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Featured ArticleArticles, Cellular/Molecular

ΔFosB Induction in Striatal Medium Spiny Neuron Subtypes in Response to Chronic Pharmacological, Emotional, and Optogenetic Stimuli

Mary Kay Lobo, Samir Zaman, Diane M. Damez-Werno, Ja Wook Koo, Rosemary C. Bagot, Jennifer A. DiNieri, Alexandria Nugent, Eric Finkel, Dipesh Chaudhury, Ramesh Chandra, Efrain Riberio, Jacqui Rabkin, Ezekiell Mouzon, Roger Cachope, Joseph F. Cheer, Ming-Hu Han, David M. Dietz, David W. Self, Yasmin L. Hurd, Vincent Vialou and Eric J. Nestler
Journal of Neuroscience 20 November 2013, 33 (47) 18381-18395; DOI: https://doi.org/10.1523/JNEUROSCI.1875-13.2013
Mary Kay Lobo
1Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201,
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Samir Zaman
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Diane M. Damez-Werno
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Ja Wook Koo
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Rosemary C. Bagot
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Jennifer A. DiNieri
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
3Departments of Psychiatry and of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Alexandria Nugent
4Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas 75390,
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Eric Finkel
1Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201,
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Dipesh Chaudhury
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Ramesh Chandra
1Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201,
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Efrain Riberio
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Jacqui Rabkin
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Ezekiell Mouzon
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Roger Cachope
1Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201,
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Joseph F. Cheer
1Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201,
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Ming-Hu Han
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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David M. Dietz
5Department of Pharmacology and Toxicology and the Research Institute on Addictions, State University of New York at Buffalo, New York, New York 14214, and
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David W. Self
4Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas 75390,
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Yasmin L. Hurd
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
3Departments of Psychiatry and of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Vincent Vialou
6Institut National de la Santé et de la Recherche Médicale, U952, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7224, UPMC, Paris, 75005, France
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Eric J. Nestler
2Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
3Departments of Psychiatry and of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York 10029,
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Abstract

The transcription factor, ΔFosB, is robustly and persistently induced in striatum by several chronic stimuli, such as drugs of abuse, antipsychotic drugs, natural rewards, and stress. However, very few studies have examined the degree of ΔFosB induction in the two striatal medium spiny neuron (MSN) subtypes. We make use of fluorescent reporter BAC transgenic mice to evaluate induction of ΔFosB in dopamine receptor 1 (D1) enriched and dopamine receptor 2 (D2) enriched MSNs in ventral striatum, nucleus accumbens (NAc) shell and core, and in dorsal striatum (dStr) after chronic exposure to several drugs of abuse including cocaine, ethanol, Δ(9)-tetrahydrocannabinol, and opiates; the antipsychotic drug, haloperidol; juvenile enrichment; sucrose drinking; calorie restriction; the serotonin selective reuptake inhibitor antidepressant, fluoxetine; and social defeat stress. Our findings demonstrate that chronic exposure to many stimuli induces ΔFosB in an MSN-subtype selective pattern across all three striatal regions. To explore the circuit-mediated induction of ΔFosB in striatum, we use optogenetics to enhance activity in limbic brain regions that send synaptic inputs to NAc; these regions include the ventral tegmental area and several glutamatergic afferent regions: medial prefrontal cortex, amygdala, and ventral hippocampus. These optogenetic conditions lead to highly distinct patterns of ΔFosB induction in MSN subtypes in NAc core and shell. Together, these findings establish selective patterns of ΔFosB induction in striatal MSN subtypes in response to chronic stimuli and provide novel insight into the circuit-level mechanisms of ΔFosB induction in striatum.

Introduction

Chronic stimuli, including drugs of abuse, antipsychotic drugs, stress, and natural rewards, cause the stable accumulation of ΔFosB, a truncated product of the FosB gene, in striatum (e.g., Hope et al., 1994; Hiroi and Graybiel, 1996; Hiroi et al., 1997; Moratalla et al., 1996; Perrotti et al., 2004, 2008; Muller and Unterwald, 2005; McDaid et al., 2006; Teegarden and Bale, 2007; Wallace et al., 2008; Solinas et al., 2009; Vialou et al., 2010, 2011; Kaplan et al., 2011). This accumulation leads to the bidirectional regulation of many genes by ΔFosB in this brain region (McClung and Nestler, 2003; Renthal et al., 2008, 2009; Vialou et al., 2010; Robison and Nestler, 2011). The striatum is composed mainly (∼95%) of GABAergic projection medium spiny neurons (MSNs), which are segregated into two subtypes based on their enrichment of many genes, including dopamine receptor 1 (D1) or dopamine receptor 2 (D2) (Gerfen, 1992; Graybiel, 2000; Lobo et al., 2006; Heiman et al., 2008) and by their differential outputs to distinct subcortical structures (Albin et al., 1989; Gerfen, 1992; Kalivas et al., 1993; Graybiel, 2000; Nicola, 2007; Smith et al., 2013). Recently, there has been an abundance of reports demonstrating distinct molecular and functional roles of these MSN subtypes in ventral striatum (nucleus accumbens [NAc]) and dorsal striatum (dStr) in mediating motivational and motor behaviors (Lobo and Nestler, 2011; Gittis and Kreitzer, 2012).

Previous studies have demonstrated that ΔFosB is induced primarily in D1-MSNs by chronic treatment with cocaine or chronic wheel running, a form of natural reward (Moratalla et al., 1996; Werme et al., 2002; Lee et al., 2006), whereas chronic restraint stress induces ΔFosB in both MSN subtypes (Perrotti et al., 2004). Further, compelling evidence from cell type-specific transgenic lines or viral-mediated gene transfer demonstrates that ΔFosB induction in D1-MSNs increases behavioral and structural plasticity to cocaine, behavioral responses to morphine, wheel running, food reward, and resilience to chronic social defeat stress, whereas ΔFosB induction in D2-MSNs negatively regulates behavioral responses to wheel running (Kelz et al., 1999; Werme et al., 2002; Colby et al., 2003; Olausson et al., 2006; Zachariou et al., 2006; Vialou et al., 2010; Grueter et al., 2013; Robison et al., 2013).

Given the crucial role for ΔFosB in regulating these chronic motivational stimuli, with distinct effects in D1-MSNs versus D2-MSNs, we perform here a comprehensive study on the patterns of ΔFosB induction in MSN subtypes by several chronic stimuli, including chronic exposure to drugs of abuse, chronic treatment with an antipsychotic drug, chronic exposure to altered environmental and appetitive stimuli, chronic social defeat stress, and chronic treatment with an antidepressant. To understand the circuit mechanisms controlling ΔFosB induction in striatum by several afferent limbic brain regions, we use optogenetic technologies to repeatedly activate cell bodies in dopaminergic or glutamatergic afferent brain regions and examine the resulting ΔFosB induction in MSN subtypes. Our results provide novel insight into the induction of ΔFosB in striatal D1-MSNs and D2-MSNs by chronic stimuli and, for the first time, demonstrate the circuit-mediated induction of ΔFosB in striatum and within selective MSN subtypes.

Materials and Methods

Animals.

D1-GFP or D2-GFP hemizygote mice (Gong et al., 2003) on a C57BL/6 background were maintained on a 12 h light dark cycle with ad libitum food and water. All studies were conducted in accordance with the guidelines set up by the Institutional Animal Care and Use Committees at the University of Maryland School of Medicine and Icahn School of Medicine at Mount Sinai. Male mice (age 8 weeks) were used for all experiments. All mice were perfused, and brains were collected during the afternoon of the light cycle. Hemizygote D1-GFP and D2-GFP mice on a C57BL/6 or FVB/N background have been shown to be equivalent to wild-type mice with respect to behavior, physiology of D1-MSNs and D2-MSNs, and development of the MSNs (Lobo et al., 2006; Chan et al., 2012; Nelson et al., 2012). Moreover, the overall patterns of ΔFosB induction seen in this study are comparable with those seen in wild-type animals with non–cell type-selective tools (e.g., Perrotti et al., 2004, 2008).

Cocaine treatment.

D1-GFP (n = 4 per treatment) and D2-GFP (n = 4 per treatment) mice received 7 daily intraperitoneal injections of cocaine (20 mg/kg) or 0.9% saline in the home cage. For 1 or 3 d cocaine (20 mg/kg) injections, mice received 6 or 4 d of 0.9% saline injections followed by 1 or 3 d of cocaine injections, respectively. All mice were perfused 24 h after the last injection. This dose of cocaine was selected based on previous studies (e.g., Maze et al., 2010).

Haloperidol treatment.

D1-GFP (n = 3 or 4 per treatment) and D2-GFP (n = 4 per treatment) mice received haloperidol (2 mg/kg) in the drinking water, pH 6.0 (Narayan et al., 2007), or regular drinking water, pH 6.0, for 3 weeks (21 d). Mice were perfused on day 22.

Morphine treatment.

D2-GFP mice (n = 4 or 5 per treatment) were briefly anesthetized with isoflurane and received subcutaneous implants of morphine (25 mg) or sham pellets on day 1 and day 3 as previously described (Mazei-Robison et al., 2011). Mice were perfused on day 5.

Ethanol treatment.

D2-GFP mice (n = 4 or 5 per treatment) were exposed to 10% ethanol (EtOH), a dose that C57BL/6 have been shown to drink (Yoneyama et al., 2008). Mice were given a two bottle choice test for 10% EtOH (bottle A) and water (bottle B), whereas D2-GFP controls received water in both bottles (bottle A and B) for 10 d. All mice receiving EtOH bottles exhibited a preference for EtOH as calculated by (100 × bottle A volume/[bottle A volume + bottle B volume]). Mice that received the 10% EtOH bottle consumed significantly more EtOH compared with water, whereas mice receiving water in both bottles demonstrated no difference in liquid consumption. On the evening of day 10, all mice were given normal drinking water and were perfused on day 11.

Δ(9)-tetrahydrocannabinol (Δ(9)-THC) treatment.

D2-GFP (n = 3 per treatment) mice received intraperitoneal injections of Δ(9)-THC (10 mg/kg) or vehicle (0.9% saline with 0.3% Tween) twice a day for 7 d (Perrotti et al., 2008). Mice were perfused 24 h after the last injection.

Cocaine self-administration.

D2-GFP mice (n = 4 or 5 per treatment) were initially trained to lever press for 20 mg sucrose pellets on a fixed ratio 1 (FR1) reinforcement schedule until an acquisition criterion of 30 sucrose pellets consumed for 3 consecutive test days was reached according to standard procedures (Larson et al., 2010). Mice that learned to lever press were surgically implanted with an intravenous jugular catheter to allow for subsequent cocaine intravenous administration. One week after surgery, mice were introduced to the self-administration paradigm during 2 h daily sessions on an FR1 schedule of reinforcement. The self-administration equipment (Med Associates) was programmed such that a response on the active lever resulted in the delivery (over 2.5 s) of cocaine (0.5 mg/kg/infusion per correct lever press), whereas a response on the inactive lever had no programmed consequence. Mice self-administered cocaine on an FR1 schedule in daily 2 h sessions, 5 d per week, for 3 weeks. D2-GFP mice receiving 0.9% saline injections over the equivalent time period were used as controls. Mice were perfused 24 h after the last cocaine or saline administration.

Heroin self-administration.

Before heroin self-administration, D2-GFP mice (n = 4 per treatment) were trained to lever press for chocolate pellets (BioServ, Dustless Precision Pellets) in seven 1 h daily sessions. Mice that learned to lever press were surgically implanted with an intravenous jugular catheter to allow for subsequent heroin intravenous administration. One week after surgery, mice were introduced to the self-administration paradigm during 3 h daily sessions on a FR1 schedule of reinforcement according to standard procedures (Navarro et al., 2001). The self-administration equipment (Med Associates) was programmed such that a response on the active lever resulted in the delivery (over 5 s) of heroin (30 μg/kg/injection; NIDA Drug Supply Program), whereas a response on the inactive lever had no programmed consequence. Animals were given access to the heroin self-administered procedure for 14 d. D2-GFP mice receiving 0.9% saline injections over the equivalent time period were used as controls. Mice were perfused 24 h after the last heroin or saline administration.

Juvenile environmental enrichment.

D2-GFP (n = 4 per group) mice were weaned into an enriched environment or normal housing conditions at postnatal day 21 (P21) using a paradigm adapted from rats (Green et al., 2010). The enriched environment consisted of a larger hamster cage with enrich-o-cob bedding (Andersons Laboratory bedding) filled with enrichment devices that included mouse tunnels, dome and wheels, crawl balls, huts (Bio Serv), and other toys. Mice remained in the housing conditions for 4 weeks until P50 and were then perfused.

Sucrose treatment.

D2-GFP mice (n = 4 or 5 per treatment) were given a two bottle choice test for 10% sucrose similar to a previous study (Wallace et al., 2008). Mice were given 10% sucrose (bottle A) and water (bottle B), whereas D2-GFP controls received water in both bottles for 10 d. All mice receiving sucrose bottles exhibited a preference for sucrose as calculated by (100 × bottle A volume/bottle A volume + bottle B volume). Mice that received the 10% sucrose bottle consumed significantly more sucrose compared with water, whereas mice receiving water in both bottles demonstrated no difference in liquid consumption. On the evening of day 10, all mice were given normal drinking water and were perfused on day 11.

Calorie restriction.

D2-GFP mice (n = 4 per genotype) went through a calorie restriction protocol, in which they received 60% of ad libitum calories daily (Vialou et al., 2011) for 10 d. D2-GFP control mice received full access to chow. On the evening of day 10, all mice received full access to chow and were perfused on day 11.

Social defeat stress.

D2-GFP mice (n = 4 or 5 per group) underwent 10 d of social defeat stress as described previously (Berton et al., 2006; Krishnan et al., 2007). Mice were exposed to aggressive CD1 retired breeders for 5 min in a large hamster cage. Mice were then housed for 24 h in the same cage on the other side of a perforated divider to maintain sensory contact. The next day mice were exposed to a new CD1 mouse under the same conditions and housing. This was repeated for 10 d with a new CD1 each day. Control mice were housed under similar conditions without defeat stress. Mice were tested for social interaction on day 11. Mice were first tested for time spent interacting with a novel chamber in an open field box without another mouse present (no target) and then subsequently tested for time spent interacting with a novel CD1 mouse (target) that was contained behind the chamber (Berton et al., 2006; Krishnan et al., 2007). Mice were segregated into susceptible or resilient groups based on parameters previously described (Krishnan et al., 2007). This included overall time spent with the novel mouse and the interaction ratio: (time spent with target/time spent with no target) × 100. This measure has been shown to reliably identify susceptible and resilient groups and is highly correlated with other behavioral differences (Krishnan et al., 2007). All mice were perfused 24 h after the social interaction test (48 h after the last social defeat episode).

Fluoxetine treatment.

D2-GFP mice (n = 3 or 4 per group) received 14 daily intraperitoneal injections of fluoxetine (20 mg/kg) or vehicle (0.9% saline with 10% cyclodextrin) (Berton et al., 2006). Mice were perfused 24 h after the last injection.

Stereotaxic surgery.

D2-GFP mice were anesthetized with ketamine (100 mg/kg)/xylazine (10 mg/kg), placed in a small-animal stereotaxic instrument, and their skull surface was exposed. Thirty-three gauge syringe needles were used to unilaterally infuse 0.5–1 μl, at a rate of 0.1 μl per minute, of virus bilaterally into the ventral tegmental area (VTA), medial prefrontal cortex (mPFC), amygdala, or ventral hippocampus (vHippo). AAV [adeno-associated virus]-hSyn-ChR2 [channelrhodopsin 2]-EYFP or AAV-hSyn-EYFP was infused into the VTA of D2-GFP mice (n = 5 per group) at stereotaxic coordinates (anterior–posterior, −3.3 mm; lateral–medial, 0.5 mm; dorsal–ventral, −4.4 mm, 0° angle). This was followed by bilateral cannula (26-gauge), with a length of 3.9 mm, implantation over the VTA (anterior–posterior, −3.3 mm; lateral–medial, 0.5 mm; dorsal-ventral, −3.7 mm) (Koo et al., 2012; Chaudhury et al., 2013). AAV-CaMKII-ChR2-mCherry or AAV-CaMKII-mCherry were injected into the mPFC (n = 4 or 5 per group), amygdala (n = 3 or 4 per group), or vHippo (n = 3 or 4 per group) of D2-GFP mice followed by implantation of 105 μm chronic implantable optic fibers (Sparta et al., 2011). Coordinates were as follows: mPFC (infralimbic was targeted, but we observed spillover of virus to prelimbic regions: anterior–posterior, 1.7 mm; lateral–medial, 0.75 mm; dorsal–ventral, −2.5 mm, 15° angle) and optic fiber (dorsal–ventral, −2.1 mm); amygdala (basolateral amygdala was targeted, but we observed spillover of virus into the central nucleus of the amygdala; anterior–posterior, −1.6 mm; lateral–medial, 3.1 mm; dorsal–ventral, −4.9 mm, 0° angle) and optic fiber (dorsal–ventral, −4.9 mm); vHippo (ventral subiculum was targeted, but we observed spillover of virus into other regions of ventral hippocampus; anterior–posterior, −3.9 mm; lateral–medial, 3.0 mm; dorsal–ventral, −5.0 mm, 0° angle) and optic fiber (dorsal–ventral, −4.6 mm).

Optogenetic conditions.

For in vivo optical control of VTA neuronal firing, a 200 μm core optic fiber patch cord was modified for attachment to the cannula. When the fiber was secured to the cannula, the tip of the fiber extended ∼0.5 mm beyond the cannula (Lobo et al., 2010; Chaudhury et al., 2013). For in vivo optical control of mPFC, amygdala, and vHippo neuronal firing, a 62.5 μm split fiber patch cord was attached to the implantable head mount fibers (Sparta et al., 2011). Optic fibers were attached through an FC/PC adaptor to a 473 nm blue laser diode (Crystal Lasers, BCL-473-050-M), and light pulses were generated through a stimulator (Agilent, 33220A). For VTA, blue light (473 nm) phasic pulses, 20 Hz for 40 ms (Chaudhury et al., 2013), were delivered for 10 min a day over 5 d. For mPFC, amygdala, and vHippo, blue light (473 nm) pulses, 20 Hz for 30 s, were delivered for 10 min a day for 5 d. Light delivery occurred in the home cage, and all mice were perfused 24 h after the last light stimulation.

In vitro patch-clamp electrophysiology.

Whole-cell recordings were obtained from VTA dopamine neurons or mPFC glutamatergic neurons in acute brain slices from mice injected with viruses noted above. Slice recordings were performed on mice with no in vivo stimulation, but with 1 d of slice stimulation (1 d) or 4 d of in vivo stimulation and 1 d of slice stimulation (5 d). To minimize stress and to obtain healthy slices, mice were anesthetized immediately after being brought to the electrophysiology area and perfused for 40–60 s with ice-cold aCSF, which contained 128 mm NaCl, 3 mm KCl, 1.25 mm NaH2PO4, 10 mm d-glucose, 24 mm NaHCO3, 2 mm CaCl2, and 2 mm MgCl2 (oxygenated with 95% O2 and 5% CO2, pH 7.4, 295–305 mOsm). Acute brain slices containing mPFC or VTA were cut using a microslicer (Ted Pella) in cold sucrose-aCSF, which was derived by fully replacing NaCl with 254 mm sucrose and saturated by 95% O2 and 5% CO2. Slices were maintained in a holding chamber with aCSF for 1 h at 37°C. Patch pipettes (3–5 MΩ), for whole-cell current, were filled with internal solution containing the following: 115 mm potassium gluconate, 20 mm KCl, 1.5 mm MgCl2, 10 mm phosphocreatine, 10 mm HEPES, 2 mm magnesium ATP, and 0.5 mm GTP (pH 7.2, 285 mOsm). Whole-cell recordings were performed using aCSF at 34°C (flow rate = 2.5 ml/min). Blue light trains (20 Hz for mPFC or phasic 20 Hz, 40 ms for VTA) were generated by a stimulator connected via a FC/PC adaptor to a 473 nm blue laser diode (OEM) and delivered to mPFC and VTA slices via a 200 μm optical fiber. Current-clamp experiments were performed using the Multiclamp 700B amplifier, and data acquisition was performed in pClamp 10 (Molecular Devices). Series resistance was monitored during the experiments, and membrane currents and voltages were filtered at 3 kHz (Bessel filter).

Immunohistochemistry.

Mice were anesthetized with chloral hydrate and perfused with 0.1 m PBS followed by 4% paraformaldehyde in PBS. Brains were postfixed in 4% paraformaldehyde overnight and then cyropreserved in 30% sucrose. Brains were sectioned on a cryostat (Leica) at 35 μm into PBS with 0.1% sodium azide. For immunohistochemistry, sections were blocked in 3% normal donkey serum with 0.01% Triton-X in PBS for 1 h on the shaker at room temperature. Sections were then incubated in primary antibodies in block overnight on the shaker at room temperature. Antibodies used were the following: rabbit anti-FosB (1:2000, catalog #sc-48, Santa Cruz Biotechnology), mouse anti-NeuN (1:1000, catalog #MAB377, Millipore), chicken anti-GFP (1:5000, catalog #10-20, Aves), and rabbit anti-CREB (cAMP response element binding protein; 1:1000, catalog #06-863, Millipore). The next day, sections were rinsed in PBS followed by a 1 h incubation in secondary antibodies: donkey anti-rabbit Cy3, donkey anti-mouse Cy5, and donkey anti-chicken DyLight-488 or Alexa-488 (Jackson ImmunoResearch Laboratories). For mCherry and tyrosine hydroxylase immunohistochemistry, experiments were performed as previously described (Lobo et al., 2010; Mazei-Robison et al., 2011). Sections were rinsed in PBS, mounted onto slides, and coverslipped.

Imaging and cell counting.

Immunofluorescence was imaged on a Zeiss Axioscope or Olympus Bx61 confocal microscope. Cell counting was performed with ImageJ software. Images sampling bregma 1.42–1.1 of NAc (core and shell) and dorsal striatum were taken from 2 or 3 brain sections/animal (see Fig. 1A). A total of 400–500 cells were counted per brain region per mouse using 250 μm × 250 μm images. Cells were counted using ImageJ software similar to a previous study (Lobo et al., 2010). Approximately 400–500 total NeuN cells were counted per brain region per mouse, and then the number of GFP+, GFP+:ΔFosB+, GFP−, and GFP−:ΔFosB+ cells were counted in each region. Data were quantified as follows: (GFP+:ΔFosB+ neurons × 100%)/(total GFP+ neurons) and (GFP−:ΔFosB+ neurons × 100%)/(total GFP− neurons). Statistical analyses were performed using GraphPad Prism software. Two-way ANOVAs followed by Bonferroni post tests were used for all cell counting analyses.

Results

ΔFosB is differentially induced in D1-MSNs and D2-MSNs after repeated exposure to cocaine versus haloperidol

We first examined ΔFosB induction in MSN subtypes in D1-GFP and D2-GFP mice using chronic cocaine conditions previously shown to preferentially induce ΔFosB protein in D1-MSNs (Moratalla et al., 1996). D1-GFP and D2-GFP BAC transgenic mice, which express enhanced green fluorescent protein under the D1 or D2 receptor gene (Fig. 1A), received intraperitoneal injections of cocaine (20 mg/kg) or saline for 7 d, and brains were collected 24 h after the final injection (Fig. 1B). We then performed immunohistochemistry on brain sections using antibodies against NeuN, GFP, or FosB and imaged and counted cells in NAc core, NAc shell, and dStr (Fig. 1A,C). Whereas the anti-FosB antibody recognizes full-length FosB and ΔFosB, numerous studies using Western blotting or immunohistochemistry have confirmed that ΔFosB is the only detectable species present at the 24 h withdrawal time point (e.g., Perrotti et al., 2008). We therefore used the 24 h or longer time point to collect brains after all conditions in this study to ensure that we are only detecting ΔFosB. Because striatal MSNs comprise ∼95% of all neurons in striatum, we used NeuN immunolabeling to identify the GFP− neurons, which are enriched in the opposite MSN subtype (i.e., D2-MSNs in the D1-GFP mice and D1-MSNs in the D2-GFP mice). We found that D1-GFP mice treated with cocaine display a significant induction of ΔFosB in GFP+/NeuN+ neurons (D1-MSNs) in NAc core, NAc shell, and dStr, whereas GFP−/NeuN+ cells (D2-MSNs) showed no significant induction of ΔFosB in all striatal regions (Fig. 1D): two-way ANOVA, NAc core: drug × cell type F(1,12) = 16.41, p < 0.05, Bonferroni post test: p < 0.01; NAc shell: drug × cell type F(1,12) = 12.41, p < 0.05, Bonferroni post test: p < 0.001; dStr: drug × cell type F(1,12) = 12.07, p < 0.05, Bonferroni post test: p < 0.01. Consistent with these findings, we observed in D2-GFP mice no significant induction of ΔFosB in GFP+/NeuN+ neurons (D2-MSNs) but a significant induction of ΔFosB in GFP−/NeuN+ (D1-MSNs) in all striatal regions after cocaine treatment (Fig. 1D): two-way ANOVA, NAc core: drug × cell type F(1,12) = 15.76, p < 0.01, Bonferroni post test: p < 0.0001; NAc shell: drug × cell type: F(1,12) = 20.33, p < 0.05, Bonferroni post test: p < 0.01; dStr: drug × cell type: F(1,12) = 35.96, p < 0.01, Bonferroni post test: p < 0.001. We examined the kinetics of ΔFosB induction in MSNs after 1, 3, or 7 d of cocaine (20 mg/kg, i.p) injections. We observed a significant induction of ΔFosB in D1-MSNs with 3 or 7 d of cocaine treatment compared with saline treatment in all striatal regions (Fig. 1F): representative graph from dStr; two-way ANOVA, cell type × day F(2,13) = 17.87, p < 0.01, Bonferroni post test: p < 0.01, p < 0.001. This is consistent with the time course of ΔFosB accumulation in striatum seen earlier by Western blotting (Hope et al., 1994) and confirms the selective induction of ΔFosB solely in D1-MSNs throughout a course of cocaine exposure.

Figure 1.
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Figure 1.

Chronic cocaine selectively induces ΔFosB in D1-MSNs in striatal regions. A, Striatal sections from bregma +1.42 to + 1.10 were used for cell counting. Image of a D2-GFP striatal section demonstrates the three striatal regions studied: NAc core, NAc shell, and dStr. Scale bar, 500 μm. B, Time course of chronic (7 d) cocaine (20 mg/kg, i.p.) or saline treatment, with brains harvested 24 h after the last dose. C, Immunohistochemistry of NAc shell of D1-GFP and D2-GFP mice after chronic cocaine (20 mg/kg, i.p) or saline. Immunolabeling for GFP (green), ΔFosB (red), or NeuN (blue) shows induction of ΔFosB in GFP+/NeuN+ neurons in D1-GFP NAc shell or GFP−/NeuN+ neurons in D2-GFP NAc shell. Scale bar, 50 μm. D, Cocaine treatment significantly induces ΔFosB in GFP+/NeuN+ neurons (D1-MSNs) in D1-GFP mice but not in GFP−/NeuN+ neurons (D2-MSNs) in the same mouse. Two-way ANOVA, NAc core: drug × cell type F(1,12) = 16.41, p < 0.05, Bonferroni post test: *p < 0.01; NAc shell: drug × cell type F(1,12) = 12.41, p < 0.05, Bonferroni post test: **p < 0.001; dStr: drug × cell type F(1,12) = 12.07, p < 0.05, Bonferroni post test: *p < 0.01. A significant induction of ΔFosB by cocaine is also observed in GFP−/NeuN+ (D1-MSNs) but not GFP+/NeuN+ neurons (D2-MSNs) in D2-GFP mice. Two-way ANOVA, NAc core: drug × cell type F(1,12) = 15.76, p < 0.01, Bonferroni post test: ***p < 0.0001; NAc shell: drug × cell type: F(1,12) = 20.33, p < 0.05, Bonferroni post test: *p < 0.01; dStr: drug × cell type: F(1,12) = 35.96, p < 0.01, Bonferroni post test: **p < 0.001. E, Time course study of cocaine induction of ΔFosB in dStr. F, Cocaine significantly induces ΔFosB in D1-MSNs only after 3 or 7 d of cocaine exposure (two-way ANOVA, cell type × day F(2,13) = 17.87, p < 0.01, Bonferroni post test: *p < 0.01, **p < 0.001).

We next examined ΔFosB induction by immunohistochemistry in MSN subtypes after chronic exposure to haloperidol (Fig. 2). Prior work suggested indirectly that chronic haloperidol might induce ΔFosB preferentially in D2-MSNs (Hiroi and Graybiel, 1996; Atkins et al., 1999), although this has heretofore not been examined directly. D1-GFP and D2-GFP mice received haloperidol (2 mg/kg) in the drinking water, pH 6.0, whereas D1-GFP and D2-GFP control mice received regular drinking water, pH 6.0, for 21 d (3 weeks) and brains were collected on day 22 (Fig. 2A). As with cocaine, we know that all FosB-like immunoreactivity in striatum at this time point represents ΔFosB, not full-length FosB (Atkins et al., 1999). We found that D1-GFP mice receiving haloperidol displayed no significant induction of ΔFosB in GFP+/NeuN+ neurons (D1-MSNs) in NAc core, NAc shell, or dStr; however, a significant increase in ΔFosB was observed in GFP−/NeuN+ neurons (D2-MSNs) in all striatal regions (Fig. 2B,C): two-way ANOVA, NAc core: drug × cell type: F(1,10) = 23.29, p < 0.05, Bonferroni post test: p < 0.01; NAc shell: drug: drug × cell type: F(1,10) = 30.14, p < 0.05, Bonferroni post test: p < 0.01; dStr: drug × cell type: F(1,10) = 37.63, p < 0.001, Bonferroni post test: p < 0.0001. This was confirmed by examination of D2-GFP mice: we observed a significant induction of ΔFosB in GFP+/NeuN+ neurons (D2-MSNs) in all three striatal regions, but no significant change in ΔFosB in GFP−/NeuN+ (D1-MSNs) after haloperidol treatment (Fig. 2B,C): two-way ANOVA, NAc core: drug × cell type: F(1,12) = 24.30, p < 0.05, Bonferroni post test: p < 0.05; NAc shell: drug × cell type: F(1,12) = 26.07, p < 0.01, Bonferroni post test: p < 0.001; dStr: drug × cell type: F(1,12) = 21.36, p < 0.01, Bonferroni post test: p < 0.01. Given that we observed a similar pattern of ΔFosB induction in D1-MSNs by repeated cocaine exposure in both D1-GFP (GFP+/NeuN+) and D2-GFP (GFP−/NeuN+) mice, and by repeated haloperidol in D2-MSNs in D1-GFP (GFP−/NeuN+) and D2-GFP (GFP+/NeuN+) mice, the remainder of our experiments used D2-GFP mice to examine ΔFosB induction in D1-MSNs (GFP−/NeuN+) and D2-MSNs (GFP+/NeuN+) after other chronic stimuli.

Figure 2.
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Figure 2.

Chronic haloperidol selectively induces ΔFosB in D2-MSNs in striatal regions. A, Time course of 21 d treatment of haloperidol (2 mg/kg, in the drinking water) or water. B, Immunohistochemistry of NAc shell of D1-GFP and D2-GFP mice after haloperidol or water treatment. Immunolabeling for GFP (green), ΔFosB (red), or NeuN (blue) shows induction of ΔFosB in GFP−/NeuN+ neurons in D1-GFP NAc shell or GFP+/NeuN+ neurons in D2-GFP NAc shell. Scale bar, 50 μm. C, Haloperidol treatment significantly induces ΔFosB in GFP−/NeuN+ neurons (D2-MSNs) in D1-GFP mice but not in GFP+/NeuN+ neurons (D1-MSNs) in the same mouse. Two-way ANOVA, NAc core: drug × cell type: F(1,10) = 23.29, p < 0.05, Bonferroni post test: *p < 0.01; NAc shell: drug: drug × cell type: F(1,10) = 30.14, p < 0.05, Bonferroni post test: *p < 0.01; dStr: drug × cell type: F(1,10) = 37.63, p < 0.001, Bonferroni post test: ***p < 0.0001. A significant induction of ΔFosB by haloperidol is also observed in GFP+/NeuN+ (D2-MSNs) but not GFP−/NeuN+ neurons (D1-MSNs) in D2-GFP mice. Two-way ANOVA, NAc core: drug × cell type: F(1,12) = 24.30, p < 0.05, Bonferroni post test: #p < 0.05; NAc shell: drug × cell type: F(1,12) = 26.07, p < 0.01, Bonferroni post test: **p < 0.001; dStr: drug × cell type: F(1,12) = 21.36, p < 0.01, Bonferroni post test: *p < 0.01.

As a control, we examined levels of CREB expression in the cocaine and haloperidol conditions to determine whether our findings could be generalized to other transcription factors (Fig. 3). We observed no significant difference in CREB expression between control and drug-treated mice. Further, we observed no difference in CREB levels between D2-MSNs and D1-MSNs (Fig. 3B,C).

Figure 3.
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Figure 3.

Chronic cocaine or haloperidol does not induce CREB in MSN subtypes. A, Immunostaining for CREB and GFP in striatum of D2-GFP mice after chronic cocaine or chronic haloperidol (Fig. 1 and 2 legends for drug treatments). Scale bar, 50 μm. B, C, Cocaine or haloperidol does not significantly induce CREB protein levels in D1-MSNs or D2-MSNs.

Distinct patterns of ΔFosB induction in MSN subtypes by drugs of abuse

Because previous studies have demonstrated that other drugs of abuse can potently induce ΔFosB in striatal subregions (Perrotti et al., 2008), we examined ΔFosB in MSN subtypes after chronic exposure to opiates, EtOH, or Δ(9)-THC. We first examined whether chronic morphine exposure induces ΔFosB in specific MSN subtypes across striatal regions. D2-GFP mice received two subcutaneous implants of a sham or morphine (25 mg) pellet on days 1 and 3, and brains were collected on day 5 (Fig. 4A) when ΔFosB, but not FosB, is induced (Zachariou et al., 2006). In striking contrast to cocaine, both MSN subtypes displayed a significant (and approximately comparable) increase in ΔFosB in NAc core, NAc shell, and dStr in the morphine group compared with sham controls, with no differential cell subtype induction of ΔFosB seen across all striatal regions (Fig. 4A): two-way ANOVA; NAc core: drug F(1,14) = 75.01, p < 0.0001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.001 (D1-MSN); NAc shell: drug F(1,14) = 62.87, p < 0.0001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.05 (D1-MSN); dStr: drug F(1,14) = 60.11, p < 0.001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.05 (D1-MSN).

Figure 4.
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Figure 4.

Drugs of abuse induce ΔFosB in MSN subtypes in striatal regions. A, Chronic morphine treatment (25 mg pellets on days 1 and 3) in D2-GFP mice results in significant induction of ΔFosB in both MSN subtypes in NAc core, NAc shell, and dStr compared with sham-treated D2-GFP mice. Two-way ANOVA, NAc core: drug F(1,14) = 75.01, p < 0.0001, Bonferroni post test: *p < 0.01 (D2-MSN), **p < 0.001 (D1-MSN); NAc shell: drug F(1,14) = 62.87, p < 0.0001, Bonferroni post test: *p < 0.01 (D2-MSN), #p < 0.05 (D1-MSN); dStr: drug F(1,14) = 60.11, p < 0.001, Bonferroni post test: *p < 0.01 (D2-MSN), #p < 0.05 (D1-MSN). B, D2-GFP mice that demonstrated a preference for 10% EtOH, in the drinking water over 10 d with mice examined 24 h after the last session, exhibited a significant increase in ΔFosB in D1-MSNs in all striatal regions compared with D2-GFP mice receiving only water. Two-way ANOVA, NAc core: drug × cell type: F(1,14) = 24.58, p < 0.05, Bonferroni post test: #p < 0.05; NAc shell: drug × cell type: F(1,14) = 36.51, p < 0.01, Bonferroni post test: *p < 0.01; dStr: drug × cell type: F(1,14) = 29.03, p < 0.01, Bonferroni post test: *p < 0.01. C, Chronic Δ(9)-THC (10 mg/kg, i.p.), twice a day for 7 d with mice examined 24 h after the last treatment, in D2-GFP mice, resulted in a significant induction of ΔFosB in D1-MSNs in all striatal regions compared with D2-GFP mice that received vehicle only. Two-way ANOVA, NAc core: drug × cell type: F(1,8) = 26.37, p < 0.01, Bonferroni post test: *p < 0.01; NAc shell: drug × cell type: F(1,8) = 44.49, p < 0.05, Bonferroni post test: **p < 0.001; dStr: drug × cell type: F(1,8) = 29.30, p < 0.05, Bonferroni post test: *p < 0.01). D, Cocaine self-administration (50 μg/kg/infusion, 2 h/d), using an FR1 schedule for 3 weeks with mice examined 24 h after the last session, in D2-GFP mice, resulted in significant induction of ΔFosB in D1-MSNs across all striatal regions. Two-way ANOVA, NAc core: drug × cell type: F(1,14) = 21.75, p < 0.05, Bonferroni post test: *p < 0.01; NAc shell: drug × cell type: F(1,14) = 26.52, p < 0.01, Bonferroni post test: *p < 0.01; dStr: drug × cell type F(1,14) = 33.68, p < 0.001, Bonferroni post test: **p < 0.001. The average daily dose of cocaine was 19.1 mg/kg, and mice spent more time on the active versus inactive lever. Student's t test, *p < 0.01. E, Heroin self-administration (30 μg/kg/infusion, 3 h/d), using an FR1 schedule for 2 weeks with mice examined 24 h after the last session, in D2-GFP mice, resulted in significant induction of ΔFosB in both D2-MSNs and D1-MSNs across all striatal regions. Two-way ANOVA, NAc core: drug F(1,12) = 68.88, p < 0.001, Bonferroni post test: *p < 0.01 (D2-MSN), #p < 0.05 (D1-MSN); NAc shell: drug F(1,12) = 80.08, p < 0.0001, Bonferroni post test: *p < 0.01 (D2-MSN), **p < 0.001 (D1-MSN); dStr: drug F(1,12) = 63.36, p < 0.001, Bonferroni post test: #p < 0.05 (D2-MSN), #p < 0.05 (D1-MSN). The average daily dose of heroin was 0.459 mg/kg, and mice spent more time on the active versus inactive lever. Student's t test, #p < 0.05.

We next investigated the pattern of induction of ΔFosB in MSN subtypes after chronic exposure to EtOH. D2-GFP mice were given a two bottle choice test for 10% EtOH (bottle A) and water (bottle B), whereas D2-GFP controls received water in both bottles (bottles A and B), for 10 d and brains were collected on day 11 (Fig. 4B). Mice that received the 10% EtOH bottle consumed significantly more EtOH compared with water, whereas mice receiving water in both bottles demonstrated no difference in liquid consumption (Fig. 4B): preference for bottle A water group: 50.00 ± 4.551%, EtOH group: 84.44 ± 8.511%; Student's t test, p < 0.05. Chronic EtOH administration resulted in a significant induction of ΔFosB selectively in D1-MSNs in NAc core, NAc shell, and dStr, with no change in D2-MSNs (Fig. 4B): two-way ANOVA, NAc core: drug × cell type: F(1,14) = 24.58, p < 0.05, Bonferroni post test: p < 0.05; NAc shell: drug × cell type: F(1,14) = 36.51, p < 0.01, Bonferroni post test: p < 0.01; dStr: drug × cell type: F(1,14) = 29.03, p < 0.01, Bonferroni post test: p < 0.01.

D2-GFP mice were also treated with Δ(9)-THC (10 mg/kg, i.p.) twice daily for 7 d, and brains were collected 24 h after the last injection. Similar to the cocaine and EtOH conditions, we observed a significant increase in ΔFosB selectively in D1-MSNs in all striatal regions in mice receiving chronic Δ(9)-THC (Fig. 3E): two-way ANOVA, NAc core: drug × cell type F(1,8) = 26.37, p < 0.01, Bonferroni post test: p < 0.01; NAc shell: drug × cell type: F(1,8) = 44.49, p < 0.05, Bonferroni post test: p < 0.001; dStr: drug × cell type F(1,8) = 29.30, p < 0.05, Bonferroni post test: p < 0.01.

We next examined whether the observed pattern of ΔFosB induction in MSN subtypes by investigator administration of cocaine or opiates occurs in contingent paradigms in which mice volitionally self-administer the drug. First, D2-GFP mice were trained to self-administer cocaine (0.5 mg/kg/infusion) on an FR1 schedule for 2 h a day for 3 weeks and brains were collected 24 h after the last infusion (Fig. 4D), when ΔFosB, but not FosB, is known to be induced (Larson et al., 2010). Mice spent significantly more time pressing the active versus inactive lever (Fig. 4D; Student's t test, p < 0.01). The average daily dose of cocaine was 19.1 mg/kg intravenously (Fig. 4D), similar to the 20 mg/kg intraperitoneal dose used above (Fig. 1). As with noncontingent cocaine exposure (Fig. 1), we found that cocaine self-administration caused a significant induction of ΔFosB only in D1-MSNs in all striatal regions compared with saline exposure (Fig. 4D): two-way ANOVA, NAc core: drug × cell type F(1,14) = 21.75, p < 0.05, Bonferroni post test: p < 0.01; NAc shell: drug × cell type: F(1,14) = 26.52, p < 0.01, Bonferroni post test: p < 0.01; dStr: drug × cell type F(1,14) = 33.68, p < 0.001, Bonferroni post test: p < 0.001. Likewise, similarly to noncontingent opiate (morphine) exposure (Fig. 4A), we found that D2-GFP mice that self-administered heroin (30 μg/kg per infusion), on an FR1 schedule 3 h a day for 2 weeks examined 24 h after the last drug exposure, displayed significant ΔFosB induction in both D2-MSNs and D1-MSNs in all striatal regions (Fig. 4E): two-way ANOVA, NAc core: drug F(1,12) = 68.88, p < 0.001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.05 (D1-MSN); NAc shell: drug F(1,12) = 80.08, p < 0.0001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.001 (D1-MSN); dStr: drug F(1,12) = 63.36, p < 0.001, Bonferroni post test: p < 0.05 (D2-MSN), p < 0.05 (D1-MSN). The average daily dose for heroin was 0.459 mg/kg, and mice spent significantly more time pressing the active versus inactive lever (Student's t test, p < 0.05) (Fig. 4E).

Environmental enrichment and appetitive stimuli induce ΔFosB in both D1-MSNs and D2-MSNs

Because previous studies demonstrated that natural rewards induce ΔFosB in striatal regions (Werme et al., 2002; Teegarden and Bale, 2007; Wallace et al., 2008; Solinas et al., 2009; Vialou et al., 2011), with induction by wheel running selective for D1-MSNs (Werme et al., 2002), we examined whether induction by other natural rewards demonstrated cellular specificity. We first used a juvenile enrichment paradigm in which D2-GFP mice were housed in an enriched environment from weaning (3 weeks) for a 4 week period (Fig. 5A). This approach was previously shown to induce ΔFosB in mouse NAc and dStr (Solinas et al., 2009; Lehmann and Herkenham, 2011). Compared with normal housing conditions, the enriched environment significantly increased ΔFosB in all striatal regions but did not do so in a cell type-specific manner, with comparable induction seen in D1-MSNs and D2-MSNs (Fig. 5A): two-way ANOVA, NAc core: environment F(1,12) = 89.13, p < 0.0001, Bonferroni post test: p < 0.0001 (D2-MSN), p < 0.0001 (D1-MSN); NAc shell: environment F(1,12) = 80.50, p < 0.0001, Bonferroni post test: p < 0.001 (D2-MSN), p < 0.001 (D1-MSN); dStr: environment F(1,12) = 56.42, p < 0.01, Bonferroni post test: p < 0.05 (D2-MSN), p < 0.05 (D1-MSN).

Figure 5.
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Figure 5.

Environmental enrichment and appetitive stimuli induce ΔFosB in both MSN subtypes. A, D2-GFP mice that were housed in an enriched environment beginning at P21 for 4 weeks exhibit induction of ΔFosB in both MSN subtypes across all striatal regions compared with D2-GFP mice in normal housing conditions. Two-way ANOVA, NAc core: environment F(1,12) = 89.13 p < 0.0001, Bonferroni post test: ***p < 0.0001 (D2-MSN), ***p < 0.0001 (D1-MSN); NAc shell: environment F(1,12) = 80.50, p < 0.0001, Bonferroni post test: **p < 0.001 (D2-MSN), **p < 0.001 (D1-MSN); dStr: environment F(1,12) = 56.42, p < 0.01, Bonferroni post test: #p < 0.05 (D2-MSN), #p < 0.05 (D1-MSN). B, D2-GFP mice that exhibit a preference for 10% sucrose, in the drinking water over 10 d with mice examined 24 h after the last session, display a significant induction of ΔFosB in both MSN subtypes across all striatal regions compared with D2-GFP mice receiving water only. Two-way ANOVA, NAc core: treatment F(1,12) = 76.15, p < 0.0001, Bonferroni post test: *p < 0.01 (D2-MSN), *p < 0.01 (D1-MSN); NAc shell: treatment F(1,12) = 63.35, p < 0.001, Bonferroni post test: #p < 0.05 (D2-MSN), *p < 0.01 (D1-MSN); dStr: treatment F(1,12) = 63.36, p < 0.001, Bonferroni post test: *p < 0.01 (D2-MSN), #p < 0.05 (D1-MSN). Mice given the sucrose and water choice drank significantly more sucrose (bottle A) compared with mice with two water choices. Student's t test, **p < 0.001. C, D2-GFP mice that underwent calorie restriction, receiving only 60% of ad libitum calories daily for 10 d, followed by 24 h of free access to regular chow, displayed induction of ΔFosB in both MSN subtypes across all striatal regions compared with D2-GFP mice receiving free access to regular chow. Two-way ANOVA, NAc core: treatment F(1,12) = 67.94 p < 0.0001, Bonferroni post test: *p < 0.01 (D2-MSN), *p < 0.01 (D1-MSN); NAc shell: treatment F(1,12) = 67.84, p < 0.0001, Bonferroni post test: **p < 0.001 (D2-MSN), *p < 0.01 (D1-MSN); dStr: treatment F(1,12) = 82.70, p < 0.0001, Bonferroni post test: **p < 0.001 (D2-MSN), **p < 0.001 (D1-MSN).

We next examined ΔFosB expression in MSN subtypes after chronic appetitive stimuli. We first tested the effects of chronic sucrose drinking, which was previously demonstrated to induce ΔFosB in rat NAc (Wallace et al., 2008). D2-GFP mice were given a two bottle choice test for 10% sucrose (bottle A) and water (bottle B), whereas D2-GFP controls received water in both bottles (bottle A and B) for 10 d and brains were collected on day 11 (Fig. 5B). Mice that received 10% sucrose consumed significantly more sucrose, whereas mice receiving water in both bottles demonstrated no difference in liquid consumption (Fig. 5B): preference for bottle A, water: 50.00 ± 4.749%, sucrose: 89.66 ± 4.473%; Student's t test, p < 0.001. We found that chronic sucrose consumption induced ΔFosB in NAc core, NAc shell, and dStr and that this occurred in both MSN subtypes (Fig. 5B): two-way ANOVA, NAc core: treatment F(1,12) = 76.15 p < 0.0001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.01 (D1-MSN); NAc shell: treatment F(1,12) = 63.35, p < 0.001, Bonferroni post test: p < 0.05 (D2-MSN), p < 0.01 (D1-MSN); dStr: treatment F(1,12) = 63.36, p < 0.001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.05 (D1-MSN).

Finally, we examined ΔFosB expression in MSN subtypes after calorie restriction because this condition, which increases locomotor activity and motivational state, was previously shown to enhance ΔFosB levels in mouse NAc (Vialou et al., 2011). D2-GFP mice went through a calorie-restricted protocol, in which they received 60% of ad libitum calories daily for 10 d and brains were collected on day 11 (Fig. 5C). Calorie restriction increased ΔFosB levels in NAc core and NAc shell as previously demonstrated (Vialou et al., 2011) and also increased ΔFosB levels in dStr. However, we observed no differential induction in D1-MSNs versus D2-MSNs (Fig. 5C): two-way ANOVA, NAc core: treatment F(1,12) = 67.94 p < 0.0001, Bonferroni post test: p < 0.01 (D2-MSN), p < 0.01 (D1-MSN); NAc shell: treatment F(1,12) = 67.84, p < 0.0001, Bonferroni post test: p < 0.001 (D2-MSN), p < 0.01 (D1-MSN); dStr: treatment F(1,12) = 82.70, p < 0.0001, Bonferroni post test: p < 0.001 (D2-MSN), p < 0.001 (D1-MSN).

Chronic social defeat stress and antidepressant treatment cause differential induction of ΔFosB in MSN subtypes

We previously demonstrated that ΔFosB is increased in NAc of mice after chronic social defeat stress (Vialou et al., 2010). Although this induction was observed in both susceptible mice (those that show deleterious sequelae of the stress) as well as in mice that are resilient (those that escape most of these deleterious effects), ΔFosB induction was greater in the resilient subgroup and was shown directly to mediate a state of resilience. In the present study, we found striking cellular specificity for ΔFosB induction in these two phenotypic groups. D2-GFP mice were subjected to 10 d of social defeat stress and separated into susceptible and resilient populations based on a measure of social interaction (Fig. 6A), which correlates highly with other behavioral symptoms (Krishnan et al., 2007). Mice that developed susceptible behaviors after social defeat stress displayed a significant induction of ΔFosB in D2-MSNs in NAc core, NAc shell, and dStr compared with control and resilient mice, with no induction apparent in D1-MSNs. In striking contrast, resilient mice displayed significant ΔFosB induction in D1-MSNs across all striatal regions compared with susceptible and control mice, with no induction apparent in D2-MSNs (Fig. 6A; two-way ANOVA, NAc core: group × cell type F(1,20) = 20.11, p < 0.05, Bonferroni post test: D2-MSN/susceptible p < 0.05, D1-MSN/resilient p < 0.05; NAc shell: group × cell type F(1,20) = 27.79, p < 0.01, Bonferroni post test: D2-MSN/susceptible p < 0.001, D1-MSN/resilient p < 0.01; dStr: group × cell type F(1,20) = 19.76, p < 0.01, Bonferroni post test: D2-MSN/susceptible p < 0.05, D1-MSN/resilient p < 0.01).

Figure 6.
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Figure 6.

Chronic social defeat stress and chronic fluoxetine cause ΔFosB induction in distinct MSN subtypes in striatum. A, D2-GFP that are susceptible to a 10 d course of social defeat stress exhibit ΔFosB induction in D2-MSNs in all striatal regions, 48 h after the last defeat episode and 24 h after the social interaction test, compared with control mice or mice that are resilient to 10 d of social defeat stress. Resilient D2-GFP mice exhibit induction of ΔFosB in D1-MSNs in all striatal regions, 48 h after the last defeat episode, compared with control or susceptible mice. Two-way ANOVA, NAc core: group × cell type F(1,20) = 20.11, p < 0.05, Bonferroni post test: D2-MSN/susceptible #p < 0.05, D1-MSN/resilient; #p < 0.05; NAc shell: group × cell type F(1,20) = 27.79, p < 0.01, Bonferroni post test: D2-MSN/susceptible; **p < 0.001, D1-MSN/resilient; *p < 0.01; dStr: group × cell type F(1,20) = 19.76, p < 0.01, Bonferroni post test: D2-MSN/susceptible; #p < 0.05, D1-MSN/resilient; *p < 0.01. B, D2-GFP mice receiving chronic treatment of the fluoxetine (20 mg/kg, i.p.), for 2 weeks with mice examined 24 h after the last treatment, exhibit a significant induction of ΔFosB in D1-MSNs in all striatal regions. Two-way ANOVA, NAc core: drug × cell type F(1,10) = 14.59, p < 0.05, Bonferroni post test: *p < 0.01; NAc shell: drug × cell type: F(1,10) = 26.14, p < 0.05, Bonferroni post test: *p < 0.01; dStr: drug × cell type F(1,10) = 8.19, p < 0.05, Bonferroni post test: **p < 0.001.

Chronic treatment with the SSRI antidepressant, fluoxetine, reverses the depression-like behaviors exhibited by susceptible mice after chronic social defeat stress (Berton et al., 2006). Moreover, such treatment induces ΔFosB in NAc of susceptible as well as control mice, and we have shown that such induction is required for fluoxetine's beneficial behavioral effects (Vialou et al., 2010). We thus examined the cellular specificity of ΔFosB induction after chronic fluoxetine administration. D2-GFP mice received fluoxetine (20 mg/kg, i.p.) for 14 d, and brains were collected on day 15 (Fig. 6B). We observed a significant induction of ΔFosB in D1-MSNs, but not in D2-MSNs, in fluoxetine-treated mice compared with vehicle controls (Fig. 6B; two-way ANOVA, NAc core: drug × cell type F(1,10) = 14.59, p < 0.05, Bonferroni post test: p < 0.01; NAc shell: drug × cell type: F(1,10) = 26.14, p < 0.05, Bonferroni post test: p < 0.01; dStr: drug × cell type F(1,10) = 8.19, p < 0.05, Bonferroni post test: p < 0.001).

In vivo optogenetic manipulation of NAc afferent brain regions causes distinct patterns of ΔFosB induction in striatal regions and MSN subtypes

Given that dopaminergic and glutamatergic afferent inputs to NAc can facilitate reward seeking and alter depression-like behaviors (Tsai et al., 2009; Covington et al., 2010; Adamantidis et al., 2011; Witten et al., 2011; Britt et al., 2012; Lammel et al., 2012; Stuber et al., 2012; Chaudhury et al., 2013; Kumar et al., 2013; Tye et al., 2013), we examined ΔFosB induction in striatal MSN subtypes after manipulating activity of several key afferent brain regions. We virally expressed ChR2 in each of several regions and activated them with blue light (473 nm) as described previously (Gradinaru et al., 2010; Yizhar et al., 2011). Because a recent study demonstrated that phasic stimulation with blue light, after non–cell-selective expression of ChR2 in VTA, resulted in the same behavioral phenotype as selective ChR2 phasic stimulation of VTA dopamine neurons (Chaudhury et al., 2013), we expressed ChR2 using AAV-hsyn-ChR2-EYFP in VTA of D2-GFP mice; control mice were injected with AAV-hsyn-EYFP. VTA sections were coimmunostained with tyrosine hydroxylase and GFP to visualize ChR2-EYFP expression (Fig. 7C). D2-GFP mice expressing ChR2-EFYP or EYFP alone in VTA received 5 d of 10 min of blue light phasic stimulation of the VTA as described previously (Koo et al., 2012; Chaudhury et al., 2013) (Fig. 7A), and brains were collected 24 h after the last stimulation. There was no desensitization of the ability of ChR2 to activate VTA dopamine neurons after 5 d of stimulation (Fig. 7B). We found that repeated phasic stimulation of VTA neurons expressing ChR2-EYFP increases ΔFosB in both MSN subtypes in NAc core, but only in D1-MSNs in NAc shell (Fig. 7C; two-way ANOVA, NAc core: optogenetic stimuli F(1,16) = 51.97, p < 0.0001, Bonferroni post test: p < 0.001; (both MSN subtypes) NAc shell: optogenetic stimuli × cell type: F(1,16) = 13.82, p < 0.05, Bonferroni post test: p < 0.01). We observed no induction of ΔFosB in dStr after blue light phasic stimulation to VTA-expressing ChR2-EYFP compared with EYFP controls. These results should be interpreted with caution, as we did not selectively target VTA dopamine neurons for optical stimulation, and recent studies have demonstrated nondopaminergic projection neurons in VTA as well as considerable heterogeneity of the VTA, which can lead to divergent behavioral responses depending on firing parameters and subpopulations of neurons affected (Tsai et al., 2009; Lammel et al., 2011, 2012; Witten et al., 2011; Kim et al., 2012, 2013; Tan et al., 2012; van Zessen et al., 2012; Stamatakis and Stuber, 2012; Chaudhury et al., 2013; Tye et al., 2013).

Figure 7.
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Figure 7.

Optogenetic activation of brain regions that innervate the NAc causes distinct patterns of ΔFosB induction in MSN subtypes and striatal regions. A, Optogenetic stimulation paradigm for all conditions. Brains were harvested 24 h after 5 d of optogenetic stimulation. B, Slice physiology recordings of VTA dopamine neurons expressing AAV-hSyn-ChR2-EYFP or mPFC neurons expressing AAV-hSyn-ChR2-mCherry with 1 d of stimulation or 5 d of stimulation. Slices received either phasic 20 Hz, 40 ms blue light (473 nm) pulses (VTA) or 20 Hz blue light pulses (mPFC) C, VTA targeting with AAV-hSyn-ChR2-EYFP or AAV-hSyn-EYFP in D2-GFP mice. We observed an overlap in tyrosine hydroxylase (TH, a marker for dopamine neurons) immunolabeling (red) with ChR2-EYFP expressing neurons (green). Scale bar, 100 μm. Optical stimulation of VTA neurons expressing AAV-hSyn-ChR2-EYFP, for 10 min a day over a 5 d period with mice examined 24 h later, caused a significant induction of ΔFosB in both MSN subtypes in NAc core but only in D1-MSNs in NAc shell. This stimulation parameter caused no induction of ΔFosB in dStr. Two-way ANOVA, NAc core: optogenetic stimuli F(1,16) = 51.97, p < 0.0001, Bonferroni post test: **p < 0.001; (both MSN subtypes) NAc shell: optogenetic stimuli × cell type: F(1,16) = 13.82, p < 0.05, Bonferroni post test: *p < 0.01. D, AAV-CaMKII-ChR2-mCherry or AAV-CaMKII-mCherry as a control was expressed in mPFC of D2-GFP mice. Scale bar, 500 μm. Optical stimulation of mPFC neurons expressing ChR2 for 5 d with mice examined 24 h later resulted in ΔFosB induction in D1-MSNs in NAc core, whereas ΔFosB induction occurred in both MSN subtypes in NAc shell. No induction was seen in dStr. Two-way ANOVA, NAc core: optogenetic stimuli × cell type F(1,14) = 10.31, p < 0.05, Bonferroni post test: *p < 0.01; NAc shell: optogenetic stimuli F(1,14) = 57.17, p < 0.001, Bonferroni post test: #p < 0.05 (D2-MSN), *p < 0.01 (D1-MSN). E, AAV-CaMKII-ChR2-mCherry or AAV-CaMKII-mCherry was expressed in amygdala of D2-GFP mice. Scale bar, 500 μm. Optical stimulation of amygdala neurons expressing ChR2, for 5 d with mice examined 24 h later, induced ΔFosB in both MSN subtypes in the NAc core, and in D1-MSNs in NAc shell, but no change occurred in dStr. Two-way ANOVA, NAc core: optogenetic stimuli F(1,10) = 78.92, p < 0.0001, Bonferroni post test: **p < 0.001 (D2-MSN), ***p < 0.0001 (D1-MSN); NAc shell: optogenetic stimuli × cell type: F(1,10) = 30.31, p < 0.0001, Bonferroni post test: ***p < 0.0001. F, AAV-CaMKII-ChR2-mCherry or AAV-CaMKII-mCherry was expressed in vHippo of D2-GFP mice. Scale bar, 500 μm. Optical stimulation of vHippo neurons expressing ChR2, for 5 d with mice examined 24 h later, caused significant ΔFosB induction in D1-MSNs in both NAc core and NAc shell, with no change observed in dStr. Two-way ANOVA, NAc core: optogenetic stimuli × cell type F(1,10) = 18.30, p < 0.05, Bonferroni post test: *p < 0.01; NAc shell: optogenetic stimuli × cell type: F(1,10) = 22.69, p < 0.05, Bonferroni post test: *p < 0.01.

We next used AAV-CaMKII-ChR2-mCherry and AAV-CaMKII-mCherry vectors to express ChR2-mCherry, or mCherry alone as a control, in mPFC, amygdala, or vHippo of D2-GFP mice (Fig. 7D–F). ChR2 and mCherry expression mediated by the CaMKII-ChR2 virus has previously been demonstrated to colocalize with CaMKII expression, which predominantly labels glutamatergic neurons (Gradinaru et al., 2009; Warden et al., 2012). We activated cells expressing ChR2 in these regions with 20 Hz blue light for 10 min a day for 5 d, and brains were collected 24 h after the last stimulation (Fig. 7A). This stimulation pattern elicited ∼27–33 Hz firing, mainly due to observed doublet spiking. No apparent desensitization of ChR2 occurred with 5 d of stimulation; however, we observed a slight increase in firing from 1 to 5 d (32–33 Hz) of stimulation. We found that optogenetic activation of mPFC neurons resulted in ΔFosB induction in D1-MSNs in NAc core, whereas ΔFosB induction occurred in both MSN subtypes in NAc shell (Fig. 7D; two-way ANOVA, NAc core: optogenetic stimuli × cell type F(1,14) = 10.31, p < 0.05, Bonferroni post test: p < 0.01; NAc shell: optogenetic stimuli F(1,14) = 57.17, p < 0.001, Bonferroni post test: p < 0.05 (D2-MSN), p < 0.01 (D1-MSN)). No change in ΔFosB levels was observed in dStr after mPFC activation. In contrast, optogenetic activation of amygdala neurons induced ΔFosB in both MSN subtypes in NAc core, and selectively in D1-MSNs in NAc shell, with no change occurring in dStr (Fig. 7E; two-way ANOVA, NAc core: optogenetic stimuli F(1,10) = 78.92, p < 0.0001, Bonferroni post test: p < 0.001 (D2-MSN), p < 0.0001 (D1-MSN); NAc shell: optogenetic stimuli × cell type: F(1,10) = 30.31, p < 0.0001, Bonferroni post test: p < 0.0001). Finally, optogenetic activation of vHippo neurons caused significant ΔFosB induction only in D1-MSNs in both NAc core and NAc shell, with again no change observed in dStr (Fig. 7F; two-way ANOVA, NAc core: optogenetic stimuli × cell type F(1,10) = 18.30, p < 0.05, Bonferroni post test: p < 0.01; NAc shell: optogenetic stimuli × cell type: F(1,10) = 22.69, p < 0.05, Bonferroni post test: p < 0.01).

Discussion

The present study examines ΔFosB induction in D1-MSNs and D2-MSNs in striatal regions after several chronic stimuli (Table 1). We first establish the feasibility of using D1-GFP and D2-GFP reporter lines to demonstrate selective ΔFosB induction in D1-MSNs after chronic cocaine and in D2-MSNs after chronic haloperidol. The cocaine findings are consistent with previous studies (Moratalla et al., 1996; Lee et al., 2006) and the established role for ΔFosB in D1-MSNs in promoting cocaine reward (Kelz et al., 1999; Colby et al., 2003; Grueter et al., 2013). We previously showed that investigator- and self-administered cocaine induces ΔFosB to an equivalent extent in NAc (Winstanley et al., 2007; Perrotti et al., 2008), and importantly we show here that both modes of cocaine intake induce ΔFosB selectively in D1-MSNs in all three striatal regions. Our findings are consistent with previous studies demonstrating that acute cocaine induces other immediate early genes and phosphorylation of several intracellular signaling proteins only in D1-MSNs (Bateup et al., 2008; Bertran-Gonzalez et al., 2008). Likewise, the opposite pattern of ΔFosB induction after chronic haloperidol is consistent with the blockade of this induction by D2-like receptor agonists (Atkins et al., 1999), and with acute haloperidol's selective induction of immediate early genes and phosphorylation of several signaling proteins in D2-MSNs (Bateup et al., 2008; Bertran-Gonzalez et al., 2008).

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Table 1.

ΔFosB induction in striatal MSN subtypes after chronic pharmacological, emotional, and optogenetic stimulia

As with cocaine, we found that chronic exposure to two other drugs of abuse, EtOH and Δ(9)-THC, induces ΔFosB selectively in D1-MSNs across all striatal regions. We previously demonstrated that EtOH induces ΔFosB in NAc core, NAc shell, and dStr, but that Δ(9)-THC significantly upregulates ΔFosB in NAc core, with a trend seen in the other regions (Perrotti et al., 2008). We similarly observed here the largest Δ(9)-THC induction of ΔFosB in NAc core in D1-MSNs; our ability to demonstrate induction in other striatal regions is likely due to the cell-specific analysis used. Interestingly, chronic morphine and heroin self-administration, unlike the other drugs of abuse, induced ΔFosB in both MSN subtypes to a comparable extent across all striatal regions. A recent study demonstrated that acute morphine induces c-Fos in D1-MSNs, whereas naloxone-precipitated withdrawal after chronic morphine induces c-Fos in D2-MSNs (Enoksson et al., 2012). Although we did not observe signs of opiate withdrawal in our study, it is conceivable that more subtle withdrawal occurring with morphine or heroin administration at the time point studied is responsible for the ΔFosB induction in D2-MSNs seen here. We showed earlier that ΔFosB in D1-MSNs, but not D2-MSNs, increases rewarding responses to morphine (Zachariou et al., 2006). It would now be interesting to test the possibility that ΔFosB induction in D2-MSNs contributes to the aversive effects of opiate withdrawal. Likewise, the potential contribution of drug withdrawal and craving to ΔFosB induction seen with all drugs should be investigated.

Previous studies demonstrate that environmental enrichment during development induces ΔFosB in NAc and dStr (Solinas et al., 2009; Lehmann and Herkenham, 2011). Our data demonstrate that this accumulation occurs equally in D1-MSNs and D2-MSNs across all striatal regions. The enrichment paradigm was previously shown to blunt rewarding and locomotor responses to cocaine (Solinas et al., 2009); however, this behavioral phenotype is likely not a consequence of ΔFosB accumulation because ΔFosB induction in D1-MSNs alone enhances behavioral responses to cocaine, whereas such induction in D2-MSNs has no discernible effect (Kelz et al., 1999; Colby et al., 2003; Grueter et al., 2013). Chronic sucrose consumption was previously shown to increase ΔFosB in NAc, and overexpression of ΔFosB, either in D1-MSNs alone or in both subtypes, in NAc enhances sucrose consumption (Olausson et al., 2006; Wallace et al., 2008). Here, we observed comparable ΔFosB induction in both MSN subtypes in NAc and dStr after sucrose drinking. Finally, we demonstrated earlier that induction of ΔFosB in NAc mediates certain adaptive responses to calorie restriction through enhanced motivation for high fat food and reduced energy expenditure (Vialou et al., 2011). Overall, these results demonstrate that ΔFosB accumulation in NAc and dStr occurs in both D1-MSNs and D2-MSNs in response to several natural rewards. This finding is surprising given the observation that ΔFosB accumulates in D1-MSNs only after another natural reward, chronic wheel running, and that overexpression of ΔFosB in D1-MSNs enhanced wheel running whereas ΔFosB overexpression in D2-MSNs diminished wheel running (Werme et al., 2002). However, wheel running may activate distinct motor pathways, which are responsible for its different pattern of ΔFosB induction. In any event, results with the other natural rewards suggest that they differentially control ΔFosB in striatum compared with more potent drug rewards, such as cocaine, EtOH, and Δ(9)-THC. ΔFosB induction in both MSN subtypes under these natural rewarding conditions is consistent with a recent study demonstrating that action initiation for a food reward activates both MSN subtypes (Cui et al., 2013).

Chronic social defeat stress induces ΔFosB in NAc shell of susceptible and resilient mice but in NAc core only in resilient mice (Vialou et al., 2010). Further, ΔFosB overexpression in D1-MSNs promotes resilience after chronic social defeat stress. Chronic treatment with fluoxetine also causes ΔFosB accumulation in NAc of stress naive mice and in susceptible mice after chronic social defeat stress, and ΔFosB overexpression was shown to mediate antidepressant-like behavioral responses under the latter conditions (Vialou et al., 2010). Finally, a previous study demonstrated ΔFosB induction in both MSN subtypes after chronic restraint stress (Perrotti et al., 2004). Results of the present study, where we show ΔFosB induction selectively in D1-MSNs in resilient and fluoxetine-treated mice, but selectively in D2-MSNs in susceptible mice, provide important insight into these earlier findings and support the hypothesis that ΔFosB in D1-MSNs mediates resilience and antidepressant action, whereas ΔFosB in D2-MSNs might mediate susceptibility. Further work is now needed to test this hypothesis.

Recent work using optogenetics demonstrates the potent role of dopaminergic and glutamatergic afferents to NAc in modulating reward and stress responses (see Results). We make use of these optogenetic tools to examine ΔFosB induction in D1-MSNs and D2-MSNs after repeated activation of NAc afferent regions. We found that phasic stimulation of VTA neurons, or activation of mainly glutamatergic neurons in amygdala, induces ΔFosB in D1-MSNs in NAc shell and in both MSN subtypes in NAc core. In contrast, activation of mPFC neurons results in the opposite pattern of ΔFosB induction, with increased levels in D1-MSNs in NAc core but induction in both MSN subtypes in NAc shell. Finally, optogenetic activation of vHippo neurons causes ΔFosB accumulation only in D1-MSNs in NAc core and shell. The vHippo findings are consistent with recent studies demonstrating that hippocampal inputs are much weaker onto D2-MSNs compared with D1-MSNs (MacAskill et al., 2012) and that these inputs control cocaine-induced locomotion (Britt et al., 2012). Moreover, our demonstration of ΔFosB induction predominantly in D1-MSNs with all inputs is consistent with previous studies showing that ΔFosB in D1-MSNs enhances rewarding responses to drugs of abuse as well as studies showing that optogenetic stimulation of VTA dopamine neurons or of mPFC, amygdala, or vHippo terminals in NAc promote reward (Kelz et al., 1999; Zachariou et al., 2006; Tsai et al., 2009; Witten et al., 2011; Britt et al., 2012; Grueter et al., 2013).

Finally, it is likely that there are selective neuronal ensembles within these two MSN subtypes that are differentially activated by positive or negative stimuli. This could account for our observation of ΔFosB induction in D2-MSNs in certain rewarding conditions (opiates and natural rewards) as well as aversive (social defeat) conditions. Striatum is very heterogeneous beyond MSN subtypes, including patch and matrix compartments in both dorsal and ventral striatum (Gerfen, 1992; Watabe-Uchida et al., 2012). Further, previous studies demonstrate activation of a very small percentage of striatal neuronal ensembles by psychostimulants, with enhanced induction of the FosB gene in these activated neurons (Guez-Barber et al., 2011; Liu et al., 2013), although it is unknown whether these activated neurons are D1-MSNs or D2-MSNs. The function of ΔFosB in core versus shell in mediating rewarding and aversive behaviors is likewise unknown. ΔFosB overexpression in D1-MSNs increased silent synapses in both core and shell, but expression in D2-MSNs decreased silent synapses in shell only (Grueter et al., 2013). Further, ΔFosB induction in core versus shell is likely mediated through different mechanisms, as we found cocaine-mediated CaMKIIα stabilization of ΔFosB in shell but not core leading to greater ΔFosB accumulation in shell (Robison et al., 2013). Future studies that selectively target MSN subtypes in core versus shell, activated neuronal ensembles, or patch versus matrix compartments will help define the behavioral role of ΔFosB within these heterogeneous regions.

Overall, these circuit-mediated cell type-selective induction patterns of ΔFosB in NAc suggest that rewarding and stressful stimuli differentially engage distinct NAc afferents to encode specific features of these stimuli. Our results not only provide comprehensive insight into the induction of ΔFosB in striatal MSN subtypes by chronic stimuli but also illustrate the utility in using ΔFosB as a molecular marker to understand the lasting effects of specific neural circuits in influencing NAc function.

Footnotes

  • The authors declare no competing financial interests.

  • Correspondence should be addressed to Dr. Eric J. Nestler, Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY 10029. eric.nestler{at}mssm.edu

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The Journal of Neuroscience: 33 (47)
Journal of Neuroscience
Vol. 33, Issue 47
20 Nov 2013
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ΔFosB Induction in Striatal Medium Spiny Neuron Subtypes in Response to Chronic Pharmacological, Emotional, and Optogenetic Stimuli
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ΔFosB Induction in Striatal Medium Spiny Neuron Subtypes in Response to Chronic Pharmacological, Emotional, and Optogenetic Stimuli
Mary Kay Lobo, Samir Zaman, Diane M. Damez-Werno, Ja Wook Koo, Rosemary C. Bagot, Jennifer A. DiNieri, Alexandria Nugent, Eric Finkel, Dipesh Chaudhury, Ramesh Chandra, Efrain Riberio, Jacqui Rabkin, Ezekiell Mouzon, Roger Cachope, Joseph F. Cheer, Ming-Hu Han, David M. Dietz, David W. Self, Yasmin L. Hurd, Vincent Vialou, Eric J. Nestler
Journal of Neuroscience 20 November 2013, 33 (47) 18381-18395; DOI: 10.1523/JNEUROSCI.1875-13.2013

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ΔFosB Induction in Striatal Medium Spiny Neuron Subtypes in Response to Chronic Pharmacological, Emotional, and Optogenetic Stimuli
Mary Kay Lobo, Samir Zaman, Diane M. Damez-Werno, Ja Wook Koo, Rosemary C. Bagot, Jennifer A. DiNieri, Alexandria Nugent, Eric Finkel, Dipesh Chaudhury, Ramesh Chandra, Efrain Riberio, Jacqui Rabkin, Ezekiell Mouzon, Roger Cachope, Joseph F. Cheer, Ming-Hu Han, David M. Dietz, David W. Self, Yasmin L. Hurd, Vincent Vialou, Eric J. Nestler
Journal of Neuroscience 20 November 2013, 33 (47) 18381-18395; DOI: 10.1523/JNEUROSCI.1875-13.2013
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