Designing microfluidic devices for behavioral screening of multiple zebrafish larvae.

behavioral screening electrical stimulation microfluidics multi-fish screening zebrafish

Journal

Biotechnology journal
ISSN: 1860-7314
Titre abrégé: Biotechnol J
Pays: Germany
ID NLM: 101265833

Informations de publication

Date de publication:
Jan 2022
Historique:
revised: 25 08 2021
received: 07 02 2021
accepted: 30 08 2021
pubmed: 5 9 2021
medline: 19 1 2022
entrez: 4 9 2021
Statut: ppublish

Résumé

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. 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 ≈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. 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.

Sections du résumé

BACKGROUND 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 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 ≈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 CONCLUSIONS
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.

Identifiants

pubmed: 34480402
doi: 10.1002/biot.202100076
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2100076

Subventions

Organisme : Ontario Ministry of Colleges and Universities
Organisme : Natural Sciences and Engineering Research Council of Canada
Organisme : Ontario Trillium Foundation

Informations de copyright

© 2021 Wiley-VCH GmbH.

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Auteurs

Arezoo Khalili (A)

Department of Mechanical Engineering, York University, Toronto, ON, Canada.

Ellen van Wijngaarden (E)

Department of Mechanical Engineering, York University, Toronto, ON, Canada.

Khaled Youssef (K)

Department of Mechanical Engineering, York University, Toronto, ON, Canada.

Georg R Zoidl (GR)

Department of Biology, York University, Toronto, ON, Canada.

Pouya Rezai (P)

Department of Mechanical Engineering, York University, Toronto, ON, Canada.

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Classifications MeSH