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High-throughput zebrafish intramuscular recording assay

Title
High-throughput zebrafish intramuscular recording assay
Author(s)
Cho, Sung-JoonKang, Yang JunKim, Sohee
DGIST Authors
Cho, Sung-JoonKang, Yang JunKim, Sohee
Issued Date
2020-02
Type
Article
Article Type
Article
Keywords
NMDASPINAL-CORDLOCOMOTIONANESTHESIAEUTHANASIAEMBRYO
ISSN
0925-4005
Abstract
Despite tremendous efforts in utilizing zebrafish in neurological disease studies, owing to their easy handling, low cost, fast growth cycle, fecundity, high genetic similarity to humans, and transparency, the high-throughput electrophysiology methods for zebrafish are still absent. Although methods to detect intramuscular activities of adult and larval zebrafish have been previously introduced, the methods are complicated and time-consuming. Therefore, they have not been widely used in the zebrafish research community. We propose a high-throughput muscular activity measurement method using a simple and clever way of trapping zebrafish with microfluidic chip technology. Zebrafish larvae at 5 days post-fertilization were successfully retained in the designed microfluidic chip and were able to maintain their respiration for more than 24 h as long as the water was supplied through the inlet of the chip. The intramuscular activities of the larvae were obtained while they remained in the water. Significantly, this is the first reported method that can be used for measuring intramuscular activities while the larvae are inside the water. As a demonstration, we successfully modulated the locomotor activities of zebrafish using three different chemicals, proving that the developed method can be useful in monitoring intramuscular activities from multiple larvae and assessing the efficacy of pharmaceuticals. © 2019 Elsevier B.V.
URI
http://hdl.handle.net/20.500.11750/11393
DOI
10.1016/j.snb.2019.127332
Publisher
Elsevier BV
Related Researcher
  • 김소희 Kim, Sohee
  • Research Interests Neural interface; Brain interface; Bio MEMS; Soft MEMS; Stretchable electronics; Zebrafish electrophysiology
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Appears in Collections:
Department of Robotics and Mechatronics Engineering Neural Interfaces & MicroSystems Lab 1. Journal Articles

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