Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94370
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dc.contributorDepartment of Biomedical Engineeringen_US
dc.creatorHou, Xen_US
dc.creatorQiu, Zen_US
dc.creatorKala, Sen_US
dc.creatorGuo, Jen_US
dc.creatorWong, KFen_US
dc.creatorZhu, Ten_US
dc.creatorZhu, Jen_US
dc.creatorXian, Qen_US
dc.creatorYang, Men_US
dc.creatorSun, Len_US
dc.date.accessioned2022-08-12T03:04:36Z-
dc.date.available2022-08-12T03:04:36Z-
dc.identifier.urihttp://hdl.handle.net/10397/94370-
dc.language.isoenen_US
dc.rightsPosted with permission of the author.en_US
dc.subjectUltrasonic neuromodulationen_US
dc.subjectSonogeneticsen_US
dc.subjectSelective neuron activationen_US
dc.subjectNano gas vesiclesen_US
dc.subjectMechanosensitive ion channelsen_US
dc.subjectMscL-G22Sen_US
dc.titleUltrasound neuromodulation through nanobubble-actuated sonogeneticsen_US
dc.typePreprinten_US
dc.identifier.doi10.1101/2020.10.21.348870en_US
dcterms.abstractUltrasound neuromodulation is a promising new method to manipulate brain activity noninvasively. Here, we detail a neurostimulation scheme using gas-filled nanostructures, gas vesicles (GVs), as actuators for improving the efficacy and precision of ultrasound stimuli. Sonicated primary neurons displayed dose-dependent, repeatable Ca2+ responses, closely synced to stimuli, and increased nuclear expression of the activation marker c-Fos only in the presence of GVs but not without. We identified mechanosensitive ion channels as important mediators of this effect, and neurons heterologously expressing the mechanosensitive MscL-G22S channel showed greater activation at lower acoustic pressure. This treatment scheme was also found not to induce significant cytotoxicity, apoptosis or membrane poration in treated cells. Altogether, we demonstrate a simple and effective method to achieve enhanced and more selective ultrasound neurostimulation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationbioRxiv, 2020, doi: https://doi.org/10.1101/2020.10.21.348870en_US
dcterms.issued2020-
dc.description.validate202208 bcfcen_US
dc.description.oaAuthor’s Originalen_US
dc.identifier.FolderNumberBME-0067-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Innovation Technology Fund; Key-Area Research and Development Program of Guangdong Province; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusNot yet publisheden_US
dc.identifier.OPUS53581388-
dc.description.oaCategoryNAen_US
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