PUBLICATION

Apex Resection in Zebrafish (Danio rerio) as a Model of Heart Regeneration: A Video-Assisted Guide

Authors
Ellman, D.G., Slaiman, I.M., Mathiesen, S.B., Andersen, K.S., Hofmeister, W., Ober, E.A., Andersen, D.C.
ID
ZDB-PUB-210603-30
Date
2021
Source
International Journal of Molecular Sciences   22(11): (Journal)
Registered Authors
Ober, Elke
Keywords
anaesthesia, apex resection, heart, regeneration, surgical videos, zebrafish
MeSH Terms
  • Aminobenzoates
  • Anesthesia, Cardiac Procedures/methods*
  • Anesthetics
  • Animals
  • Audiovisual Aids*
  • Cardiac Imaging Techniques
  • Cardiac Surgical Procedures/methods*
  • Cell Proliferation
  • Heart/diagnostic imaging*
  • Humans
  • Kinetocardiography/methods
  • Myocytes, Cardiac/cytology
  • Myocytes, Cardiac/physiology
  • Regeneration/physiology*
  • Zebrafish
PubMed
34070781 Full text @ Int. J. Mol. Sci.
Abstract
Ischemic heart disease is one of the leading causes of deaths worldwide. A major hindrance to resolving this challenge lies in the mammalian hearts inability to regenerate after injury. In contrast, zebrafish retain a regenerative capacity of the heart throughout their lifetimes. Apex resection (AR) is a popular zebrafish model for studying heart regeneration, and entails resecting 10-20% of the heart in the apex region, whereafter the regeneration process is monitored until the heart is fully regenerated within 60 days. Despite this popularity, video tutorials describing this technique in detail are lacking. In this paper we visualize and describe the entire AR procedure including anaesthesia, surgery, and recovery. In addition, we show that the concentration and duration of anaesthesia are important parameters to consider, to balance sufficient levels of sedation and minimizing mortality. Moreover, we provide examples of how zebrafish heart regeneration can be assessed both in 2D (immunohistochemistry of heart sections) and 3D (analyses of whole, tissue cleared hearts using multiphoton imaging). In summary, this paper aims to aid beginners in establishing and conducting the AR model in their laboratory, but also to spur further interest in improving the model and its evaluation.
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