期刊
BIOTECHNOLOGY JOURNAL
卷 17, 期 1, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/biot.202100076
关键词
behavioral screening; electrical stimulation; microfluidics; multi-fish screening; zebrafish
资金
- Ontario Ministry of Colleges and Universities
- Natural Sciences and Engineering Research Council of Canada
- Ontario Trillium Foundation
By improving the microfluidic device, we successfully increased the number of zebrafish larvae specimens from one to four, with improved efficiency and throughput. The new design reduced testing time per larva and increased loading and orientation efficiencies.
Background Microfluidic devices are being used for phenotypic screening of zebrafish larvae in fundamental and pre-clinical research. A challenge for the broad use of these microfluidic devices is their low throughput, especially in behavioral assays. Previously, we introduced the tail locomotion of a semi-mobile zebrafish larva evoked on-demand with electric signal in a microfluidic device. Here, we report the lessons learned for increasing the number of specimens from one to four larvae in this device. Methods and Results Multiple parameters including loading and testing time per fish and loading and orientation efficiencies were refined to optimize the performance of modified designs. Flow and electric field simulations within the final device provided insight into the flow behavior and functionality of traps when compared to previous single-larva devices. Outcomes led to a new design which decreased the testing time per larva by approximate to 60%. Further, loading and orientation efficiencies increased by more than 80%. Critical behavioral parameters such as response duration and tail beat frequency were similar in both single and quadruple-fish devices. Conclusion The developed microfluidic device has significant advantages for greater throughput and efficiency when behavioral phenotyping is required in various applications, including chemical testing in toxicology and gene screening.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据