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利用斑马鱼对候选睡眠障碍风险基因进行验证

Validation of Candidate Sleep Disorder Risk Genes Using Zebrafish.

作者信息

Tran Steven, Prober David A

机构信息

Division of Biology and Biological Engineering, Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, United States.

出版信息

Front Mol Neurosci. 2022 Apr 7;15:873520. doi: 10.3389/fnmol.2022.873520. eCollection 2022.

DOI:10.3389/fnmol.2022.873520
PMID:35465097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9021570/
Abstract

Sleep disorders and chronic sleep disturbances are common and are associated with cardio-metabolic diseases and neuropsychiatric disorders. Several genetic pathways and neuronal mechanisms that regulate sleep have been described in animal models, but the genes underlying human sleep variation and sleep disorders are largely unknown. Identifying these genes is essential in order to develop effective therapies for sleep disorders and their associated comorbidities. To address this unmet health problem, genome-wide association studies (GWAS) have identified numerous genetic variants associated with human sleep traits and sleep disorders. However, in most cases, it is unclear which gene is responsible for a sleep phenotype that is associated with a genetic variant. As a result, it is necessary to experimentally validate candidate genes identified by GWAS using an animal model. Rodents are ill-suited for this endeavor due to their poor amenability to high-throughput sleep assays and the high costs associated with generating, maintaining, and testing large numbers of mutant lines. Zebrafish (), an alternative vertebrate model for studying sleep, allows for the rapid and cost-effective generation of mutant lines using the CRISPR/Cas9 system. Numerous zebrafish mutant lines can then be tested in parallel using high-throughput behavioral assays to identify genes whose loss affects sleep. This process identifies a gene associated with each GWAS hit that is likely responsible for the human sleep phenotype. This strategy is a powerful complement to GWAS approaches and holds great promise to identify the genetic basis for common human sleep disorders.

摘要

睡眠障碍和慢性睡眠干扰很常见,且与心血管代谢疾病和神经精神疾病相关。动物模型中已描述了几种调节睡眠的遗传途径和神经元机制,但人类睡眠差异和睡眠障碍背后的基因在很大程度上尚不清楚。识别这些基因对于开发针对睡眠障碍及其相关合并症的有效疗法至关重要。为了解决这一未满足的健康问题,全基因组关联研究(GWAS)已识别出许多与人类睡眠特征和睡眠障碍相关的遗传变异。然而,在大多数情况下,尚不清楚哪个基因导致了与遗传变异相关的睡眠表型。因此,有必要使用动物模型对GWAS识别出的候选基因进行实验验证。啮齿动物由于难以适应高通量睡眠检测,且生成、维持和检测大量突变系的成本高昂,因此不适合这项工作。斑马鱼是一种用于研究睡眠的替代脊椎动物模型,它允许使用CRISPR/Cas9系统快速且经济高效地生成突变系。然后可以使用高通量行为检测对大量斑马鱼突变系进行并行测试,以识别其缺失会影响睡眠的基因。这一过程识别出与每个GWAS命中相关的一个基因,该基因可能导致人类睡眠表型。这种策略是对GWAS方法的有力补充,有望识别常见人类睡眠障碍的遗传基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/7a54ae9ec0d6/fnmol-15-873520-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/59d2a7e7a55e/fnmol-15-873520-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/f812b8fb1da8/fnmol-15-873520-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/7a54ae9ec0d6/fnmol-15-873520-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/59d2a7e7a55e/fnmol-15-873520-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/f812b8fb1da8/fnmol-15-873520-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b373/9021570/7a54ae9ec0d6/fnmol-15-873520-g0003.jpg

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Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality.
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