Abstract
Serotonin (5-hydroxytryptamine; 5-HT) signaling through the 5-HT2C receptor (5-HT2CR) is essential in normal physiology, whereas aberrant 5-HT2CR function is thought to contribute to the pathogenesis of multiple neural disorders. The 5-HT2CR interacts with specific protein partners, but the impact of such interactions on 5-HT2CR function is poorly understood. Here, we report convergent cellular and behavioral data that the interaction between the 5-HT2CR and protein phosphatase and tensin homolog (PTEN) serves as a regulatory mechanism to control 5-HT2CR-mediated biology but not that of the closely homologous 5-HT2AR. A peptide derived from the third intracellular loop of the human 5-HT2CR [3L4F (third loop, fourth fragment)] disrupted the association, allosterically augmented 5-HT2CR-mediated signaling in live cells, and acted as a positive allosteric modulator in rats in vivo. We identified the critical residues within an 8 aa fragment of the 3L4F peptide that maintained efficacy (within the picomolar range) in live cells similar to that of the 3L4F peptide. Last, molecular modeling identified key structural features and potential interaction sites of the active 3L4F peptides against PTEN. These compelling data demonstrate the specificity and importance of this protein assembly in cellular events and behaviors mediated by 5-HT2CR signaling and provide a chemical guidepost to the future development of drug-like peptide or small-molecule inhibitors as neuroprobes to study 5-HT2CR allostery and therapeutics for 5-HT2CR-mediated disorders.
Introduction
Serotonin (5-HT) signaling through the 5-HT2C receptor (5-HT2CR) is essential in normal physiology (e.g., appetite) (Heisler et al., 2003) and influences the pathogenesis of psychiatric (e.g., addictions), neurological (e.g., epilepsy), and eating and metabolic disorders (Bubar and Cunningham, 2008; Kennett and Clifton, 2010; Rosenzweig-Lipson, 2011). This G-protein-coupled receptor (GPCR) is expressed prominently in brain (Mengod et al., 1990), particularly within limbic–corticostriatal circuitry involved in reward, motivation, and cognition (Pompeiano et al., 1994; Mengod et al., 1996; Liu et al., 2007; Anastasio et al., 2010). The 5-HT2CR undergoes a dynamic conformational change during agonist binding and activation of intracellular signaling. Best characterized is coupling of the 5-HT2CR to Gαq/11 to activate phospholipase-Cβ-mediated signaling, leading to increased intracellular calcium release and activation of downstream effectors (Raymond et al., 2001; Millan et al., 2008).
The sequence of ligand binding to a GPCR and subsequent activation of downstream signaling can be positively or negatively modulated by binding of ligands at allosteric sites topographically distinct from the orthosteric ligand binding site (Agnati et al., 2011; Melancon et al., 2012). There are theoretical reasons (i.e., increased selectivity, upper ceiling effects, separate control of affinity and efficacy) as to why allosteric ligands may be preferred therapeutic chemical targets (Kenakin, 2010). Therefore, 5-HT2CR allosteric modulators present a novel drug design strategy (Im et al., 2003; Ding et al., 2012) to selectively tune up or down signaling in response to endogenous 5-HT in a site- and event-specific manner (Conn et al., 2009). Allostery could also be promoted through protein–protein interactions at the 5-HT2CR cytosolic face (Bécamel et al., 2002; Labasque et al., 2008), but the functional impact of such interactions over 5-HT2CR signaling is little studied. A protein–protein interaction of interest is the association between the third intracellular loop of the 5-HT2CR and protein phosphatase and tensin homolog (PTEN). A peptide fragment of the 5-HT2CR third intracellular loop [3L4F (third loop, fourth fragment)] was reported to disrupt the 5-HT2CR–PTEN complex as well as PTEN-mediated dephosphorylation of 5-HT2CR in PC12 cells (Ji et al., 2006). The 3L4F peptide, conjugated to the cell-penetrant TAT, exhibited an initial in vivo profile consistent with 5-HT2CR agonism in rats (Ji et al., 2006). Given the role of the 5-HT2CR third intracellular loop in G-protein selectivity and activation (Cheung et al., 1992), the 5-HT2CR–PTEN complex may regulate 5-HT2CR coupling to its effector pathway(s), and disruption of the 5-HT2CR–PTEN complex may enhance 5-HT2CR-mediated signaling.
Here, we further investigated the function of the 5-HT2CR–PTEN complex. We show that this protein–protein interaction mediates a saturable and positive allosterism of 5-HT2CR over downstream signaling in live cells and is specific to 5-HT2CR relative to the homologous 5-HT2AR. We provide evidence that 3L4F is a positive allosteric modulator in rats in vivo. Last, molecular modeling identified key structural features and potential interaction sites of the active 3L4F peptide derivatives. Convergent cellular, behavioral, and modeling data demonstrate a distinct role for the 5-HT2CR–PTEN complex in 5-HT2CR signaling, define positive allosteric modulatory actions of new peptide disrupters, and provide models that predict the pharmacophore for the active peptides.
Materials and Methods
Cell lines and cell culture
The parental Chinese hamster ovary (CHO) K1, the 5-HT2AR–CHO, and 5-HT2CR–CHO cell lines were generous gifts from Drs. K. Berg and W. Clarke from the University of Texas Health Science Center at San Antonio (San Antonio, TX). The 5-HT2AR line was transfected with the human 5-HT2AR, and the 5-HT2CR line was transfected with the nonedited human 5-HT2CR in the p198–DHFR–Hygro vector containing a hygromycin resistance gene (Berg et al., 1994). Reverse transcription of RNA followed by quantitative real-time PCR confirmed (data not shown) that the 5-HT2AR–CHO cell line expressed the human 5-HT2AR transcript but not the human 5-HT2CR transcript or protein (Berg et al., 2001). The 5-HT2CR–CHO cell line expressed the human 5-HT2CR transcript but not the human 5-HT2AR transcript (Berg et al., 2001), and the parental cell line did not express detectable amounts of either mRNA or protein (Berg et al., 2001; Anastasio et al., 2010). Cells were grown in GlutaMax–αMEM (Invitrogen) at 37°C, 5% CO2, and 85% relative humidity and were passaged at 80% confluence.
Ligands
5-HT (Acros Organics, Thermo Fisher Scientific) was dissolved in 1× HBSS (Cellgro; Invitrogen). WAY163909 [(7bR, 10aR)-1,2,3,4,8,9,10,10a-octahydro-7bH-cyclopenta-(b)(1,4)diazepino (6,7,1hi)indole; a gift from Pfizer] was dissolved in 0.9% NaCl. SB242084 [6-chloro-5-methyl-1-((2-(2-methylpyrid-3-yloxy) pyrid-5-yl)carbamoyl)indoline dihydrochloride; Sigma] was dissolved in 1× HBSS containing 10 mmol/L citric acid (Sigma) and 8% 2-hydroxypropyl-β-cyclodextrin (Trappsol Hydroxypropyl Beta Cyclodextrin, pharmaceutical grade; Cyclodextrin Technologies Development) with the final pH adjusted to 5.6.
Peptides
The 3L4F peptide (Ac-PNQDQNARRRKKKERR-NH2; Pro280–Arg295 of the human 5-HT2CR) and the 3L4F peptide fragments [3L4F-F1 (Ac-PNQDQNAR-NH2; Pro280–Arg287 of the human 5-HT2CR), 3L4F-F2 (Ac-QNARRRKK-NH2; Gln284–Lys291 of the human 5-HT2CR), and 3L4F-F3 (Ac-RRKKKERR-NH2; Arg288–Arg295 of the human 5-HT2CR)] were synthesized by Drs. Anton Agarkov and Scott R. Gilbertson (University of Houston, Houston, TX) and dissolved in HBSS for cellular studies. The 3L4F and 3L4F fragment peptides were first synthesized on solid supports using standard FMOC chemistry, cleaved from the solid support, and purified (>95%) by HPLC, and characterized by mass spectrometry. The rat TAT–3L4F peptide [Ac-YGRKKRRQRRRPNPDQKPRRKKKEKR-NH2; TAT–Pro283–Arg297 of the rat 5-HT2CR (Ji et al., 2006)] was synthesized and HPLC purified by GenScript and dissolved in HBSS for cellular studies and 0.9% NaCl for behavioral studies.
Peptide modeling and docking
Replica exchange molecular dynamics (REMD) (Sugita and Okamoto, 1999) simulations were performed on both the 3L4F and 3L4F-F1 peptides using the temperature intervals with global energy reassignment strategy (Li et al., 2009) to predict the secondary structural content of the peptides. Molecular dynamics simulations for all simulation runs were performed using the parallel molecular dynamics software NAMD 2.6 [Not Another Molecular Dynamics Program (Phillips et al., 2005)] to compute dynamics trajectories using the CHARMM 27 (Chemistry at Harvard Macromolecular Mechanics 27) empirical force field (MacKerell et al., 1998). The 3L4F and 3L4F-F1 peptides were first generated in the extended conformation, followed by solvation with TIP3 explicit water molecules (Price and Brooks, 2004), after which counter ions were inserted to neutralize the system. Molecular dynamics trajectories were run for 50 ns each at 300,000, 378,000, 476,000, and 600,000 with an exchange frequency of 3 ps. The resultant 300,000 molecular dynamics trajectories were examined for secondary structure using dihedral principal component analysis [dPCA; implemented in Carma (Glykos, 2006)] because these conditions are the most physiologically relevant. The 3L4F-F1 peptide conformations were subject to coarse-grained cluster docking against the crystal structure of PTEN (Research Collaboratory for Structural Bioinformatics Protein Data Bank; www.rcsb.org; identification number 1D5R) using GRAMM [Global Range Molecular Matching (Vakser and Aflalo, 1994)] to predict the structural interaction of 3L4F-F1 with PTEN.
Circular dichroism (CD) analysis of protein conformations was used to experimentally evaluate the secondary structural content of the 3L4F and 3L4F-F1 peptides for comparison with the computational molecular dynamics simulation predictions (above). The spectra were collected on an OLIS 1000 spectrophotometer with scans from 195 to 255 nm averaged over three trial scans and 140 points with 2400 grating lines/mm. The instrument was calibrated with 250 μg/ml camphor sulfonic acid and 300 μg/ml BSA, and 3L4F and 3L4F-F1 samples were prepared in 100 or 300 μm concentrations in water to adjust the signal/noise resolution. The data were compared with Fasman standards (Greenfield and Fasman, 1969) supplemented with data for β-turns (Holde et al., 1998).
Physical analyses of 5-HT2CR–PTEN interaction
Membrane protein fractionation.
A crude membrane protein fraction from parental CHO, 5-HT2AR–CHO, or 5-HT2CR–CHO cells was used to assess the specificity of the 5-HT2CR–PTEN association via coimmunoprecipitation (co-IP) and Western blotting techniques as described previously (Anastasio et al., 2010). Cells were rinsed and scraped in ice-cold Krebs ' solution (in mm: 125 NaCl, 1.2 KCl, 1.2 MgSO4, 1.2 CaCl2, 22 Na2CO3, 1 NaH2PO4, and 10 glucose), centrifuged at 800 × g for 2 min to pellet the cells, and resuspended and homogenized in 200 μl of extraction buffer [10 mm HEPES, 1 mm EDTA, 2 mm EGTA, 1 mm DTT, protease inhibitor cocktail (10 μl/ml; Sigma), and phosphatase inhibitor cocktails 2 and 3 (10 μl/ml each; Sigma)]. After differential centrifugation, the membrane-enriched pellet was washed once and then resuspended in 200 μl of resuspension buffer (20 mm HEPES, 400 mm NaCl, 1 mm EDTA, 1 mm EGTA, 1 mm DTT, protease and phosphatase inhibitors, and 0.5% NP-40).
A crude membrane protein fraction from rat brain was used to assess peptide disruption of the 5-HT2CR–PTEN complex in vivo. The ventral tegmental area (VTA) was homogenized in 10 times w/v extraction buffer as described above. The homogenate was centrifuged at 1000 × g for 10 min at 4°C to pellet the nuclear fraction. The supernatant was removed and centrifuged at 20,000 × g at 4°C for 30 min to pellet the membrane-bound protein fraction. The membrane-enriched pellet was washed once and then resuspended in 200 μl of resuspension buffer (20 mm HEPES, 400 mm NaCl, 1 mm EDTA, 1 mm EGTA, 1 mm DTT, protease and phosphatase inhibitors, and 0.5% dodecyl maltoside).
Immunoprecipitation (IP) assays.
The 5-HT2R or PTEN antibodies (45 or 10 μg/reaction, respectively) were covalently crosslinked onto protein A/G resin according to the instructions of the manufacturer (Pierce Crosslink Immunoprecipitation Kit; Pierce Biotechnology) and as described previously (Anastasio et al., 2010). Precleared membrane protein (400–500 μg) was incubated with the antibody-crosslinked resin overnight at 4°C with constant shaking. The suspension was centrifuged at 1000 × g for 30 s, and the bound antigen–antibody-crosslinked resin was washed twice with IP lysis/wash buffer and then once with 1× conditioning buffer. The bound complex was incubated for 5 min at room temperature in elution buffer (Pierce Crosslink Immunoprecipitation Kit); the eluted antigen was subjected to cold acetone precipitation, and the protein sample was centrifuged at 15,000 × g for 10 min at 4°C. The acetone was decanted, and the precipitated protein was resuspended in 2× loading buffer and subjected to SDS-PAGE. Immunoblotting (IB) for 5-HT2R and PTEN was performed as described below.
Immunoblotting.
Total protein concentration was determined with the BCA assay (Pierce Biotechnology). Equal amounts of protein were reduced with Laemmli's sample buffer, heated for 20 min at 70°C, then separated by SDS-PAGE using 4–12% Bis-Tris gels (Invitrogen) for 2–3 h at 110 V. After gel electrophoresis, proteins were transferred to a PVDF membrane (Bio-Rad) via a wet-transfer electroblotting apparatus (Bio-Rad) overnight at 60 V (Anastasio et al., 2010). Western blot assays were conducted as follows: membranes were blocked with Odyssey blocking buffer [1:1 in Tris-buffered saline (TBS), pH 7.4; LI-COR Biosciences] for 1 h, followed by incubation with primary antibody overnight. Membranes were rinsed three time for 10 min in TBS plus 0.1% Tween 20 (TBS-T), incubated with secondary antibody for 45 min, then rinsed three times for 10 min in TBS-T. Immunoreactive bands were detected with the Odyssey Infrared Imaging System (LI-COR Biosciences).
Antibodies.
Primary antibodies included the following: mouse monoclonal 5-HT2CR (D-12, C-terminus epitope, 1:100, sc-17797; Santa Cruz Biotechnology); mouse monoclonal PTEN (04-035, C-terminus epitope, 1:1000; Millipore); rabbit polyclonal PTEN (07-1372, C-terminus epitope, 1:500; Millipore); and rabbit polyclonal 5-HT2AR (RA24288, N-terminus epitope, 1:100; Neuromics). Secondary antibodies (used at 1:10,000 for 1 h at room temperature) included the following: infrared-labeled goat anti-mouse (IRDye680, 926-32220; LI-COR Biosciences); goat anti-rabbit (IRDye800, 827-08365; LI-COR Biosciences); donkey anti-goat (IRDye800CW, 605-731-125; Rockland Immunochemicals); and sheep anti-mouse (IRDye680; Rockland Immunochemicals). For the Duolink proximity ligation assay (PLA), two proprietary, species-specific secondary antibodies conjugated to short DNA strands were used [PLA probe anti-mouse MINUS (92004-100) and PLA probe anti-rabbit PLUS (92002-0100; Olink Bioscience)].
Data analyses.
PVDF membranes were imaged using the Odyssey Infrared Imaging System (LI-COR Biosciences) at 700 and/or 800 nm at 169 μm resolution. The integrated intensity of each band was analyzed with the Odyssey Infrared Imaging System Application version 2.1 software. The ratio of the sample immunoreactive band intensity to β-actin immunoreactive band intensity was determined for normalization. A one-way ANOVA using the general linear model (GLM) procedure (SAS for Windows, version 9.3; SAS Institute) was used to assess differences in the density of 5-HT2CR–PTEN protein expression. A priori comparisons of the effects of 3L4F were conducted using Dunnett's procedure, with vehicle as the comparator. The α level for all analyses was set at p < 0.05.
Duolink PLA.
Immunocytochemical localization of 5-HT2CR–PTEN complexes was established via the Duolink PLA with a 5-HT2CR antibody raised to an epitope at the C terminus in mouse (Abbas et al., 2009; Anastasio et al., 2010), a PTEN antibody raised to an epitope at the C terminus in rabbit (Müller et al., 2011) and species-specific secondary antibodies conjugated to short DNA strands (see above). This assay was conducted in 5-HT2CR–CHO cells grown on coverslips, as described above. The Duolink PLA was performed according to the recommended protocol of the manufacturer with minor modifications. Cellular plasma membrane glycoproteins and glycolipids of live cells were labeled with fluorescent wheat germ agglutinin according to the protocol of the manufacturer (Invitrogen). Cells were then pretreated with vehicle (HBSS) or 1 pm 3L4F (15 min) and rapidly washed 2× in ice-cold Dulbecco's PBS (DPBS) and fixed in cold 4% paraformaldehyde (30 min). After fixation, cells were washed three times with DPBS, permeabilized with 0.25% Triton X-100 (15 min), and then washed three times with DPBS. Coverslips were incubated with 3% normal donkey serum for 1 h to block nonspecific antibody binding, followed by primary antibodies to 5-HT2CR (1:250) and PTEN (1:500) in 3% normal donkey serum overnight at 4°C. Coverslips were mounted onto slides with DAPI-containing medium.
The Duolink PLA signals were quantified from photomicrographs (Trifilieff et al., 2011) obtained with a Carl Zeiss LSM-510 META confocal microscope [100×, 1.40 numerical aperture oil-immersion objective (University of Texas Medical Branch Optical Microscopy Core, Galveston, TX)] after excitation at 364 and 543 nm with two different channels of emission with sequential acquisition. After excitation at 364 nm, emission was measured with a 385–470 nm filter; excitation at 543 nm emission was measured with a 560–615 nm filter. The Z-stack acquisition was performed at Z-steps of 0.3 μm. All images were collected using eight-frame Kallman averaging with a pixel time of 1.26 μs, voxel size of 120 × 120 × 60 nm, and a frame size of 1024 × 1024 pixels.
Data analyses.
Images were captured from a minimum of four fields of view [∼20–30 cells throughout the entire z-axis (20–30 planes per field of view)] per coverslip (two independent coverslips per condition). The rendering and quantification of Duolink PLA signals was calculated using automatic threshold and classification based on intensity and size of the spots (Imaris 7.0 Bitplane Scientific, Andor Technology). The number of Duolink PLA signals was normalized to DAPI-positive nuclei (Trifilieff et al., 2011). The effects of 3L4F were compared with vehicle by a Student's t test (SAS for Windows); α level set at p < 0.05.
Functional analyses of the 5-HT2CR–PTEN interaction in vitro
Intracellular calcium assay.
Changes in intracellular calcium (Cai2+) release were determined using the calcium-sensitive dye Calcium 4 (R8142; Molecular Devices) according to previously published protocols (Shashack et al., 2011; Ding et al., 2012; Seitz et al., 2012). Cells were plated in serum-replete medium at indicated densities in black-sided, clear-bottom 96-well tissue culture plates. Cells were fed 24 h later with serum-free medium, and, after overnight incubation, medium was removed and replaced with 80 μl of Calcium 4 dye solution dissolved in HBSS and supplemented with 2.5 mm water-soluble probenicid to inhibit transport of the dye to the outside of the cell. Plates were returned to the 37°C incubator for 60 min and then incubated for an additional 60 min at room temperature in the dark.
Fluorescence was measured with a FlexStation3 (Molecular Devices). The experiment started with establishment of baseline for 17 s after addition of vehicle (HBSS without calcium or magnesium). Addition of 5-HT [1 nm (approximate EC50) for 5-HT2CR–CHO cells or 10 nm (approximate EC50) for 5-HT2AR–CHO cells] or 20 nm WAY163909 (approximate EC50) for 5-HT2CR–CHO cells occurred at the 17 s time point, and fluorescence was recorded every 1.7 s for 90–120 s (Shashack et al., 2011; Ding et al., 2012; Seitz et al., 2012). To assess the effects of 3L4F on the concentration–response relationship for 5-HT in 5-HT2CR–CHO cells, addition of 5-HT (10 pm to 1 μm) occurred at the 17 s time point, and fluorescence was recorded every 1.7 s for 90–120 s (Shashack et al., 2011; Ding et al., 2012; Seitz et al., 2012). Preincubation with vehicle (HBSS), 3L4F peptide, or 3L4F peptide fragments occurred 15 min before the start of the experiment. Maximum peak height was determined by the FlexStation software (SoftMax Pro 5.2).
Data analyses.
Peak responses from each well were normalized to total cell mass as determined with crystal violet staining and then expressed as a percentage of the “control” Cai2+ response obtained with 1 nm 5-HT or 20 nm WAY163909 for 5-HT2CR–CHO cells or 10 nm 5-HT for 5-HT2AR–CHO cells (Shashack et al., 2011; Ding et al., 2012; Seitz et al., 2012). For 5-HT fold-shift analyses, peak responses from each well were normalized to total cell mass as determined with crystal violet staining and then expressed as a percentage of the maximum Cai2+ response obtained with 100 nm 5-HT in 5-HT2CR–CHO cells. Comparisons to analyze the effects of compounds on Cai2+ release were defined before the start of experiment; therefore, one-way repeated-measures ANOVA (SAS for Windows) and a priori comparisons of the treatment means versus control were made with Dunnett's procedure (peptide concentration–response curves) or Student's t test comparing the response at each 5-HT concentration with that in the presence of 1 pm 3L4F (5-HT fold-shift curve); α level was set at p < 0.05.
Functional analyses of the 5-HT2CR–PTEN interaction in vivo
Animals.
Male Sprague Dawley rats (Harlan) weighing 225–325 g at the start of the experiments were used (n = 60). Rats were allowed to acclimate for 5–7 d in a colony room at a constant temperature (21–23°C) and humidity (45–50%) on a 12 h light/dark cycle (lights on 7:00 A.M. to 7:00 P.M.). For co-IP studies, rats were anesthetized (chloral hydrate solution, 400 mg/kg) and decapitated, and the brain was microdissected immediately on a cool tray (4°C) (Heffner et al., 1980; Liu et al., 2007; Anastasio et al., 2010). Samples were flash frozen in liquid nitrogen and stored at −80°C for subsequent protein extraction. For locomotor studies, rats were housed four rats per cage with food and water ad libitum throughout all phases of the studies. For one-choice serial reaction time (1-CSRT) task training, rats were housed two per cage and food restricted to 90% of free-feeding weight for the duration of all experiments; water was available ad libitum except during daily 30–60 min operant sessions. All experiments were performed in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals and with the approval of the University of Texas Medical Branch Institutional Animal Care and Use Committee.
Locomotor activity.
Locomotor activity was monitored and quantified under low-light conditions using a modified open-field activity system (San Diego Instruments) according to previous publications with minor modifications (Cunningham et al., 2011). Clear Plexiglas chambers (40 × 40 × 40 cm) were surrounded by a 4 × 4 photobeam matrix positioned 4 cm from the chamber floor. Consecutive photobeam breaks within the 16 × 16 cm of the activity monitor were recorded as central ambulation. Peripheral ambulation was counted as consecutive beam breaks in the surrounding perimeter. Central and peripheral ambulations were summed to provide a measure of total horizontal ambulation. Vertical activity (i.e., rearing) was captured using a row of 16 photobeams positioned 16 cm from the activity monitor floor. Rats (n = 20) were acclimated to the colony room, and, after 1 week of handling, rats were habituated to the activity monitors for 30 min. The effects of rat TAT–3L4F alone or in combination with the selective 5-HT2CR agonist WAY163909 were established in a within-subjects design. To control for order effects, drug doses and vehicles were administered in random sequence to individual rats across sessions such that all rats received all treatment combinations and were tested every 3 d. On each test day, rats received vehicle (1 ml/kg saline, i.p.), rat TAT–3L4F (0.1 or 1 μmol/kg, i.p.), or the combination of rat TAT–3L4F (0.1 μmol/kg, i.p.) plus WAY163909 (1 mg/kg, i.p.) 15 min before placement in activity monitors; locomotor activity was assessed for 70 min. The combination of rat TAT–3L4F plus WAY163909 was administered simultaneously.
1-CSRT task.
The effects of the rat TAT–3L4F, the selective 5-HT2CR agonist WAY163909, or the combination of both on impulsive action were assessed in the 1-CSRT task as described previously (Anastasio et al., 2011; Cunningham et al., 2012). The 1-CSRT task is a variant of the 5-CSRT task (Dalley et al., 2002; Winstanley et al., 2004a; Anastasio et al., 2011; Cunningham et al., 2012) and provides information concerning the ability to withhold a prepotent response, a measure of impulsive action. In the 1-CSRT task, reinforcement is earned for the detection and correct responding to a brief visual stimulus presented regularly in a spatially predictable location. The 1-CSRT task procedures took place in standard five-hole nose-poke operant chambers (Med Associates) contained within a ventilated and sound-attenuating chamber. Each chamber was fitted with an array of five evenly spaced response apertures (2.5 × 2.5 × 2.2 cm) positioned 2 cm above a bar floor, and each aperture contained a stimulus light. Nose-poke responses into these apertures were detected by a horizontally positioned infrared beam located 1 cm from the entrance to each hole. The chambers are also fitted on the opposite wall with a house light, food tray, and an external pellet dispenser capable of delivering 45 mg pellets (Dustless Precision pellets; Bio-Serv). The chambers were connected via an interface (Med Associates) to a personal computer running Med PC for Windows software (Med Associates) that controlled and recorded all experimental events.
1-CSRT task training.
Rats (n = 32) were allowed 1 week to acclimate to the colony after which food restriction began. Rats were weighed daily to ensure that body weights were maintained at 90% of free-feeding levels throughout 1-CSRT task training. Training began with a pretraining stage in which the rat was habituated to the test chamber and introduced to nose-poke responding for food pellets. During this stage, all responses made in the correctly lit (center) hole resulted in the illumination of the magazine light and presentation of a single food pellet. The training stages thereafter each comprised daily sessions of 100 trials to be completed in a maximum of 30 min; each training stage involved incrementally lowering the stimulus duration with a 5 s limited hold and an intertrial interval (ITI) of 5 s. Thus, a maximum of 100 correct responses in a session would result in a maximum of 100 reinforcers delivered; incorrect or premature responses or omissions resulted in a 5 s timeout period and a reduction in potential reinforcers obtained. Rats were required to meet an acquisition criteria of a minimum of 50 correct responses, >80% accuracy [correct responses/(correct + incorrect) × 100], and <20% omissions (omitted responses/trials completed × 100) to move from one training stage to the next (for details, see Anastasio et al., 2011).
Pharmacological test sessions commenced after animals met the stable training criteria of >80% accuracy and <20% omissions for five consecutive training sessions on the final training stage (0.5 s stimulus duration, 5 s limited hold, 5 s ITI) with <15% variability across sessions. Pretreatment with (1) vehicle (0.9% saline, i.p.), (2) WAY163909 (0.05, 0.1, 0.2, 0.1, and 1 mg/kg, i.p), (3) rat TAT–3L4F (0.3 μmol/kg, i.p.), or (4) rat TAT–3L4F (0.3 μmol/kg, i.p.) plus WAY163909 (0.1 mg/kg) occurred 15 min before the start of the 1-CSRT task session. The combination of rat TAT–3L4F plus WAY163909 was administered simultaneously.
Data analyses.
Locomotor activity data are presented as mean total horizontal ambulation, total vertical activity, peripheral ambulation, or central ambulation (± SEM) over the entire 70 min session or within 5 min time bins across the session. A two-way ANOVA for repeated measures for the factors of treatment and time was conducted. The main effect of treatment on total horizontal ambulation, total vertical activity, peripheral ambulation, and central ambulation was analyzed with a repeated-measures, one-way ANOVA using the GLM procedure (SAS for Windows). Subsequent a priori comparisons between means for total horizontal ambulation, total vertical activity, peripheral ambulation, and central ambulation were made using the Dunnett's procedure, with vehicle (saline) as the comparator. During the 1-CSRT task, the total number of responses (correct, incorrect, omissions, and premature) as well as the latency to start the task (seconds), time to finish (minutes), and reinforcer latency (time to retrieve reinforcer; minutes) were recorded. Incorrect responses consistently accounted for <5% of total responses during 1-CSRT task test sessions because rats were well trained. Percentage accuracy was used as an indication of the attentional capacity of each rat. Percentage omissions indicated the motivation level of each rat to perform the task. Responses during the ITI (premature responses) and the number of reinforcers earned during the 1-CSRT task were used to measure impulsive action. Responses on pharmacological test sessions are presented as the percentage of values observed on the training session 1 d before the pharmacological test session; before this session, rats were injected with saline (control). Because group comparisons were specifically defined before the start of the experiment, preplanned comparisons were conducted after an overall F test in a multifactorial ANOVA (Keppel, 1973). Thus, comparisons to analyze the effects of TAT–3L4F, WAY163909, and TAT–3L4F plus WAY163909 on percentage accuracy, percentage omissions, time to start, time to finish, reinforcer latency, premature responses, and reinforcers earned were subjected to a one-way repeated-measures ANOVA, and a priori comparisons of the treatment means versus saline were made with Dunnett's procedure (SAS for windows); α level for all analyses was set to p < 0.05.
Results
A 16 aa segment of the third intracellular loop of the human 5-HT2CR (3L4F; Pro280–Arg295; Fig. 1) represents a “hotspot” interface for the 5-HT2CR–PTEN interaction (Ji et al., 2006; Tesmer, 2006). A BLAST search of the sequence for 3L4F revealed significant alignment (E < 1) only with the 5-HT2CR across several species. Of importance, the sequence for 3L4F was not aligned with 5-HT2AR or 5-HT2BR, thus reducing the possibility that the third intracellular loop of these receptors form a complex with PTEN. The synthesized rat 3L4F peptide, when preapplied to PC12 lysates, blocked co-IP of PTEN with 5-HT2CR and prevented PTEN-mediated dephosphorylation of the 5-HT2CR protein in PC12 cells, an outcome linked to the protein phosphatase (not lipid phosphatase) actions of PTEN (Ji et al., 2006). These provocative findings suggest that 5-HT2CR signaling (Fig. 1A, top) may be allosterically modulated such that the association of PTEN with the third intracellular loop of the 5-HT2CR protein limits 5-HT2CR signaling (Fig. 1A, middle). The 3L4F peptide fragment (Fig. 1B,C) is proposed to disrupt 5-HT2CR binding to PTEN (Fig. 1A, bottom) (Ji et al., 2006) and would be predicted to promote 5-HT2CR downstream signaling.
Physical analyses of 5-HT2CR–PTEN interaction in vitro
We used co-IP and Duolink PLA to investigate the physical association between 5-HT2CR and PTEN in a cellular model appropriate to examine the role of the 5-HT2CR–PTEN complex in 5-HT2CR-mediated signaling in live cells. The 5-HT2CR–CHO cells express native PTEN, and the downstream signaling events evoked by stimulation of the 5-HT2CR are well characterized in these cells (Berg et al., 2001; Stout et al., 2002; Gavarini et al., 2006; Moya et al., 2007; Seitz et al., 2012). We also used CHO cells stably transfected with the homologous 5-HT2AR (Shashack et al., 2011; Ding et al., 2012; Seitz et al., 2012) to investigate the specificity of the observations noted in the 5-HT2CR–CHO cells.
Immunoprecipitation of membrane protein extracts of 5-HT2CR–CHO cells using the 5-HT2CR antibody followed by IB with the PTEN antibody yields a band at the expected molecular weight (MW) (55 kDa) for PTEN (Fig. 2A, 0 time point); the reciprocal experiment (PTEN IP followed by 5-HT2CR IB) yields a band at the expected MW (46 kDa) for 5-HT2CR (data not shown). These results confirm that the complex with 5-HT2CR occurs under basal conditions with native levels of PTEN in 5-HT2CR–CHO cells. We also incubated live 5-HT2CR–CHO cells with 1 pm 3L4F for 0, 5, or 15 min [concentration based on optimization and published data (Ji et al., 2006)]. Preincubation with the 3L4F peptide reduced the intensity of the PTEN immunoreactive band detected after IP for the 5-HT2CR in a time-dependent manner (Fig. 2A). A main effect of time on expression of the complex was observed (F(2,15) = 7.23, p < 0.05; Fig. 2B); a priori comparisons revealed that 1 pm 3L4F at 15 min significantly reduced the formation of the 5-HT2CR–PTEN complex versus the 0 min time point after IP for 5-HT2CR and IB for PTEN in 5-HT2CR–CHO cells (p < 0.05). IB for 5-HT2CR after IP for 5-HT2CR indicates that comparable levels of 5-HT2CR protein were immunoprecipitated across time after 3L4F treatment (Fig. 2A). These data suggest that the 3L4F peptide rapidly and potently disrupts the 5-HT2CR–PTEN interaction in 5-HT2CR–CHO cells. This outcome was not attributable to alterations in absolute membrane protein expression levels of either 5-HT2CR or PTEN, which were unchanged after preincubation with 1 pm 3L4F for 15 min (Fig. 2C).
A similar experiment was conducted in 5-HT2AR–CHO cells to determine whether 5-HT2AR formed a protein complex with PTEN. Figure 2D shows that IP with the 5-HT2AR antibody followed by IB with the PTEN antibody did not yield an immunoreactive band for PTEN either with or without preincubation with 3L4F (1 pm); the reciprocal experiment (PTEN IP followed by 5-HT2AR IB) did not yield an immunoreactive band for 5-HT2AR (data not shown). IB for 5-HT2AR after IP for 5-HT2AR indicates that comparable levels of 5-HT2AR membrane protein were immunoprecipitated across treatment conditions (Fig. 2D). Furthermore, the 3L4F peptide did not alter 5-HT2AR or PTEN membrane protein expression levels in 5-HT2AR–CHO cells (Fig. 2E). Protein expression levels in both the 5-HT2AR–CHO and 5-HT2CR–CHO cells have been assessed at ∼200 fmol/mg protein, which approximates physiological levels in brain (Berg et al., 1998). Thus, the lack of association of 5-HT2AR with PTEN is not attributable to differences in expression levels of 5-HT2AR relative to the 5-HT2CR in these cell lines and indicates that 5-HT2AR and PTEN do not form a protein complex. These data support the results of a BLAST analysis that showed that the 3L4F peptide shared homology with the 5-HT2CR across species but not with 5-HT2AR or any other known proteins.
The formation of the 5-HT2CR–PTEN complex was demonstrated to occur in co-IP studies of lysates from the rat VTA ex vivo (Ji et al., 2006). We have also identified the complex in membrane fractions of the rat VTA (Fig. 2F) and medial prefrontal cortex (our unpublished observations). Here, IP of VTA membrane protein fractions using the 5-HT2CR antibody followed by IB with the PTEN antibody yields a band at the expected MW for PTEN, indicating the presence of the 5-HT2CR–PTEN complex in the VTA (Fig. 2F) (Ji et al., 2006). In rats administered the rat TAT–3L4F peptide systemically (10 μmol/kg, i.p.) and killed 5 min later, the intensity of the PTEN immunoreactive band detected after IP for the 5-HT2CR was attenuated relative to vehicle (saline) treatment (Fig. 2F). IB for 5-HT2CR after IP for 5-HT2CR indicates that comparable levels of 5-HT2CR protein were immunoprecipitated from VTA samples extracted from vehicle-treated and rat TAT–3L4F-treated rats (Fig. 2F). These data demonstrate for the first time that systemic administration of the rat TAT–3L4F peptide in vivo disrupts expression of the 5-HT2CR–PTEN complex in the VTA.
We used a well-characterized PLA (Duolink PLA) (Söderberg et al., 2006; Trifilieff et al., 2011; Watson et al., 2012) to corroborate the co-IP studies and to detect whether the protein complex in 5-HT2CR–CHO cells can be disrupted by the 3L4F peptide in situ. Oligonucleotides ligated to the two secondary antibodies hybridize and if in close proximity (<40 nm) to the DNA strands linked to the secondary antibodies ligate to become a primer for a rolling-circle amplification incorporating fluorescent nucleotides; a concatemeric product is generated and visualized as a single red fluorescent spot. Figure 3 illustrates such 5-HT2CR–PTEN complexes in the 5-HT2CR–CHO cells. The 5-HT2CR–PTEN complex formation was not detected when one or the other of the primary antibodies was omitted (data not shown). Figure 3A is a low-power magnification photomicrograph that illustrates the expression of the 5-HT2CR–PTEN complex (red spots) in 5-HT2CR–CHO cells; cellular membranes are labeled with wheat germ agglutinin (green), and the nuclei are labeled with DAPI (blue). Representative images from the reconstruction of confocal images were selected (Fig. 3A, white box), and progressive rotation of the Z-stack in the y direction illustrates the distribution of the 5-HT2CR–PTEN complex throughout the cell (Fig. 3B). To better identify the subcellular localization pattern of the 5-HT2CR–PTEN complex, a photomicrograph was prepared from a confocal series of 5-HT2CR–CHO cells sectioned tangentially (Fig. 3C). Orthogonal views demonstrate that 5-HT2CR–PTEN complexes are clearly evident in the x–z and y–z directions relative to the image plane (Fig. 3C). The 5-HT2CR–PTEN complex appears to form prominently in plasma membrane and/or cytoplasmic compartments (Fig. 3C). In concordance with our co-IP results, 1 pm 3L4F (15 min) reduced the number of 5-HT2CR–PTEN complexes observed with the Duolink PLA relative to vehicle control (Fig. 3D). There was a significant reduction in the number of 5-HT2CR–PTEN Duolink PLA complexes per cell in the presence of 1 pm 3L4F (p < 0.05; Fig. 3E). These data indicate that the formation of the 5-HT2CR–PTEN complex occurs under native conditions within intact cells and is not an artifact of in vitro processing for biochemical analysis. Together, we identified the assembly of the 5-HT2CR–PTEN complex and its disruption by 3L4F specifically in live 5-HT2CR–CHO, but not 5-HT2AR–CHO, cells; thus, these cellular models provide an appropriate means through which to study the impact of the complex on downstream signaling.
Functional analyses of 5-HT2CR–PTEN interaction in vitro
Intracellular calcium release was quantified in 5-HT2CR–CHO cells to determine the functional consequence of 5-HT2CR–PTEN complex formation in live cells. Evaluation of the efficacy of 3L4F to impact signaling through the 5-HT2CR was conducted using the EC50 (1 nm) for 5-HT to evoke Cai2+ release in 5-HT2CR–CHO cells to allow detection of potential allosteric modulation in this key component of downstream 5-HT2CR signaling (Shashack et al., 2011; Ding et al., 2012; Seitz et al., 2012). Although preincubation with the 3L4F peptide (15 min) did not alter unstimulated Cai2+ release (F(6,28) = 0.58, NS; Fig. 4A), a main effect of 3L4F treatment was observed for 5-HT-evoked Cai2+ release (F(6,26) = 4.23, p < 0.05; Fig. 4B); a priori comparisons revealed that concentrations of 10−12 to 10−9 m 3L4F significantly increased Cai2+ release versus 1 nm 5-HT (p < 0.05; Fig. 4B). In a separate experiment, the maximal 5-HT-evoked Cai2+ release (determined by analysis of the 5-HT concentration response) was significantly potentiated in the presence of 1 pm (15 min) 3L4F (Emax = 120.7% of maximal response for 5-HT; p < 0.05).
The TAT peptide was conjugated to the N terminus of the rat 3L4F peptide to foster cell penetrability of the 3L4F peptide (Schwarze et al., 1999; Aarts et al., 2002), and rat TAT–3L4F was first tested in the cellular models to determine efficacy relative to the human 3L4F peptide. A concentration-dependent increase in 5-HT-induced Cai2+ release in 5-HT2CR–CHO cells was seen for the rat TAT–3L4F (F(6,28) = 4.03, p < 0.05; Fig. 4B); no effect of the rat TAT–3L4F on Cai2+ release was observed when tested alone (data not shown). A priori comparisons demonstrated that concentrations of 10−13 to 10−10 m rat TAT–3L4F significantly elevated Cai2+ release versus 1 nm 5-HT (p < 0.05; Fig. 4B). We evaluated the specificity of the 3L4F peptide for 5-HT2CR versus 5-HT2AR signaling. In contrast to observations in the 5-HT2CR–CHO cells, the 3L4F peptide did not potentiate 5-HT-mediated (10 nm) Cai2+ release (Fig. 4C) nor did it alter Cai2+ release when tested alone (data not shown) in 5-HT2AR–CHO cells. Thus, both the human 3L4F peptide and the rat TAT–3L4F peptide efficaciously enhanced 5-HT2CR downstream signaling, but there is no indication that either peptide alters signaling through 5-HT2AR. Observations of the efficacy of the 3L4F peptide to potentiate 5-HT2CR signaling evoked by its endogenous ligand were then extended to the selective 5-HT2CR agonist WAY163909 (Dunlop et al., 2006; Rosenzweig-Lipson et al., 2006; Cunningham et al., 2011). After preincubation with the 3L4F peptide, we observed a dose-dependent increase in WAY163909-evoked (20 nm) Cai2+ release (F(6,13) = 8.28, p < 0.05; Fig. 4D); a priori comparisons revealed that concentrations of 10−12 to 10−8 m 3L4F significantly increased Cai2+ release versus 20 nm WAY163909 (p < 0.05; Fig. 4D). Together, these data indicate that the 3L4F peptide allosterically augments the activation of downstream signaling evoked by either the native ligand or a synthetic full 5-HT2CR agonist.
Functional analyses of 5-HT2CR–PTEN interaction in vivo
The 5-HT2CR–PTEN complex has been identified in the rat VTA (Ji et al., 2006) (Fig. 2F) and medial prefrontal cortex (our unpublished observations), key nuclei of the limbic–corticostriatal circuitry critical in attention, motivation, cognition, and reward processes (Bechara et al., 2001; Goldstein et al., 2007; Bubar and Cunningham, 2008). Furthermore, the initial in vivo profile of TAT–3L4F in rats is consistent with behavioral effects mediated through activation of 5-HT2CR (Ji et al., 2006). In the present study, we directly evaluated the efficacy of rat TAT–3L4F to alter multiple measures of motor activity as well as affect performance in the operant 1-CSRT task that indexes impulsivity and cognitive function in rodents (Dalley et al., 2002; Robbins, 2002; Winstanley et al., 2004a; Anastasio et al., 2011; Cunningham et al., 2012).
Several 5-HT2CR agonists are reported to suppress both horizontal ambulation and vertical (rearing) activity (Halford et al., 1997; Grottick et al., 2000; Fletcher et al., 2002; Halberstadt et al., 2009; Cunningham et al., 2011, 2012). Here, we assessed the effects of rat TAT–3L4F peptide (0.1 or 1 μmol/kg) on outcome measures obtained from analyses of spontaneous locomotor activity; the doses chosen for systemic administration were based on a previous behavioral analysis (Ji et al., 2006) and our preliminary studies (unpublished observations). A main effect of treatment (F(2,447) = 5.84, p < 0.05) and time (F(13,447) = 174.23, p < 0.05), but no treatment × time interaction (F(26,447) = 1.35, NS), was observed for horizontal ambulation divided into 5-min bins (Fig. 5A). TAT–3L4F at 1 μmol/kg significantly reduced horizontal ambulation versus saline at 5, 10, and 15 min (p < 0.05; Fig. 5A). A main effect of TAT–3L4F treatment was observed for total horizontal ambulation totaled across the 70 min test session (F(2,31) = 5.84, p < 0.05; Fig. 5A, inset); a priori comparisons revealed that 1 μmol/kg TAT–3L4F significantly reduced total horizontal ambulation versus saline (p < 0.05; Fig. 5A, inset). No main effect of treatment (F(2,447) = 1.48, NS), time (F(13,447) = 94.85, p < 0.05), or treatment × time interaction (F(26,447) = 0.54, NS) was observed for vertical activity divided into 5-min intervals (Fig. 5B). No main effect of TAT–3L4F versus saline was observed for vertical activity totaled across the 70 min test session (F(2,31) = 1.48, NS; Fig. 5B, inset).
Horizontal ambulation in the peripheral versus central field of the activity monitor was evaluated to assist in the choice of a dose to be used in analyses of allosteric regulation of the 5-HT2CR in vivo. A main effect of treatment (F(2,433) = 6.79, p < 0.05), time (F(13,433) = 175.05, p < 0.05), and a trend toward a treatment × time interaction (F(26,433) = 1.44, p = 0.07) was observed for peripheral ambulation divided into 5-min bins (Fig. 5C). A priori comparisons indicated that TAT–3L4F (1 μmol/kg) significantly reduced peripheral ambulation versus saline at 5 and 10 min (p < 0.05; Fig. 5C). A main effect of TAT–3L4F treatment was observed for peripheral ambulation totaled across the 70 min test session (F(2,31) = 7.45, p < 0.05; Fig. 5C, inset); TAT–3L4F (1 μmol/kg) significantly reduced peripheral ambulation versus saline (p < 0.05; Fig. 5C, inset). No main effect of treatment (F(2,447) = 2.42, NS), time (F(13,447) = 80.64, p < 0.05), or treatment × time interaction (F(26,447) = 1.18, NS) was observed for central ambulation divided into 5-min bins (Fig. 5D). No main effect of TAT–3L4F treatment was observed for central ambulation (F(2,31) = 2.42, NS; Fig. 5D, inset) totaled across the 70 min test session (Fig. 5D, inset). Thus, these data indicate that the highest tested dose of TAT–3L4F (1 μmol/kg) induced a behavioral profile in rats consistent with agonist actions at the 5-HT2CR (Cunningham et al., 2011).
The fine-grained analysis of motor activity (above) allowed identification of 0.1 μmol/kg TAT–3L4F as ineffective across multiple activity measures and supports the use of this TAT–3L4F dose for analyses of allosteric effects in vivo. Figure 6 illustrates the allosteric effects of rat TAT–3L4F peptide (0.1 μmol/kg) in combination with the selective 5-HT2CR agonist WAY163909 (1 mg/kg) on spontaneous locomotor activity. A main effect of treatment (F(3,643) = 3.08, p < 0.05) or time (F(13,643) = 114.39, p < 0.05), but no treatment × time interaction (F(39,643) = 1.05, NS), was observed for horizontal ambulation divided into 5-min bins (Fig. 6A). A priori comparisons indicated that neither TAT–3L4F nor WAY163909 at the chosen dose altered horizontal ambulation versus saline at any 5 min interval (NS; Fig. 6A), as predicted by our previous observations (Cunningham et al., 2011, 2012). Furthermore, the combination of TAT–3L4F plus WAY163909 did not significantly alter horizontal ambulation versus saline at any specific 5-min interval (NS; Fig. 6A). However, a main effect of treatment was observed for horizontal ambulation totaled across the 70 min test session (F(3,45) = 3.08, p < 0.05; Fig. 6A, inset); a priori comparisons revealed that, although neither ligands tested alone at chosen doses altered total horizontal ambulation, the combination of TAT–3L4F plus WAY163909 significantly reduced total horizontal ambulation versus saline (p < 0.05; Fig. 6A, inset). No main effect of treatment (F(3,629) = 1.27, NS), time (F(13,629) = 95.61, p < 0.05), or treatment × time interaction (F(39,629) = 0.84, NS) was observed for vertical activity divided into 5-min intervals (Fig. 6B). No main effect of treatment was observed for vertical activity totaled across the 70 min test session (F(3,44) = 1.27, NS; Fig. 6B, inset). A main effect of treatment (F(3,643) = 3.4, p < 0.05), time (F(13,643) = 304.63, p < 0.05), and a treatment × time interaction (F(39,643) = 1.69, p < 0.05) was observed for peripheral ambulation divided into 5-min bins (Fig. 6C). A priori comparisons indicated that WAY163909 and the combination of TAT–3L4F plus WAY163909 significantly reduced peripheral ambulation versus saline at 5 and 10 min (p < 0.05; Fig. 6C). A main effect of treatment was observed for peripheral ambulation totaled across the 70 min test session (F(3,45) = 3.4, p < 0.05; Fig. 6C, inset); the combination of TAT–3L4F plus WAY163909, but not either ligand alone, significantly reduced peripheral ambulation versus saline (p < 0.05; Fig. 6C, inset). A main effect of treatment (F(3,643) = 3.35, p < 0.05) and time (F(13,643) = 107.84, p < 0.05), but no treatment × time interaction (F(39,643) = 1.3, NS), was observed for central ambulation divided into 5-min bins (Fig. 6D). A priori comparisons indicated that WAY163909 and the combination of TAT–3L4F plus WAY163909 significantly reduced central ambulation versus saline at 10 min (p < 0.05; Fig. 6D). A main effect of treatment was observed for central ambulation (F(3,447) = 3.35, p < 0.05; Fig. 6D, inset) totaled across the 70 min test session; the combination of TAT–3L4F plus WAY163909, but not either ligand alone, significantly reduced central ambulation versus saline (p < 0.05; Fig. 6D, inset). These data demonstrate that the TAT–3L4F peptide augments selective 5-HT2CR agonist-mediated suppression of spontaneous locomotor activity.
Selective 5-HT2CR agonists, including WAY163909 (Navarra et al., 2008), potently suppress (Winstanley et al., 2004a; Fletcher et al., 2007) whereas selective 5-HT2CR antagonists (e.g., SB242084) increase impulsive action assessed by premature (anticipatory) responses in the 5-CSRT task (Winstanley et al., 2004b; Fletcher et al., 2007). We established the 1-CSRT task (Dalley et al., 2002; Winstanley et al., 2004a; Anastasio et al., 2011) to allow pharmacological analyses of impulsive action under conditions of reduced visuospatial attentional processes (Dalley et al., 2002; Winstanley et al., 2004a; Anastasio et al., 2011; Cunningham et al., 2012). Rats were trained to criterion on the 1-CSRT task, and we first evaluated the efficacy of our reference 5-HT2CR agonist WAY163909, followed by an analysis of TAT–3L4F to alter impulsivity alone or in combination with a low dose of WAY163909. Rats met criterion for acquisition of the 1-CSRT task in 33 ± 0.8 d. Figure 7 displays the number of premature responses (Fig. 7A) and reinforcers earned (Fig. 7B) for each dose of WAY163909 tested; data are presented as a percentage of the number of premature responses made on the saline administration session (control) that preceded each dose evaluated. A main effect of WAY163909 dose on premature responses (F(5,212) = 4.96, p < 0.05) was observed; a priori comparisons showed that 0.5 and 1 mg/kg WAY163909 decreased premature responses versus saline (p < 0.05; Fig. 7A, dashed line indicates saline levels). A main effect of WAY163909 dose on the number of reinforcers earned (F(5,212) = 3.73, p < 0.05) was observed; a priori comparisons showed that 0.5 and 1 mg/kg WAY163909 increased the number of reinforcers earned versus saline (p < 0.05; Fig. 7B, dashed line indicates saline levels). Descriptive statistics for percentage accuracy (F(5,212) = 1.46, NS), percentage omissions (F(5,212) = 1.25, NS), latency to start (F(5,212) = 1.59, NS), time to finish (F(5,212) = 0.88, NS), and reinforcer latency (time to retrieve reinforcer after a correct response (F(5,212) = 0.70, NS) in the 1-CSRT task for saline and each dose of WAY163909 administered are presented in Table 1. Thus, these data extend a previous study in the 5-CSRT task (Navarra et al., 2008) to demonstrate efficacy of WAY163909 in the 1-CSRT task and support a key role for 5-HT2CR activation in normalizing impulsive action.
Table 1.
Treatment | % Accuracy | % Omissions | Latency to start (s) | Time to finish (s) | Response latency (s) |
---|---|---|---|---|---|
Saline | 100.48 ± 0.4 | 5.94 ± 0.7 | 1.11 ± 0.2 | 919.57 ± 15.2 | 2.40 ± 0.2 |
WAY163909 (mg/kg) | |||||
0.05 | 100.52 ± 0.4 | 6.23 ± 1.1 | 0.69 ± 0.2 | 933.62 ± 29.4 | 2.75 ± 0.4 |
0.1 | 100.72 ± 0.5 | 5.40 ± 0.9 | 1.13 ± 0.2 | 923.55 ± 16.5 | 2.57 ± 0.2 |
0.2 | 100.15 ± 0.7 | 6.26 ± 1.6 | 0.85 ± 0.2 | 941.12 ± 34.9 | 2.84 ± 0.4 |
0.5 | 100.61 ± 0.4 | 5.85 ± 0.9 | 0.62 ± 0.1 | 926.23 ± 17.3 | 2.54 ± 0.2 |
1 | 101.48 ± 0.6 | 8.94 ± 0.7 | 1.11 ± 0.2 | 981.14 ± 33.7 | 3.06 ± 0.4 |
We then analyzed TAT–3L4F (0.3 μmol/kg) either alone or in combination with a dose (0.1 mg/kg) of WAY163909 that was ineffective in the 1-CSRT task. Figure 7 displays the number of premature responses (Fig. 7C) and reinforcers earned (Fig. 7D) for TAT–3L4F, WAY163909, or the combination; data are presented as a percentage of the number of responses made on the saline administration session that preceded each dose evaluated. A main effect of treatment on premature responses (F(3,49) = 4.15, p < 0.05) was observed; a priori comparisons showed that TAT–3L4F (0.3 μmol/kg) plus WAY163909 (0.1 mg/kg) significantly decreased premature responses versus saline (p < 0.05; Fig. 7C, dashed line indicates saline levels). Neither 0.3 μmol/kg TAT–3L4F nor 0.1 mg/kg WAY163909 alone altered premature responses (NS; Fig. 7C, dashed line indicates saline levels). A main effect of treatment on the number of reinforcers earned (F(3,49) = 3.50, p < 0.05) was observed; a priori comparisons showed TAT–3L4F plus WAY163909 increased the number of reinforcers earned versus saline (p < 0.05; Fig. 7D, dashed line indicates saline levels). Neither 0.3 μmol/kg TAT–3L4F nor 0.1 mg/kg WAY163909 alone altered the number of reinforcers earned versus saline (NS; Fig. 7D, dashed line indicates saline levels). Descriptive statistics for percentage accuracy (F(3,49) = 1.07, NS), percentage omissions (F(3,49) = 0.49, NS), latency to start (F(3,49) = 1.84, NS), time to finish (F(3,49) = 2.75, NS), and reinforcer latency (F(3,49) = 2.50, NS) in the 1-CSRT task for vehicle, TAT–3L4F alone, WAY163909 alone, and the combination of TAT–3L4F plus WAY163909 administration are presented in Table 2. Thus, TAT–3L4F and WAY163909 synergize to attenuate impulsive action consistent with positive allosteric modulation of 5-HT2CR function.
Table 2.
Treatment | % Accuracy | % Omissions | Latency to start (s) | Time to finish (s) | Response latency (s) |
---|---|---|---|---|---|
Saline | 99.92 ± 0.4 | 4.32 ± 1.9 | 0.62 ± 0.2 | 864.08 ± 21.6 | 2.14 ± 0.3 |
TAT–3L4F 0.3 μmol/kg | 98.69 ± 0.6 | 4.77 ± 1.0 | 1.00 ± 0.6 | 875.10 ± 15.3 | 2.19 ± 0.2 |
WAY163909 0.1 mg/kg | 100.21 ± 0.8 | 5.45 ± 1.0 | 1.11 ± 0.3 | 948.78 ± 37.7 | 2.83 ± 0.5 |
WAY163909 plus TAT–3L4F | 98.99 ± 0.8 | 2.42 ± 0.8 | 2.72 ± 1.3 | 1000.73 ± 56.3 | 3.96 ± 0.8 |
Identification of active fragments of 3L4F
The 3L4F peptide demonstrated efficacy and specificity to disrupt the 5-HT2CR–PTEN complex both in vitro and in vivo. The next step was to generate new peptides based on the backbone of 3L4F to establish the residues of the peptide responsible for the observed interaction with PTEN. Three overlapping fragments of the 3L4F peptide (3L4F-F1, 3L4F-F2, and 3L4F-F3) were synthesized and evaluated for efficacy in the Cai2+ release assay in 5-HT2CR–CHO (and 5-HT2AR–CHO) cells. Preincubation with the 3L4F-F1, 3L4F-F2, or 3L4F-F3 alone (15 min) did not induce Cai2+ release (data not shown). A main effect of 3L4F-F1 treatment was observed for 5-HT-evoked Cai2+ release (F(6,28) = 7.94, p < 0.05; Fig. 8A); a priori comparisons revealed that concentrations of 10−13 to 10−9 m 3L4F-F1 significantly increased Cai2+ release versus 1 nm 5-HT (p < 0.05; Fig. 8A). No main effect of 3L4F-F2 (F(6,19) = 2.23, NS; Fig. 8B) or 3L4F-F3 treatment was observed for 5-HT-evoked Cai2+ release (F(6,14) = 0.35, NS; Fig. 8C). In the 5-HT2AR–CHO cells, preincubation with the 3L4F-F1, 3L4F-F2, or 3L4F-F3 peptide alone (15 min) did not induce Cai2+ release or alter Cai2+ release evoked by 10 nm 5-HT (data not shown). Thus, the active fragment of 3L4F is a component of the first 8 aa of the peptide (3L4F-F1).
We then mapped the contact residues between the 3L4F or 3L4F-F1 peptides and PTEN to investigate the interaction interface and to evaluate the secondary structural content of the peptides. REMD simulation runs were performed to assess the predominant 3L4F (Fig. 9A) and 3L4F-F1 (Fig. 9B,C) conformation populations and secondary structure. Visual analyses of the 3L4F peptide trajectories revealed a majority of β-turn-like structures with some amount of α-helical content at the N terminus (Fig. 9A). The dPCA analysis of the 300,000 REMD trajectory of the 3L4F-F1 peptide revealed α-helical content (Fig. 9B) correlated to the same N-terminus region as 3L4F (Fig. 9A), whereas the primary two α-helical subconformations of the 3L4F-F1 peptide differ in the presence or absence of an Arg8–Asp4 (R8–D4) salt bridge (Fig. 9B). Additional analysis of the 300,000 REMD trajectory of the 3L4F-F1 peptide revealed that the third highest populated structure was a β-turn (Fig. 9C). Next, we performed coarse-grained docking between the 3L4F-F1 peptide and the surface of the PTEN protein using GRAMM (Fig. 9D,E). α-Helical 3L4F-F1 conformations were shown to cluster primarily in the central groove between the phosphatase active site and C2 membrane-targeting structural domain of the PTEN crystal structure (Fig. 9D). A secondary, less populated cluster site was found on the immediately opposite side of the central groove (Fig. 9E). GRAMM docking of β-turn conformations yields similar results (data not shown).
We then used CD analysis of protein conformations to experimentally evaluate the secondary structure of the 3L4F (Fig. 9F) and 3L4F-F1 (Fig. 9G) as well as to compare these results to the REMD simulation predictions. Data are presented as three independent trials. CD analysis of α-helical structures has a characteristic negative signal at 222 nm (Chen et al., 1974). The 3L4F peptide (300 μm) has a clear inflection point at 222 nm, although the overall contribution of the α-helix is <50% (Fig. 9F). The 3L4F-F1 peptide (100 and 300 μm) retains a shallow inflection point at 222 nm, indicating 10–30% α-helical populations (Fig. 9G). These CD experimental results complement the REMD simulations (Fig. 9B,C) in which both α-helix and loop conformations were populated in the ensemble of trajectories. On the whole, these data suggest that the secondary structural elements of 3L4F-F1 are important for PTEN recognition and inhibition. The structure–activity relationships that have been developed with the 3L4F peptide derivatives will be used to design small-molecule scaffolds that possess the same or better activity than the 3L4F-F1 peptide and also display the important pharmacophores in the same spatial orientation as predicted by molecular dynamic modeling.
Discussion
Serotonergic neurotransmission via 5-HT2CR in limbic–corticostriatal circuits has been implicated as a critical mechanism involved in a number of chronic pathological maladies. At present, very little is known about the coordinated formation of protein–protein interactions that regulate 5-HT2CR signaling under normal and dysfunctional states in these neural circuits. We discovered that the close physical association of 5-HT2CR with PTEN serves as a new allosteric regulatory mechanism to control 5-HT2CR-mediated biology based on convergent cellular and behavioral data. We have also identified the active fragment of 3L4F as a component of an 8 aa span of the third intracellular loop of 5-HT2CR (Pro280–Arg287). These compelling data demonstrate the specificity and importance of this protein assembly in cellular events and behavior. These data also propose a chemical guidepost for the future development of drug-like peptide or small-molecule inhibitors as neuroprobes to study 5-HT2CR allostery and develop therapeutics for 5-HT2CR-mediated disorders.
The third intracellular loop of 5-HT2CR is critically important in G-protein selectivity and activation (Cheung et al., 1992), and we present the first demonstration that a peptide derived from this loop is functionally important to 5-HT2CR-mediated signaling in live cells. Both the human 3L4F and rat TAT–3L4F peptides enhanced orthosteric ligand-mediated signaling through 5-HT2CR. Importantly, the 3L4F peptide did not alter 5-HT2AR signaling, indicating specificity for modulation of 5-HT2CR function. Thus, PTEN selectively controls the 5-HT2CR signalosome, and 3L4F disrupts this association, resulting in allosteric augmentation of downstream signaling evoked by either the native ligand or a synthetic 5-HT2CR agonist.
Association of PTEN with the third intracellular loop of 5-HT2CR interferes with agonist-induced phosphorylation of 5-HT2CR (Ji et al., 2006), an action that has been reported to prevent receptor desensitization and promote resensitization processes (Backstrom et al., 2000). Because the functional effects of 3L4F to enhance 5-HT2CR signaling are dependent on ligand activation of the receptor (present studies) and the phosphorylation state of the receptor (Ji et al., 2006), the peptide may promote resensitization mechanisms that “protect” against functional tolerance to maintain activation of the 5-HT2CR by agonists. Furthermore, our multiple approaches showed that the magnitude of this allosteric potentiation is saturable, as expected for blockade of an interaction site by a peptide. This suggests that fine-tuning of the orthosteric site-activated intracellular signaling is possible, potentially dampening the negative consequences of extended 5-HT2CR activation (e.g., desensitization) (Keov et al., 2011; Melancon et al., 2012). Because PTEN coupling appears to predict 5-HT2CR signaling strength, disruption of the 5-HT2CR–PTEN interface provides a novel way to enhance the efficacy of 5-HT2CR signaling. Thus, 3L4F and its derivatives should be useful allosteric 5-HT2CR-interacting ligands for use in vivo.
Mechanistic characterization of the efficacy of 3L4F as an adjuvant therapeutic in disorders characterized by 5-HT2CR dysfunction within the limbic–corticostriatal circuit remains to be fully elucidated. Our data demonstrated that TAT conjugation is not necessary for cellular entry, although we have not determined whether enhanced transport across membranes will facilitate crossing of the blood–brain barrier. Nonetheless, the observation that systemic administration of a single, low dose of TAT–3L4F did not cause hypophagia, penile erection, or anxiogenesis but did suppress the development of a conditioned place preference to nicotine, as did a 5-HT2CR agonist (Ji et al., 2006), suggests that this approach may prove therapeutically beneficial with a limited side-effect profile. Rat locomotor activity is an easily measurable dependent variable useful as a screen for pharmacological alterations of neuronal function, and 5-HT2CR agonists are reported to dose dependently suppress both horizontal and vertical activity measures (Halford et al., 1997; Grottick et al., 2000; Fletcher et al., 2002; Halberstadt et al., 2009; Cunningham et al., 2011, 2012). Indeed, although a low dose of TAT–3L4F (0.1 μmol/kg) alone did not induce hypomotility (Ji et al., 2006; present study), this low dose augmented the effects of a selective 5-HT2CR agonist to suppress locomotor activity. The TAT–3L4F peptide does possess 5-HT2CR “agonist-like” properties at a higher dose (1 μmol/kg), exhibiting temporal- and dose-dependent suppression of spontaneous ambulation but not vertical activity. Thus, the 3L4F or peptide derivatives will be useful chemoprobes to dissect the role of the 5-HT2CR–PTEN association in regulation of 5-HT2CR function and to investigate the involvement of allosteric regulation over neurobiological processes.
Impulsivity has been defined clinically as a predisposition toward rapid unplanned reactions to stimuli without regard to the negative consequences (Moeller et al., 2001). Given the dynamic role of impulsivity in many chronic disorders involving 5-HT2CR mechanisms and its place as a critical factor in treatment (Moeller et al., 2001), new medications that selectively enhance behavioral inhibition may facilitate recovery and abstinence. Clinical studies have consistently found an association between measures of 5-HT function and impulsivity (Virkkunen and Narvanen, 1987; Brown and Linnoila, 1990; Stein et al., 1993). With the accessibility to more selective pharmacologic tools, preclinical studies have gone one step further to identify pivotal and discriminating roles for 5-HT receptors, specifically 5-HT2CR, in impulsivity (Pattij and Vanderschuren, 2008). Selective activation of 5-HT2CR consistently reduces impulsivity, measured predominantly in 5-CSRT tasks (Winstanley et al., 2003; Fletcher et al., 2007; Navarra et al., 2008). Here, rats were treated with WAY163909 and evaluated in the 1-CSRT task (Anastasio et al., 2011; Cunningham et al., 2012), a variant of the 5-CSRT task (Dalley et al., 2002; Winstanley et al., 2004a), to determine the effects of a selective 5-HT2CR agonist on impulsive action independent from complex visuospatial attention processes; the CSRT task tests the ability to withhold a prepotent response, similar to the continuous performance task used in humans (Robbins, 2002). In concordance with previous studies, WAY163909 potently suppressed impulsive action but did not alter additional measures of task performance, including accuracy, motivation, or motility indices. An effective allosteric disrupter of the 5-HT2CR–PTEN interaction would be predicted to have limited behavioral effects alone but enhance the effects of low doses of a 5-HT2CR agonist. In support of this hypothesis, the combination of ineffective doses of TAT–3L4F plus WAY163909 attenuated impulsive action indicative of an allosteric modulation of 5-HT2CR function in vivo. Thus, the selective disruption of the 5-HT2CR–PTEN association is a pharmacologic means to enhance 5-HT2CR function with a potentially acceptable side-effect profile.
Biologically active peptides are important leads for medication and bioprobe development. The sequence of first starting with a peptide, then proceeding to pseudo-peptides (peptides with modified peptide bonds), followed by peptidomimetics, and finally to analogs (small molecules that differ significantly from the initial peptide) has been used to develop important therapeutic medications, such as angiotensin converting enzyme inhibitors (Meissner et al., 2002; Urbahns et al., 2003), Arg-Gly-Asp mimics (Greenspoon et al., 1993; Jones et al., 2003), and HIV protease inhibitors (Prabhakaran et al., 2002; Breccia et al., 2003). We have begun this process with synthesizing the lead peptide 3L4F and new peptide fragments of 3L4F to identify the active portion of the 3L4F peptide. In the present study, the 3L4F peptide was truncated into three overlapping 8 aa peptide fragments (3L4F-F1, 3L4F-F2, and 3L4F-F3); derivative 3L4F-F1 was the only derivative to maintain similar efficacy as the 3L4F peptide (within the picomolar range) to enhance 5-HT-evoked Cai2+ release in 5-HT2CR–CHO cells, suggesting that these amino acid sites are the critical residues for activity of the 3L4F peptide. After the discovery of the minimum active peptide, molecular modeling was used to direct the future development of peptidomimetics that have greater stability and better activity than the small peptides. Toward that goal, 3L4F-F1 peptide conformations were computationally predicted to populate both α-helix and β-turn secondary structures over the time course of the simulations. Moreover, coarse-grained docking of these peptide conformations against PTEN provide preliminary insight into potential interaction sites that clustered in the phosphatase active site and C2 membrane-targeting structural domain interface of PTEN. Validation and refinement of the potential 3L4F-F1 to the PTEN interaction site will be key in providing additional atomistic detail for pharmacophore model definition in the search for selective ligands active at that site.
The theoretical concept that the 5-HT2CR–PTEN interface provides a novel target through which to modulate the output of the 5-HT2CR signalosome is novel and supported by significant new evidence of the impact of this protein–protein interaction on 5-HT2CR function. The results presented herein confirm the importance of the protein complex formation between the 5-HT2CR and PTEN proteins in both heterologous and native tissues and indicate that disruption of the 5-HT2CR–PTEN complex may be a viable approach to maintain and/or enhance the efficiency of 5-HT2CR signaling. The ability to selectively target this protein–protein interaction for a receptor that is found predominately in the brain (Anastasio et al., 2010) also suggests that resultant therapeutic compounds will have very limited side-effect profiles. These data and the overall concept challenges and shifts the current paradigm of seeking new 5-HT2CR medications through the development of ligands that act at the orthosteric binding site to new loci of interfaces between the 5-HT2CR and other intracellular proteins. Such allosteric modulation of 5-HT2CR signaling presents a new therapeutic approach in psychiatric disorders in which disrupted 5-HT2CR signaling is implicated.
Footnotes
This work was supported by the Klarman Family Foundation, the Foundation for Prader-Willi Research, and National Institute of Drug Abuse Grants DA06511, DA024157, and DA020087. K.A.C. is an editor of Neuropsychopharmacology Reviews and receives compensation for this role from the American College of Neuropsychopharmacology. We thank Drs. Kelly Berg and William Clarke from the University of Texas Health Science Center at San Antonio for the gift of the CHO cell lines. We thank Dr. Adriana Paulucci-Holthauzen and Leoncio Vergara with the University of Texas Medical Branch Optical Microscopy Core for capturing confocal microscopy images and contributing to analysis of confocal photomicrographs. The NAMD (Not Another Molecular Dynamics) program was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign.
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