Functional investigation of SCN1A deep-intronic variants activating poison exons inclusion.

Autor: Sparber P; Laboratory of Functional Genomics, Research Centre for Medical Genetics, Moskvorechie Street 1, Moscow, Russia, 115478. psparber93@gmail.com., Bychkov I; Laboratory of Hereditary Metabolic Diseases, Research Centre for Medical Genetics, Moscow, Russia., Pyankov D; Genomed Ltd., Moscow, Russia., Skoblov M; Laboratory of Functional Genomics, Research Centre for Medical Genetics, Moskvorechie Street 1, Moscow, Russia, 115478.
Jazyk: angličtina
Zdroj: Human genetics [Hum Genet] 2023 Aug; Vol. 142 (8), pp. 1043-1053. Date of Electronic Publication: 2023 Apr 25.
DOI: 10.1007/s00439-023-02564-y
Abstrakt: Dravet syndrome is a devastating epileptic syndrome characterized by intractable epilepsy with an early age of onset, regression of developmental milestones, ataxia, and motor deficits. Loss-of-function pathogenic variants in the SCN1A gene are found in the majority of patients with Dravet syndrome; however, a significant number of patients remain undiagnosed even after comprehensive genetic testing. Previously, it was shown that intronic elements in the SCN1A gene called poison exons can incorporate into SCN1A mRNA, leading to haploinsufficiency and potentially causing Dravet syndrome. Here, we developed a splicing reporter assay for all described poison exons of the SCN1A gene and validated it using previously reported and artificially introduced variants. Overall, we tested 18 deep-intronic single nucleotide variants and one complex allele in the SCN1A gene. Our approach is capable of evaluating the effect of both variants affecting cis-regulatory sequences and splice-site variants, with the potential to functionally annotate every possible variant within these elements. Moreover, using antisense-modified uridine-rich U7 small nuclear RNAs, we were able to block poison exon incorporation in mutant constructs, an approach that could be used as a promising therapeutic intervention in Dravet syndrome patients with deep-intronic variants.
(© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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