Modeling Neuronal Diseases in Zebrafish in the Era of CRISPR

Author(s): Angeles Edith Espino-Saldaña, Roberto Rodríguez-Ortiz, Elizabeth Pereida-Jaramillo, Ataúlfo Martínez-Torres*.

Journal Name: Current Neuropharmacology

Volume 18 , Issue 2 , 2020

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Graphical Abstract:


Abstract:

Background: Danio rerio is a powerful experimental model for studies in genetics and development. Recently, CRISPR technology has been applied in this species to mimic various human diseases, including those affecting the nervous system. Zebrafish offer multiple experimental advantages: external embryogenesis, rapid development, transparent embryos, short life cycle, and basic neurobiological processes shared with humans. This animal model, together with the CRISPR system, emerging imaging technologies, and novel behavioral approaches, lay the basis for a prominent future in neuropathology and will undoubtedly accelerate our understanding of brain function and its disorders.

Objective: Gather relevant findings from studies that have used CRISPR technologies in zebrafish to explore basic neuronal function and model human diseases.

Methods: We systematically reviewed the most recent literature about CRISPR technology applications for understanding brain function and neurological disorders in D. rerio. We highlighted the key role of CRISPR in driving forward our understanding of particular topics in neuroscience.

Results: We show specific advances in neurobiology when the CRISPR system has been applied in zebrafish and describe how CRISPR is accelerating our understanding of brain organization.

Conclusion: Today, CRISPR is the preferred method to modify genomes of practically any living organism. Despite the rapid development of CRISPR technologies to generate disease models in zebrafish, more efforts are needed to efficiently combine different disciplines to find the etiology and treatments for many brain diseases.

Keywords: Brain disease models, Danio rerio, genome engineering, zebrafish, optogenetics, CRISPR.

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VOLUME: 18
ISSUE: 2
Year: 2020
Page: [136 - 152]
Pages: 17
DOI: 10.2174/1570159X17666191001145550
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