ, Quinones L, Lanning CC, Harris-Warrick RM, Ruiz M: Alternate splicing of the shal gene and the origin of I(A) diversity among neurons in a dynamic motor network.

    Neuroscience 2001, 106(2):419-432. PubMed Abstract | Publisher Full Text OpenURL

  23. Tierney AJ, Harris-Warrick RM: Physiological role of the transient potassium current in the pyloric circuit of the lobster stomatogastric ganglion.

    J Neurophysiol 1992, 67(3):599-609. PubMed Abstract | Publisher Full Text OpenURL

  24. Rodgers EW, Fu JJ, Krenz WD, Baro DJ: Tonic nanomolar dopamine enables an activity-dependent phase recovery mechanism that persistently alters the maximal conductance of the hyperpolarization-activated current in a rhythmically active neuron.

    J Neurosci 2011, 31(45):16387-16397. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  25. Beaulieu JM, Gainetdinov RR: The physiology, signaling, and pharmacology of dopamine receptors.

    Pharmacol Rev 2011, 63(1):182-217. PubMed Abstract | Publisher Full Text OpenURL

  26. Hoeffer CA, Klann E: mTOR signaling: at the crossroads of plasticity, memory and disease.

    Trends Neurosci 2010, 33(2):67-75. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  27. Laplante M, Sabatini DM: mTOR signaling at a glance.

    J Cell Sci 2009, 122(Pt 20):3589-3594. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  28. Mendoza MC, Er EE, Blenis J: The Ras-ERK and PI3K-mTOR pathways: cross-talk and compensation.

    Trends biochem 2011, 36(6):320-328. Publisher Full Text OpenURL

  29. Proud CG: Cell signaling. mTOR, unleashed.

    Science 2007, 318(5852):926-927. PubMed Abstract | Publisher Full Text OpenURL

  30. Edwards HV, Christian F, Baillie GS: cAMP: novel concepts in compartmentalised signalling.

    Semin Cell Dev Biol 2012, 23(2):181-190. PubMed Abstract | Publisher Full Text OpenURL

  31. Pidoux G, Tasken K: Specificity and spatial dynamics of protein kinase A signaling organized by A-kinase-anchoring proteins.

    J Mol Endocrinol 2010, 44(5):271-284. PubMed Abstract | Publisher Full Text OpenURL

  32. Bos JL: Epac proteins: multi-purpose cAMP targets.

    Trends biochem 2006, 31(12):680-686. Publisher Full Text OpenURL

  33. Breckler M, Berthouze M, Laurent AC, Crozatier B, Morel E, Lezoualc’h F: Rap-linked cAMP signaling Epac proteins: compartmentation, functioning and disease implications.

    Cell Signal 2011, 23(8):1257-1266. PubMed Abstract | Publisher Full Text OpenURL

  34. Biel M: Cyclic nucleotide-regulated cation channels.

    J Biol Chem 2009, 284(14):9017-9021. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  35. Enserink JM, Christensen AE, de Rooij J, van Triest M, Schwede F, Genieser HG, Doskeland SO, Blank JL, Bos JL: A novel Epac-specific cAMP analogue demonstrates independent regulation of Rap1 and ERK.

    Nature Cell Biol 2002, 4(11):901-906. PubMed Abstract | Publisher Full Text OpenURL

  36. Zhong N, Zucker RS: cAMP acts on exchange protein activated by cAMP/cAMP-regulated guanine nucleotide exchange protein to regulate transmitter release at the crayfish neuromuscular junction.

    J Neurosci 2005, 25(1):208-214. PubMed Abstract | Publisher Full Text OpenURL

  37. Carriere A, Cargnello M, Julien LA, Gao H, Bonneil E, Thibault P, Roux PP: Oncogenic MAPK signaling stimulates mTORC1 activity by promoting RSK-mediated raptor phosphorylation.

    Curr Biol 2008, 18(17):1269-1277. PubMed Abstract | Publisher Full Text OpenURL

  38. Gobert D, Topolnik L, Azzi M, Huang L, Badeaux F, Desgroseillers L, Sossin WS, Lacaille JC: Forskolin induction of late-LTP and up-regulation of 5′ TOP mRNAs translation via mTOR, ERK, and PI3K in hippocampal pyramidal cells.

    J Neurochem 2008, 106(3):1160-1174. PubMed Abstract | Publisher Full Text OpenURL

  39. Busca R, Abbe P, Mantoux F, Aberdam E, Peyssonnaux C, Eychene A, Ortonne JP, Ballotti R: Ras mediates the cAMP-dependent activation of extracellular signal-regulated kinases (ERKs) in melanocytes.

    EMBO J 2000, 19(12):2900-2910. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  40. Wang L, Liu F, Adamo ML: Cyclic AMP inhibits extracellular signal-regulated kinase and phosphatidylinositol 3-kinase/Akt pathways by inhibiting Rap1.

    J Biol Chem 2001, 276(40):37242-37249. PubMed Abstract | Publisher Full Text OpenURL

  41. Wei A, Covarrubias M, Butler A, Baker K, Pak M, Salkoff L: K + current diversity is produced by an extended gene family conserved in Drosophila and mouse.

    Science 1990, 248(4955):599-603. PubMed Abstract | Publisher Full Text OpenURL

  42. Yuan LL, Chen X, Kunjilwar K, Pfaffinger P, Johnston D: Acceleration of K + channel inactivation by MEK inhibitor U0126.

    Am J Physiol Cell Physiol 2006, 290(1):C165-C171. PubMed Abstract | Publisher Full Text OpenURL

  43. Khorkova O, Golowasch J: Neuromodulators, not activity, control coordinated expression of ionic currents.

    J Neurosci 2007, 27(32):8709-8718. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  44. Temporal S, Desai M, Khorkova O, Varghese G, Dai A, Schulz DJ, Golowasch J: Neuromodulation independently determines correlated channel expression and conductance levels in motor neurons of the stomatogastric ganglion.

    J Neurophysiol 2012, 107(2):718-727. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  45. Sun X, Milovanovic M, Zhao Y, Wolf ME: Acute and chronic dopamine receptor stimulation modulates AMPA receptor trafficking in nucleus accumbens neurons cocultured with prefrontal cortex neurons.

    J Neurosci 2008, 28(16):4216-4230. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  46. Shibata R, Misonou H, Campomanes CR, Anderson AE, Schrader LA, Doliveira LC, Carroll KI, Sweatt JD, Rhodes KJ, Trimmer JS: A fundamental role for KChIPs in determining the molecular properties and trafficking of Kv4.2 potassium channels.

    J Biol Chem 2003, 278(38):36445-36454. PubMed Abstract | Publisher Full Text OpenURL

  47. An WF, Bowlby MR, Betty M, Cao J, Ling HP, Mendoza G, Hinson JW, Mattsson KI, Strassle BW, Trimmer JS, et al.: Modulation of A-type potassium channels by a family of calcium sensors.

    Nature 2000, 403(6769):553-556. PubMed Abstract | Publisher Full Text OpenURL

  48. Tomchik SM, Davis RL: Dynamics of learning-related cAMP signaling and stimulus integration in the Drosophila olfactory pathway.

    Neuron 2009, 64(4):510-521. PubMed Abstract | Publisher Full Text OpenURL

  49. Gervasi N, Tchenio P, Preat T: PKA dynamics in a Drosophila learning center: coincidence detection by rutabaga adenylyl cyclase and spatial regulation by dunce phosphodiesterase.

    Neuron 2010, 65(4):516-529. PubMed Abstract | Publisher Full Text OpenURL

  50. Bockaert J, Marin P, Dumuis A, Fagni L: The ’magic tail’ of G protein-coupled receptors: an anchorage for functional protein networks.

    FEBS letters 2003, 546(1):65-72. PubMed Abstract | Publisher Full Text OpenURL

  51. Kabbani N, Levenson R: A proteomic approach to receptor signaling: molecular mechanisms and therapeutic implications derived from discovery of the dopamine D2 receptor signalplex.

    Eur J Pharmacol 2007, 572(2–3):83-93. PubMed Abstract | Publisher Full Text OpenURL

  52. Rex EB, Rankin ML, Yang Y, Lu Q, Gerfen CR, Jose PA, Sibley DR: Identification of RanBP 9/10 as interacting partners for protein kinase C (PKC) gamma/delta and the D1 dopamine receptor: regulation of PKC-mediated receptor phosphorylation.

    Mol Pharmacol 2010, 78(1):69-80. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  53. Dyachok O, Isakov Y, Sagetorp J, Tengholm A: Oscillations of cyclic AMP in hormone-stimulated insulin-secreting beta-cells.

    Nature 2006, 439(7074):349-352. PubMed Abstract | Publisher Full Text OpenURL

  54. Nikolaev VO, Bunemann M, Schmitteckert E, Lohse MJ, Engelhardt S: Cyclic AMP imaging in adult cardiac myocytes reveals far-reaching beta1-adrenergic but locally confined beta2-adrenergic receptor-mediated signaling.

    Circ Res 2006, 99(10):1084-1091. PubMed Abstract | Publisher Full Text OpenURL

  55. Rich TC, Fagan KA, Tse TE, Schaack J, Cooper DM, Karpen JW: A uniform extracellular stimulus triggers distinct cAMP signals in different compartments of a simple cell.

    Proc Natl Acad Sci USA 2001, 98(23):13049-13054. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  56. Rochais F, Abi-Gerges A, Horner K, Lefebvre F, Cooper DM, Conti M, Fischmeister R, Vandecasteele G: A specific pattern of phosphodiesterases controls the cAMP signals generated by different Gs-coupled receptors in adult rat ventricular myocytes.

    Circ Res 2006, 98(8):1081-1088. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  57. Hempel CM, Vincent P, Adams SR, Tsien RY, Selverston AI: Spatio-temporal dynamics of cyclic AMP signals in an intact neural circuit.

    Nature 1996, 384(6605):166-169. PubMed Abstract | Publisher Full Text OpenURL

  58. Feyder M, Bonito-Oliva A, Fisone G: L-DOPA-Induced Dyskinesia and Abnormal Signaling in Striatal Medium Spiny Neurons: focus on Dopamine D1 Receptor-Mediated Transmission.

    Front Behav Neurosci 2011, 5:71. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  59. Santini E, Feyder M, Gangarossa G, Bateup HS, Greengard P, Fisone G: Dopamine- and cAMP-regulated phosphoprotein of 32-kDa (DARPP-32)-dependent activation of extracellular signal-regulated kinase (ERK) and mammalian target of rapamycin complex 1 (mTORC1) signaling in experimental parkinsonism.

    J Biol Chem 2012, 287(33):27806-27812. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  60. Santini E, Sgambato-Faure V, Li Q, Savasta M, Dovero S, Fisone G, Bezard E: Distinct changes in cAMP and extracellular signal-regulated protein kinase signalling in L-DOPA-induced dyskinesia.

    PLoS One 2010, 5(8):e12322. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  61. Lebel M, Chagniel L, Bureau G, Cyr M: Striatal inhibition of PKA prevents levodopa-induced behavioural and molecular changes in the hemiparkinsonian rat.

    Neurobiol Dis 2010, 38(1):59-67. PubMed Abstract | Publisher Full Text OpenURL

  62. Santini E, Heiman M, Greengard P, Valjent E, Fisone G: Inhibition of mTOR signaling in Parkinson’s disease prevents L-DOPA-induced dyskinesia.

    Sci Signal 2009, 2(80):ra36. PubMed Abstract | Publisher Full Text OpenURL

  63. Alcacer C, Santini E, Valjent E, Gaven F, Girault JA, Herve D: Galpha(olf) mutation allows parsing the role of cAMP-dependent and extracellular signal-regulated kinase-dependent signaling in L-3,4-dihydroxyphenylalanine-induced dyskinesia.

    J Neurosci 2012, 32(17):5900-5910. PubMed Abstract | Publisher Full Text OpenURL

  64. Yao JJ, Gao XF, Chow CW, Zhan XQ, Hu CL, Mei YA: Neuritin activates insulin receptor pathway to up-regulate Kv4.2-mediated transient outward K + current in rat cerebellar granule neurons.

    J Biol Chem 2012, 287(49):41534-41545. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  65. Devaraj H, Natarajan A: Molecular mechanisms regulating molting in a crustacean.

    Febs J 2006, 273(4):839-846. PubMed Abstract | Publisher Full Text OpenURL

  66. Selverston AI, Russell DF, Miller JP: The stomatogastric nervous system: structure and function of a small neural network.

    Prog Neurobiol 1976, 7(3):215-290. PubMed Abstract OpenURL