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Regioselective Biolistic Targeting in Organotypic Brain Slices Using a Modified Gene Gun
Published on: October 24, 2014
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Gene Targeting in Neuroendocrinology.
Michael Candlish1, Roberto De Angelis1, Viktoria Götz1
1Department of Pharmacology and Toxicology, University of Saarland School of Medicine, Homburg, Germany.
Comprehensive Physiology
|October 2, 2015
Summary
This review explores mouse models for reproductive neuroendocrinology research. It details genetic modification techniques, their pros and cons, and versatile genetic tools for studying the complex reproductive axis.
Area of Science:
- Neuroendocrinology
- Reproductive Biology
- Genetics
Background:
- Neuroendocrine research, particularly in the reproductive axis, is complex due to intricate cell interactions within the hypothalamus, pituitary, and peripheral tissues.
- Hypothalamic nuclei present cellular heterogeneity, making specific neuronal cell targeting challenging.
- In vivo experiments and animal models are crucial for studying the reproductive axis.
Purpose of the Study:
- To review various mouse models employed in reproductive neuroendocrinology.
- To discuss methods for generating genetically modified mice, including their advantages and disadvantages.
- To explore versatile genetic tools applicable to reproductive neuroendocrinology research.
Main Methods:
- Review of existing literature on mouse models in reproductive neuroendocrinology.
- Analysis of different genetic modification strategies in mice.
- Evaluation of genetic tools for neuroendocrine research.
Main Results:
- Targeted genetic modifications in mice offer advanced approaches for neuroendocrine research.
- Various mouse models and genetic tools have been developed for studying the reproductive axis.
- Understanding the advantages and disadvantages of different genetic modification techniques is essential.
Conclusions:
- Genetically modified mouse models are invaluable tools for advancing reproductive neuroendocrinology.
- The selection of appropriate genetic tools and models is critical for overcoming research complexities.
- Continued development and application of genetic technologies will drive future discoveries in the field.

