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Investigation of epilepsy-related genes in a Drosophila model
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作者 Xiaochong Qu Xiaodan Lai +6 位作者 Mingfeng He Jinyuan Zhang Binbin Xiang Chuqiao Liu Ruina Huang Yiwu Shi Jingda Qiao 《Neural Regeneration Research》 2026年第1期195-211,共17页
Complex genetic architecture is the major cause of heterogeneity in epilepsy,which poses challenges for accurate diagnosis and precise treatment.A large number of epilepsy candidate genes have been identified from cli... Complex genetic architecture is the major cause of heterogeneity in epilepsy,which poses challenges for accurate diagnosis and precise treatment.A large number of epilepsy candidate genes have been identified from clinical studies,particularly with the widespread use of next-generation sequencing.Validating these candidate genes is emerging as a valuable yet challenging task.Drosophila serves as an ideal animal model for validating candidate genes associated with neurogenetic disorders such as epilepsy,due to its rapid reproduction rate,powerful genetic tools,and efficient use of ethological and electrophysiological assays.Here,we systematically summarize the advantageous techniques of the Drosophila model used to investigate epilepsy genes,including genetic tools for manipulating target gene expression,ethological assays for seizure-like behaviors,electrophysiological techniques,and functional imaging for recording neural activity.We then introduce several typical strategies for identifying epilepsy genes and provide new insights into gene-gene interactions in epilepsy with polygenic causes.We summarize well-established precision medicine strategies for epilepsy and discuss prospective treatment options,including drug therapy and gene therapy for genetic epilepsy based on the Drosophila model.Finally,we also address genetic counseling and assisted reproductive technology as potential approaches for the prevention of genetic epilepsy. 展开更多
关键词 Drosophila melanogaster ELECTROPHYSIOLOGY EPILEPSY genetics morphology neurogenetic diseases POLYGENE precision medicine seizure behavior uas/gal4 system
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