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Fast noninvasive activation and inhibition of neural and network activity by vertebrate rhodopsin and green algae channelrhodopsin
Open accessAbstract
Techniques for fast noninvasive control of neuronal excitability will be of major importance for analyzing and understanding neuronal networks and animal behavior. To develop these tools we demonstrated that two light-activated signaling proteins, vertebrate rat rhodopsin 4 (RO4) and the green algae channelrhodospin 2 (ChR2), could be used to control neuronal excitability and modulate synaptic transmission. Vertebrate rhodopsin couples to the Gi/o, pertussis toxin-sensitive pathway to allow modulation of G protein-gated inward rectifying potassium channels and voltage-gated Ca 2+ channels. Light-mediated activation of RO4 in cultured hippocampal neurons reduces neuronal firing within ms by hyperpolarization of the somato-dendritic membrane and when activated at presynaptic sites modulates synaptic transmission and paired-pulse facilitation. In contrast, somato-dendritic activation of ChR2 depolarizes neurons sufficiently to induce immediate action potentials, which precisely follow the ChR2 activation up to light stimulation frequencies of 20 Hz. To demonstrate that these constructs are useful for regulating network behavior in intact organisms, embryonic chick spinal cords were electroporated with either construct, allowing the frequency of episodes of spontaneous bursting activity, known to be important for motor circuit formation, to be precisely controlled. Thus light-activated vertebrate RO4 and green algae ChR2 allow the antagonistic control of neuronal function within ms to s in a precise, reversible, and noninvasive manner in cultured neurons and intact vertebrate spinal cords.
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Cites
Recycling Endosomes Supply AMPA Receptors for LTP
Park, M., Penick, E. C., Edwards, J. G., Kauer, J. A., & Ehlers, M. D. (2004) · Science · doi:10.1126/science.1102026 · Cited by 730
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Armbruster, B. N., Li, X., Pausch, M. H., Herlitze, S., & Roth, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700293104 · Cited by 2,046
Self-citationOptogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881
The development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398
AGRP neurons are sufficient to orchestrate feeding behavior rapidly and without training
Aponte, Y., Atasoy, D., & Sternson, S. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2739 · Cited by 1,157
Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections
Petreanu, L., Huber, D., Sobczyk, A., & Svoboda, K. (2007) · Nature Neuroscience · doi:10.1038/nn1891 · Cited by 930
Arenkiel, B. R., Peca, J., Davison, I. G., Feliciano, C., Deisseroth, K., Augustine, G. J., Ehlers, M. D., & Feng, G. (2007) · Neuron · doi:10.1016/j.neuron.2007.03.005 · Cited by 755
Mattis, J., Tye, K. M., Ferenczi, E. A., Ramakrishnan, C., O'Shea, D. J., Prakash, R., Gunaydin, L. A., Hyun, M., Fenno, L. E., Gradinaru, V., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1808 · Cited by 780
Neurons born in the adult dentate gyrus form functional synapses with target cells
Toni, N., Laplagne, D. A., Zhao, C., Lombardi, G., Ribak, C. E., Gage, F. H., & Schinder, A. F. (2008) · Nature Neuroscience · doi:10.1038/nn.2156 · Cited by 741
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Xue, M., Atallah, B. V., & Scanziani, M. (2014) · Nature · doi:10.1038/nature13321 · Cited by 722
Optogenetic interrogation of neural circuits: technology for probing mammalian brain structures
Zhang, F., Gradinaru, V., Adamantidis, A. R., Durand, R., Airan, R. D., de Lecea, L., & Deisseroth, K. (2010) · Nature Protocols · doi:10.1038/nprot.2009.226 · Cited by 692
Integration of optogenetics with complementary methodologies in systems neuroscience
Kim, C. K., Adhikari, A., & Deisseroth, K. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.15 · Cited by 690
Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice
Huber, D., Petreanu, L., Ghitani, N., Ranade, S., Hromádka, T., Mainen, Z., & Svoboda, K. (2008) · Nature · doi:10.1038/nature06445 · Cited by 539
Lateral competition for cortical space by layer-specific horizontal circuits
Adesnik, H., & Scanziani, M. (2010) · Nature · doi:10.1038/nature08935 · Cited by 356
Distinct inhibitory circuits orchestrate cortical beta and gamma band oscillations
Chen, G., Zhang, Y., Li, X., Zhao, X., Ye, Q., Lin, Y., Tao, H. W., Rasch, M. J., & Zhang, X. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.033 · Cited by 345
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Rogan, S. C., & Roth, B. L. (2011) · Pharmacological Reviews · doi:10.1124/pr.110.003020 · Cited by 339
Neural coding during active somatosensation revealed using illusory touch
O'Connor, D. H., Hires, S. A., Guo, Z. V., Li, N., Yu, J., Sun, Q.-Q., Huber, D., & Svoboda, K. (2013) · Nature Neuroscience · doi:10.1038/nn.3419 · Cited by 252
Restoration of vision with ectopic expression of human rod opsin
Cehajic-Kapetanovic, J., Eleftheriou, C., Allen, A. E., Milosavljevic, N., Pienaar, A., Bedford, R., Davis, K. E., Bishop, P. N., & Lucas, R. J. (2015) · Current Biology · doi:10.1016/j.cub.2015.07.029 · Cited by 184
Light-Induced Rescue of Breathing after Spinal Cord Injury
Alilain, W. J., Li, X., Horn, K. P., Dhingra, R., Dick, T. E., Herlitze, S., & Silver, J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3378-08.2008 · Cited by 185
Self-citationShining light on wakefulness and arousal
de Lecea, L., Carter, M. E., & Adamantidis, A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.032 · Cited by 103
The antidepressant effect of light therapy from retinal projections.
Li, X., & Li, X. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0210-1 · Cited by 47
Self-citationOptical control of neuronal excitation and inhibition using a single opsin protein, ChR2
Liske, H., Qian, X., Anikeeva, P., Deisseroth, K., & Delp, S. (2013) · Scientific Reports · doi:10.1038/srep03110 · Cited by 42
Noninvasive optical inhibition with a red-shifted microbial rhodopsin
Chuong, A. S., Miri, M. L., Busskamp, V., Matthews, G. A. C., Acker, L. C., Sørensen, A. T., Young, A., Klapoetke, N. C., Henninger, M. A., Kodandaramaiah, S. B., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3752 · Cited by 33
Shifting the paradigm: new approaches for characterizing and classifying neurons
Bernard, A., Sorensen, S. A., & Lein, E. S. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.09.010 · Cited by 26
Spudich, J. L., & Spudich, E. N. (2008) · Animal Models in Eye Research · doi:10.1016/b978-0-12-374169-1.00002-3 · Cited by 6
Metadata
- Authors
- Li, X., Gutierrez, D. V., Hanson, M. G., Han, J., Mark, M. D., Chiel, H., Hegemann, P., Landmesser, L. T., & Herlitze, S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-11-23
- Volume
- 102
- Issue
- 49
- Pages
- 17816-17821
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1995454338
- Cited by
- 542
- References
- 1
- FWCI
- 7.36
- Type
- journal article
- Language
- en
- Open access
- green
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