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人类癫痫相关候选基因的斑马鱼模型提供了兴奋性过高的证据。

Zebrafish models of candidate human epilepsy-associated genes provide evidence of hyperexcitability.

作者信息

LaCoursiere Christopher Mark, Ullmann Jeremy F P, Koh Hyun Yong, Turner Laura, Baker Cristina M, Robens Barbara, Shao Wanqing, Rotenberg Alexander, McGraw Christopher M, Poduri Annapurna H

机构信息

F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Boston, MA 02115, USA.

Epilepsy Genetics Program, Department of Neurology, Boston Children's Hospital, Boston, MA 02115, USA.

出版信息

iScience. 2024 Jun 5;27(7):110172. doi: 10.1016/j.isci.2024.110172. eCollection 2024 Jul 19.

Abstract

Hundreds of novel candidate human epilepsy-associated genes have been identified thanks to advancements in next-generation sequencing and large genome-wide association studies, but establishing genetic etiology requires functional validation. We generated a list of >2,200 candidate epilepsy-associated genes, of which 48 were developed into stable loss-of-function (LOF) zebrafish models. Of those 48, evidence of seizure-like behavior was present in 5 (, , , , and ). Further characterization provided evidence for epileptiform activity via electrophysiology in and mutants. Additionally, and mutants showed a decrease in the number of inhibitory interneurons in the optic tectum of larval animals. Further, RNA sequencing (RNA-seq) revealed convergent transcriptional abnormalities between mutant lines, consistent with their developmental defects and hyperexcitable phenotypes. These zebrafish models provide strongest experimental evidence supporting the role of , , and in human epilepsy and further demonstrate the utility of this model system for evaluating candidate human epilepsy genes.

摘要

由于下一代测序技术的进步和大规模全基因组关联研究,已经鉴定出数百个新的人类癫痫相关候选基因,但确定遗传病因需要功能验证。我们生成了一份超过2200个癫痫相关候选基因的列表,其中48个被开发成稳定的功能丧失(LOF)斑马鱼模型。在这48个模型中,有5个(、、、和)出现了癫痫样行为的证据。进一步的表征通过电生理学为和突变体中的癫痫样活动提供了证据。此外,和突变体在幼体动物视顶盖中的抑制性中间神经元数量减少。此外,RNA测序(RNA-seq)揭示了突变系之间趋同的转录异常,这与它们的发育缺陷和过度兴奋的表型一致。这些斑马鱼模型提供了最有力的实验证据,支持、和在人类癫痫中的作用,并进一步证明了该模型系统在评估人类癫痫候选基因方面的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9baa/11253282/b0b6719d23cb/fx1.jpg

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