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Natural antisense transcript of sodium channel protein type 1 subunit alpha

Molecular classification
Long non-coding RNA (lncRNA), Natural antisense transcript, Regulatory RNA
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Overview

The natural antisense transcript of sodium channel protein type 1 subunit alpha is a long non-coding RNA molecule generated from the DNA opposite the SCN1A gene, which codes for a voltage-gated sodium channel critical for action potential initiation in neurons. This antisense RNA regulates the amount of SCN1A mRNA and protein, functioning as a gene expression modulator. Therapeutic strategies targeting this NAT, such as antisense oligonucleotides, are under investigation for disorders like Dravet syndrome and chronic pain conditions, where altered SCN1A expression contributes to pathology. Antisense manipulation provides a way to treat haploinsufficiency or gain-of-function disease states by restoring or controlling protein levels.

Other names
SCN1A-NATSCN1A natural antisense transcriptSCN1A antisense RNANAT of sodium channel protein type 1 subunit alpha
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Mechanism of action

Gene expression modulation via ASOs that interfere with the natural antisense transcript, leading to increased productive SCN1A mRNA and protein expression or knockdown of target gene expression by silencing SCN1A-NAT

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Biological functions

Regulation of SCN1A gene expressionModulation of neuronal excitabilityRegulation of mRNA and protein levels of sodium channel protein type 1 subunit alpha
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Disease associations

Epilepsy (specifically Dravet syndrome)Chronic pain syndromes (e.g., Inherited Primary Erythromelalgia, Paroxysmal Extreme Pain Disorder, Painful Small Fibre Neuropathy—when SCN1A is involved)
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Safety considerations

Off-target effects of ASOsPotential for immune activationRisk of unintended neuronal excitability changes causing seizures
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Interacting drugs

Antisense oligonucleotides (ASOs) designed to either increase or decrease SCN1A protein by modulating NAT levels
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Biomarkers

Levels of productive SCN1A mRNASCN1A protein expressionSeizure frequency and severity (in clinical research epilepsy models)

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