ORIGINAL RESEARCH article
Dopaminergic tone persistently regulates voltage-gated ion current densities through the D1R-PKA axis, RNA polymerase II transcription, RNAi, mTORC1, and translation
- Department of Biology, Georgia State University, Atlanta, GA, USA
Long-term intrinsic and synaptic plasticity must be coordinated to ensure stability and flexibility in neuronal circuits. Coordination might be achieved through shared transduction components. Dopamine (DA) is a well-established participant in many forms of long-term synaptic plasticity. Recent work indicates that DA is also involved in both activity-dependent and -independent forms of long-term intrinsic plasticity. We previously examined DA-enabled long-term intrinsic plasticity in a single identified neuron. The lateral pyloric (LP) neuron is a component of the pyloric network in the crustacean stomatogastric nervous system (STNS). LP expresses type 1 DA receptors (D1Rs). A 1 h bath application of 5 nM DA followed by washout produced a significant increase in the maximal conductance (Gmax) of the LP transient potassium current (IA) that peaked ~4 h after the start of DA application; furthermore, if a change in neuronal activity accompanied the DA application, then a persistent increase in the LP hyperpolarization activated current (Ih) was also observed. Here, we repeated these experiments with pharmacological and peptide inhibitors to determine the cellular processes and signaling proteins involved. We discovered that the persistent, DA-induced activity-independent (IA) and activity-dependent (Ih) changes in ionic conductances depended upon many of the same elements that enable long-term synaptic plasticity, including: the D1R-protein kinase A (PKA) axis, RNA polymerase II transcription, RNA interference (RNAi), and mechanistic target of rapamycin (mTOR)-dependent translation. We interpret the data to mean that increasing the tonic DA concentration enhances expression of a microRNA(s) (miRs), resulting in increased cap-dependent translation of an unidentified protein(s).
Dopaminergic systems use volume transmission to modulate cognitive and motor functions (Zoli et al., 1998; Schultz, 2007; Oginsky et al., 2010). Tonic and burst firing neurons release Dopamine (DA) that can then diffuse and act predominantly at remote extra-synaptic receptors before reuptake by DA transporters. As a result, target neurons are tonically exposed to DA; e.g., approximately tens of nM in the striatum and prefrontal cortex (Owesson-White et al., 2012; Nirogi et al., 2013; Zuo et al., 2013), and superimposed upon this baseline are periodic fluctuations in DA that can transiently rise to ~µM levels near the release sites of bursting DA neurons (Park et al., 2011; Rice et al., 2011; Owesson-White et al., 2012).
Phasic and tonic DA have distinct roles in the CNS. Phasic DA may encode reward prediction error (Steinberg et al., 2013), provide sustained motivational drive (Howe et al., 2013) and modulate motor behaviors (Gerfen and Surmeier, 2011). On the other hand, tonic DA is thought to have an enabling function because tonic administration of drugs, such as L-dopa or neuroleptics, can enable motor, motivational and cognitive behaviors (Schultz, 2007). The effects of tonic DA have largely been attributed to D2Rs, but all receptors can show high and low affinity states and there is increasing evidence that tonic DA acting at high affinity type 1 DA receptors (D1Rs) may also enable and shape circuit output over the long-term (Trantham-Davidson et al., 2004; Rodgers et al., 2011a,b; Wall et al., 2011; Saba et al., 2012).
We previously showed that the sole lateral pyloric (LP) neuron in the stomatogastric nervous system (STNS) of the spiny lobster, Panulirus interruptus, expressed high and low affinity D1Rs but not D2Rs (Zhang et al., 2010; Rodgers et al., 2011a,b; Krenz et al., 2013). Low affinity LP D1Rs were activated by µM DA to produce immediate and reversible alterations in the biophysical properties of LP voltage gated ionic currents (Harris-Warrick et al., 1995; Johnson et al., 2003; Kloppenburg et al., 2007; Zhang et al., 2010). High affinity LP D1Rs activated by nM DA produced effects over two time scales. They rapidly conferred activity-dependence upon LP Ih to maintain a conductance ratio and its activity correlate (Krenz et al., 2013), and they also acted through a slower process(es) to persistently influence ion current densities. A 1 h application of 5 nM DA or saline (control) to the superfusate bathing LP, followed by a 4 h washout and subsequent voltage clamp to measure LP IA showed that LP IA Gmax was significantly increased by 25% in the DA-treated relative to control preparations (Rodgers et al., 2011b). If the experiment was repeated, but LP activity was altered during the 1 h 5 nM DA (or saline) application, then LP Ih was also significantly increased by 55% in DA-treated preparations relative to saline controls (Rodgers et al., 2011a). Here we examine the cellular processes mediating DA’ s persistent effects and show that many of the same elements involved in long-term synaptic plasticity underpin DA-induced long-term intrinsic plasticity.
Materials and Methods
California spiny lobsters, Panulirus interruptus, were purchased from Marinus Scientific (Long Beach, CA) and Catalina Offshore Products (San Diego, CA). Lobsters were maintained at 16°C in aerated and filtered seawater. Animals were anesthetized on ice before dissection.
Chemicals and Peptides
Tetrodotoxin (TTX), flupenthixol and myristoylated PKI(14–22) were purchased from Tocris Bioscience (Bristol, UK), flavopiridol was from Selleckchem (Houston, TX), and all other chemicals were purchased from Sigma-Aldrich (St. Louis, MI). Peptides were synthesized by Biomatik (Wilmington, DE). DA was made fresh every 30 min to minimize oxidation. In all experiments, antagonists were administered 10 min before DA application. Rp-cAMPS (1 mM) effectively blocks protein kinase A (PKA) in several arthropod models such as Drosophila and crustaceans, including Panulirus (Erxleben et al., 1995; Kuromi and Kidokoro, 2000; Zhang et al., 2010). PKI is an effective blocker of the PKA catalytic subunit in crustaceans (Dixon and Atwood, 1989). Dosages of rapamycin (100 nM), anisomycin (30 µM) and actinomycin D (50 µM) were previously demonstrated to be effective in several invertebrate models including Panulirus (Rodgers et al., 2011a). Concentrations of flavopiridol (100 nM) and 5, 6-dichloro-1-β-D-ribobenzimidazole (DRB, 100 µM) were chosen based on previously demonstrated effective dosages (Chao and Price, 2001; Bensaude, 2011; Yuan and Burrell, 2013).
The STNS was dissected and pinned in a Sylgard lined Petri dish using standard techniques (Selverston et al., 1976). The stomatogastric ganglion (STG) was desheathed and isolated with a Vaseline well. The STG was superfused with saline consisting of (in mM) 479 NaCl, 12.8 KCl, 13.7 CaCl2, 39 Na2SO4, 10 MgSO4, 2 glucose, 4.99 HEPES, 5 TES at pH 7.4. Intracellular somatic recordings used to identify neurons were obtained with sharp high resistance glass microelectrodes filled with 3 M KCl (20–30 MΩ) and an Axoclamp 2B amplifier (Axon Instruments, Foster City, CA). Neurons were identified by correlating action potentials from somatic intracellular recordings with extracellularly recorded action potentials on identified motor nerves, and by their characteristic shape and timing of oscillations. The process of dissection and cell identification usually took 3–5 h.
Somatic Two-Electrode Voltage Clamp (TEVC)
For two-electrode voltage clamp (TEVC) of LP Ih, the well surrounding the STG was superfused for 1 h with blocking saline: saline containing 10−6 M picrotoxin to block inhibitory glutamatergic synaptic inputs (Marder and Eisen, 1984; Cleland and Selverston, 1995), 10−7 M TTX to block voltage-gated Na+ channels, 2 × 10−2M tetraethylammonium (TEA) to block voltage-gated K+ channels, 2 × 10−4M cadmium chloride (CdCl2) to block Ca2+- and Ca2+-dependent channels. The LP neuron was next impaled with two low resistance voltage clamp micropipettes (8–10 MΩ when filled with 3 M KCl) connected to Axoclamp 2B or 900A amplifiers (Molecular Devices, Foster City, CA). LP was clamped to a −50 mV holding potential using pClamp software. Ih was elicited using a series of 4 s hyperpolarizing voltage steps, from −60 mV to −120 mV in 10 mV increments with 6 s between steps. Steady state peak currents were measured by fitting the current trace back to the beginning of the hyperpolarizing voltage step or by subtracting the initial fast leak current from the slowly developing peak of Ih at the end of each negative voltage step. Currents were converted to conductance (G = Ipeak/(Vm–Vrev) and fitted to a first order Boltzmann equation. Vrev Ih = −35 mV (Kiehn and Harris-Warrick, 1992). For TEVC measurement of LP IA the command potential was stepped from −50 mV to −90 mV for 200 ms to remove resting inactivation. The deinactivating prepulse was immediately followed by a 400 ms testpulse to activate the channels. Activation pulses ranged from −40 to +40 mV in 10 mV increments. To subtract the leak current, the hyperpolarizing prepulse was omitted and instead the prepulse was set to −40 mV to remove IA activation from the −50 mV holding potential. Currents were converted to conductance (G = Ipeak/(Vm–Vrev) and fitted to a first order Boltzmann equation. Vrev IA = −86 mV (Eisen and Marder, 1982). TEVC experiments were done at 19–22°C as measured with a probe in the bath. Temperature did not change by more than 1°C during any given experiment.
Cloning and Sequencing Lobster Argonaute 1 (AGO1)
Total RNA was isolated from the lobster nervous system using TRIzol (Ambion, Austin, TX) and converted to cDNA using Superscript (Life Technologies, Grand Island, NY) according to manufacturers’ instructions. Degenerate primers were generated based on alignments with Drosophila melanogaster (Genbank accession: AB035447), Penaeus monodon (Genbank accession: DQ343133), and Daphnia pulex (wfleabase: NCBI_GNO_68324) and are shown in Table 1. Degenerate polymerase chain reactions (PCRs) were performed with Advantage Taq (Clontech, Mountain View, CA) as previously described (Baro et al., 1994). PCR products were cloned with a TA cloning kit (Qiagen, Valencia, CA) using the manufacturer’s instructions. The 3′ end was obtained with lobster specific primers, S. For 1 (Table 1) and a SMARTer RACE kit (Clontech) using instructions provided. The 5′ end was obtained with lobster specific primer, S. Rev 2 (Table 1) and a FirstChoice RLM RACE Kit (Ambion) using instructions provided. All sequencing was performed by the GSU DNA core facility. Sequences were analyzed and manipulated with the Lasergene 10 suite of DNASTAR software (Madison, WI).
The his-tagged hook (HHHHHHPDNGTSAWGEPNESSPGWGEMD) and mutant hook (HHHHHHPDNGTSvavEPNESSPvavEMD) peptides were diluted in water to a working concentration of 10 ng/ml and fast green was added to 0.04% to visualize injections. Microloaders (Eppendorf) were used to directly fill glass pipettes (8–15 MΩ when filled with 3 M KCl) with the solution (i.e., no backfilling). Because of the high resistance of the peptide solution, pipette tips were broken before injection by gently touching a Kim wipe. The peptide was pressure injected into LP neurons using a Picospritzer III (General Valve/Parker Hannifin). Only two pressure pulses (on average 32 psi and 47 ms) separated by 30 s were applied. Intracellular recording during the injection showed that the injection procedure had no effect on LP voltage envelope and firing properties. Extracellular recordings were used to continuously monitor the activity of the LP neuron before, during and for 1 h after peptide injection.
The data were checked for normality and analyzed using parametric statistical tests including Student t-tests and ANOVAs. In the one case where data were not normally distributed, a non-parametric Kruskal-Wallis test was used. All data were analyzed using Prism Statistical software package (Graphpad). Significance threshold was set at p < 0.05 in all cases. Statistical outliers were excluded if the values fell greater than two standard deviations from the mean and this resulted in exclusion of one experiment. Means and standard errors are presented unless otherwise noted. ANOVAs were usually followed by Tukey’s post hoc tests that make all pairwise comparisons.
A persistent activity-dependent increase in LP Ih Gmax was elicited by two coincident events: an activation of high affinity LP D1Rs and a reduction in LP burst duration (Rodgers et al., 2011a). We used a simple experimental model to coincidently elicit these events and study the cellular processes involved in long-term intrinsic plasticity: the spiny lobster STNS was dissected and pinned in a dish (Figure 1A). The STG, which contains the LP neuron, was continuously superfused with saline. Intracellular and extracellular recordings were used to identify the sole LP neuron as described in Section Materials and Methods. Both in vivo (Heinzel et al., 1993) and in situ (Figure 1B), the LP neuron undergoes spontaneous slow oscillations in membrane potential (~20 mV at 1–2 Hz) with a burst of spikes riding on the depolarized plateau of each oscillation. The standard experimental protocol used to elicit the persistent increase in LP Ih Gmax is diagrammed in Figure 1C. LP activity was altered during a 1 h application of DA followed by washout of DA. At the end of the wash, the preparation was superfused with blocking saline for 1 h to prevent spontaneous activity, and LP Ih was then measured with somatic TEVC (Figure 1D). We previously demonstrated that in the absence of DA, LP Ih Gmax does not exhibit rapid activity-dependent changes (Krenz et al., 2013); and, measures of LP Ih before and after the block indicate that it does not change appreciably during the block (LP Ih Gmax before block = 0.125 + 0.013 µS; LP Ih Gmax after 1 h block = 0.120 + 0.012 µS, n = 7, Student t-test, p = 0.796).
Figure 1. The experimental model. (A) The stomatogastric nervous system is dissected and pinned in a dish. Dopamine neurons (black) in the commissural ganglia (COGs) project through the stomatogastric nerve (stn) to the STG. The L-cells (gold) in the COGs are the source of neurohormonal DA that constantly bathes the STG. In these experiments, the STG is isolated with a Vaseline well (rectangle) and constantly superfused throughout the experiment (arrows). There are ~30 neurons in the STG including the single LP neuron that is illustrated in red. (B) Intracellular LP recordings from a typical experiment where the STG was sequentially superfused with saline (control), 5 nM DA and 5 µM DA. Note that 5 µM but not 5 nM produced a significant decrease in LP burst duration (a) and cycle period (b). Scale bars are 20 mV and 500 ms. (C) Diagram of typical somatic TEVC experiments to measure persistent changes in LP Ih. (D) Representative LP Ih recording elicited with a series of hyperpolarizations from −50 mV to −120 mV in 10 mV increments from a holding potential of −50 mV; current (top) and voltage (bottom) traces are shown; scale bars are 5 nA and 500 ms.
Three methods were previously used to elicit a persistent ~55% increase in LP Ih Gmax by simultaneously activating high affinity D1Rs while altering LP activity (Rodgers et al., 2011a). The first two methods used a 1 h application of 5 nM DA to activate high affinity D1Rs and either concurrent application of TTX to block activity or concurrent injection of a hyperpolarizing bias current into LP to reduce LP burst duration and decrease LP duty cycle (burst duration/period). These treatments were followed by a 2.5 h saline wash, a 1 h block and TEVC measurement of LP Ih. The fact that both methods produced the same persistent ~55% increase in LP Ih Gmax suggested that the specific change in activity did not determine the magnitude of the alteration in LP Ih Gmax measured 3.5 h after the treatment ended (other time points were not examined). In the absence of a change in activity, 5 nM DA had no effect; and, TTX had no significant effect in the absence of 5 nM DA. The third method used to elicit a persistent ~55% increase in LP Ih Gmax was a 1 h application of 5 µM DA alone, which activates both high affinity D1Rs to permit activity-dependent regulation of LP Ih Gmax and low affinity D1Rs to decrease LP burst duration and reduce LP duty cycle (Figure 1B, compare top and bottom panels). When TTX was included with 5 µM DA, the same 55% increase in LP Ih Gmax was observed, again suggesting that the magnitude of the persistent change in LP Ih Gmax measured 3.5 h after the treatment was not strictly correlated with the magnitude of the change in activity. However, a change in activity was required because, if a depolarizing bias current was injected into LP to prevent the 5 µM DA-induced decrease in LP burst duration and duty cycle, then there was no persistent change in LP Ih Gmax in the presence of 5 µM DA. The most parsimonious interpretation of these data is that 5 µM DA and 5 nM DA + TTX acted through the same pathway to produce a persistent ~55% increase in LP Ih Gmax. Therefore, these two treatments are used interchangeably to study the processes involved.
Time Course of the Persistent Increase in Lateral Pyloric (LP) Ih Gmax
Previous experiments showed that a 1 h DA application accompanied by a change in activity produced a 55% increase in LP Ih Gmax measured after a 2.5 h DA washout followed by a 1 h block (Rodgers et al., 2011a). To gain insight into the mechanism involved, we examined the time course of the increase. The experiments are diagrammed in Figure 2A. For the DA-treated group, the STG was superfused with 5 µM DA for 1 h followed by washout with saline for 0–6 h. At the end of the washout, the STG was treated with blocking saline for 1 h followed by TEVC to measure LP Ih. Control experiments were performed in which the STG was superfused with saline for 0 h (acute) or 3.5 h (control) followed by a 1 h block and TEVC to measure LP Ih. The measured LP Ih Gmax for each experiment was divided by the mean LP Ih Gmax value for control experiments, and the resulting normalized LP Ih Gmax was plotted (Figure 2B). The data indicated that the increase in LP Ih Gmax developed slowly, peaked within 2–3 h of the start of DA application and then slowly declined over a similar time course. In the absence of 5 µM DA, LP Ih Gmax did not change significantly over time (compare acute and control treatment groups).
Figure 2. Time course for the persistent increase in LP Ih Gmax. (A) Diagram of the experimental protocol for each of the four treatment groups. For all treatment groups a single measure was obtained for each preparation using two-electrode voltage clamp (TEVC) at the end of the experiment, i.e., LP Ih was not repeatedly measured over time within a given preparation; rather, terminal measurements from DA-treated preparations were compared to terminal measurements from control preparations and 68 animals were used for all of the experiments shown. Note that for the DA-treated group, the length of the saline wash varied across time points. (B) Plot of normalized LP Ih Gmax for each experiment in every treatment group. Each symbol is a discrete experiment; e.g., the preparations in the 1 h DA-treatment group are different from the preparations in the 1.5 h DA-treatment group. Each y-value represents the LP Ih Gmax for that experiment divided by the mean for the control experiments. The solid horizontal lines represent the means. Note that means will not be accurate at later time points where n ≤ 3, and they are only meant to show a decreasing trend over time. The numbers on the x-axis correspond to the hours that elapsed between the beginning of the DA application and the beginning of the block, i.e., x = 1 means that there was no saline wash before application of blocking saline; x = 2 indicates a 1 h saline wash, etc. Blue asterisks indicate significant differences relative to the control group as determined with a one-way ANOVA followed by Dunnett’s post hoc tests that compared the control treatment group to the acute and no washout treatment groups and each time point in the DA-treated group except those time points with n ≤ 3: F(7,50) = 3.921, p = 0.0018.
In order to further demonstrate that the persistent activity-dependent increase in LP Ih was enabled by activation of high affinity D1Rs, and not washout of 5 µM DA, we performed one additional experiment (Figure 2A, orange bar). After dissection and cell identification, STGs were superfused with 5 nM DA + TTX for 3 h followed immediately by TEVC measures of LP Ih. The data were normalized as described above and plotted (Figure 2B, orange stars). The results indicated that the persistent increase in LP Ih Gmax did not depend upon DA washout. The mean fold-changes in LP Ih Gmax for the two 3 h treatment groups were 1.39 + 0.07 (3 h 5 nM DA + TTX) vs. 1.42 + 0.14 (1 h 5 µM DA + 1 h wash + 1 h block). These means were not significantly different from one another, but both were significantly increased relative to control. Since we previously showed that neither 5 nM DA nor a change in LP activity produced a significant long-term change in LP Ih Gmax relative to saline controls on its own (Rodgers et al., 2011a), we interpret the data presented here to mean that tonic activation of high affinity D1Rs enables a slow cellular process(es) that permits activity-dependent regulation of LP Ih Gmax.
The Type 1 DA receptor (D1R)- Protein Kinase a (PKA) Axis is Required for the Persistent Increase in Lateral Pyloric (LP) Ih Gmax
Experiments were next performed to determine if the persistent increase in LP Ih Gmax was mediated by high affinity D1Rs acting through PKA (Figure 3). The experiment is diagrammed in Figure 3A: from t = −10–60 min, the STG was superfused with saline that in some cases contained TTX with or without a pharmacological reagent. In some experiments, 5 nM DA was added to the superfusate from t = 0–60 min. From t = 1 h–3.5 h, the STG was superfused with saline alone. The preparation was then blocked for 1 h and LP Ih was measured with TEVC. Previous work showed that under these conditions, superfusing TTX alone from t = −10–60 min had no significant effect on LP Ih Gmax relative to saline controls (Rodgers et al., 2011a). Flupenthixol antagonizes LP D1Rs (Zhang et al., 2010; Rodgers et al., 2011b) and in these experiments10 µM flupenthixol blocked the increase in LP Ih Gmax elicited by 5 nM DA + TTX but had no effect on its own (Figure 3B). Similarly, a competitive antagonist for cAMP binding to PKA, Rp-cAMPS, completely blocked the DA- and activity-dependent persistent increase in LP Ih Gmax, but had no effect in the absence of DA (Figure 3C). These data are consistent with the idea that D1Rs act through PKA to persistently alter LP Ih Gmax; however, Rp-cAMPS can potentially antagonize other cAMP binding proteins including exchange protein activated by cAMP (epac) and hyperpolarization activated cyclic nucleotide-gated (HCN) channels (Shabb, 2011). To confirm PKA involvement, the experiment was repeated with the specific membrane permeable PKA blocker, myristoylated PKI(14–22), which specifically binds to and inactivates the catalytic subunit of PKA (Wen and Taylor, 1994; Shabb, 2011). PKI also blocked the DA- and activity-dependent persistent increase in LP Ih Gmax but had no effect in the absence of DA (Figure 3D). Together these data suggested that a functional D1R-PKA axis was necessary for the persistent activity-dependent increase in LP Ih Gmax.
Figure 3. A functional D1R-PKA axis is necessary to permit the persistent activity-dependent increase in LP Ih Gmax. (A) Diagram of the experimental protocol. (B) The D1R inhibitor, flupenthixol (10 µM), had no effect on its own, but prevented the DA- and activity-dependent persistent increase in LP Ih Gmax. LP Ih Gmax is plotted for every treatment group; each symbol represents one experiment, and the horizontal bars represent the means. Asterisks indicate significant differences as determined using a one-way ANOVA with Tukey’s post hoc tests that made all pairwise comparisons: F(3,21) = 6.642, p = 0.0025. (C) The PKA inhibitor, Rp-cAMPS (1 mM), had no effect on its own, but prevented the DA- and activity-dependent persistent increase in LP Ih Gmax. Asterisks indicate significant differences as determined using a one-way ANOVA with Tukey’s multiple comparisons post hoc tests: F(3,24) = 5.9, p = 0.0036. (D) The PKA inhibitor, myristoylated PKI(14–22) (5 µM), prevented the DA- and activity-dependent persistent increase in LP Ih Gmax, but had no effect on its own. Asterisks indicate significant differences as determined using a one-way ANOVA with Tukey’s multiple comparisons post hoc tests: F(3,22) = 10.38, p = 0.0002.
Mechanistic Target of Rapamycin (mTOR)-Dependent Translation is Required for the Persistent Increase in Lateral Pyloric (LP) Ih Gmax
Mechanistic target of rapamycin (mTOR) is a conserved serine threonine kinase that functions as part of the protein complex, mTORC1, to regulate cap-dependent translation in all eukaryotic cells (Foster and Fingar, 2010). We used the mTORC1 specific blocker, rapamycin, and the translation blocker, anisomycin, to determine if mTORC1 and translation were also necessary for the DA- and activity-dependent increase in LP Ih Gmax (Figure 4). In these experiments, from t = 0–60 min, the STG was superfused with saline that did or did not (control) contain 5 µM DA, followed by a 1 h wash with saline, a 1 h block and TEVC to measure LP Ih. Either 100 nM rapamycin or 30 µM anisomycin was also superfused from t = −10–120 min. The data indicated that both mTOR and translation were necessary to produce the DA- and activity-dependent persistent increase in LP Ih Gmax. In the presence of either blocker, 5 µM DA could no longer elicit a significant increase in LP Ih Gmax, but the blockers had no effect on their own.
Figure 4. The DA- and activity-dependent persistent increase in LP Ih Gmax is mediated by an mTOR-dependent translational mechanism. (A) Diagram of the experimental protocol. (B) The mTORC1 inhibitor, rapamycin (100 nM), prevented the increase in LP Ih Gmax normally elicited by 5 µM DA but had no effect on its own. LP Ih Gmax is plotted for each treatment group; each symbol represents one experiment; the horizontal bars represent the means. Asterisks indicate significant differences as determined using a one-way ANOVA with Tukey’s post hoc tests that made all pairwise comparisons, F(3,26) = 5.015, p = 0.0071. (C) The translation inhibitor, anisomycin (30 µM), had no effect on its own but prevented the persistent increase in LP Ih Gmax elicited by 5 µM DA. Asterisks indicate significant differences as determined using a one-way ANOVA with Tukey’s multiple comparison post hoc tests, F(3,27) = 5.976, p = 0.0029.
The RNAi Pathway is Required for the Persistent Increase in Lateral Pyloric (LP) Ih Gmax
Activity-dependent intrinsic plasticity involving mTORC1 often requires additional regulatory elements that bind mRNA, including microRNA(s) (miRs) (Goldie and Cairns, 2012). The RNAi pathway processes miRs and mediates their actions (Finnegan and Pasquinelli, 2013). We next asked if a functional RNAi pathway was necessary for the persistent DA- and activity-dependent increase in LP Ih Gmax. The experimental logic is diagrammed in Figure 5A. The RNA interference silencing complex (RISC) is an essential component of the RNAi pathway. RISC comprises several proteins including members of the Argonaute (Ago) and TNRC6/GW182 families. Dimerization occurs between members of the Ago and TNRC6 families, and disrupting this interaction prevents RISC formation and blocks the RNAi pathway and miR effects (Till et al., 2007). The minimal Ago binding domain from TNRC6 proteins has been identified as a continuous stretch of 22 amino acids, termed the Ago hook (Figure 5A, purple). An excess of the hook peptide can outcompete endogenous TNRC6 proteins for binding to endogenous Ago1 and 2 in human tissue culture cell lines (Till et al., 2007) (Figure 5A, panel ii). Altering amino acids in the Ago hook (termed mutant hook) prevented it from binding to Ago. Ago and TNRC6 proteins dimerized in the presence of an excess of the mutant hook (Figure 5A, panel iii). Ago is highly conserved across species, and the human Ago hook has been used successfully to disrupt the effects of a Drosophila miR in an in vitro translation assay and to isolate Drosophila Ago1 and yeast Ago in pull-down assays (Till et al., 2007). The Ago amino acids that are necessary to bind the Ago hook have been identified (Till et al., 2007), and are indicated in orange in Figures 5A, B. In order to determine if the amino acids involved in binding the Ago hook were conserved in lobster, we cloned lobster Ago1, which shares 83% identity with Drosophila Ago1, and compared it to each of the four human Ago proteins. These comparisons indicated that lobster Ago1 was ≥72% identical to each human Ago. An alignment of lobster and human Ago1 proteins indicated that they shared 74% identity over their entire length; and, 16 of the 17 amino acids known to be involved in binding the Ago hook were identical with the single amino acid change being conservative (Figure 5B). Together, the existing data suggested that the previously validated human Ago hook and mutant hook peptides could be used in our experiments to test if a functional RNAi pathway was necessary for the persistent increase in LP Ih Gmax.
Figure 5. A functional RNAi pathway is necessary for the DA- and activity-dependent increase in LP Ih Gmax. (A) i. The Ago hook peptide on the TNRC6 protein (purple) binds amino acids in the PIWI domain of the Ago protein (orange); the dimer is a component of the multiprotein complex, RISC, which is an essential element in the RNAi pathway. Additional RISC proteins are not shown. ii. Ago hook peptide competes with TNRC6 for binding to Ago, and excess Ago hook peptide disrupts RISC formation and the RNAi pathway. iii. Mutating amino acids in the Ago hook prevents it from binding to Ago, and the TNRC6-Ago dimer forms in the presence of excess mutant hook. (B) Alignment of lobster (KF602070) and human (AF093097) Ago1 proteins. Identical amino acids are boxed. The PIWI domain involved in binding TNRC6 is bolded. Amino acids necessary for binding to TNRC6 are shown in orange. (C) Injecting hook, but not mutant hook peptide into the LP neuron prevented the DA-induced, activity-dependent persistent increase in LP Ih Gmax. The upper panel shows the experimental protocol. The lower panel plots LP Ih Gmax for each treatment. Each symbol is one experiment; the horizontal bars are the means. Asterisk indicates significant differences using a one-way ANOVA with Tukey’s post hoc tests that made all pairwise comparisons, F(3,29) = 7.036, p = 0.0011. Uninjected control and DA-treated preparations from experiments in Figure 3 are shown for comparison.
Experiments involving peptide injections into LP neurons are shown in Figure 5C. We pressure injected hook or mutant hook peptides into LP neurons as described in Section Materials and Methods. The STG was then superfused for 1 h to allow the injected peptide to compete with endogenous proteins for binding to LP Ago1. No change in rhythmic LP activity was observed during or after peptide injection. We next superfused the STG with 5 nM DA + TTX or TTX (control) for 1 h, followed by a 3 h wash with saline, a 1 h block and TEVC to measure LP Ih. The data indicated that peptide injections had no effect on LP Ih Gmax. In the absence of 5 nM DA, LP Ih Gmax was not significantly different between uninjected neurons and neurons injected with Ago hook or mutant hook peptides (one-way ANOVA, F(2,23) = 0.3245, p = 0.7264). On the other hand, injection of the Ago hook, but not the mutant hook, prevented the usual persistent increase in LP Ih Gmax in the presence of 5 nM DA + TTX (Figure 5C). These data indicated that the RNAi pathway was necessary to elicit the DA- and activity-dependent persistent increase in LP Ih Gmax.
Transcription is Necessary for the Dopamine (DA)- and Activity-Dependent Persistent Increase in Lateral Pyloric (LP) Ih Gmax
Activity-dependent processes can involve transcriptional regulation of mRNAs and/or miRs (Krol et al., 2010; Wibrand et al., 2010; Kandel, 2012). RNA polymerase II transcribes both mRNAs and miRs (Pawlicki and Steitz, 2010). In order to determine if RNA Polymerase II-dependent transcription was necessary for the DA- and activity-dependent increase in LP Ih Gmax, we first employed pharmacological agents that acted on RNA Polymerase II to prevent transcription (Figure 6). The STG was superfused with or without (control) 5 µM DA from t = 0–60 min. This was followed by a 2 h wash with saline, then a 1 h block and TEVC to measure LP Ih. Either 100 nM flavopiridol or 100 µM was superfused from t = −10–60 min. The results indicated that the drugs blocked the persistent increase in LP Ih Gmax (Figures 6B, C). These drugs act by inhibiting cyclin dependent kinases (CDKs) that phosphorylate RNA polymerase II and thereby promote transcript elongation (Bensaude, 2011); however, CDKs are known to regulate a number of other proteins. For this reason, we repeated the experiments with a third transcription blocker, actinomycin D, which acts by intercalating into the DNA (Bensaude, 2011). Inclusion of 50 µM actinomycin D in the superfusate had no effect on its own, but blocked the DA- and activity-dependent persistent increase in LP Ih Gmax (Figure 6D). Together these data suggested that RNA Polymerase II transcription was necessary for the DA- and activity-dependent increase in LP Ih Gmax. Finally, to test the previously stated assumption that the persistent effects of 5 nM DA + TTX and 5 µM DA on LP Ih Gmax were mediated by the same pathway, we repeated the flavopiridol experiment with 5 nM DA + TTX. Consistent with our hypothesis, flavopiridol blocked the persistent 55% increase in LP Ih Gmax elicited by 5 nM DA + TTX ( mean + SEM LP Ih Gmax in 5 nM DA + TTX = 0.155 + 0.01 µS, n = 9; in flavopiridol + 5 nM + TTX, = 0.108 + 0.008 µS, n = 4; Student’s t-test p = 0.015)
Figure 6. Transcription is required for the DA- and activity-dependent persistent increase in LP Ih Gmax. (A) Diagram of the experimental protocol. (B) Flavopiridol (100 nM) blocks the persistent increase in LP Ih Gmax elicited by 5 µM DA. LP Ih Gmax is plotted for each treatment group; each symbol is one experiment; the horizontal bars represent the means. Asterisk indicates a significant difference as determined using t-tests to compare DA and saline treatment groups in preparations with (p = 0.701) and without (p = 0.011) flavopiridol. Note that an ANOVA could not be performed due to unequal variances between +/− flavopiridol groups (F-test, p < 0.03). (C) DRB (100 µM) blocks the persistent increase in LP Ih Gmax elicited by 5 µM DA. Asterisk indicates a significant difference as determined using a one-way ANOVA with Tukey’s post hoc tests that made all pairwise comparisons, F(3, 25) = 3.827, p < 0.022. (D) Actinomycin D (50 µM) blocks the persistent increase in LP Ih Gmax elicited by 5 µM DA but has no effect alone. Asterisks indicate significant differences as determined using a one-way ANOVA with Tukey’s post hoc tests that made all pairwise comparisons, F(3, 26) = 7.611, p = 0.0008.
The Same Slow Processes are Necessary for the 5 nM DA Induced, Activity-Independent Increase in Lateral Pyloric (LP) Ih Gmax
Thus far we have examined the cellular processes underpinning the persistent increase in LP Ih Gmax without regard for other voltage-gated ionic conductances; however, LP IA and Ih can be co-regulated (MacLean et al., 2005; Temporal et al., 2012; Krenz et al., 2013). We previously demonstrated that a 1 h application of 5 nM DA produced a persistent increase in LP IA that was dependent upon the D1R-PKA axis and mTOR-dependent translation; but, unlike LP Ih, the persistent increase in LP IA was activity-independent (Rodgers et al., 2011b, Rodgers et al., 2013). In order to better understand the signaling network that co-regulates LP IA and Ih, we asked if RNAi and transcription were also necessary for the activity-independent persistent increase in LP IA Gmax (Figure 7). We repeated the hook injection experiment diagrammed in Figure 5A using 5 nM DA without TTX and measured LP IA. The hook blocked the DA induced increase in LP IA Gmax (Figure 7A); thus, the RNAi pathway was necessary for the persistent increase in LP IA. We next repeated the experiments with the transcription blockers diagrammed in Figure 6A. DRB alone significantly increased LP IA Gmax relative to saline controls (t-test, p = 0.026, n > 5 per treatment group), and was not considered further. On the other hand, both flavopiridol (Figure 7B) and actinomycin D (Figure 7C) blocked the DA-induced increase in LP IA Gmax. Consistent with the idea that 5 µM DA and 5 nM DA acted through the same pathway, flavopiridol also blocked the persistent ~25% increase in LP IA Gmax elicited by 5 nM DA + TTX (mean + SEM LP IA Gmax in 5 nM DA + TTX = 3.1 + 0.2 µS, n = 8; in flavopiridol + 5 nM + TTX = 2.08 + 0.23 µS, n = 4; Student’s t-test p = 0.005). We concluded that RNA polymerase II transcription was also necessary for the DA-induced persistent increase in LP IA.
Figure 7. miR transcription is required for the DA-dependent persistent increase in LP Ih Gmax. (A) The Ago hook blocks the persistent increase in LP IA Gmax elicited by 5 nM DA. The Ago hook injection experiments described in Figure 5A were repeated without TTX, and LP IA Gmax was measured. Each symbol represents one experiment, and the horizontal bars represent the means. The asterisk indicates a significant difference between the saline and DA-treated preparations, as determined using Student t-tests for the non-injected preparations (p < 0.006) and the hook-injected preparations (p = 0.244). (B) Flavopiridol (100 nM) blocked the persistent increase in LP IA Gmax elicited by 5 µM DA. Experiments diagrammed in Figure 6A were repeated with flavopiridol except that LP IA was measured and plotted for each treatment group. Each symbol is one experiment; horizontal bars are the means. Asterisk indicates a significant difference as determined using t-tests to compare DA and saline treatment groups in preparations with (p = 0.969) and without (p = 0.004) flavopiridol. Note that unequal variances between +/− flavopiridol groups prevented analysis with an ANOVA (F-test, p < 0.008). (C) Actinomycin D (50 µM) blocked the persistent increase in LP IA Gmax elicited by 5 µM DA. Experiments diagrammed in Figure 6A were repeated with Actinomycin D, except that LP IA was measured and plotted for each treatment group. Each symbol is one experiment; horizontal bars are the means. Asterisks indicate significant differences as determined using a Kruskal-Wallis test with Dunn’s multiple comparison posthoc tests, p = 0.0014.
The main finding of the work presented here is that tonic nM DA can act at high affinity D1Rs to permit a persistent, activity-dependent increase in LP Ih Gmax through a signaling network that relies on the canonical D1R-PKA axis, RNA Polymerase II transcription, components of the RNAi pathway, mTORC1 and translation. All of these same elements are also necessary for the activity-independent, persistent increase in LP IA Gmax elicited by tonic nM DA.
Potential Mechanisms for how 5 nM DA Persistently Regulates Lateral Pyloric (LP) IA and LP Ih
Modulatory tone continuously influences ion current density: Washout of modulatory tone reduced LP IA Gmax and adding 5 nM DA back to the bath prevented the decrease and could even produce a persistent increase (Rodgers et al., 2013). The mechanism involved did not rely on alterations in the number of Kv4 transcripts (Rodgers et al., 2011b) that encode the pore-forming subunits of the channels mediating LP IA (Baro et al., 1997, 2000). If bath application of 5 nM DA was accompanied by a significant change in LP slow wave activity, then a persistent increase in LP Ih was also observed (Rodgers et al., 2011a). In the simplest case, high affinity D1Rs regulate both LP IA and Ih through the same mechanism, and activity-dependence is bestowed upon LP Ih through an additional process.
RNA polymerase II transcription is essential for the persistent increase in LP IA and Ih elicited by 5 nM DA. Both mRNAs and miRs are transcribed by RNA polymerase II. Our data suggest miR expression is regulated by dopaminergic tone. The RNAi pathway, which processes miRs and mediates their effects, is necessary for the DA-induced persistent increases in LP IA and Ih Gmax. Injecting the Ago hook to sequester endogenous Ago1, and thereby obstruct RNAi, did not appear to alter LP IA or Ih over the long-term (several hours); however, Ago hook injections did block the persistent increase in LP IA and Ih Gmax elicited by 5 nM DA. The most parsimonious interpretation of these data is that DA regulates miR expression, although there are other explanations (Pinder and Smibert, 2013). If DA suppressed miR expression, then Ago hook injections should have occluded the DA effect. Since Ago hook injections blocked rather than occluded DA’s effect, it is more likely that DA enhanced miR expression. Consistent with this hypothesis, activation of high affinity D1Rs has been shown to enhance miR-181a expression in hippocampal neurons (Saba et al., 2012). The half-lives of miRs are variable, ranging from minutes to hours (Bail et al., 2010; Krol et al., 2010). MiR expression can be regulated by altering rates of transcription (Fiore et al., 2009; Impey et al., 2010; Nudelman et al., 2010), processing (Heinrich et al., 2013; Massirer and Pasquinelli, 2013) and/or degradation (Chatterjee and Grosshans, 2009; Krol et al., 2010; Wibrand et al., 2010; Grosshans and Chatterjee, 2011). DA could be acting on one or all three of these processes to enhance miR expression. The D1R-PKA axis could directly increase transcription rates through the cAMP response element binding protein (CREB), a transcription factor known to augment the expression of several miRs (Vo et al., 2005; Tan et al., 2012a,b). Monoamines can also regulate the expression of Piwi-interacting RNAs (piRs), an additional class of small noncoding RNAs that can promote long-term neuronal plasticity by regulating transcription factor expression (Rajasethupathy et al., 2012). Thus, it is possible that DA could indirectly influence miR transcription by regulating piRs. It should be noted that although both Piwi and Ago1 proteins possess PIWI domains, the amino acids necessary for binding to the Ago hook are not preserved in Piwi proteins (Parker et al., 2004), and the Ago hook does not pull down Piwi proteins (Till et al., 2007). Theoretically, DA could also regulate the processing or stabilization of nascent miRs, but to the best of our knowledge, this has not yet been demonstrated. For the remainder of this discussion, we assume the same miR(s) controls both LP IA and Ih densities in order to permit their co-regulation; however, it is also possible that distinct miRs regulate LP IA and Ih densities, and in this case, both DA and a change in activity may be required to increase the expresson of the miR regulating Ih density (Wibrand et al., 2010; Cohen et al., 2011; Eacker et al., 2011).
Both mTORC1 and translation are necessary for the DA-induced persistent increases in LP IA and Ih Gmax. Many cellular processes are regulated by mTORC1, including cap-dependent translation (Laplante and Sabatini, 2012). The most parsimonious interpretation of the data is that DA directly or indirectly enhances mTORC1-dependent translation of a protein(s) because, the mTORC1 inhibitor, rapamycin, and the translation inhibitor, anisomycin, had no effect on their own, but each prevented the persistent increases in LP IA and Ih elicited by 5 nM DA. The identity of the transcript(s) undergoing enhanced mTORC1-dependent translation is unknown. Increased translation of ion channel subunits could augment ion channel surface expression and LP maximal conductances, including the pore-forming subunits that mediate IA (Kv4) and Ih (HCN) or the auxiliary subunits that regulate channel conductance and trafficking (An et al., 2000; Zhang et al., 2003; Santoro et al., 2009; Lin et al., 2010; Santoro et al., 2011). Additional candidates for altered translation include a wide variety of proteins involved in ion channel translation, trafficking and surface expression. Despite the fact that there are many potential targets, for the ease of discussion, here we further consider only Kv4 and HCN transcripts.
How might the increased expression of a miR lead to increased mTORC1-dependent translation of Kv4 and HCN transcripts? RNA binding proteins (RBPs) act in a combinatorial fashion to repress or enhance translation of the transcript to which they bind (Darnell and Richter, 2012; Darnell, 2013). miRs remodel the RBP complexes bound to transcripts and thereby either inhibit or facilitate their translation (Lee and Vasudevan, 2013). We hypothesize that 5 nM DA promotes expression of a miR that can reconfigure the RBP complexes on Kv4 and HCN transcripts to facilitate their translation. There are a number of ways that this could occur: the miR could act as a decoy and compete with Kv4 and HCN transcripts for binding to a repressive RBP (Eiring et al., 2010); or, the miR could compete with a more repressive RBP for binding to Kv4 and HCN transcripts (Ma et al., 2010). Then again, the miR could noncompetitively bind Kv4 and HCN transcripts and recruit RBPs that promote translation (Vasudevan et al., 2007; Tsai et al., 2009). Alternatively, the miR could de-repress Kv4 and HCN transcripts by reducing the number of available repressive RBPs; for example, the miR could bind repressive RBP transcripts and block their translation initiation (Djuranovic et al., 2012; Meijer et al., 2013) and/or elongation (Graber et al., 2013a) and/or promote their degradation (Djuranovic et al., 2011; Fukaya and Tomari, 2012). Since a given transcript is regulated by multiple elements, the aforementioned models could account for both the activity-dependent and -independent regulation of LP Ih and IA, respectively, if we postulate activity-dependent remodeling of an additional RBP complex on HCN transcripts. Although these hypotheses have the advantage of being simple and straightforward, they are highly speculative. It is also possible that the miR(s) indirectly alters RBP complexes on Kv4 and HCN transcripts by regulating transcripts encoding other types of proteins. For example, Kv1 transcripts in hippocampal neurons compete with CAMKIIα and other transcripts for binding to a limited number of Hu/embryonic lethal, abnormal vision (ELAV) RBPs that promote translation; and, Kv1 transcripts bind these facilitatory RBPs and are translated only when competitor transcripts (e.g., CAMKIIα are destabilized and degraded (Sosanya et al., 2013), suggesting that the shared RBPs may promote switching between two distinct programs/states.
Commonalities Between Activity-Dependent Regulation of Lateral Pyloric (LP) Ih and Synaptic Plasticity
Learning and memory depend upon coordinated intrinsic and synaptic plasticity (Sehgal et al., 2013). Coordination can be achieved through shared transduction components. In this regard, many of the cellular processes underpinning long-term activity-dependent regulation of LP Ih Gmax and synaptic plasticity are similar. First, miRs can contribute to long-term synaptic plasticity in multiple species. Throughout the mammalian brain, miRs participate in activity-dependent synaptic remodeling and regulate cognition by controlling components of the post-synaptic density, spine volume and synaptic cytoskeletal proteins (Schratt, 2009; Eacker et al., 2013; Hansen et al., 2013). miRs are also linked to synaptic plasticity and long-term memory in Drosophila (Ashraf et al., 2006; McCann et al., 2011). In Aplysia, serotonin can down-regulate expression of a miR that normally constrains synaptic plasticity (Rajasethupathy et al., 2009). Second, mTOR-dependent translation is necessary for long-term synaptic plasticity in a number of systems (Hoeffer and Klann, 2009; Gkogkas et al., 2010; Graber et al., 2013b). In rat hippocampal neurons, the D1R-PKA axis permits local mTORC1-dependent translation of the glutamate receptor subunit, GluR1, in an activity-dependent fashion (Smith et al., 2005). D1Rs mediate memory consolidation in the gerbil auditory cortex through mTOR-dependent protein synthesis (Schicknick et al., 2008). In Aplysia, long-term facilitation of a sensory-motor synapse relies on serotonin-enabled local mTORC1-dependent translation (Yanow et al., 1998; Casadio et al., 1999; Wang et al., 2009). Similarly, long-term facilitation at a crayfish neuromuscular synapse required local mTOR-dependent translation (Beaumont et al., 2001). While synaptic and intrinsic activity-dependent processes employ similar mechanisms, it is important to note that modulatory tone also utilizes the same elements to persistently regulate ion current density in an activity-independent fashion (Rodgers et al., 2011b).
Dopaminergic Tone Acts Over Two Distinct Time Scales to Co-Regulate IA and Ih
The balance of ion conductances, rather than the absolute number of ion channels, can determine certain features of neuronal activity (Marder, 2011). It appears that several mechanisms can control the balance of the same conductance pair. Different mechanisms may predominate in each cell type; for example, GABAA receptors and HCN1 channels co-vary to maintain hippocampal neuron resting membrane potential (Bonin et al., 2013), but in cortical pyramidal neurons, these two conductances vary inversely to maintain excitatory post synaptic potential summation (Chen et al., 2010). Even within the same cell type, two conductances can be co-regulated by multiple mechanisms that act over distinct time scales. In LP, IA and Ih densities are coordinated by at least three distinct mechanisms in order to maintain the timing of LP activity; and, for two of the mechanisms, dopaminergic tone was shown to play a permissive role. In the first, most rapid mechanism, activation of high affinity D1Rs conferred activity-dependence upon LP Ih. Alterations in LP activity that advanced LP firing phase largely due to a decrease in LP IA triggered a rapid compensatory decrease in LP Ih to restore the timing of the LP activity phase (Krenz et al., 2013). Activation of high affinity LP D1Rs also enabled co-regulation of LP IA and Ih through a second, slower process described here. Collectively, our work shows that an increase in dopaminergic tone produces a slow increase in LP IA Gmax, independent of LP Ih; however, when LP activity changes, then the same DA-enabled mechanism is engaged to increase LP Ih Gmax. In another study, overexpression of Kv4 channels in LP neurons increased LP IA over days in organ culture and triggered a compensatory increase in LP Ih through a third, activity-independent mechanism (MacLean et al., 2003, 2005). Descending modulatory inputs were intact in the latter study, but it is unclear if modulatory tone played a role. It has been demonstrated that other modulators can maintain activity and conductance ratios over the long-term, and removal of modulators appears to change the ratios that are maintained (Rezer and Moulins, 1992; Thoby-Brisson and Simmers, 1998, 2002; Khorkova and Golowasch, 2007). Taken together, the data suggest that modulatory tone may influence neuronal identity by determining which homeostatic mechanisms are in play.
Dopaminergic Tone May Persistently Regulate Voltage-Gated Conductances in Other Cell Types
If regulation of voltage-gated conductances by modulatory tone is widespread, then the findings presented here could have important implications for neurological and psychiatric disorders involving disruptions in dopaminergic tone. For example, in a mouse model of Parkinson’s disease, dopaminergic tone was severely attenuated and Ih was persistently reduced in globus pallidus neurons (Chan et al., 2011). Since DA receptors are expressed in rodent globus pallidus neurons (Mansour et al., 1990; Marshall et al., 2001; Araki et al., 2007), the reduction in Ih could potentially be explained by a lack of normal DA-enabled, activity-dependent compensation.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
An, W. F., Bowlby, M. R., Betty, M., Cao, J., Ling, H. P., Mendoza, G., et al. (2000). Modulation of A-type potassium channels by a family of calcium sensors. Nature 403, 553–556. doi: 10.1038/35000592
Araki, K. Y., Sims, J. R., and Bhide, P. G. (2007). Dopamine receptor mRNA and protein expression in the mouse corpus striatum and cerebral cortex during pre- and postnatal development. Brain Res. 1156, 31–45. doi: 10.1016/j.brainres.2007.04.043
Ashraf, S. I., McLoon, A. L., Sclarsic, S. M., and Kunes, S. (2006). Synaptic protein synthesis associated with memory is regulated by the RISC pathway in Drosophila. Cell 124, 191–205. doi: 10.1016/j.cell.2005.12.017
Baro, D. J., Ayali, A., French, L., Scholz, N. L., Labenia, J., Lanning, C. C., et al. (2000). Molecular underpinnings of motor pattern generation: differential targeting of shal and shaker in the pyloric motor system. J. Neurosci. 20, 6619–6630.
Baro, D. J., Cole, C. L., Zarrin, A. R., Hughes, S., and Harris-Warrick, R. M. (1994). Shab gene expression in identified neurons of the pyloric network in the lobster stomatogastric ganglion. Receptors Channels 2, 193–205.
Baro, D. J., Levini, R. M., Kim, M. T., Willms, A. R., Lanning, C. C., Rodriguez, H. E., et al. (1997). 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. 17, 6597–6610.
Beaumont, V., Zhong, N., Fletcher, R., Froemke, R. C., and Zucker, R. S. (2001). Phosphorylation and local presynaptic protein synthesis in calcium- and calcineurin-dependent induction of crayfish long-term facilitation. Neuron 32, 489–501. doi: 10.1016/s0896-6273(01)00483-4
Bonin, R. P., Zurek, A. A., Yu, J., Bayliss, D. A., and Orser, B. A. (2013). Hyperpolarization-activated current (In) is reduced in hippocampal neurons from Gabra5–/– mice. PLoS One 8:e58679. doi: 10.1371/journal.pone.0058679
Casadio, A., Martin, K. C., Giustetto, M., Zhu, H., Chen, M., Bartsch, D., et al. (1999). A transient, neuron-wide form of CREB-mediated long-term facilitation can be stabilized at specific synapses by local protein synthesis. Cell 99, 221–237. doi: 10.1016/s0092-8674(00)81653-0
Chan, C. S., Glajch, K. E., Gertler, T. S., Guzman, J. N., Mercer, J. N., Lewis, A. S., et al. (2011). HCN channelopathy in external globus pallidus neurons in models of Parkinson’s disease. Nat. Neurosci. 14, 85–92. doi: 10.1038/nn.2692
Chen, X., Shu, S., Schwartz, L. C., Sun, C., Kapur, J., and Bayliss, D. A. (2010). Homeostatic regulation of synaptic excitability: tonic GABA(A) receptor currents replace I(h) in cortical pyramidal neurons of HCN1 knock-out mice. J. Neurosci. 30, 2611–2622. doi: 10.1523/JNEUROSCI.3771-09.2010
Cohen, J. E., Lee, P. R., Chen, S., Li, W., and Fields, R. D. (2011). MicroRNA regulation of homeostatic synaptic plasticity. Proc. Natl. Acad. Sci. U S A 108, 11650–11655. doi: 10.1073/pnas.1017576108
Dixon, D., and Atwood, H. L. (1989). Conjoint action of phosphatidylinositol and adenylate cyclase systems in serotonin-induced facilitation at the crayfish neuromuscular junction. J. Neurophysiol. 62, 1251–1259.
Eiring, A. M., Harb, J. G., Neviani, P., Garton, C., Oaks, J. J., Spizzo, R., et al. (2010). miR-328 functions as an RNA decoy to modulate hnRNP E2 regulation of mRNA translation in leukemic blasts. Cell 140, 652–665. doi: 10.1016/j.cell.2010.01.007
Erxleben, C. F., deSantis, A., and Rathmayer, W. (1995). Effects of proctolin on contractions, membrane resistance, and non-voltage-dependent sarcolemmal ion channels in crustacean muscle fibers. J. Neurosci. 15, 4356–4369.
Fiore, R., Khudayberdiev, S., Christensen, M., Siegel, G., Flavell, S. W., Kim, T. K., et al. (2009). Mef2-mediated transcription of the miR379-410 cluster regulates activity-dependent dendritogenesis by fine-tuning Pumilio2 protein levels. EMBO J. 28, 697–710. doi: 10.1038/emboj.2009.10
Gkogkas, C., Sonenberg, N., and Costa-Mattioli, M. (2010). Translational control mechanisms in long-lasting synaptic plasticity and memory. J. Biol. Chem. 285, 31913–31917. doi: 10.1074/jbc.R110.154476
Graber, T. E., Hebert-Seropian, S., Khoutorsky, A., David, A., Yewdell, J. W., Lacaille, J. C., et al. (2013a). Reactivation of stalled polyribosomes in synaptic plasticity. Proc. Natl. Acad. Sci. U S A 110, 16205–16210. doi: 10.1073/pnas.1307747110
Hansen, K. F., Karelina, K., Sakamoto, K., Wayman, G. A., Impey, S., and Obrietan, K. (2013). miRNA-132: a dynamic regulator of cognitive capacity. Brain Struct. Funct. 218, 817–831. doi: 10.1007/s00429-012-0431-4
Harris-Warrick, R. M., Coniglio, L. M., Levini, R. M., Gueron, S., and Guckenheimer, J. (1995). Dopamine modulation of two subthreshold currents produces phase shifts in activity of an identified motoneuron. J. Neurophysiol. 74, 1404–1420.
Heinrich, E. M., Wagner, J., Kruger, M., John, D., Uchida, S., Weigand, J. E., et al. (2013). Regulation of miR-17-92a cluster processing by the microRNA binding protein SND1. FEBS Lett. 587, 2405–2411. doi: 10.1016/j.febslet.2013.06.008
Heinzel, H. G., Weimann, J. M., and Marder, E.. (1993). The behavioral repertoire of the gastric mill in the crab, Cancer pagurus: an in situ endoscopic and electrophysiological examination. J. Neurosci. 13, 1793–1803.
Howe, M. W., Tierney, P. L., Sandberg, S. G., Phillips, P. E., and Graybiel, A. M. (2013). Prolonged dopamine signalling in striatum signals proximity and value of distant rewards. Nature 500, 575–579. doi: 10.1038/nature12475
Impey, S., Davare, M., Lasiek, A., Fortin, D., Ando, H., Varlamova, O., et al. (2010). An activity-induced microRNA controls dendritic spine formation by regulating Rac1-PAK signaling. Mol. Cell. Neurosci. 43, 146–156. doi: 10.1016/j.mcn.2009.10.005
Johnson, B. R., Kloppenburg, P., and Harris-Warrick, R. M. (2003). Dopamine modulation of calcium currents in pyloric neurons of the lobster stomatogastric ganglion. J. Neurophysiol. 90, 631–643. doi: 10.1152/jn.00037.2003
Kiehn, O., and Harris-Warrick, R. M. (1992). 5-HT modulation of hyperpolarization-activated inward current and calcium-dependent outward current in a crustacean motor neuron. J. Neurophysiol. 68, 496–508.
Kloppenburg, P., Zipfel, W. R., Webb, W. W., and Harris-Warrick, R. M. (2007). Heterogeneous effects of dopamine on highly localized, voltage-induced Ca2+ accumulation in identified motoneurons. J. Neurophysiol. 98, 2910–2917. doi: 10.1152/jn.00660.2007
Krenz, W. D., Hooper, R. M., Parker, A. R., Prinz, A. A., and Baro, D. J. (2013). Activation of high and low affinity dopamine receptors generates a closed loop that maintains a conductance ratio and its activity correlate. Front. Neural Circuits 7:169. doi: 10.3389/fncir.2013.00169
Krol, J., Busskamp, V., Markiewicz, I., Stadler, M. B., Ribi, S., Richter, J., et al. (2010). Characterizing light-regulated retinal microRNAs reveals rapid turnover as a common property of neuronal microRNAs. Cell 141, 618–631. doi: 10.1016/j.cell.2010.03.039
Lin, L., Sun, W., Wikenheiser, A. M., Kung, F., and Hoffman, D. A. (2010). KChIP4a regulates Kv4.2 channel trafficking through PKA phosphorylation. Mol. Cell. Neurosci. 43, 315–325. doi: 10.1016/j.mcn.2009.12.005
Ma, F., Liu, X., Li, D., Wang, P., Li, N., Lu, L., et al. (2010). MicroRNA-466l upregulates IL-10 expression in TLR-triggered macrophages by antagonizing RNA-binding protein tristetraprolin-mediated IL-10 mRNA degradation. J. Immunol. 184, 6053–6059. doi: 10.4049/jimmunol.0902308
MacLean, J. N., Zhang, Y., Goeritz, M. L., Casey, R., Oliva, R., Guckenheimer, J., et al. (2005). Activity-independent coregulation of IA and Ih in rhythmically active neurons. J. Neurophysiol. 94, 3601–3617. doi: 10.1152/jn.00281.2005
Mansour, A., Meador-Woodruff, J. H., Bunzow, J. R., Civelli, O., Akil, H., and Watson, S. J. (1990). Localization of dopamine D2 receptor mRNA and D1 and D2 receptor binding in the rat brain and pituitary: an in situ hybridization-receptor autoradiographic analysis. J. Neurosci. 10, 2587–2600.
Marshall, J. F., Henry, B. L., Billings, L. M., and Hoover, B. R. (2001). The role of the globus pallidus D2 subfamily of dopamine receptors in pallidal immediate early gene expression. Neuroscience 105, 365–378. doi: 10.1016/s0306-4522(01)00180-4
McCann, C., Holohan, E. E., Das, S., Dervan, A., Larkin, A., Lee, J. A., et al. (2011). The Ataxin-2 protein is required for microRNA function and synapse-specific long-term olfactory habituation. Proc. Natl. Acad. Sci. U S A 108, E655–E662. doi: 10.1073/pnas.1107198108
Meijer, H. A., Kong, Y. W., Lu, W. T., Wilczynska, A., Spriggs, R. V., Robinson, S. W., et al. (2013). Translational repression and eIF4A2 activity are critical for microRNA-mediated gene regulation. Science 340, 82–85. doi: 10.1126/science.1231197
Nirogi, R., Komarneni, P., Kandikere, V., Boggavarapu, R., Bhyrapuneni, G., Benade, V., et al. (2013). A sensitive and selective quantification of catecholamine neurotransmitters in rat microdialysates by pre-column dansyl chloride derivatization using liquid chromatography-tandem mass spectrometry. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 913–914, 41–47. doi: 10.1016/j.jchromb.2012.09.034
Nudelman, A. S., DiRocco, D. P., Lambert, T. J., Garelick, M. G., Le, J., Nathanson, N. M., et al. (2010). Neuronal activity rapidly induces transcription of the CREB-regulated microRNA-132, in vivo. Hippocampus 20, 492–498. doi: 10.1002/hipo.20646
Oginsky, M. F., Rodgers, E. W., Clark, M. C., Simmons, R., Krenz, W. D., and Baro, D. J. (2010). 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. 518, 255–276. doi: 10.1002/cne.22225
Owesson-White, C. A., Roitman, M. F., Sombers, L. A., Belle, A. M., Keithley, R. B., Peele, J. L., et al. (2012). Sources contributing to the average extracellular concentration of dopamine in the nucleus accumbens. J. Neurochem. 121, 252–262. doi: 10.1111/j.1471-4159.2012.07677.x
Parker, J. S., Roe, S. M., and Barford, D. (2004). Crystal structure of a PIWI protein suggests mechanisms for siRNA recognition and slicer activity. EMBO J. 23, 4727–4737. doi: 10.1038/sj.emboj.7600488
Park, J., Takmakov, P., and Wightman, R. M. (2011). In vivo comparison of norepinephrine and dopamine release in rat brain by simultaneous measurements with fast-scan cyclic voltammetry. J. Neurochem. 119, 932–944. doi: 10.1111/j.1471-4159.2011.07494.x
Rajasethupathy, P., Antonov, I., Sheridan, R., Frey, S., Sander, C., Tuschl, T., et al. (2012). A role for neuronal piRNAs in the epigenetic control of memory-related synaptic plasticity. Cell 149, 693–707. doi: 10.1016/j.cell.2012.02.057
Rajasethupathy, P., Fiumara, F., Sheridan, R., Betel, D., Puthanveettil, S. V., Russo, J. J., et al. (2009). Characterization of small RNAs in Aplysia reveals a role for miR-124 in constraining synaptic plasticity through CREB. Neuron 63, 803–817. doi: 10.1016/j.neuron.2009.05.029
Rodgers, E. W., Fu, J. J., Krenz, W. D., and Baro, D. J. (2011a). 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. 31, 16387–16397. doi: 10.1523/JNEUROSCI.3770-11.2011
Rodgers, E. W., Krenz, W. D., and Baro, D. J. (2011b). Tonic dopamine induces persistent changes in the transient potassium current through translational regulation. J. Neurosci. 31, 13046–13056. doi: 10.1523/JNEUROSCI.2194-11.2011
Rodgers, E. W., Krenz, W. D., Jiang, X., Li, L., and Baro, D. J. (2013). Dopaminergic tone regulates transient potassium current maximal conductance through a translational mechanism requiring D1Rs, cAMP/PKA, Erk and mTOR. BMC Neurosci. 14:143. doi: 10.1186/1471-2202-14-143
Saba, R., Storchel, P. H., Aksoy-Aksel, A., Kepura, F., Lippi, G., Plant, T. D., et al. (2012). Dopamine-regulated microRNA MiR-181a controls GluA2 surface expression in hippocampal neurons. Mol. Cell. Biol. 32, 619–632. doi: 10.1128/MCB.05896-11
Santoro, B., Hu, L., Liu, H., Saponaro, A., Pian, P., Piskorowski, R. A., et al. (2011). TRIP8b regulates HCN1 channel trafficking and gating through two distinct C-terminal interaction sites. J. Neurosci. 31, 4074–4086. doi: 10.1523/JNEUROSCI.5707-10.2011
Santoro, B., Piskorowski, R. A., Pian, P., Hu, L., Liu, H., and Siegelbaum, S. A. (2009). TRIP8b splice variants form a family of auxiliary subunits that regulate gating and trafficking of HCN channels in the brain. Neuron 62, 802–813. doi: 10.1016/j.neuron.2009.05.009
Schicknick, H., Schott, B. H., Budinger, E., Smalla, K. H., Riedel, A., Seidenbecher, C. I., et al. (2008). Dopaminergic modulation of auditory cortex-dependent memory consolidation through mTOR. Cereb. Cortex 18, 2646–2658. doi: 10.1093/cercor/bhn026
Sehgal, M., Song, C., Ehlers, V. L., and Moyer, J. R. Jr. (2013). Learning to learn—intrinsic plasticity as a metaplasticity mechanism for memory formation. Neurobiol. Learn. Mem. 105, 186–199. doi: 10.1016/j.nlm.2013.07.008
Selverston, A. I., Russell, D. F., and Miller, J. P. (1976). The stomatogastric nervous system: structure and function of a small neural network. Prog. Neurobiol. 7, 215–290. doi: 10.1016/0301-0082(76)90008-3
Shabb, J. B. (2011). “Cyclic nucleotide specificity and cross-activation of cyclic nucleotide receptors,” inTransduction Mechanisms in Cellular Signaling, eds E. A. Dennis, and R. A. Bradshaw (Oxford, UK: Academic Press), 441–446.
Smith, W. B., Starck, S. R., Roberts, R. W., and Schuman, E. M. (2005). Dopaminergic stimulation of local protein synthesis enhances surface expression of GluR1 and synaptic transmission in hippocampal neurons. Neuron 45, 765–779. doi: 10.1016/j.neuron.2005.01.015
Sosanya, N. M., Huang, P. P., Cacheaux, L. P., Chen, C. J., Nguyen, K., Perrone-Bizzozero, N. I., et al. (2013). Degradation of high affinity HuD targets releases Kv1.1 mRNA from miR-129 repression by mTORC1. J. Cell. Biol. 202, 53–69. doi: 10.1083/jcb.201212089
Steinberg, E. E., Keiflin, R., Boivin, J. R., Witten, I. B., Deisseroth, K., and Janak, P. H. (2013). A causal link between prediction errors, dopamine neurons and learning. Nat. Neurosci. 16, 966–973. doi: 10.1038/nn.3413
Tan, X., Wang, S., Yang, B., Zhu, L., Yin, B., Chao, T., et al. (2012a). The CREB-miR-9 negative feedback minicircuitry coordinates the migration and proliferation of glioma cells. PLoS One 7:e49570. doi: 10.1371/journal.pone.0049570
Tan, X., Wang, S., Zhu, L., Wu, C., Yin, B., Zhao, J., et al. (2012b). cAMP response element-binding protein promotes gliomagenesis by modulating the expression of oncogenic microRNA-23a. Proc. Natl. Acad. Sci. U S A 109, 15805–15810. doi: 10.1073/pnas.1207787109
Temporal, S., Desai, M., Khorkova, O., Varghese, G., Dai, A., Schulz, D. J., et al. (2012). Neuromodulation independently determines correlated channel expression and conductance levels in motor neurons of the stomatogastric ganglion. J. Neurophysiol. 107, 718–727. doi: 10.1152/jn.00622.2011
Thoby-Brisson, M., and Simmers, J. (1998). Neuromodulatory inputs maintain expression of a lobster motor pattern-generating network in a modulation-dependent state: evidence from long-term decentralization in vitro. J. Neurosci. 18, 2212–2225.
Thoby-Brisson, M., and Simmers, J. (2002). Long-term neuromodulatory regulation of a motor pattern-generating network: maintenance of synaptic efficacy and oscillatory properties. J. Neurophysiol. 88, 2942–2953. doi: 10.1152/jn.00482.2001
Till, S., Lejeune, E., Thermann, R., Bortfeld, M., Hothorn, M., Enderle, D., et al. (2007). A conserved motif in Argonaute-interacting proteins mediates functional interactions through the Argonaute PIWI domain. Nat. Struct. Mol. Biol. 14, 897–903. doi: 10.1038/nsmb1302
Trantham-Davidson, H., Neely, L. C., Lavin, A., and Seamans, J. K. (2004). Mechanisms underlying differential D1 versus D2 dopamine receptor regulation of inhibition in prefrontal cortex. J. Neurosci. 24, 10652–10659. doi: 10.1523/jneurosci.3179-04.2004
Tsai, N. P., Lin, Y. L., and Wei, L. N. (2009). MicroRNA mir-346 targets the 5′-untranslated region of receptor-interacting protein 140 (RIP140) mRNA and up-regulates its protein expression. Biochem. J. 424, 411–418. doi: 10.1042/BJ20090915
Vo, N., Klein, M. E., Varlamova, O., Keller, D. M., Yamamoto, T., Goodman, R. H., et al. (2005). A cAMP-response element binding protein-induced microRNA regulates neuronal morphogenesis. Proc. Natl. Acad. Sci. U S A 102, 16426–16431. doi: 10.1073/pnas.0508448102
Wall, V. Z., Parker, J. G., Fadok, J. P., Darvas, M., Zweifel, L., and Palmiter, R. D. (2011). A behavioral genetics approach to understanding D1 receptor involvement in phasic dopamine signaling. Mol. Cell. Neurosci. 46, 21–31. doi: 10.1016/j.mcn.2010.09.011
Wang, D. O., Kim, S. M., Zhao, Y., Hwang, H., Miura, S. K., Sossin, W. S., et al. (2009). Synapse- and stimulus-specific local translation during long-term neuronal plasticity. Science 324, 1536–1540. doi: 10.1126/science.1173205
Wen, W., and Taylor, S. S. (1994). High affinity binding of the heat-stable protein kinase inhibitor to the catalytic subunit of cAMP-dependent protein kinase is selectively abolished by mutation of Arg133. J. Biol. Chem. 269, 8423–8430.
Wibrand, K., Panja, D., Tiron, A., Ofte, M. L., Skaftnesmo, K. O., Lee, C. S., et al. (2010). Differential regulation of mature and precursor microRNA expression by NMDA and metabotropic glutamate receptor activation during LTP in the adult dentate gyrus in vivo. Eur. J. Neurosci. 31, 636–645. doi: 10.1111/j.1460-9568.2010.07112.x
Yanow, S. K., Manseau, F., Hislop, J., Castellucci, V. F., and Sossin, W. S. (1998). Biochemical pathways by which serotonin regulates translation in the nervous system of Aplysia. J. Neurochem. 70, 572–583. doi: 10.1046/j.1471-4159.1998.70020572.x
Yuan, S., and Burrell, B. D. (2013). Endocannabinoid-dependent long-term depression in a nociceptive synapse requires coordinated presynaptic and postsynaptic transcription and translation. J. Neurosci. 33, 4349–4358. doi: 10.1523/JNEUROSCI.3922-12.2013
Zhang, Y., MacLean, J. N., An, W. F., Lanning, C. C., and Harris-Warrick, R. M. (2003). KChIP1 and frequenin modify shal-evoked potassium currents in pyloric neurons in the lobster stomatogastric ganglion. J. Neurophysiol. 89, 1902–1909. doi: 10.1152/jn.00837.2002
Zhang, H., Rodgers, E. W., Krenz, W. D., Clark, M. C., and Baro, D. J. (2010). Cell specific dopamine modulation of the transient potassium current in the pyloric network by the canonical D1 receptor signal transduction cascade. J. Neurophysiol. 104, 873–884. doi: 10.1152/jn.00195.2010
Zoli, M., Torri, C., Ferrari, R., Jansson, A., Zini, I., Fuxe, K., et al. (1998). The emergence of the volume transmission concept. Brain Res. Brain Res. Rev. 26, 136–147. doi: 10.1016/S0165-0173(97)00048-9
Keywords: stomatogastric, Kv4, HCN, small noncoding RNA, argonaute, conductance ratio, crustacean, activity-dependent
Citation: Krenz W-DC, Parker AR, Rodgers EW and Baro DJ (2014) Dopaminergic tone persistently regulates voltage-gated ion current densities through the D1R-PKA axis, RNA polymerase II transcription, RNAi, mTORC1, and translation. Front. Cell. Neurosci. 8:39. doi: 10.3389/fncel.2014.00039
Received: 21 November 2013; Accepted: 27 January 2014;
Published online: 17 February 2014.
Edited by:Andreas Frick, Institut National de la Santé et de la Recherche Médicale, France
Reviewed by:Amiel Rosenkranz, RFUMS - Chicago Medical School, USA
Muriel Thoby-Brisson, University Bordeaux, France
Copyright © 2014 Krenz, Parker, Rodgers and Baro. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Deborah J. Baro, Department of Biology, Georgia State University, 50 Decatur Street, Atlanta, GA 30303, USA e-mail: email@example.com