Optogenetic polymerization and assembly of electrically functional polymers for modulation of single-neuron excitability
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s43587-022-00281-1.pdf
Description
Published version
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20.16 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Sessler, Chanan D
Zhou, Yiming
Wang, Wenbo
Hartley, Nolan D
Fu, Zhanyan
Graykowski, David
Sheng, Morgan
Wang, Xiao
Liu, Jia
Date Issued
December 9, 2022
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Sessler, Chanan D, Zhou, Yiming, Wang, Wenbo, Hartley, Nolan D, Fu, Zhanyan et al. 2022. "Optogenetic polymerization and assembly of electrically functional polymers for modulation of single-neuron excitability." Science Advances, 8 (49).
Version
Final published version
Abstract
Ionic conductivity and membrane capacitance are two foundational parameters that govern neuron excitability. Conventional optogenetics has emerged as a powerful tool to temporarily manipulate membrane ionic conductivity in intact biological systems. However, no analogous method exists for precisely manipulating cell membrane capacitance to enable long-lasting modulation of neuronal excitability. Genetically targetable chemical assembly of conductive and insulating polymers can modulate cell membrane capacitance, but further development of this technique has been hindered by poor spatiotemporal control of the polymer deposition and cytotoxicity from the widely diffused peroxide. We address these issues by harnessing genetically targetable photosensitizer proteins to assemble electrically functional polymers in neurons with precise spatiotemporal control. Using whole-cell patch-clamp recordings, we demonstrate that this optogenetic polymerization can achieve stepwise modulation of both neuron membrane capacitance and intrinsic excitability. Furthermore, cytotoxicity can be limited by controlling light exposure, demonstrating a promising new method for precisely modulating cell excitability.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution NonCommercial License 4.0
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DOI of Published Version
https://doi.org/10.1126/sciadv.ade1136
