dc.contributor.author | Vila, Olaia F | |
dc.contributor.author | Uzel, Sebastien Guy Marcel | |
dc.contributor.author | Ma, Stephen P | |
dc.contributor.author | Williams, Damian | |
dc.contributor.author | Pak, Joseph | |
dc.contributor.author | Kamm, Roger Dale | |
dc.contributor.author | Vunjak-Novakovic, Gordana | |
dc.date.accessioned | 2022-07-05T12:57:14Z | |
dc.date.available | 2021-10-27T20:10:49Z | |
dc.date.available | 2022-07-05T12:57:14Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/135122.2 | |
dc.description.abstract | © Ivyspring International Publisher. The study of human neuromuscular diseases has traditionally been performed in animal models, due to the difficulty of performing studies in human subjects. Despite the unquestioned value of animal models, inter-species differences hamper the translation of these findings to clinical trials. Tissue-engineered models of the neuromuscular junction (NMJ) allow for the recapitulation of the human physiology in tightly controlled in vitro settings. Methods: Here we report the first human patient-specific tissue-engineered model of the neuromuscular junction (NMJ) that combines stem cell technology with tissue engineering, optogenetics, microfabrication and image processing. The combination of custom-made hardware and software allows for repeated, quantitative measurements of NMJ function in a user-independent manner. Results: We demonstrate the utility of this model for basic and translational research by characterizing in real time the functional changes during physiological and pathological processes. Principal Conclusions: This system holds great potential for the study of neuromuscular diseases and drug screening, allowing for the extraction of quantitative functional data from a human, patient-specific system. | en_US |
dc.language.iso | en | |
dc.publisher | Ivyspring International Publisher | en_US |
dc.relation.isversionof | 10.7150/THNO.25735 | en_US |
dc.rights | Creative Commons Attribution NonCommercial License 4.0 | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en_US |
dc.source | Theranostics | en_US |
dc.title | Quantification of human neuromuscular function through optogenetics | en_US |
dc.type | Article | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.relation.journal | Theranostics | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-08-17T17:32:28Z | |
dspace.orderedauthors | Vila, OF; Uzel, SGM; Ma, SP; Williams, D; Pak, J; Kamm, RD; Vunjak-Novakovic, G | en_US |
dspace.date.submission | 2020-08-17T17:32:30Z | |
mit.journal.volume | 9 | en_US |
mit.journal.issue | 5 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Publication Information Needed | en_US |