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- W2992109752 abstract "The genetic diagnosis of patients with seizure disorders has been improved significantly by the development of affordable next-generation sequencing technologies. Indeed, in the last twenty years, dozens of causative genes and thousands of associated variants have been described and for many patients, are now considered responsible for their disease. However, the functional consequences of these mutations are often not studied in vivo even though they are central to understand the pathogenic mechanisms and to identify new therapeutic avenues. One main road block to functionally characterizing pathogenic mutations is generating and characterizing in vivo mammalian models carrying clinically relevant variants in specific genes identified in patients. Although the emergence of new mutagenesis techniques facilitates the production of rodent mutants, the fact that early development occurs internally hampers the investigation of gene function during neurodevelopment. In this context, functional genomics studies using simple animal models such as flies or fish are advantageous since they open a dynamic window of investigation throughout embryonic development. In this review, we will summarize how the use of simple animal models can fill the gap between genetic diagnosis and functional and phenotypic correlates of gene function in vivo. In particular, we will discuss how these simple animals offer the possibility to study gene function at multiple scales, from molecular function (i.e. ion channel activity), to cellular network dynamic and brain activity. As a result, they represent models of choice to model aspects of the disease phenotype and unravel the pathogenic substratum in vivo." @default.
- W2992109752 created "2019-12-13" @default.
- W2992109752 creator A5009735966 @default.
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- W2992109752 date "2019-12-13" @default.
- W2992109752 modified "2023-10-07" @default.
- W2992109752 title "Functional Genomics of Epilepsy and Associated Neurodevelopmental Disorders Using Simple Animal Models: From Genes, Molecules to Brain Networks" @default.
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- W2992109752 doi "https://doi.org/10.3389/fncel.2019.00556" @default.
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