4.7 Article

Robotic injection of zebrafish embryos for high-throughput screening in disease models

Journal

METHODS
Volume 62, Issue 3, Pages 246-254

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2013.06.002

Keywords

Zebrafish; Microinjection; High-throughput screening; Cancer; Infectious disease; Robotics

Funding

  1. Bio-Medical Materials institute [P5.03 IBIZA]
  2. Dutch Ministry of Economic Affairs
  3. Netherlands Ministry of Economic Affairs [NWOA_6QY9BM]
  4. Netherlands Ministry of Education, Culture and Science
  5. Leiden University Fund (LUF) for robotics
  6. Cyttron, in the Besluit Subsidies Investeringen Kennisinfrastructuur program
  7. Netherlands Organization for Scientific Research
  8. Division for Earth and Life Sciences (ALW)
  9. Netherlands Organization for Scientific Research (NWO) [834.10.004]
  10. EU project ZF-Health [FP7-Health-2009-242048]
  11. ZF-Cancer [HEALTHF2-2008-201439]
  12. FishForPharma [PITN-GA-2011289209]
  13. Dutch Children Cancer foundation

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The increasing use of zebrafish larvae for biomedical research applications is resulting in versatile models for a variety of human diseases. These models exploit the optical transparency of zebrafish larvae and the availability of a large genetic tool box. Here we present detailed protocols for the robotic injection of zebrafish embryos at very high accuracy with a speed of up to 2000 embryos per hour. These protocols are benchmarked for several applications: (1) the injection of DNA for obtaining transgenic animals, (2) the injection of antisense morpholinos that can be used for gene knock-down, (3) the injection of microbes for studying infectious disease, and (4) the injection of human cancer cells as a model for tumor progression. We show examples of how the injected embryos can be screened at high-throughput level using fluorescence analysis. Our methods open up new avenues for the use of zebrafish larvae for large compound screens in the search for new medicines. (C) 2013 The Authors. Published by Elsevier Inc. All rights reserved.

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