Manipulating midbrain dopamine neurons and reward-related behaviors with light-controllable nicotinic acetylcholine receptors

  1. Romain Durand-de Cuttoli
  2. Sarah Mondoloni
  3. Fabio Marti
  4. Damien Lemoine
  5. Claire Nguyen
  6. Jérémie Naudé
  7. Thibaut d'Izarny-Gargas
  8. Stéphanie Pons
  9. Uwe Maskos
  10. Dirk Trauner
  11. Richard H Kramer
  12. Philippe Faure  Is a corresponding author
  13. Alexandre Mourot  Is a corresponding author
  1. Sorbonne Université, INSERM, CNRS, France
  2. Institut Pasteur, France
  3. New York University, United States
  4. University of California Berkeley, United States
5 figures, 1 table and 1 additional file

Figures

Design and characterization of β2LinAChR. 

(A) Crystal structure of the α4β2 nAChR (PDB ID 5KXI) (Morales-Perez et al., 2016) viewed parallel from the plasma membrane. The α4 subunit is in dark grey and the β2 subunit in light grey. The agonist binding sites are located in the extracellular binding domain, at the interface between the α and β subunits. Nicotine (red) and the amino acid E61 (orange) which has been mutated to cysteine in the β2LinAChR are represented as spheres. For clarity, only one αβ dimer is shown, and an extended view is shown on the right. (B) Chemical structure of trans and cis MAHoCh. The thiol-reactive group maleimide is shown in orange, the azobenzene photo-sensitive moiety in black, and the competitive antagonist homocholine in blue. In darkness, the azobenzene group adopts the thermally stable, extended trans configuration. Illumination with near-UV (380 nm) light photo-isomerizes the azobenzene core to the twisted, cis configuration. The cis isomer reverses to trans either slowly in dark conditions (kBT) or rapidly under green light (500 nm). Cis-trans photo-isomerization hence results in drastic changes in the geometry and end-to-end distance of MAHoCh. (C) Cartoon representation of β2LinAChR. MAHoCh is tethered to β2E61C, and the receptor still functions in the dark. Isomerizing the photoswitch back and forth between its cis and trans forms with two different wavelengths of light enables reversible photocontrol of the receptor: activatable under green light and antagonized under purple light. (D) Heterologous co-expression of α4 and β2E61C nAChR subunits in Neuro-2a cells. (E) Reversible photocontrol of α4β2LinAChR in Neuro-2a cells. Currents were recorded in whole-cell voltage-clamp mode at a potential of −60 mV and elicited by an application of CCh (1 mM, 1 s, n = 4) or nicotine (100 μM, 2 s, n = 5). Currents were strongly inhibited under 380 nm light (71.3 ± 12.5%, p=0.038 for CCh and 82.1 ± 4.2%, p=0.0082 for nicotine) and fully restored under 525 nm light (p=0.285 for CCh and 0.125 for nicotine). (F) Thermal stability of LinAChR photo-inhibition. After inhibition with 380 nm light, the amplitude of the current remained constant for at least 10 min in darkness (p=1 at t = 12 min), and was restored upon illumination with 525 nm light. All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.003
Figure 2 with 2 supplements
Reversible photo-inhibition of nAChR currents.

(A) Viral transduction of the VTA using a lentivirus encoding pGK-β2E61C-IRES-eGFP. (B) Left, immunocytochemical identification of virally-transduced neurons (GFP-positive) 4 weeks after viral injection. DA neurons are labelled using anti-tyrosine hydroxylase (TH) antibodies. Note that the virus non-selectively transduces TH+ and TH- neurons (arrows). Scale bar 10 μm. Right, scheme illustrating LinAChR expression profile. The β2E61C subunit (red) is incorporated into nAChRs on the soma, dendrites and axon terminals of TH+ and TH- VTA neurons, but excluded from extra-VTA afferents. Local infusion of MAHoCh (red arm) into the VTA labels and photosensitizes solely intra-VTA receptors, and not receptors on DA terminals. (C) Representative photo-inhibition of nicotine-induced currents (500 μM, local puff 500 ms) recorded at −60 mV from a GFP-positive DA neuron labeled with MAHoCh (70 μM, 20 min) in an acute brain slice. (D) Average percent photo-inhibition of nicotinic currents (1-(I380/I525)) evoked using a local puff (500 ms) of 30 μM (49.5 ± 13.2%, p=0.013, one sample t-test) or 500 μM nicotine (67.0 ± 4.3%, p=0.0006), recorded as in (C) from MAHoCh-treated GFP-positive DA neurons (n = 6 and 4 for nicotine 30 and 500 μM, respectively). Control neurons (MAHoCh alone, 30 μM nicotine, Ctrl) show no photo-inhibition (−6.3 ± 7.7%, p=0.453, n = 6). (E) Left: Representative currents induced by nicotine (30 μM) in a control neuron (Ctrl, grey) and a β2E61C-transduced neuron (LinAChR, black). Right: Control (n = 6) and transduced (n = 6) neurons display nicotine-induced currents of same amplitude (−14.5 ± 5.5 and −14.2 ± 4.7 pA, respectively, p=0.97). All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.005
Figure 2—figure supplement 1
Selective transduction of β2E61C in the VTA of WT mice.

(A) Viral transduction of the VTA using a lentivirus encoding pGK-β2E61C-IRES-eGFP. Immunocytochemical identification of virally-transduced neurons (GFP-positive, green). DA neurons are labelled using anti-tyrosine hydroxylase (TH) antibodies (red). Scale bar: 50 μm. IPN: interpeduncular nucleus, ml: medial lemniscus, SNc: substantia nigra pars compacta, SNR: substantia nigra pars reticulata, VTA: ventral tegmental area. (B) Immunocytochemical identification of pontine (i.e. PPN and LDT) cholinergic neurons with anti-ChAT antibodies (red). Note the absence of GFP signal is these afferents to the VTA. Scale bar: 100 μm. PPN: pedunculopontine nucleus; LDT: laterodorsal tegmental nucleus; aq.: aqueduct.

https://doi.org/10.7554/eLife.37487.006
Figure 2—figure supplement 2
No adverse effect of MAHoCh on the basic electrophysiological properties of WT VTA DA neurons.

(A) VTA DA neurons are characterized in patch-clamp configuration by their pacemaker activity and their pronounced after-hyperpolarization (left), and by their typical action potential waveform (middle). Right, they respond to depolarizing currents (+60 pA) by an increase in firing rate, and occasionally showed a sag component upon injection of hyperpolarizing current (−80 pA), in agreement with what has been described in (Lammel et al., 2008). (B) Immunocytochemical identification of VTA DA neurons using TH (red) and biocytin (blue) labeling. 19 VTA neurons were patched, of which 17 were considered DAergic based on their electrophysiological signatures (as in A). Out of these 17 putative DA neurons, 16 were found to be TH+ (i.e. >94%). (C) Left, representative voltage-gated potassium currents recorded from a MAHoCH-treated WT VTA DA neuron in voltage-clamp mode, using 200 ms depolarization steps from −100 to +40 mV (holding potential −60 mV), under 380 (purple) and 525 nm light (green). Right, current versus voltage (I/V) curves for n = 7 MAHoCh-treated WT VTA DA neurons. The amplitudes of voltage-gated potassium currents are similar under both conditions. (D) Left, representative electrophysiological recording of a MAHoCh-treated, WT VTA DA neuron recorded in current clamp mode, upon injection of current (100 pA), and while alternating between 380 (purple) and 525 nm light (green). Middle, frequency versus current (F/I) curves for n = 9 MAHoCh-treated WT VTA DA neurons. The number of evoked spikes are similar under both conditions (p=0.75 for 100 pA step of current). Right, mean value of the resting membrane potential (Vm) of MAHoCh-treated VTA DA neurons (n = 11) is similar under both wavelengths of light (p=0.92). All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.007
Figure 3 with 1 supplement
In vivo photo-control of endogenous cholinergic signaling.

(A) Design of the experimental setup for concurrent recording and photocontrol of midbrain DA neurons in vivo. A micro-drive system (Mini Matrix) is mounted with a stereotaxic frame on the head of an anesthetized mouse, and enables to position in the VTA one cannula for photoswitch injection, up to three tetrodes for electrophysiological recordings, and one optic fiber connected to a beam combiner for optical stimulation. The photoswitch is injected at least an hour prior to the recordings. (B) Representative multi-unit recordings of transduced neurons on two channels of a tetrode while alternating illumination between 390 and 520 nm light. (C) Representative electrophysiological response of a MAHoCh-treated control neuron, while alternating illumination conditions between 390 (purple) and 520 nm light (green) every 5 s. Top, raster plot (n = 19 transitions) centered on the 390 nm light stimuli, and showing both the 390 to 520 and the 520 to 390 nm light transitions. Bottom, peri-stimulus time histogram (PSTH) of firing frequency using a 250 ms bin. (D) Change in firing frequency (expressed in absolute photoswitching) between 390 and 520 nm light for MAHoCh-treated control (Ctrl, light grey, n = 28) and β2E61C-transduced neurons (LinAChR, dark grey, n = 93). Photoswitching is calculated as ((Freq520 – Freq390)/Freq390) and represented in percent. Cumulative distribution indicates that virally transduced neurons significantly photoswitch compared to controls (p=0.0055, Kolmogorov-Smirnov test). Inset, absolute photoswitching for control neurons (1.87 ± 1.60%) is lower than that for transduced neurons (21.35 ± 5.90%). The threshold set at 15% absolute photoswitching (red) was used to determine the fraction of responding neurons in transduced animals (33/93, 35.5%). (E) Left, representative electrophysiological response of a virally transduced, MAHoCh-treated type 1 pDA neuron, represented as in (C). Right: Average firing rate of all type 1 pDA neurons (n = 24), under 520 (green) and 390 nm (purple) light. Firing frequency is significantly lower in 390 nm (1.85 Hz) compared to 520 nm light (3.41 Hz, p=1.19e−07). (F) Top left, raster plot (n = 20 transitions) for the spikes contained within bursts (SWB) under 390 nm and 520 nm light, for the same neuron as in (E). Bottom left, PSTH of instantaneous SWB frequency using a 250 ms bin. Right, average SWB frequency of all type 1 pDA neurons (n = 24), under both wavelengths of light. SWB frequency is significantly lower in 390 compared to 520 nm light (p=0.043). (G) Left, representative electrophysiological response of a virally transduced, MAHoCh-treated type 2 pDA neuron, represented as in (C). Right: Average firing rate of all type 2 pDA neurons (n = 9), under 520 (green) and 390 nm (purple) light. Firing frequency is significantly higher in 390 nm (5.25 Hz) compared to 520 nm light (3.48 Hz, p=0.0039). All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.009
Figure 3—figure supplement 1
Photocontrolling VTA β2LinAChRs in vivo.

(A) Mean firing rate of control neurons (MAHoCh alone n = 28) is not significantly different from mean firing rate of transduced neurons (Type 1 and 2 are pooled, n = 33, p=0.96). (B) Average SWB frequency of all type 2 pDA neurons (n = 9) is similar in 390 and 520 nm light. All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.010
Figure 4 with 1 supplement
Blocking the effects of nicotine selectively in the VTA.

(A) Experimental design for photoswitch injection and subsequent juxtacellular recording coupled to photocontrol. (B) Representative electrophysiological recording of one VTA DA neuron, during an i.v. injection of nicotine (30 μg/kg), under 520 (top, green) and 390 nm light (bottom, purple), showing greater electrical activity in green light. (C) Representative change in firing frequency (top) and in bursting activity (bottom) of a VTA DA neuron, elicited by an i.v. injection of nicotine (30 μg/kg), under 390 and 520 nm light, showing reversible photo-inhibition. (D) Top, average change in firing rate for VTA DA neurons (n = 7) upon nicotine injection under 390 (41.0 ± 15.7 %, purple) and 520 nm light (102.0 ± 14.0 %, green), normalized to the initial response in darkness. Change in firing frequency in 520 nm light is significantly different for 390 nm (p=0.015, Wilcoxon-Mann-Whitney test with Holm-Bonferroni correction) but not from darkness (p=0.81). Bottom, average change in SWB for bursting VTA DA neurons (n = 3) upon nicotine injection under 390 (37.7 ± 15.3 %, purple) and 520 nm light (77.5 ± 20.3 %, green), normalized to the initial response in darkness. All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.012
Figure 4—figure supplement 1
The response of VTA DA neurons to nicotine is similar in WT and in β2E61C-transduced animals.

(A) Example of a recorded transduced DA neuron labeled with neurobiotin (blue) and identified with TH (red) and GFP (green) labeling. 3 out of 7 recorded neurons have been filled with neurobiotin, of which all were confirmed as DAergic by TH labeling. (B) Left, average change in firing rate for VTA DA neurons (n = 7) upon nicotine injection in darkness, and under 390 (purple) and 520 nm light (green). Right, average change in burst firing frequency upon nicotine injection in darkness, and under 390 (purple) and 520 nm light (green); only the busting VTA DA neurons were considered here (n = 3). (C) Average changes in firing rate (top) and in the percent of spikes within bursts (SWB, bottom) for VTA DA neurons from control (left, light grey, n = 37) and β2E61C-transduced animals (right, dark grey, n = 7), upon nicotine i.v. injection (30 μg/kg) in darkness. (D) Changes in firing frequency are not different between control (Δfiring rate = 39.4 %, n = 37) and β2E61C-transduced animals (Δfiring rate = 31.7 %, n = 7, p=0.53). Similarly, changes in the percent of SWB are not different between control and β2E61C-transduced animals (Δ%SWB = 6.44 % and 10.72%, respectively, p=0.68). All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.013
Figure 5 with 1 supplement
Reversibly disrupting nicotine preference.

(A) Experimental design of the opto-fluidic device for opto-pharmacology experiments in freely-moving mice. The cannula guide is chronically implanted above the VTA and is used for both photoswitch and light delivery. (B) Nicotine-place preference protocol. Drug-free pretest (15 min) was followed by 3 consecutive days of pairing, which consisted in morning and evening saline and nicotine (0.5 mg/kg) conditioning sessions (20 min). For experiments using LinAChRs, mice were injected with the photoswitch in the morning and received light (390 or 520 nm, 2 s flashes at 0.1 Hz) in both pairing chambers. On day 5, mice were placed in the central chamber (no drug, no light) and were allowed to freely explore the environment. (C) Mean preference score (ps) for WT mice conditioned with saline (grey, n = 6, ps = −12.8 ± 24.0 s, p=0.69) and with nicotine (black, n = 15, ps = 165.9 ± 39.6 s, p=6.1e−04), and for β2-/- mice conditioned with nicotine (red, n = 6, ps = −16.2 ± 58.7 s, p=0.44). (D) Representative trajectories of β2E61C-transduced and MAHoCh-treated mice conditioned with nicotine, under 390 (purple) and 520 nm light (green). (E) Mean preference for nicotine is abolished under 390 nm (purple, ps = −17.6 ± 63.8 s, p=0.80) and restored under 520 nm light (green, ps = 227.3 ± 72.1 s, p=0.015). Two groups of 7 mice were pooled. All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.015
Figure 5—figure supplement 1
Nicotine-induced CPP.

(A) Epi-fluorescence images of 60 μm coronal midbrain slices with immunostaining for dopamine neurons (tyrosine hydroxylase (TH), red) and transfected area (Green Fluorescent Protein (GFP), green) showing the track of an implanted guide cannula (yellow dashed outline). The yellow arrow-head points to the protruding optical fiber/cannula track. IPN: interpeduncular nucleus, ml: medial lemniscus, SNc: substantia nigra pars compacta, VTA: ventral tegmental area. (B) Representative trajectories for WT mice conditioned with saline (grey) or nicotine (black), and for β2-/- mice conditioned with nicotine (red). (C) Traveled distance in the CPP chamber on the test day, for WT mice conditioned with saline (grey) or nicotine (black), for β2-/- mice conditioned with nicotine (red), and for β2E61C-transduced mice conditioned with nicotine under 390 (purple) or 520 nm light (green). Locomotion for β2E61C-transduced mice is not different from WT animals (p=0.68 and p=0.45, respectively). In contrast, β2-/- mice showed greater travelled distance than WT animals (p=0.0062), as already reported (Avale et al., 2008). All values represent mean ± SEM.

https://doi.org/10.7554/eLife.37487.016

Tables

Key resources table
Reagent type (species)
or resource
DesignationSource or referenceIdentifiersAdditional
information
AntibodyAnti-tyrosine
Hydroxylase
produced in mouse
Sigma-AldrichT1299, RRID:AB_477560
AntibodyAnti-Choline-Acetyltransferase
produced in goat
Merck-MilliporeAB144, RRID:AB_90650
AntibodyAnti-GFP produced
in rabbit
AntibodyAnti-GFP produced
in chicken
Aves LabGFP-1020, RRID:AB_10000240
AntibodyAnti-rabbit
Cy2-conjugated
produced in donkey
Jackson
Immuno
Research
711-225-152, RRID:AB_2340612
AntibodyAnti-mouse
Cy3-conjugated
produced in donkey
Jackson
Immuno
Research
715-165-150, RRID:AB_2340813
AntibodyAnti-chicken
Alexa488-conjugated
Jackson
Immuno
Research
703-545-155, RRID:AB_2340375
Antibodyanti-goat
Alexa
555-conjugated
produced in donkey
Life
Technologies
A21432, RRID:AB_141788
AntibodyAMCA-StreptavidinJackson
ImmunoResearch
016-150-084, RRID:AB_2337243
Strain, strain
background
(mus musculus,
males)
C57Bl/6JRjJanvier
Laboratories,
France
SC-C57J-M, RRID:MGI:5752053
Strain, strain
background
(mus musculus,
males)
ACNB2https://doi.org/
10.1038/374065a0
maintained
on a
C57BL6/J
background
Strain, strain
background
(lentivirus)
Lenti-pGK-B2E61C-
IRES-GFP
This paper
Cell line
(mus musculus)
Neuro 2aSigma-Aldrich89121404-1VL, RRID:CVCL_0470
Transfected
construct
(mus musculus)
pIRES-a4-IRES-
GFP
https://doi.org/10.1038/
nature03694
Transfected
construct
(mus musculus)
pIRES-b2E61C-I
RES-eGFP
this paper
Chemical
compound,
drug
MAHoChhttps://doi.org/10.1038/
nchem.1234
Chemical
compound,
drug
NaClSigma-AldrichS7653
Chemical
compound,
drug
KClSigma-AldrichP9333
Chemical
compound,
drug
NaH2PO4Sigma-AldrichS8282
Chemical
compound,
drug
MgCl2Sigma-AldrichM2670
Chemical
compound,
drug
CaCl2Sigma-Aldrich233506
Chemical
compound,
drug
NaHCO3Sigma-AldrichS6297
Chemical
compound,
drug
SucroseSigma-AldrichS0389
Chemical
compound,
drug
GlucoseSigma-Aldrich49159
Chemical
compound,
drug
Kynurenic AcidSigma-AldrichK3375
Chemical
compound,
drug
Albumin, from
bovine serum
Sigma-AldrichA4503
Chemical
compound,
drug
KGluSigma-AldrichP1847
Chemical
compound,
drug
HEPESSigma-AldrichH3375
Chemical
compound,
drug
EGTASigma-AldrichE3889
Chemical
compound,
drug
ATPSigma-AldrichA9187
Chemical
compound,
drug
GTPSigma-AldrichG8877
Chemical
compound,
drug
BiocytinSigma-AldrichB4261
Chemical
compound,
drug
Nicotine
tartrate
Sigma-AldrichN5260
Chemical
compound,
drug
GlucoseSigma-AldrichG8270
Chemical
compound,
drug
DMEM + GlutamaxLife
Technologies
31966–021
Chemical
compound,
drug
FBSLife
Technologies
10500–064
Chemical
compound,
drug
Non-essential
amino acids
Life
Technologies
11140–035
Chemical
compound,
drug
Pennicilin/
Streptomycin
Life
Technologies
15140–122
Chemical
compound,
drug
TrypsinLife
Technologies
15090–046
Chemical
compound,
drug
PolylysineSigma-AldrichP6282
Chemical
compound,
drug
DMSOSigma-AldrichD2650
Chemical
compound,
drug
Carbamylcholine
Chloride
Sigma-AldrichC4382
Chemical
compound,
drug
DPBS 10xLife
Technologies
14200–067
Chemical
compound,
drug
Neurobiotin TracerVector
laboratories
SP-1120
Chemical
compound,
drug
Prolong Gold
Antifade Reagent
InvitrogenP36930
Software,
algorithm
MATLABMathWorksRRID:SCR_001622
Software,
algorithm
R Project for
Statistical
Computing
http://www.r-project.org/RRID:SCR_001905
Software, algorithmFijihttp://fiji.scRRID:SCR_002285
Software,
algorithm
Adobe
Illustrator CS6
AdobeRRID:SCR_010279
Software,
algorithm
Clampfit
(pClamp suite)
Molecular DevicesRRID:SCR_011323

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  1. Romain Durand-de Cuttoli
  2. Sarah Mondoloni
  3. Fabio Marti
  4. Damien Lemoine
  5. Claire Nguyen
  6. Jérémie Naudé
  7. Thibaut d'Izarny-Gargas
  8. Stéphanie Pons
  9. Uwe Maskos
  10. Dirk Trauner
  11. Richard H Kramer
  12. Philippe Faure
  13. Alexandre Mourot
(2018)
Manipulating midbrain dopamine neurons and reward-related behaviors with light-controllable nicotinic acetylcholine receptors
eLife 7:e37487.
https://doi.org/10.7554/eLife.37487