Quasi-Continuous Wave Near-Infrared Excitation of Upconversion Nanoparticles for Optogenetic Manipulation ofC. elegans
| Autor: | Akshaya Bansal, Haichun Liu, Muthu Kumara Gnanasammandhan Jayakumar, Yong Zhang, Stefan Andersson-Engels |
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| Rok vydání: | 2016 |
| Předmět: |
Materials science
Infrared Rays Infrared 02 engineering and technology Optogenetics 010402 general chemistry 01 natural sciences Fluorescence Biomaterials Optics Channelrhodopsins Animals Humans General Materials Science Caenorhabditis elegans business.industry Near-infrared spectroscopy General Chemistry 021001 nanoscience & nanotechnology Photon upconversion 0104 chemical sciences HEK293 Cells Microscopy Fluorescence Multiphoton Nanoparticles Thermodynamics Continuous wave 0210 nano-technology business Excitation Biotechnology Visible spectrum |
| Zdroj: | Small. 12:1732-1743 |
| ISSN: | 1613-6810 |
| Popis: | Optogenetics is an emerging powerful tool to investigate workings of the nervous system. However, the use of low tissue penetrating visible light limits its therapeutic potential. Employing deep penetrating near-infrared (NIR) light for optogenetics would be beneficial but it cannot be used directly. This issue can be tackled with upconversion nanoparticles (UCNs) acting as nanotransducers emitting at shorter wavelengths extending to the UV range upon NIR light excitation. Although attractive, implementation of such NIR-optogenetics is hindered by the low UCN emission intensity that necessitates high NIR excitation intensities, resulting in overheating issues. A novel quasi-continuous wave (quasi-CW) excitation approach is developed that significantly enhances multiphoton emissions from UCNs, and for the first time NIR light-triggered optogenetic manipulations are implemented in vitro and in C. elegans. The approach developed here enables the activation of channelrhodopsin-2 with a significantly lower excitation power and UCN concentration along with negligible phototoxicity as seen with CW excitation, paving the way for therapeutic optogenetics. |
| Databáze: | OpenAIRE |
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