The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics
Open accessAbstract
SUMMARY In vivo pharmacology and optogenetics hold tremendous promise for dissection of neural circuits, cellular signaling and manipulating neurophysiological systems in awake, behaving animals. Existing neural interface technologies, such as metal cannulas connected to external drug supplies for pharmacological infusions and tethered fiber optics for optogenetics, are not ideal for minimally-invasive, untethered studies on freely behaving animals. Here we introduce wireless optofluidic neural probes that combine ultrathin, soft microfluidic drug delivery with cellular-scale inorganic light-emitting diode (μ-ILED) arrays. These probes are orders of magnitude smaller than cannulas and allow wireless, programmed spatiotemporal control of fluid delivery and photostimulation. We demonstrate these devices in freely moving animals to modify gene expression, deliver peptide ligands, and provide concurrent photostimulation with antagonist drug delivery to manipulate mesoaccumbens reward-related behavior. The minimally-invasive operation of these probes forecasts utility in other organ systems and species, with potential for broad application in biomedical science, engineering, and medicine.
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Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
Matsuzaki, M., Ellis-Davies, G. C. R., Nemoto, T., Miyashita, Y., Iino, M., & Kasai, H. (2001) · Nature Neuroscience · doi:10.1038/nn736 · Cited by 1,563 · cited 1×
“Optopharmacological agents have been enthusiastically received in neuroscience for in vitro applications (Banghart and Sabatini, 2012; Callaway and Katz, 1993; Carter and Sabatini, 2004; Matsuzaki et al., 2001), but their use in vivo has been limited.”
Natural neural projection dynamics underlying social behavior
Gunaydin, L. A., Grosenick, L., Finkelstein, J. C., Kauvar, I. V., Fenno, L. E., Adhikari, A., Lammel, S., Mirzabekov, J. J., Airan, R. D., Zalocusky, K. A., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.017 · Cited by 1,389
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
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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
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Kim, T.-I., McCall, J. G., Jung, Y. H., Huang, X., Siuda, E. R., Li, Y., Song, J., Song, Y. M., Pao, H. A., Kim, R.-H., et al. (2013) · Science · doi:10.1126/science.1232437 · Cited by 1,174
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Kunwar, P. S., Zelikowsky, M., Remedios, R., Cai, H., Yilmaz, M., Meister, M., & Anderson, D. J. (2015) · eLife · doi:10.7554/elife.06633 · Cited by 1,101
Electronic dura mater for long-term multimodal neural interfaces
Minev, I. R., Musienko, P., Hirsch, A., Barraud, Q., Wenger, N., Moraud, E. M., Gandar, J., Capogrosso, M., Milekovic, T., Asboth, L., et al. (2015) · Science · doi:10.1126/science.1260318 · Cited by 1,082
Optical control of mammalian endogenous transcription and epigenetic states
Konermann, S., Brigham, M. D., Trevino, A. E., Hsu, P. D., Heidenreich, M., Cong, L., Platt, R. J., Scott, D. A., Church, G. M., & Zhang, F. (2013) · Nature · doi:10.1038/nature12466 · Cited by 803
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
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Metadata
- Authors
- Jeong, J.-W., McCall, J. G., Shin, G., Zhang, Y., Al-Hasani, R., Kim, M., Li, S., Sim, J. Y., Jang, K.-I., Shi, Y., Hong, D. Y., Liu, Y., Schmitz, G. P., Xia, L., He, Z., Gamble, P., Ray, W. Z., Huang, Y., Bruchas, M. R., & Rogers, J. A.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 162
- Issue
- 3
- Pages
- 662-674
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W4245337313
- Cited by
- 498
- References
- 55
- FWCI
- 20.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Jeong, J.-W., McCall, J. G., Shin, G., Zhang, Y., Al-Hasani, R., Kim, M., Li, S., Sim, J. Y., Jang, K.-I., Shi, Y., Hong, D. Y., Liu, Y., Schmitz, G. P., Xia, L., He, Z., Gamble, P., Ray, W. Z., Huang, Y., Bruchas, M. R., & Rogers, J. A. (2015). Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics. Cell. https://doi.org/10.1016/j.cell.2015.06.058
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
