The NeuroD6 subtype of VTA neurons contributes to psychostimulant sensitization and behavioral reinforcement
Open accessAbstract
Abstract Reward-related behavior is complex and its dysfunction correlated with neuropsychiatric illness. Dopamine (DA) neurons of the ventral tegmental area (VTA) have long been associated with different aspects of reward function, but it remains to be disentangled how distinct VTA DA neurons contribute to the full range of behaviors ascribed to the VTA. Here, a recently identified subtype of VTA neurons molecularly defined by NeuroD6 (NEX1M) was addressed. Among all VTA DA neurons, less than 15% were identified as positive for NeuroD6. In addition to dopaminergic markers, sparse NeuroD6 neurons expressed the vesicular glutamate transporter 2 (Vglut2) gene. To achieve manipulation of NeuroD6 VTA neurons, NeuroD6(NEX)-Cre-driven mouse genetics and optogenetics were implemented. First, expression of vesicular monoamine transporter 2 (VMAT2) was ablated to disrupt dopaminergic function in NeuroD6 VTA neurons. ComparingVmat2lox/lox;NEX-Creconditional knock-out (cKO) mice with littermate controls, it was evident that baseline locomotion, preference for sugar and ethanol, and place preference upon amphetamine-induced and cocaine-induced conditioning were similar between genotypes. However, locomotion upon repeated psychostimulant administration was significantly elevated above control levels in cKO mice. Second, optogenetic activation of NEX-Cre VTA neurons was shown to induce DA release and glutamatergic postsynaptic currents within the nucleus accumbens. Third, optogenetic stimulation of NEX-Cre VTA neuronsin vivoinduced significant place preference behavior, while stimulation of VTA neurons defined by Calretinin failed to cause a similar response. The results show that NeuroD6 VTA neurons exert distinct regulation over specific aspects of reward-related behavior, findings that contribute to the current understanding of VTA neurocircuitry.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Optogenetic stimulation of Neurod6+ neurons induces place preference behavior.
“When optogenetically stimulated, Neurod6+ neurons induce place preference behavior [35].”
From Classification of midbrain dopamine neurons using single-cell gene expression profiling approaches (2020) · cites this paper as [35]
Neurod6+ dopamine neurons appear to co-release glutamate.
“Furthermore, these neurons appear to co-release glutamate [35], consistent with a larger body of work showing glutamate co-release in the medial shell [38–45].”
From Classification of midbrain dopamine neurons using single-cell gene expression profiling approaches (2020) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
Cappello, V., Marchetti, L., Parlanti, P., Landi, S., Tonazzini, I., Cecchini, M., Piazza, V., & Gemmi, M. (2016) · Scientific Reports · doi:10.1038/s41598-016-0001-8 · Cited by 13,097 · see citing works
The Mouse Brain in Stereotaxic Coordinates
Paxinos, G. (2001) · Cited by 12,859 · see citing works
The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346 · see citing works
Dopamine neuron systems in the brain: An update
Björklund, A., & Dunnett, S. B. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.03.006 · Cited by 1,777 · see citing works
Ikemoto, S. (2007) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.05.004 · Cited by 1,477 · see citing works
Sikweyiya, Y. M., & Jewkes, R. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035495 · Cited by 1,315 · see citing works
Input-specific control of reward and aversion in the ventral tegmental area
Lammel, S., Lim, B. K., Ran, C., Huang, K. W., Betley, M. J., Tye, K. M., Deisseroth, K., & Malenka, R. C. (2012) · Nature · doi:10.1038/nature11527 · Cited by 1,300 · see citing works
Optogenetics: 10 years of microbial opsins in neuroscience
Deisseroth, K. A. (2015) · Nature Neuroscience · doi:10.1038/nn.4091 · Cited by 1,286 · see citing works
Phasic Firing in Dopaminergic Neurons Is Sufficient for Behavioral Conditioning
Tsai, H.-C., Zhang, F., Adamantidis, A., Stuber, G. D., Bonci, A., de Lecea, L., & Deisseroth, K. (2009) · Science · doi:10.1126/science.1168878 · Cited by 1,266 · see citing works
Yang, B.-J., Han, X., Yin, L.-L., Xing, M., Xu, Z. H., & Xue, H. (2016) · Nature Communications · doi:10.1038/ncomms11388 · Cited by 1,203 · see citing works
Ventromedial hypothalamic neurons control a defensive emotion state
Kunwar, P. S., Zelikowsky, M., Remedios, R., Cai, H., Balban, M. Y., Meister, M., & Anderson, D. J. (2015) · eLife · doi:10.7554/elife.06633 · Cited by 1,112 · see citing works
Ventral tegmental area: cellular heterogeneity, connectivity and behaviour
Morales, M., & Margolis, E. B. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.165 · Cited by 1,108 · see citing works
Circuit architecture of VTA dopamine neurons revealed by systematic input-output mapping
Beier, K. T., Steinberg, E. E., DeLoach, K. E., Xie, S., Miyamichi, K., Schwarz, L., Gao, X. J., Kremer, E. J., Malenka, R. C., & Luo, L. (2015) · Cell · doi:10.1016/j.cell.2015.07.015 · Cited by 1,068 · see citing works
Molecular diversity of midbrain development in mouse, human, and stem cells
La Manno, G., Gyllborg, D., Codeluppi, S., Nishimura, K., Salto, C., Zeisel, A., Borm, L. E., Stott, S. R. W., Toledo, E. M., Villaescusa, J. C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.027 · Cited by 835 · see citing works
Projection-specific modulation of dopamine neuron synapses by aversive and rewarding stimuli
Lammel, S., Ion, D. I., Roeper, J., & Malenka, R. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.025 · Cited by 766 · see citing works
Progressive parkinsonism in mice with respiratory-chain-deficient dopamine neurons
Ekstrand, M. I., Terzioglu, M., Galter, D., Zhu, S., Hofstetter, C., Lindqvist, E., Thams, S., Bergstrand, A., Hansson, F. S., Trifunovic, A., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605208103 · Cited by 605 · cited 1× · see citing works
“DAT-Cre (Ekstrand et al., 2007), Vglut2-Cre (Borgius et al., 2010), Calb2-Cre (The Jackson Laboratory, RRID:MGI_4365741), and NeuroD6-Cre/NEX-Cre (Goebbels et al., 2006) transgenic mice were bred with C57BL/6N Tac wild-type mice (Taconic) for optogenetics-based experiments.”
MethodGenetic targeting of principal neurons in neocortex and hippocampus of NEX-Cre mice
Goebbels, S., Bormuth, I., Bode, U., Hermanson, O., Schwab, M. H., & Nave, K. (2006) · genesis · doi:10.1002/dvg.20256 · Cited by 579 · see citing works
Churchill, A., Gutiérrez, G. D., Singer, R. A., Lorberbaum, D. S., Fischer, K. A., & Sussel, L. (2017) · eLife · doi:10.7554/elife.20010 · Cited by 543 · see citing works
Reward system and addiction: what dopamine does and doesn’t do
DiChiara, G., & Bassareo, V. (2006) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2006.11.003 · Cited by 534 · see citing works
Dopamine Signaling in reward-related behaviors
Baik, J. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00152 · Cited by 534 · see citing works
Dopaminergic terminals in the nucleus accumbens but not the dorsal striatum corelease glutamate
Stuber, G. D., Hnasko, T. S., Britt, J. P., Edwards, R. H., & Bonci, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1754-10.2010 · Cited by 529 · see citing works
Self-citationPoulin, J.-F., Caronia, G., Hofer, C., Cui, Q., Helm, B., Ramakrishnan, C., Chan, C. S., Dombeck, D. A., Deisseroth, K., & Awatramani, R. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0203-4 · Cited by 423 · see citing works
Dissecting the diversity of midbrain dopamine neurons
Roeper, J. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.003 · Cited by 372 · see citing works
Stamatakis, A. M., Jennings, J. H., Ung, R. L., Blair, G. A., Weinberg, R. J., Neve, R. L., Boyce, F., Mattis, J., Ramakrishnan, C., Deisseroth, K., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.023 · Cited by 364 · see citing works
Chung, C. Y., Seo, H., Sonntag, K. C., Brooks, A., Lin, L., & Isacson, O. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi178 · Cited by 361 · see citing works
Defining midbrain dopaminergic neuron diversity by single-cell gene expression profiling
Poulin, J.-F., Zou, J., Drouin-Ouellet, J., Kim, K.-Y. A., Cicchetti, F., & Awatramani, R. B. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.10.008 · Cited by 352 · see citing works
Diversity of Transgenic Mouse Models for Selective Targeting of Midbrain Dopamine Neurons
Lammel, S., Steinberg, E. E., Földy, C., Wall, N. R., Beier, K. T., Luo, L., & Malenka, R. C. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.036 · Cited by 345 · see citing works
Second-Generation Antipsychotics and Extrapyramidal Adverse Effects
Divac, N., Prostran, M. S., Jakovčevski, I., & Cerovac, N. (2014) · BioMed Research International · doi:10.1155/2014/656370 · Cited by 328 · see citing works
Dopamine neurons projecting to the posterior striatum form an anatomically distinct subclass
Menegas, W., Bergan, J. F., Ogawa, S. K., Isogai, Y., Venkataraju, K. U., Osten, P., Uchida, N., & Watabe‐Uchida, M. (2015) · eLife · doi:10.7554/elife.10032 · Cited by 324 · see citing works
Sufficiency of Mesolimbic Dopamine Neuron Stimulation for the Progression to Addiction
Pascoli, V., Terrier, J. E., Hiver, A., & Lüscher, C. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.017 · Cited by 291 · see citing works
Ventral Tegmental Area Glutamate Neurons: Electrophysiological Properties and Projections
Hnasko, T. S., Hjelmstad, G. O., Fields, H. L., & Edwards, R. H. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3128-12.2012 · Cited by 287 · see citing works
Self-citationHopman, A. H. N., Ramaekers, F. C. �., & Speel, E. M. (1998) · Journal of Histochemistry & Cytochemistry · doi:10.1177/002215549804600611 · Cited by 247 · see citing works
Error detection and representation in the olivo-cerebellar system
Ito, M. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00001 · Cited by 226 · see citing works
Molecular determinants of selective dopaminergic vulnerability in Parkinson’s disease: an update
Brichta, L., & Greengard, P. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00152 · Cited by 214 · see citing works
Root, D. H., Mejías-Aponte, C. A., Qi, J., & Morales, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2029-14.2014 · Cited by 213 · see citing works
Transgenic expression of Cre recombinase from the tyrosine hydroxylase locus
Lindeberg, J., Usoskin, D., Bengtsson, H., Gustafsson, A., Kylberg, A., Söderström, S., & Ebendal, T. (2004) · genesis · doi:10.1002/gene.20065 · Cited by 211 · see citing works
Ventral tegmental area glutamate neurons co-release GABA and promote positive reinforcement
Yoo, J. H., Zell, V., Gutierrez-Reed, N. A., Wu, J., Ressler, R. L., Shenasa, M. A., Johnson, A. B., Fife, K. H., Faget, L. C., & Hnasko, T. S. (2016) · Nature Communications · doi:10.1038/ncomms13697 · Cited by 210 · see citing works
Self-citationVTA glutamatergic inputs to nucleus accumbens drive aversion by acting on GABAergic interneurons
Qi, J., Zhang, S., Wang, H., Barker, D. J., Miranda-Barrientos, J. A., & Morales, M. (2016) · Nature Neuroscience · doi:10.1038/nn.4281 · Cited by 203 · see citing works
Dopamine and impulse control disorders in Parkinson's disease
Weintraub, D. A. (2009) · Annals of Neurology · doi:10.1002/ana.21454 · Cited by 189 · see citing works
Afferent Inputs to Neurotransmitter-Defined Cell Types in the Ventral Tegmental Area
Faget, L. C., Osakada, F., Duan, J., Ressler, R. L., Johnson, A. B., Proudfoot, J., Yoo, J. H., Callaway, E. M., & Hnasko, T. S. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.057 · Cited by 180 · see citing works
Self-citationFu, Y., Yuan, Y., Halliday, G. M., Rusznák, Z., WATSON, C. R. R., & Paxinos, G. (2011) · Brain Structure and Function · doi:10.1007/s00429-011-0349-2 · Cited by 176 · see citing works
Greene, J. G., Dingledine, R. J., & Greenamyre, J. T. (2004) · Neurobiology of Disease · doi:10.1016/j.nbd.2004.10.003 · Cited by 174 · see citing works
Kim, K. M., Baratta, M. V., Yang, A., Lee, D., Boyden, E. S., & Fiorillo, C. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033612 · Cited by 144 · see citing works
Hook, P. W., McClymont, S. A., Cannon, G. H., Law, W. D., Morton, A. J., Goff, L. A., & McCallion, A. S. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.02.001 · Cited by 136 · see citing works
Ikemoto, S., & Bonci, A. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.04.031 · Cited by 122 · see citing works
Rewarding Effects of Optical Stimulation of Ventral Tegmental Area Glutamatergic Neurons
Wang, H., Qi, J., Zhang, S. S., Wang, H., & Morales, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3428-15.2015 · Cited by 119 · see citing works
Considerations When Using Cre-Driver Rodent Lines for Studying Ventral Tegmental Area Circuitry
Stuber, G. D., Stamatakis, A. M., & Kantak, P. A. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.034 · Cited by 105 · see citing works
A transgenic mouse line for molecular genetic analysis of excitatory glutamatergic neurons
Borgius, L., Restrepo, C. E., Leão, R. N., Saleh, N., & Kiehn, O. (2010) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2010.06.016 · Cited by 101 · see citing works
Zhang, Z., Liu, Q., Wen, P., Zhang, J., Rao, X., Zhou, Z., Zhang, H., He, X., Li, J., Zhou, Z., et al. (2017) · eLife · doi:10.7554/elife.25423 · Cited by 89 · see citing works
Narboux‐Nême, N., Sagné, C., Doly, S., Diaz, S. L., Martin, C. B. P., Angenard, G., Martres, M., Bruno Giros, A., Hamon, M., Lanfumey, L., et al. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.142 · Cited by 83 · see citing works
Trudeau, L., & Mestikawy, S. E. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00113 · Cited by 79 · see citing works
Kramer, D. J., Risso, D., Kosillo, P., Ngai, J., & Bateup, H. S. (2018) · eNeuro · doi:10.1523/eneuro.0152-18.2018 · Cited by 70 · see citing works
Cellular Mechanisms of Behavioral Sensitization to Drugs of Abusea
Kalivas, P. W., Striplin, C. D., Steketee, J. D., et al. (1992) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1992.tb25961.x · Cited by 63 · see citing works
Ilango, A., Kesner, A. J., Broker, C. J., Wang, D. V., & Ikemoto, S. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00155 · Cited by 50 · see citing works
Viereckel, T., Dumas, S., Smith-Anttila, C. J. A., Vlcek, B., Bimpisidis, Z., Lagerström, M. C., Konradsson-Geuken, Å., & Wallén-Mackenzie, Å. (2016) · Scientific Reports · doi:10.1038/srep35203 · Cited by 45 · cited 2× · see citing works
“In contrast, another study found that photostimulation of Vglut2-Cre neurons in VTA induced modest real time place preference and self-stimulation (Wang et al., 2015).”
BackgroundResultCre-driven optogenetics in the heterogeneous genetic panorama of the VTA
Pupe, S., & Wallén‐Mackenzie, Å. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.04.005 · Cited by 41 · see citing works
Self-citationKhan, S., Stott, S. R. W., Chabrat, A., Truckenbrodt, A. M., Spencer-Dene, B., Nave, K.-A., Guillemot, F., Levesque, M., & Ang, S.-L. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2414-16.2016 · Cited by 37 · see citing works
Isingrini, E., Perret, L. C., Rainer, Q., Sagueby, S., Moquin, L., Gratton, A. P., & Bruno Giros, A. (2016) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.150028 · Cited by 27 · see citing works
Rodent models of impulsive–compulsive behaviors in Parkinson's disease: How far have we reached?
Cenci, M. A., Francardo, V., O’Sullivan, S. S., & Lindgren, H. S. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.026 · Cited by 27 · see citing works
Nordenankar, K., Anttila, C. J. A., Schweizer, N., Viereckel, T., Birgner, C., Mejía-Toiber, J., Morales, M., Leão, R. N., & Wallén‐Mackenzie, Å. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0778-9 · Cited by 23 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Classification of midbrain dopamine neurons using single-cell gene expression profiling approaches
Poulin, J.-F., Gaertner, Z., Moreno-Ramos, O. A., & Awatramani, R. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.01.004 · Cited by 238 · see citing works
Development, wiring and function of dopamine neuron subtypes
Garritsen, O., van Battum, E. Y., Grossouw, L. M., & Pasterkamp, R. J. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00669-3 · Cited by 128 · see citing works
Vrettou, M., Thalhammer, S. B., Svensson, A.-L., Dumas, S., Nilsson, K. W., Wallén-Mackenzie, Å., Fredriksson, R., Nylander, I., & Comasco, E. (2023) · Drug and Alcohol Dependence Reports · doi:10.1016/j.dadr.2023.100180 · Cited by 4 · see citing works
Self-citation
- Authors
- Bimpisidis, Z., König, N., Stagkourakis, S., Zell, V., Vlcek, B., Dumas, S., Giros, B., Broberger, C., Hnasko, T. S., & Wallén-Mackenzie, Å.
- Affiliations
- Uppsala University (SE)
- Karolinska Institutet (SE)
- University of California San Diego (US)
- ORCID
- Venue
- eNeuro
- Publisher
- Society for Neuroscience
- Published
- 2019-05
- Volume
- 6
- Issue
- 3
- Pages
- ENEURO.0066-19.2019
- ISSN
- 2373-2822 (ISSN-L)
- PMC
- PMC6565376
- OpenAlex
- W2945948316
- Cited by
- 36
- References
- 60
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 8 · 2022: 3 · 2021: 6 · 2020: 10 · 2019: 3
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- eNeuro (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- hjärnfonden
- vetenskapsrådet
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- NeuroD6, ventral tegmental area, dopaminergic neurons, psychostimulant sensitization, behavioral reinforcement, reward-related behavior, VGLUT2, glutamatergic projections, nucleus accumbens, optogenetic stimulation, calretinin, cocaine, amphetamine, locomotion
- MeSH terms
- Ethanol, Amphetamine, Central Nervous System Stimulants, Animals, Cocaine, Corpus Striatum, Female, Locomotion, Male, Nerve Tissue Proteins, Reward, RNA, Messenger, Ventral Tegmental Area, Mice, Knockout, Vesicular Monoamine Transport Proteins, Basic Helix-Loop-Helix Proteins, Dopaminergic Neurons, Optogenetics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review