Abstract
Precision medicines for monogenic brain disorders are rapidly advancing. Voltage-gated sodium channel (VGSC) genes are the leading monogenic cause of severe epilepsy and profound autism spectrum disorder (ASD), most notably SCN1A, SCN2A, SCN3A, and SCN8A. Recent advances in animal and human induced pluripotent stem cell (hiPSC) disease models provide a powerful platform for advancing precision medicines. Thanks to the genomic revolution, many gene therapies are in preclinical studies and clinical trials for VGSC-related diseases, including viral vector gene replacement, clustered regularly interspaced short palindromic repeats (CRISPR) base editing, prime editing, and genetic modulation strategies including antisense oligonucleotides, engineered tRNAs, and CRISPR activation/interference (CRISPRa/i). This review highlights the latest advances in disease modeling and next-generation therapeutic development to advance precision medicine for VGSC-related brain disorders.
Precision medicine for treating monogenic brain disorders
The precision medicine era is rapidly emerging and the promise of the genomic revolution is finally being realized through treatments that are tailored to patient-specific genetic sequences. While precision therapies have been transformative in other fields [1], central nervous system (CNS) disorders are lagging behind, particularly because of the enormous complexity of the brain, diverse cell types, and the restrictive blood–brain barrier (BBB) [2]. However, the burden of rare de novo monogenic CNS disorders is high, and has an estimated global incidence of 1 in 304 individuals [3]. Most rare monogenic CNS disorders do not have disease-modifying pharmaceutical interventions, but may be particularly amenable to gene therapies because of their monogenic nature [2,4]. Thus, there are tremendous opportunities to advance precision therapies for these disorders in the coming decades.
A large subset of neurodevelopment disorders, in particular developmental and epileptic encephalopathy (DEE) and autism spectrum disorder (ASD), are caused by mutations in voltage-gated sodium channel (VGSC) genes, including SCN1A, SCN2A, SCN3A, SCN8A, and SCN1B (SCN2A 2D and 3D structures are shown in Figure 1A,B). These VGSC-related disorders also involve motor, sensory, and visual impairments [5,6]. VGSCs are responsible for the initiation and propagation of action potential (AP) firing, and also regulate dendritic membrane potentials and AP backpropagation [7,8]. Each VGSC differs in its cell type expression patterns, distribution, and subcellular localization (Figure 1C). They also exhibit unique biophysical properties and contribute to AP firing properties differently (Figure 1D). Mutations can cause loss-of-function (LoF), gain-of-function (GoF), or mixed-function effects on VGSCs, and alter neuronal and circuit behavior in ways that need to be considered for therapeutic development [4,6,9–11]. In any case, efficient and safe precision genome editing to directly correct disease-causing mutations would be an optimal solution. Several recent reviews on the physiology, mechanisms, and clinical advances in managing VGSC disorders related to epilepsy and autism can be found elsewhere [4,6,9,10,12], while this review will focus on trends in precision genomic medicine for these neurodevelopmental disorders.
Figure 1. Voltage-gated sodium channel (VGSC) structure and function.

(A) 2D representation of the SCN2A VGSC α subunit. VGSCs are a family of structurally conserved membrane proteins that contain four major domains, each comprising six membrane-spanning α-helices. VGSCs have a conserved ankyrin-G binding motif between domains II and III, which is essential for trafficking to the axon initial segment and nodes of Ranvier. The inactivation gate is found between domains III and IV. Not shown are the VGSC β subunits which modulate channel properties and play other important roles in neuronal physiology. (B) A 3D cryo-electron microscopy (cryo-EM) structure of Nav1.2 complexed with μ-conotoxin KIIIA generated from entry EMD-9780 in the Electron Microscopy Data Bank (EMDB) [135]. (C) Subcellular localization of the predominant VGSCs (SCN1A, SCN2A, and SCN6A) found in adult principal excitatory and inhibitory neurons in the nervous system. VGSCs are mainly localized within the axon initial segment (AIS) and nodes of Ranvier, where action potential firing is initiated and propagated, although they are also expressed in the somatodendritic compartment. (D) Diagram showing the action potentials of low-threshold activation channels (Nav1.1, Nav1.6) and higher-threshold channels (Nav1.2, Nav1.3) that reflect their distinct roles in neuronal excitability. Abbreviations: AIS, axon initial segment; P-loop, pore loop; RMP, resting membrane potential.
To advance precision medicine through the preclinical phase, there are two essential pillars we will discuss in this article: (i) the establishment of disease models, including animal and human cell-based models suitable for testing genetic medicines, and (ii) the development of target-specific and diverse interventions that can be experimentally tested in these disease models.
Disease models of VGSC-related monogenic epilepsy and ASD
The preclinical therapeutic development pipeline relies on in vitro and in vivo disease models that recapitulate human disease phenotypes. Disease phenotypes and mechanisms related to brain disorders can be studied using a variety of methods, including functional electrophysiology, advanced imaging, next-generation sequencing, and behavioral assays (Figure 2). In addition to animal and cell studies, in silico models are also useful for studying VGSC contributions to neuron and network mechanisms [13–15]. Recent advances in animal and human disease models provide a means to advance therapy development toward precision medicine.
Figure 2. Phenotyping methods to test precision medicine for brain disorders.

(Left) Functional neuronal phenotyping for epilepsy and autism can include a variety of in vitro, ex vivo, or in vivo electrophysiology recordings. Calcium imaging bridges the gap between functional assays and advanced imaging. (Top) Immunocytochemistry and immunohistology to quantify anatomical changes in brain structure, and high-resolution morphological analyses of neurons and neuronal components are important readouts for characterizing central nervous system (CNS) disorders (middle panel). (Right) Mass spectrometry (MS) imaging and neurotransmitter/metabolomics can provide important neurochemistry readouts for quantifying systems-level dysfunction. (Lower right) Behavioral phenotypes can reveal clinically relevant correlations that underlie neurological diseases and are useful for evaluating precision medicines. (Lower left) Finally, next-generation sequencing can provide important readouts for identifying system-level dysfunction and identifying novel compensatory pathways that could present new opportunities for precision medicine interventions. Abbreviations: ATAC-seq, assay for transposase-accessible chromatin sequencing; ChIP-seq, chromatin immunoprecipitation and deep sequencing; CUT&RUN, cleavage under targets and release using nuclease; EEG, electroencephalography; HPLC, high-performance liquid chromatography; LC, liquid chromatography; MS, mass spectrometry; scRNA-seq, single-cell RNA sequencing.
Animal models reveal phenotypes that can be used to evaluate precision medicines
Rodent models have been the cornerstone of disease phenotyping, understanding disease mechanisms, and testing new therapeutic modalities (Table 1 lists seminal and recent VGSC-related animal models). These models allow the identification of the mechanistic basis of channelopathy-related autism and epilepsy (Box 1). Interestingly, animal strain-specific phenotypes can be drastically different, and some genetic backgrounds exhibit no discernible phenotypes while others have severe phenotypes [16,17]. Advanced genetic tools have permitted the generation of conditional knock-out and knock-in models using recombinase (Cre/loxP) systems that enable cell type-specific gene manipulation. These models refine our understanding of disease mechanisms by pinpointing the specific contributions of different cell types. By contrast, global knock-in of patient-specific mutations mimics the genetic and functional characteristics of the human condition and enables direct translational research, while humanized gene knock-in is required for translation of gene editors that target human sequences.
Table 1.
Select animal models of VGSC pathologies related to epilepsy and ASD
| Gene | Species | Genotype | Year | Channel function | Phenotype | Refs |
|---|---|---|---|---|---|---|
| SCN1A | Mouse | Scn1a knockout (Δexon26)a | 2006 | LoF | DS | [19] |
| Floxed stop Scn1a*A1783V | 2019 | LoF | DS | [22] | ||
| Scn1a-R1648H | 2010 | LoF | DS | [20] | ||
| Scn1a*K1270T, K1259T | 2021 | LoF | GEFS+ | [21] | ||
| Rat | Scn1a knockout | 2023 | LoF | DS | [24] | |
| Rabbit | Scn1a knockout | 2022 | LoF | DS | [23] | |
| SCN2A | Mouse | Scn2a knockout (NaChαII) (Δexon2)b | 2000 | LoF | +/− Mild behavioral impairment; −/− lethality | [28] |
| Scn2a-p.GAL879-881QQQ (Q54)c | 2001 | GoF | Seizures | [35] | ||
| Scn2a-p.R102Q | 2024 | LoF | decreased vocalization | [33] | ||
| Scn2a gene trap | 2020 | LoF | Strong ASD-related social deficits | [29] | ||
| Scn2a-p.Δ1898/+ | 2021 | LoF | increased social behavior, hyperactivity | [32] | ||
| Scn2a-p.R1882Q | 2021 | GoF | Seizure, SUDEP | [36] | ||
| Scn2a-p.K1422E | 2022 | Mixed Function | Altered seizure susceptibility | [37] | ||
| Rat | LE-Scn2aem1Mcwi | 2021 | LoF | increased social behavior | [34] | |
| SCN3A | Mouse | Scn3aGt | 2017 | LoF | Seizure susceptible | [39] |
| SCN8A | Mouse | Scn8aMED (frameshift knockout)d | 1968 | LoF | Motor end-plate disease | [44] |
| Scn8a-p.N1768D | 2017 | GoF | Seizures | [47] | ||
| Scn8a-p.R1872W | 2019 | GoF | Seizures, SUDEP | [50] | ||
| Scn8a-p.R1620L | 2021 | GoF | Seizures | [49] | ||
| SCN1B | Mouse | Scn1b-null | 2004 | LoF | Seizures | [53,55] |
Scn1a knockout (Δexon26) was the first knockout LoF model of DS.
Scn2a knockout (NaChαII) (Δexon2) was the first knockout Scn2a model.
Scn2a-p.GAL879-881QQQ (Q54) is a non-human variant GoF model.
Scn8aMED mice were identified in 1968; later, in 1995, a frameshift knockout of the Scn8A gene was shown to be the cause of the MED phenotype.
Box 1. The complex roles of VGSCs in the mechanisms of epilepsy and ASD.
The concepts of GoF and LoF have greatly advanced our understanding of VGSC mutations and helped guide clinical interventions [6,25]. Although the LoF/GoF spectrum is useful in relating sodium channel properties to patient phenotypes, this paradigm may oversimplify the predictions of a mutation’s functional effects on neuronal and network activities, due to compensatory mechanisms at the gene regulation and neural network levels.
Similar to the GoF/LoF concept at the molecular level, altered E/I balance at the neuronal circuitry level is the leading hypothesis to explain epilepsy and ASD. In DS, the loss of inhibitory function is expected to increase the E/I ratio, thus triggering epileptic seizures [19]. Likewise, for SCN2A/SCN8A GoF mutations, increased excitatory signals are suggested to increase the E/I ratio that contributes to seizure onset [10,25,45]. However, a simple E/I paradigm has less predictive power for explaining GoF SCN1A mutations, which cause a spectrum of early onset DEE, as well as less severe phenotypes [88]. Nor does the E/I model explain how LoF SCN2A/SCN8A result in autism phenotypes with and without epilepsy [25,43]. Moreover, the relationship between increased E/I ratio and neuronal hyperexcitability, a key phenotype related to autism and epilepsy, is still elusive.
Based on this GoF/LoF paradigm, Scn2a deficiency is expected to impair neuronal excitability. Surprisingly, recent work on Scn2a deficiency in Scn2agt/gt mice has revealed a counterintuitive increased E/I ratio and neuronal hyperexcitability [26]. This neuronal hyperexcitability is evident in many cell types of the Scn2agt/gt mice, including striatal MSNs [26,31], pyramidal excitatory neurons [26,64], and hypothalamic neurons [30]. This paradoxical hyperexcitability was similarly observed in the pyramidal neurons of conditional Scn2a KO mice [27]. Transcriptomics studies suggest that compensatory reductions in voltage-gated potassium channel expression may explain this unexpected hyperexcitability, as potassium channels are major mediators setting neuronal excitability [26]. This hyperexcitability occurred alongside reduced AP amplitudes and increased E/I ratio. Intriguingly, this increased E/I ratio is achieved by reduced excitatory postsynaptic currents and an even stronger reduction of inhibitory postsynaptic current (reduced IPSCs and EPSCs), resulting in a net increase in E/I ratio [26,31]. Furthermore, the neuronal hyperexcitability in Scn2agt/gt mice was shown to lead to elevated background neuronal activity [31]. This increased basal neuronal activity may serve as ‘noise’, reducing the network ‘signal-to-noise’ ratio necessary for typical behaviors (e.g., social interactions) in the Scn2agt/gt mice [31].
Dravet syndrome (DS) is a DEE that is most commonly associated with LoF mutations in SCN1A (Nav1.1). Because SCN1A is expressed predominantly in GABAergic interneurons [18,19], LoF mutations result in loss of inhibitory neurotransmission and disrupted E/I balance. Many Scn1a genetic mouse models have been developed that recapitulate aspects of epileptic phenotypes found in patients with DS, and display spontaneous seizures and sudden unexpected death in epilepsy (SUDEP). These include Scn1a+/− knockouts [19] as well as knock-in missense and protein-truncating variants (PTV) identified in humans [20,21]. Most notably, DS mice exhibit reductions in Scn1a expression in inhibitory interneurons, decreased interneuron excitability, and reduced inhibitory postsynaptic currents and GABA neurotransmitter release, as well as morphological changes and transcriptional perturbations [9,16,19,22]. Larger animal models have also been developed, including DS rat models [23,24]. Cardiac arrhythmias that are implicated in DS-related SUDEP are currently being studied using rabbit DS models which exhibit more human-like heart rhythms [23].
Different patterns of dysfunction occur as a result of SCN2A mutations. SCN2A (Nav1.2) is primarily expressed in principal neurons, including excitatory glutamatergic neurons and striatal medium spiny neurons (MSNs) [10,25–27]. Mutations in SCN2A are the leading monogenic cause of profound ASD and are strongly linked to epilepsies [25]. Heterozygous knockout Scn2a+/− mice only display mild behavioral impairments (unlike Scn1a+/− mice), despite the profound ASD and epileptic phenotypes found in humans carrying a heterozygous LoF mutation [6,25]. Homozygous Scn2a−/− mice exhibit perinatal lethality [28]. To overcome these limitations, an Scn2a gene-trap (Scn2agt/gt) model was developed in which Scn2a expression was globally reduced to ~20–30% of normal (WT) levels. Importantly, these mice display strong social deficits, circadian rhythm disruption, and other impaired innate behaviors [29–31]. The gene-trap cassette design also allows Nav1.2 levels to be restored by virus-based recombinases and enables restoration of Scn2a expression to be studied across the lifespan [29]. In addition, a mouse model with a Scn2a p.T1898NfsX27 (Δ1898/+) frameshift mutation has been reported. This frameshift mutation (located at the C terminus) is hypomorphic, leads to a reduced Nav1.2 expression (40–50% of WT), and results in decreased excitability and AP amplitude in pyramidal neurons, as well as increased sociability [32]. Other mouse studies have used knock-in of LoF SCN2A mutations found in children with ASD that exhibit social and communication abnormalities, such as SCN2A-R102Q from a patient without epilepsy [33]. More recently, there is interest in utilizing Scn2a+/− rat models for studying SCN2A-related ASD, since rats engage in more sophisticated social behavior [34].
On the other hand, Scn2a knock-in murine models were developed to study mixed-function, LoF, and GoF SCN2A mutations (Table 1) [35,36]. Global gene knock-in mice carrying the GoF SCN2A-p.R1882Q variant exhibit 100% mortality by postnatal day 30 (P30), which reflects SUDEP observed in many patients with GoF SCN2A mutations [36]. A mixed-function SCN2A-K1422E mutation was identified in a child with developmental delay, infantile spasms, and ASD. This SCN2A variant exhibits reduced sodium current density but increased Ca2+ conductance, which resulted in reduced AP firing and mixed ion reversal potential; the animal exhibited altered social behavior phenotypes and a rare localized seizure, but interestingly displayed reduced seizure susceptibility [37]. Finally, a LoF SCN2A-R853Q variant mouse model has been developed. Although the patients had a severe late-onset seizure phenotype, the heterozygous variant mice displayed no discernible seizure phenotype [38]. Together, these studies demonstrate the complexity of recapitulating human VGSC-related phenotypes in rodent models.
SCN3A (Nav1.3) is predominantly expressed prenatally, and mutations in this gene generally result in DEE [10]. A Scn3a gene-trap model has been developed that carries a hypomorphic allele with reduced Nav1.3 function. The heterozygous Scn3a+/hyp mice exhibit increased seizure susceptibility, but no spontaneous seizures [39]. Ferret models such as animals expressing mutant SCN3A present an interesting opportunity to study the influence of these genes on higher-order structural folds of the brain that are not possible in smaller rodents [40]. SCN3A-related channelopathies are rarer than other VGSC disorders, possibly due to lower tolerance of mutations because SCN3A is expressed prenatally [10]. Early diagnosis and in utero intervention could be a possible direction to treat SCN3A-related disorders.
SCN8A (Nav1.6) is more widely expressed in the nervous system, both in excitatory and inhibitory neurons of the central and peripheral nervous systems. SCN8A expression increases after SCN2A during the postnatal period and across development, and is mainly localized in the distal aspect of the axon initial segment (AIS) and the nodes of Ranvier [7,41,42]. SCN8A variants follow a similar phenotypic presentation to SCN2A, but have a later age of onset. LoF and haploinsufficiency have been associated with intellectual disability and ASD, with and without seizures [43], and GoF mutations in SCN8A patients can result in early infantile DEE (EIEE13/DEE13). Interestingly, both LoF and GoF SCN8A mutations have been more strongly associated with movement disorders than other VGSCs, probably because Nav1.6 is expressed in peripheral neurons and plays a crucial role at the neuromuscular junction [44–46]. Several murine models for SCN8A have been developed to study GoF mutations, including SCN8A-N1768D [47,48] and SCN8A-R1620L [49]. Conditional knock-in of the GoF SCN8A-p.R1872W mutation into excitatory neurons (using Emx1–cre mice) led to a strong seizure phenotype and SUDEP at 3 weeks in heterozygous mice [50]. On the other hand, Scn8a complete knockout mice (originally Scn8aMED) were used as a model for motor end-plate disease (MED) before later work discovered that Scn8a knockout was responsible for the MED phenotype [44]. Although SCN8A haploinsufficiency causes autism and ataxia disorders in humans, Scn8a+/− mice have a mild or no disease phenotype, while homozygous Scn8a knockouts exhibit movement disorder, progressive paralysis, and premature death at 2–4 months of age [44]. Interestingly, conditional knockout of Scn8a in Purkinje cells (using L7/Pcp2–cre mice) was sufficient to cause motor and social deficits, as well as other ASD-related phenotypes [51].
VGSC β-subunits are auxiliary subunits that facilitate the trafficking and structure of VGSC α-subunits and also play a role in neurite outgrowth, axon projection, and cell adhesion/migration [52]. SCN1B has the strongest association with generalized epilepsy with febrile seizures plus (GEFS+) and DEE (DEE52) [53–55]. Other β-subunits are less commonly associated with brain disorders, and are reviewed elsewhere [52]. Scn1b null mouse models have been established that exhibit generalized spontaneous seizure and ataxia by postnatal week 2, and later SUDEP [53], which recapitulate the DEE52 phenotypes found in humans.
hiPSC-derived models
hiPSC technology enables highly personalized disease modeling and the development of precision medicine. This is crucial because genetic medicines must target human genetic sequences, and these often differ in animals unless they are engineered with humanized sequences. To generate hiPSC models of disease, somatic cells are taken from patients (or reference individuals) and reprogrammed into a pluripotent state using Yamanaka factors [56]. Genome engineering can then be used to generate isogenic controls of patient lines or to insert mutations into reference hiPSC lines (Figure 3) [57,58]. There is notable variability in hiPSC-derived cultures that can arise because of asynchronous maturation and aberrant differentiation into non-neuronal lineages. For consistency and reproducibility, hiPSC models should follow best practices, including isogenic controls to account for genetic background differences, the use of multiple clones, assessment of genetic integrity via genomic sequencing or DNA microarrays, regular pluripotency paneling to ensure high-quality hiPSCs, and the use of specific neuronal markers at later stages to validate each differentiation step [59].
Figure 3. Human induced pluripotent stem cell (hiPSC)-based models for revealing disease phenotypes and advancing the development of next-generation interventions.

(Top) From a blood draw or skin biopsy, peripheral mononuclear blood cells, fibroblasts, or other somatic cells can be reprogrammed into a pluripotent state using reprogramming factors such as the Yamanaka factors (OCT4, SOX2, c-MYC, KLF4) to produce hiPSCs. (Right) Additional genetic engineering can be used to generate isogenic controls, insert mutations into reference lines, correction of mutations in patient lines, and the insertion of reporter genes. (Bottom) hiPSCs can be differentiated into various models relevant to studying disease mechanisms of brain disorders, including 2D cultures (such as neurons, astrocytes, oligodendrocytes, and microglia), cocultures, and 3D brain organoids and assembloids. hiPSC-derived cells can also be injected into immunodeficient host mice to generate human xenograft (chimeric) models. (Left) These hiPSC-derived models can then be used to perform disease-specific phenotyping and preclinical testing of drug/gene therapies and to identify and evaluate novel disease-specific precision medicines for further in vivo and clinical evaluation in patients.
hiPSC-derived neuronal models have seen tremendous advance over the 20 years since the discovery of hiPSCs, starting with 2D neuronal [60] and coculture models [61]. Later, brain region-specific organoids that permit 3D structural organization of cells were developed (e.g., cortical, striatal) [62,63]. More recent innovations have expanded these models to include organoid cocultures with microglia and vascularization [64,65], brain-on-a-chip for modeling the BBB [66], and multi-brain region assembloids with and without microglia [59,67,68].
hiPSC-derived brain cultures have been used to study DS-related SCN1A haploinsufficiency. The SCN1A-S1328P mutation identified in twins with DS was studied in a 2D telencephalic excitatory and medial ganglionic eminence (MGE) inhibitory hiPSC-derived model, where excitatory neurons exhibited normal firing, while MGE-derived inhibitory neurons showed deficits in firing [69]. Furthermore, comparison of different LoF SCN1A mutations in hiPSC-derived neurons revealed hyperexcitability and mutation-specific firing patterns which demonstrate that different mutations can have unique effects on neuron function and thus may respond differently to therapeutic interventions [70].
SCN2A-related autism and epilepsy have been studied in 2D hiPSC-derived neurons. Human reference hiPSCs were engineered to study the heterozygous recurring GoF mutation (SCN2A-L1342P) found in patients with intractable seizures and DEE [14]. hiPSC-derived cortical neurons carrying this GoF mutation displayed a hyperexcitable phenotype compared to isogenic controls [14,61]. The L1342P neurons exhibited reduced pharmacological responsiveness to an FDA-approved nonspecific sodium channel blocker (phenytoin), but remained sensitive to phrixotoxin-3, an experimental selective Nav1.2 blocker. These results suggest that personalized, mutation-specific drug selection might be important for patients with different VGSC mutations [14]. Other work has used hiPSC-derived neurons from SCN2A patients to address how molecular and cellular phenotypes correlate with patient phenotypes [71–73]. Some studies use healthy wild-type lines as a control; however, validation using isogenic controls would help to further distinguish effects related to the genetic background of the hiPSC lines.
hiPSC models of SCN8A-related DEE (EIEE13) were used to study GoF SCN8A mutations found in children with seizures (e.g., R1872L, V1592L, N1759S) [74]. This genotype–phenotype correlation study revealed that two of the epilepsy patient lines exhibited increased persistent sodium current, while the third had increased resurgent sodium current [74]. Importantly, it was found that persistent and resurgent sodium current GoF mutations exhibited differences in pharmacological responsiveness to phenytoin and riluzole, again suggesting mutation-specific anti-epileptic drug responses.
Isogenic iNeurons (NGN2) – neurons derived from hiPSCs expressing neurogenin 2 (NGN2) to induce neuronal differentiation – have been used to study SCN3A DEE variants. The SCN2A-I875T variant was shown to produce persistent sodium currents and aberrant firing patterns. It was then shown that the Nav1.3-selective blocker ICA-121431 normalized the excitability of SCN3A-I875T mutant neurons [75]. NGN2-based iNeuron lines have the advantage of being much faster to generate than dual SMAD inhibition based-patterning but may not accurately mimic neurodevelopmental stages.
Brain organoids and assembloids are another major innovation of hiPSC-derived brain cultures that can provide a more physiologically relevant self-organized 3D environment for neuronal maturation [63]. Multi-omic analysis of cerebral organoid models carrying a SCN1A knockout revealed impaired structure, altered neurotransmitter release, and abnormal developmental trajectories [76]. In addition, SCN2A-p.C959X variant (found in an individual with ASD) brain organoids cocultured with microglia were shown to have elevated synaptic pruning and synapse elimination [64]. SCN2A-variant carrying corticostriatal assembloids and assembloid–microglia coculture models have also been developed which further expand the toolset for uncovering complex disease mechanisms [77,78].
Human cell xenograft models, sometimes called ‘chimeric mice’, represent another advance in disease modeling. This technology combines human cells and rodent models, and leverages the strengths of hiPSC technology to study human cells carrying human genetic sequences within an in vivo context. Chimeric human–mouse brain models are established by transplanting progenitor cells into immunodeficient host animals [59,79,80]. Neuronal chimeric mouse models have been developed for several genetically linked neurodevelopmental disorders [81,82], but have not yet been applied to VGSC-related disorders. Another xenograft model involves transplantation of an entire organoid into the rodent brain; this has been performed for cortical organoids carrying a CACNA1C epilepsy-associated variant, where the transplant received blood supply, differentiated into multiple cortical neuronal layers, and even responded to environmental stimuli [83].
Precision medicine targeting components of the central dogma
The development of precision medicines for monogenic sodium channelopathies requires careful consideration of the specific VGSC types and mutations. For example, for DS LoF SCN1A, therapeutic strategies that increase SCN1A expression in inhibitory neurons are being pursued, but these may be contraindicated in GoF SCN1A [84–88]. In the case of GoF SCN2A/SCN8A-related DEE, strategies to inhibit Nav1.2/Nav1.6 expression may be effective [25,36,89,90], whereas in LoF SCN2A/SCN8A cases it would be beneficial to increase expression [91,92]. Both GoF and LoF mutations in VGSCs can cause disease, and specific interventions are therefore needed for different mutations. Furthermore, effective therapeutics require fine-tuning to determine effective dosing, cell-specific targeting requirements (overexpression of the wrong channel in the wrong cell may be deleterious), and delivery methods. By contrast, gene correction therapy is likely to work on most mutations regardless of the GoF versus LoF properties because the VGSC gene dosage would be regulated through normal homeostatic mechanisms by its natural promoter/enhancer. Over recent years, different strategies targeting various components of the central dogma of molecular biology at the DNA, RNA, and protein levels have been proposed (Figure 4, Key figure) [2,10,12].
Figure 4. Key figure. DNA, RNA, and protein are the key components in the central dogma of molecular biology which can be targeted to treat monogenic disorders.

Precision medicine strategies to treat voltage-gated sodiumchannelopathies
Strategies that restore, replace, or mitigate the consequences of pathogenic mutations are under various stages of development. (Right) Traditionally, small molecules that target proteins are the first-line treatment for managing the symptoms caused by voltage-gated sodium channelopathy (VGSC) disorders, including sodium channel blockers (e.g., carbamazepine) and other antiepileptic drugs (e.g., valproic acid). Monoclonal antibodies have revolutionized immunological disease management by targeting and eliminating harmful molecules, and may be able to target sodium channels. (Middle) At the RNA level, antisense oligonucleotides (ASOs) can be used to modulate protein expression, including in an allele-specific manner. RNA editing may also be used to correct mutations at the RNA level without changing the DNA makeup. Finally, engineered tRNAs that can ‘readthrough’ premature stop codons to produce full-length functional proteins may be promising for nonsense mutations. Exogenous encapsulated RNA can be used to deliver a variety of therapeutics. (Left) At the DNA level, gene replacement therapies are another avenue to treat loss-of-function variants pending the development of effective cell type-specific delivery vehicles. Currently, viral vectors appear to be the most widely studied for gene delivery to the brain. CRISPR activation/interference (CRISPRa/i) are also promising technologies that may have a benefit for gain- and loss-of-function mutations by regulating gene expression at the promoters of VGSC genes. Gene-editing technology has seen major advances in recent years. In particular, CRISPR prime and base editing hold tremendous promise for treating monogenic disease at its root by correcting disease-causing genetic mutations in the genome.
Viral vector-based gene replacement/augmentation therapy
Viral vector-based gene replacement/augmentation therapy has entered the clinic, and several adeno-associated virus (AAV)-based therapies have been approved by the FDA and many more are in clinical trials [93]. In the case of CNS disorders, neurotropic AAVs that efficiently cross the BBB are limited, but new brain-specific vectors are under development [94]. Despite this, the AAV9 strain has been approved as a general vector for gene therapy and was recently tested in an n = 1 trial with hereditary spastic paraplegia [93]. To create an effective viral gene therapy for brain disorders, it is important to consider transgene size, neural tropism, promoters, the developmental window, and BBB delivery.
The use of gene replacement therapy for the delivery of VGSCs is limited by the packaging capacity of AAVs, which can only accommodate ~4.7 kb transgenes [95]. Given that VGSC coding sequences are ~6 kb, alternative strategies are necessary. In the ‘dual AAV’ strategy, the transgene is split into two parts and packaged separately into two AAVs, where each gene fragment is delivered to the target cells and recombined intracellularly. Several dual AAV recombination strategies have been developed, including DNA- [96], mRNA- [97], and protein-based technologies [98]. Protein-based dual AAV recombination utilizes bacterial inteins which allow the target protein to be reconstituted after each half has been translated with high efficiency [96,99–104]. Inteinmediated, interneuron-specific dual AAV SCN1A gene replacement therapy was shown to demonstrate a benefit in preventing SUDEP and seizures in Scn1a-deficient mice [102].
A recent study in Scn1b null mice demonstrated that AAV vector-mediated restoration of Scn1b was able to prolong the mouse lifespan when administered at the neonatal stage, but administration later than P10 was unable to prevent premature death [53]. The use of a single AAV–Scn1b was made possible due to the small size of the SCN1B gene. This study suggests that earlier intervention is more effective, either because of the role of Scn1b in the developmental trajectory or improved biodistribution of the vector within a younger brain. Interestingly, in other cases VGSC-related disorders may be amenable to gene therapy even at the adult stage [31,88,105]. Therefore, the timing of gene therapy could be a crucial factor to consider for the treatment of different VGSC-related disorders.
An alternative to AAV, CAV-2, is an attractive viral vector because it can accommodate a larger cargo payload (~35 kb) and displays neuronal tropism, retrograde transport, low immunogenicity, and long-term expression in the CNS [106]. CAV-2-mediated delivery of Scn1a by direct injection into the hippocampus of DS mice reduced seizures and improved survival [107]. High-capacity human adenoviral vectors (HC-AdVs) have also been developed for large transgene delivery into Scn1a+/− DS mice, which improved survival and attenuated motor and behavioral deficits [85]. These ‘helper-dependent’ vectors do not contain all viral genes and thus require additional vectors for their production, but can accommodate transgenes of up to ~35 kb. New AAV capsids that display a human transferrin receptor-binding domain (hTfR) represent an exciting advance and are being explored as vectors for brain delivery via systemic IV administration [94].
CRISPR-based genome and RNA editing
Direct targeting of the fundamental cause of monogenic disorders through gene editing is becoming feasible. CRISPR technology allows precise genetic targeting, and CRISPR-based editors have rapidly advanced from fundamental biological discovery to FDA approval in an astounding 11 years [108].
While traditional CRISPR-based gene editing is a tremendous tool for genetic engineering, it relies on double-stranded DNA breaks (DSB). Thus, its therapeutic potential suffers from possible off-target and on-target damage including insertions and deletions (indels) caused by non-homologous and microhomology-mediated end-joining (NHEJ/MMEJ). Thus, traditional CRISPR is not ideal for correcting mutations [89] but is useful for targeted gene disruption or knockdown by introducing indels. In a preclinical setting, CRISPR/Cas9 was used to knock out the GoF Scn8a-N1768D variant in a mouse model engineered with multiple silent mutations; knockout led to improved survival and seizure reduction [109]. Base editing (BE), developed in 2016, uses a modified Cas9–deaminase fusion protein that creates only a single-stranded DNA nick (a ‘nickase’), which limits the risk of inducing DSBs [110]. The BE-deaminase domains are limited to four of 12 base substitutions – C>T, A>G, T>C and G>A. Notably, BE can have unintended bystander edits in which conversion of the wrong nucleotide may occur within the editing window. That said, BE demonstrated utility in rescuing seizures and SUDEP in an SCN8A-R1872W GoF mouse model [104]. More recently, prime editing (PE) has been developed. PE contains an engineered reverse transcriptase fused with a Cas9 nickase, which works with the PE guide RNA (pegRNA) to reverse transcribe desired edits into the genome [111]. PE is capable of correcting single base pairs and making small insertions and deletions, and has a lower risk of unintended DNA damage (e.g., indels) [111,112]. Recently, editing efficiencies of >95% have been achieved in hiPSCs [113]. The choice of traditional CRISPR versus PE or BE depends on the exact nature of the required sequence alteration. While a streamlined ‘mutation-agnostic’ editing platform is desirable, the editing efficiency of different mutations is currently variable and needs to be experimentally determined.
Because CRISPR-based editing systems are large, delivery to the brain is a major challenge. While there are ongoing efforts to reduce the size of CRISPR-based editors by using hypercompact Cas9 ancestry proteins that can fit into a single AAV [114], dual AAV is still the most viable delivery approach for brain disorders at this time. Prime and base editors have been successfully delivered to the brain using the dual AAV intein-based systems and have achieved successful editing [99,104,115]. However, virus-based gene-editing vectors, which can persist for long periods of time, may not be ideal as they could continuously interact with DNA and potentially increase the risk of off-target effects. This may be circumvented if self-limiting editor designs can be developed. Recently, CRISPR editors have been delivered as ribonucleoproteins (RNPs) using engineered virus-like particles (eVLPs) and extracellular vesicles (EVs), and have demonstrated successful in vivo genome editing [116–119]. The cells located near the injection site were found to have a higher editing efficiency, likely due to limited diffusion of eVLPs through the brain [117]. Lipid nanoparticle delivery has also been used for CRISPR/Cas9 delivery via intracerebral injection and has achieved promising results [120]. While nonviral vectors do not persist in cells for extended periods of time, the narrow perivascular space reduces their biodistribution throughout the whole brain. Thus, future optimization will be essential to achieve effective editing of the whole brain for the treatment of monogenic brain disorders.
RNA editing is a technology that can correct mutations at the mRNA level and does not alter genomic DNA. One RNA-editing approach uses adenosine deaminase acting on RNA type 2 (ADAR2) which converts adenosine through a two-step process to guanosine (A>G edit). This technology utilizes a guide RNA to target specific bases and has been used to edit the RNA sequence of voltage-gated calcium [121] and potassium channels [122]. In addition to ADAR editing, CRISPR systems have been developed that edit RNA sequences. Cas13 is a family of CRISPR-associated enzyme that can cleave RNA. Researchers have generated RNA editors that use enzymatically deactivated dCas13 fused to an ADAR domain to enable specific A>G [123], and C>U conversions [124]. While these technologies have not been used for VGSCs, they may allow treatment of a variety of diseases without the need to modify DNA.
Modulation of gene and protein expression
Modulation of gene and protein expression is another strategy that has been shown to be effective in disease models of various sodium channelopathies. However, the design of gene modulation therapies for VGSC variants needs to be carefully considered to prevent unintended side effects related to overexpression of the pathogenic allele. Allele-specific approaches have been proposed that only target the pathogenic variant. Allele specificity is likely to be more accurate for small insertions and deletions [125] than for missense variants because a single base-pair difference may not achieve sufficient allele specificity. To improve variant targeting, single-nucleotide polymorphisms (SNPs) identified on the pathogenic allele through long-read sequencing may be useful [126]. The SNP-based allele-specific strategy may also allow the development of ‘mutation-agnostic’ interventions for treating a broader patient population.
Recent successes in gene modulation technologies have been achieved with antisense oligonucleotides (ASOs) – short single-stranded oligonucleotides that alter RNA structure, splicing, and degradation, and thus modulate protein expression [2]. In SCN2A-p.R1882Q GoF variant mice with 100% mortality, gapmer ASO-mediated knockdown extended mutant mouse lifespan and reduced the frequency of seizures [36]. ASOs are also currently in clinical trials for SCN2A GoF mutations (PRAX-222, NCT05737784) [127]. A personalized allele-specific ASO knockdown is being tested in an n = 1 trial for a child carrying a GoF SCN2A mutation (R853Q) (nL-SCN2A-002, NCT06314490). In addition, ASOs have been applied successfully in mouse models of SCN8A-related epilepsy and were able to alleviate seizure-related phenotypes [89]. ASOs can also be designed to increase protein expression and have been used for upregulation of Nav1.1 in DS mouse models where they reduced seizures and SUDEP by using ‘targeted augmentation of nuclear gene output’ (TANGO) [128]. This TANGO ASO targets a ‘poison exon’ of SCN1A pre-mRNA, and consequently increases mRNA and protein levels and upregulates global Nav1.1 levels which can compensate for haploinsufficiency [84,128]. This TANGO ASO strategy (zorevunersen, Stokes Therapeutics; NCT04740476) for SCN1A is in clinical trials. Importantly, the TANGO strategy is contraindicated by SCN1A GoF variants because increased expression of the mutant allele may have detrimental effects in these patients.
CRISPRa/i use catalytically inactive CRISPR–dCas fusion proteins coupled to either a transcriptional activator (e.g., VP64) for CRISPRa or a transcriptional repressor (e.g., KRAB) for CRISPRi, and can thereby modulate target gene expression. In Scn2a+/− haploinsufficient mice, CRISPRa was shown to increase Scn2a expression and rescue cellular phenotypes [91,92]. This approach appears to be well tolerated and did not result in pathogenic consequences as a result of overexpression. Similar CRISPRa strategies have been used to restore inhibitory interneuron excitability by targeting Scn1a promoters in DS mice, and led to a decrease in seizure behavior [86]. In contrast to CRISPRa strategies, CRISPRi could be useful in some instances to target and reduce pathogenic gene expression [129]; however, silencing both the healthy and pathogenic alleles may be deleterious.
Delivery of engineered transcription factors (eTFs) to modulate gene expression is also being attempted. In a DS mouse model, treatment with AAV9-REGABA-eTFSC1A to target the promoter of Scn1a with an eTF in GABAergic interneurons increases Nav1.1 expression and alleviates seizures [87]. This strategy, like many other gene modulatory modalities, requires the use of cell type-specific promoters since TFs can regulate broad-scale signal transduction pathways.
Targeting translational machinery to modify gene expression has been gaining interest. Nonsense mutations are fairly common, and ~11% of single-base substitutions result in a premature stop codon [130]. Typically, nonsense mutations that occur early in the mRNA transcripts undergo nonsense-mediated decay which results in haploinsufficiency. To target these mutations, a translational readthrough strategy has been developed where suppressor tRNAs (sup-tRNAs) target ribosomal machinery to read through stop codons. These suptRNAs have been delivered using AAV-based gene therapy to rescue nonsense mutations [130]. This technology, in theory, should not have the potential side effects of pathological overexpression and could limit target gene expression to the appropriate cell type. However, strategies will be necessary to maximally spare natural stop codon readthrough to further advance clinical translation.
Small molecules and antibodies to target proteins can also be used in a precision medicine manner, including transcriptomic-based drug discovery [30,131]. An expanding array of small molecules have been developed to target VGSCs and treat DEE, but fewer pharmacological treatment options are available for ASD. These have been discussed in other reviews [4,10,12,25,105] and will not be covered here.
Concluding remarks
Research is advancing the treatment landscape for VSCG-related epilepsy and autism, though many questions remain to be answered (see Outstanding questions). Unlike traditional approaches, precision medicine customizes interventions based on the unique genetic mutation of each individual, leading to more effective treatments. Animal models of VGSC-related epilepsy and ASD have revealed phenotypes that provide valuable insights into the mechanisms of disease and provide a platform for evaluating precision medicine. Furthermore, advances in hiPSC-derived models offer a powerful platform for studying human disease mechanisms and testing genetic interventions targeting human sequences. Gene replacement therapies and recent advances in CRISPR, BE, and PE also offer a promising toolkit for intervention. Technologies that enable precise modulation of gene and protein expression are closer to clinical realization, including ASOs, CRISPRa/i, eTFs, and tRNAs.
Outstanding questions.
Do animal and human iPSC models have sufficient predictive power to evaluate the safety and efficacy profile for translating gene therapies into human clinical studies?
There is a move away from animal models for translational research; therefore, how can human cell-based models be improved to more accurately model human diseases and enable clinical translation without the use of animals?
The effective delivery of larger biological therapeutics, including gene therapies to the brain, remains limited: what are the suitable delivery methods for different gene therapies to produce benefit for patients?
What strategies (e.g., cell type-specific promoters) should be used to achieve selective expression of the transgene in the target cell type?
What percentage of neurons needs to be targeted to have a clinically measurable improvement?
Because many VGSCs are important for neurodevelopment, what is the appropriate timing to administer gene therapy? Is there a point where the net benefit is too low?
How durable do gene replacement therapies need to be? Would there be a need for repeated dosing and to what extent can immunosuppression permit re-dosing?
Given the high costs of development and the small patient populations, how can gene therapy clinical trials, including n = 1 trials, be designed to ensure economic feasibility, sustainability, and equitable access?
What levels of cost and risk–benefit will patients/families, clinicians, scientists, and regulators consider appropriate for precision medicine interventions, particularly in conditions that are not life-threatening but cause profound disability?
Despite these recent trends in therapeutic development for VGSC-related epilepsy and autism, there are significant regulatory hurdles in bringing new precision medicines to the market for patients with rare diseases. To overcome these systematic barriers, families, patient advocacy groups, clinicians, and researchers should come together to implement a comprehensive research-readiness infrastructure to facilitate clinical trial design and accelerate FDA approval [132–134]. Working together with all the stakeholders to advance research and beyond, a precision medicine future for monogenic brain disorders will undoubtedly become a reality.
Highlights.
Animal models of voltage-gated sodium channel (VGSC)-related epilepsy and autism reveal insights into disease mechanisms and provide phenotypes to test precision medicines.
Human induced pluripotent stem cell - derived models are rapidly advancing to include 2D cultures, 3D organoids and assembloids, and chimeric mouse models to test therapies in human cells with human gene sequences.
Gene replacement therapies using viral vectors are promising for the treatment of VGSC haploinsufficiency in preclinical trials.
Advances in CRISPR-based platforms (base and prime editing) represent promising gene correction therapies for monogenic brain disorders.
Modalities that modulate gene and protein expression, such as antisense oligonucleotides, engineered tRNAs, CRISPRa/i, and CRISPR epigenetic regulation are evolving rapidly.
Challenges with targeted brain delivery remain one of the largest hurdles in moving forward.
Clinician’s corner.
In children with developmental and epileptic encephalopathy, genetic testing is essential to determine the specific gene and genotype to accurately inform the correct selection of anti-epileptic drugs.
Patients with Dravet syndrome often do not respond well to sodium channel blockers, and valproic acid and the new stiripentol are considered as first-line treatments.
Fenfluramine is a new potential serotonergic add-on that has been approved by the FDA for seizure control in DS.
Patients with SCN1A GoF mutations are generally responsive to sodium channel blockers.
In cases of SCN2A-related disorders, many patients who have clear SCN2A GoF DEE with early-onset seizures are expected to respond well to sodium channel blockers such as carbamazepine and phenytoin.
Sodium channel blockers may be less well tolerated in LoF SCN2A and SCN8A patients with late-onset seizures, but are sometimes used for status epilepticus.
It is suspected that individuals with neurodevelopmental disorders, including profound ASD, may have an underlying genetic basis for their condition. However, because treatment options are limited for ASD, genetic testing is not widely adopted in these patients. If the genetic variants responsible cannot be identified, genetically defined subpopulations of ASD cannot be used to advance basic science and drug development (a ‘catch-22’).
It is important to build a consensus and demonstrate the benefits of genetic testing of children with ASD (and other neurodevelopmental disorders) to stakeholders, which would help to advance precision medicine for this population.
Precision medicine, by definition, is precise and targets a specific or small population. Accordingly, there is a limited pool of patients who are eligible for clinical trials. For example, gene replacement therapies may be broadly applicable to haploinsufficiency mutations (n = 10s to 100s), but a gene-editing therapy for a specific mutation would necessitate an n = 1 trial.
Platform-based approval of gene editing would help to increase patient access to these treatments and lower the costs for expanded trials. The overall development cost of precision therapies for the first few patients will be high (~$10–100 million), which requires support from the government and generous philanthropic partners. It is hopeful that genetic medicines may follow the same trend as genome sequencing, where the first human genome cost >$3 billion but can now be sequenced for <$3000 per genome. Therefore, we expect gene therapy will become accessible to an everexpanding population and offer long-term savings and better health outcomes for society at large.
Acknowledgments
This work of the Yang laboratory was supported by the National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke (NINDS) grants R01 NS117585 and R01 NS123154 (to Y.Y.). M.R. is supported by the Lillian Gilbreth Engineering Postdoctoral Fellowship from Purdue University. The Yang laboratory thanks the FamilieSCN2A Foundation for the Action Potential and the Hodgkin–Huxley Research Awards.
Footnotes
Declaration of interests
The authors declare no conflicts of interest.
References
- 1.Musunuru K et al. (2025) Patient-specific in vivo gene editing to treat a rare genetic disease. N. Engl. J. Med. 392, 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Devinsky O et al. (2025) Gene therapies for neurogenetic disorders. Trends Mol. Med. 31, 814–826 [DOI] [PubMed] [Google Scholar]
- 3.López-Rivera JA et al. (2020) A catalogue of new incidence estimates of monogenic neurodevelopmental disorders caused by de novo variants. Brain 143, 1099–1105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Knowles JK et al. (2022) Precision medicine for genetic epilepsy on the horizon: recent advances, present challenges, and suggestions for continued progress. Epilepsia 63, 2461–2475 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lyu H et al. (2023) Clinical and electrophysiological features of SCN8A variants causing episodic or chronic ataxia. eBioMedicine 98, 104855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Berg AT et al. (2024) Expanded clinical phenotype spectrum correlates with variant function in SCN2A-related disorders. Brain 147, 2761–2774 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hu W et al. (2009) Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation. Nat. Neurosci. 12, 996–1002 [DOI] [PubMed] [Google Scholar]
- 8.Spratt PWE et al. (2019) The autism-associated gene Scn2a contributes to dendritic excitability and synaptic function in the prefrontal cortex. Neuron 103, 673–685 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Mantegazza M et al. (2021) Sodium channelopathies of skeletal muscle and brain. Physiol. Rev. 101, 1633–1689 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Brunklaus A and Lal D (2020) Sodium channel epilepsies and neurodevelopmental disorders: from disease mechanisms to clinical application. Dev. Med. Child Neurol. 62, 784–792 [DOI] [PubMed] [Google Scholar]
- 11.Vanoye CG et al. (2024) Molecular and cellular context influences SCN8A variant function. JCI Insight 9, e177530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Meisler MH et al. (2021) Sodium channelopathies in neurodevelopmental disorders. Nat. Rev. Neurosci. 22, 152–166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ben-Shalom R et al. (2017) Opposing effects on NaV1.2 function underlie differences between SCN2A variants observed in individuals with autism spectrum disorder or infantile seizures. Biol. Psychiatry 82, 224–232 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Que Z et al. (2021) Hyperexcitability and pharmacological responsiveness of cortical neurons derived from human iPSCs carrying epilepsy-associated sodium channel Nav1.2-L1342P genetic variant. J. Neurosci. 41, 10194–10208 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Doorn N et al. (2023) An in silico and in vitro human neuronal network model reveals cellular mechanisms beyond NaV1.1 underlying Dravet syndrome. Stem Cell Rep. 18, 1686–1700 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Mistry AM et al. (2014) Strain- and age-dependent hippocampal neuron sodium currents correlate with epilepsy severity in Dravet syndrome mice. Neurobiol. Dis. 65, 1–11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhang Z et al. (2025) Gene therapies alleviate absence epilepsy associated with Scn2a deficiency in DBA/2J mice. bioRxiv Published online June 6, 2025. 10.1101/2025.06.03.657652 [DOI] [Google Scholar]
- 18.Ogiwara I et al. (2007) Nav1.1 localizes to axons of parvalbumin-positive inhibitory interneurons: a circuit basis for epileptic seizures in mice carrying an Scn1a gene mutation. J. Neurosci. 27, 5903–5914 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Yu FH et al. (2006) Reduced sodium current in GABAergic interneurons in a mouse model of severe myoclonic epilepsy in infancy. Nat. Neurosci. 9, 1142–1149 [DOI] [PubMed] [Google Scholar]
- 20.Martin MS et al. (2010) Altered function of the SCN1A voltage-gated sodium channel leads to γ-aminobutyric acid-ergic (GABAergic) interneuron abnormalities. J. Biol. Chem. 285, 9823–9834 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Das A et al. (2021) Interneuron dysfunction in a new mouse model of SCN1A GEFS+. eNeuro 8 ENEURO.0394–20.2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ricobaraza A et al. (2019) Epilepsy and neuropsychiatric comorbidities in mice carrying a recurrent Dravet syndrome SCN1A missense mutation. Sci. Rep. 9, 14172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ramos-Mondragon R et al. (2022) Development of a transgenic rabbit model of Dravet syndrome. Circulation 146, A12541 [Google Scholar]
- 24.Li M et al. (2023) A novel rat model of Dravet syndrome recapitulates clinical hallmarks. Neurobiol. Dis. 184, 106193. [DOI] [PubMed] [Google Scholar]
- 25.Sanders SJ et al. (2018) Progress in understanding and treating SCN2A-Mediated Disorders. Trends Neurosci. 41, 442–456 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zhang J et al. (2021) Severe deficiency of the voltage-gated sodium channel NaV1.2 elevates neuronal excitability in adult mice. Cell Rep. 36, 109495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Spratt PWE et al. (2021) Paradoxical hyperexcitability from NaV1.2 sodium channel loss in neocortical pyramidal cells. Cell Rep. 36, 109483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Planells-Cases R et al. (2000) Neuronal death and perinatal lethality in voltage-gated sodium channel αii-deficient mice. Biophys. J. 78, 2878–2891 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Eaton M et al. (2021) Generation and basic characterization of a gene-trap knockout mouse model of Scn2a with a substantial reduction of voltage-gated sodium channel Nav1.2 expression. Genes Brain Behav. 20, e12725. [DOI] [PubMed] [Google Scholar]
- 30.Ma Z et al. (2022) Deficiency of autism-related Scn2a gene in mice disrupts sleep patterns and circadian rhythms. Neurobiol. Dis. 168, 105690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zhang J et al. (2025) Restoration of excitation/inhibition balance enhances neuronal signal-to-noise ratio and rescues social deficits in autism-associated Scn2a-deficiency. bioRxiv Published online March 5, 2025. 10.1101/2025.03.04.641498 [DOI] [Google Scholar]
- 32.Wang H-G et al. (2021) Scn2a severe hypomorphic mutation decreases excitatory synaptic input and causes autism-associated behaviors. JCI Insight 6, e150698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gao Y et al. (2024) Proximity analysis of native proteomes reveals phenotypic modifiers in a mouse model of autism and related neurodevelopmental conditions. Nat. Commun. 15, 6801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Klibaite U et al. (2025) Mapping the landscape of social behavior. Cell 188, 2249–2266 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kearney JA et al. (2001) A gain-of-function mutation in the sodium channel gene Scn2a results in seizures and behavioral abnormalities. Neuroscience 102, 307–317 [DOI] [PubMed] [Google Scholar]
- 36.Li M et al. (2021) Antisense oligonucleotide therapy reduces seizures and extends life span in an SCN2A gain-of-function epilepsy model. J. Clin. Invest. 131, e152079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Echevarria-Cooper DM et al. (2022) Cellular and behavioral effects of altered NaV1.2 sodium channel ion permeability in Scn2aK1422E mice. Hum. Mol. Genet. 31, 2964–2988 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Jia L et al. (2024) Variant-specific in vitro neuronal network phenotypes and drug sensitivity in SCN2A developmental and epileptic encephalopathy. J. Neurochem. 168, 3950–3961 [DOI] [PubMed] [Google Scholar]
- 39.Lamar T et al. (2017) SCN3A deficiency associated with increased seizure susceptibility. Neurobiol. Dis. 102, 38–48 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Smith RS et al. (2018) Sodium channel SCN3A (NaV1.3) regulation of human cerebral cortical folding and oral motor development. Neuron 99, 905–913 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Caldwell JH et al. (2000) Sodium channel Nav1.6 is localized at nodes of Ranvier, dendrites, and synapses. Proc. Natl. Acad. Sci. 97, 5616–5620 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ye M et al. (2018) Differential roles of NaV1.2 and NaV1.6 in regulating neuronal excitability at febrile temperature and distinct contributions to febrile seizures. Sci. Rep. 8, 753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Wagnon JL et al. (2017) Loss-of-function variants of SCN8A in intellectual disability without seizures. Neurol. Genet. 3, e170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Burgess DL et al. (1995) Mutation of a new sodium channel gene, Scn8a, in the mouse mutant “motor end-plate disease”. Nat. Genet. 10, 461–465 [DOI] [PubMed] [Google Scholar]
- 45.Meisler MH (2019) SCN8A encephalopathy: mechanisms and models. Epilepsia 60, S86–S91 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Duchen LW (1970) Hereditary motor end-plate disease in the mouse: light and electron microscopic studies. J. Neurol. Neurosurg. Psychiatry 33, 238–250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lopez-Santiago LF et al. (2017) Neuronal hyperexcitability in a mouse model of SCN8A epileptic encephalopathy. Proc. Natl. Acad. Sci. 114, 2383–2388 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Yu W et al. (2024) Dentate gyrus granule cells are a locus of pathology in Scn8a developmental encephalopathy. Neurobiol. Dis. 199, 106591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Wong JC et al. (2021) Autistic-like behavior, spontaneous seizures, and increased neuronal excitability in a Scn8a mouse model. Neuropsychopharmacology 46, 2011–2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Bunton-Stasyshyn RKA et al. (2019) Prominent role of forebrain excitatory neurons in SCN8A encephalopathy. Brain 142, 362–375 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Yang X et al. (2022) Social deficits and cerebellar degeneration in Purkinje cell Scn8a knockout mice. Front. Mol. Neurosci. 15, 822129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Bouza AA and Isom LL (2018) Voltage-gated sodium channel β subunits and their related diseases. Handb. Exp. Pharmacol. 246, 423–450 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Chen C et al. (2025) Neonatal but not juvenile gene therapy reduces seizures and prolongs lifespan in SCN1B-Dravet syndrome mice. J. Clin. Invest. 135, e182584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Zhu Z et al. (2022) SCN1B genetic variants: a review of the spectrum of clinical phenotypes and a report of early myoclonic encephalopathy. Child. Basel Switz. 9, 1507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Chen C et al. (2004) Mice lacking sodium channel β1 subunits display defects in neuronal excitability, sodium channel expression, and nodal architecture. J. Neurosci. 24, 4030–4042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Takahashi K and Yamanaka S (2006) Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663–676 [DOI] [PubMed] [Google Scholar]
- 57.Pantazis CB et al. (2022) A reference human induced pluripotent stem cell line for large-scale collaborative studies. Cell Stem Cell 29, 1685–1702.e22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Skarnes WC et al. (2019) Improving homology-directed repair efficiency in human stem cells. Methods San Diego Calif. 164–165, 18–28 [DOI] [PubMed] [Google Scholar]
- 59.Pa ca SP et al. (2024) A framework for neural organoids, assembloids and transplantation studies. Nature 639, 315–320 [DOI] [PubMed] [Google Scholar]
- 60.Okano H and Yamanaka S (2014) iPS cell technologies: significance and applications to CNS regeneration and disease. Mol. Brain 7, 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Que Z et al. (2025) Human iPSC-derived microglia sense and dampen hyperexcitability of cortical neurons carrying the epilepsy-associated SCN2A-L1342P mutation. J. Neurosci. 45, e2027232024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Urresti J et al. (2021) Cortical organoids model early brain development disrupted by 16p11.2 copy number variants in autism. Mol. Psychiatry 26, 7560–7580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Olivero-Acosta MI et al. (2025) Epilepsy-associated SCN2A-L1342P mutation drives network hyperexcitability and widespread transcriptomic changes in human cortical organoids. bioRxiv Published online August 19, 2025. 10.1101/2025.08.18.670956 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Wu J et al. (2024) Microglial over-pruning of synapses during development in autism-associated SCN2A-deficient mice and human cerebral organoids. Mol. Psychiatry 29, 2424–2437 [DOI] [PubMed] [Google Scholar]
- 65.Cakir B et al. (2019) Engineering of human brain organoids with a functional vascular-like system. Nat. Methods 16, 1169–1175 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Servais B et al. (2024) Engineering brain-on-a-chip platforms. Nat. Rev. Bioeng. 2, 691–709 [Google Scholar]
- 67.Kim J et al. (2024) Human assembloids reveal the consequences of CACNA1G gene variants in the thalamocortical pathway. Neuron 112, 4048–4059.e7 [DOI] [PubMed] [Google Scholar]
- 68.Patton MH et al. (2024) Synaptic plasticity in human thalamocortical assembloids. Cell Rep. 43, 114503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Sun Y et al. (2016) A deleterious Nav1.1 mutation selectively impairs telencephalic inhibitory neurons derived from Dravet syndrome patients. eLife 5, e13073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.van Hugte EJH et al. (2023) SCN1A-deficient excitatory neuronal networks display mutation-specific phenotypes. Brain 146, 5153–5167 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Asadollahi R et al. (2023) Pathogenic SCN2A variants cause early-stage dysfunction in patient-derived neurons. Hum. Mol. Genet. 32, 2192–2204 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Mao M et al. (2024) Distinctive in vitro phenotypes in iPSC-derived neurons from patients with gain- and loss-of-function SCN2A developmental and epileptic encephalopathy. J. Neurosci. 44, e0692232023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Brown CO et al. (2024) Disruption of the autism-associated gene SCN2A alters synaptic development and neuronal signaling in patient iPSC-glutamatergic neurons. Front. Cell. Neurosci. 17, 1239069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Tidball AM et al. (2020) Variant-specific changes in persistent or resurgent sodium current in SCN8A-related epilepsy patient-derived neurons. Brain 143, 3025–3040 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Qu G et al. (2024) Targeted blockade of aberrant sodium current in a stem cell-derived neuron model of SCN3A encephalopathy. Brain 147, 1247–1263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Koh B et al. (2024) Unraveling the molecular landscape of SCN1A gene knockout in cerebral organoids: a multiomics approach utilizing proteomics, lipidomics, and transcriptomics. ACS Omega 9, 39804–39816 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Wu J et al. (2025) Human microglia in brain assembloids display region-specific diversity and respond to hyperexcitable neurons carrying SCN2A mutation: microglial diversity and response in assembloidsbio. bioRxiv Published online June 4, 2025. 10.1101/2025.06.04.657874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Chen X et al. (2025) Autism-associated SCN2A deficiency disrupts cortico-striatal circuitry in human brain assembloids. bioRxiv Published online June 3, 2025. 10.1101/2025.06.02.657036 [DOI] [Google Scholar]
- 79.Xu R et al. (2020) Human iPSC-derived mature microglia retain their identity and functionally integrate in the chimeric mouse brain. Nat. Commun. 11, 1577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Xu R et al. (2019) OLIG2 drives abnormal neurodevelopmental phenotypes in human iPSC-based organoid and chimeric mouse models of Down syndrome. Cell Stem Cell 24, 908–926.e8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Vitrac A et al. (2020) A chimeric mouse model to study human iPSC-derived neurons: the case of a truncating SHANK3 mutation. Sci. Rep. 10, 13315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Nadadhur AG et al. (2019) Neuron–glia interactions increase neuronal phenotypes in tuberous sclerosis complex patient iPSC-derived models. Stem Cell Rep. 12, 42–56 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Revah O et al. (2022) Maturation and circuit integration of transplanted human cortical organoids. Nature 610, 319–326 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Han Z et al. (2020) Antisense oligonucleotides increase Scn1a expression and reduce seizures and SUDEP incidence in a mouse model of Dravet syndrome. Sci. Transl. Med. 12, eaaz6100. [DOI] [PubMed] [Google Scholar]
- 85.Mora-Jimenez L et al. (2021) Transfer of SCN1A to the brain of adolescent mouse model of Dravet syndrome improves epileptic, motor, and behavioral manifestations. Mol. Ther. Nucleic Acids 25, 585–602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Colasante G et al. (2020) dCas9-based Scn1a gene activation restores inhibitory interneuron excitability and attenuates seizures in Dravet syndrome mice. Mol. Ther. 28, 235–253 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Tanenhaus A et al. (2022) Cell-selective adeno-associated virus-mediated SCN1A gene regulation therapy rescues mortality and seizure phenotypes in a Dravet syndrome mouse model and is well tolerated in nonhuman primates. Hum. Gene Ther. 33, 579–597 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Brunklaus A et al. (2022) The gain of function SCN1A disorder spectrum: novel epilepsy phenotypes and therapeutic implications. Brain 145, 3816–3831 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Hill SF et al. (2024) Long-term downregulation of the sodium channel gene Scn8a is therapeutic in mouse models of SCN8A epilepsy. Ann. Neurol. 95, 754–759 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lenk GM et al. (2020) Scn8a antisense oligonucleotide is protective in mouse models of SCN8A encephalopathy and Dravet syndrome. Ann. Neurol. 87, 339–346 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Wang C et al. (2024) Impaired cerebellar plasticity hypersensitizes sensory reflexes in SCN2A-associated ASD. Neuron 112, 1444–1455.e5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Tamura S et al. (2025) CRISPR activation for SCN2A-related neurodevelopmental disorders. Nature 646, 983–991. 10.1038/s41586-025-09522-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Dowling JJ et al. (2024) AAV gene therapy for hereditary spastic paraplegia type 50: a phase 1 trial in a single patient. Nat. Med. 30, 1882–1887 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Huang Q et al. (2024) An AAV capsid reprogrammed to bind human transferrin receptor mediates brain-wide gene delivery. Science 384, 1220–1227 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Zhu D et al. (2021) Adeno-associated virus vector for central nervous system gene therapy. Trends Mol. Med. 27, 524–537 [DOI] [PubMed] [Google Scholar]
- 96.Wu J et al. (2021) Single and dual vector gene therapy with AAV9-PHP.B rescues hearing in Tmc1mutant mice. Mol. Ther. 29, 973–988 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Riedmayr LM et al. (2023) mRNA trans-splicing dual AAV vectors for (epi)genome editing and gene therapy. Nat. Commun. 14, 6578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Tornabene P et al. (2019) Intein-mediated protein trans-splicing expands adeno-associated virus transfer capacity in the retina. Sci. Transl. Med. 11, eaav4523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Davis JR et al. (2024) Efficient prime editing in mouse brain, liver and heart with dual AAVs. Nat. Biotechnol. 42, 253–264 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Giehrl-Schwab J et al. (2022) Parkinson’s disease motor symptoms rescue by CRISPRa-reprogramming astrocytes into GABAergic neurons. EMBO Mol. Med. 14, e14797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Shubina-Oleinik O et al. (2021) Dual-vector gene therapy restores cochlear amplification and auditory sensitivity in a mouse model of DFNB16 hearing loss. Sci. Adv. 7, eabi7629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Mich JK et al. (2025) Interneuron-specific dual-AAV SCN1A gene replacement corrects epileptic phenotypes in mouse models of Dravet syndrome. Sci. Transl. Med. 17, eadn5603. [DOI] [PubMed] [Google Scholar]
- 103.Lim CKW et al. (2020) Treatment of a mouse model of ALS by in vivo base editing. Mol. Ther. J. Am. Soc. Gene Ther. 28, 1177–1189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Reever CM et al. (2025) Base editing rescue of seizures and SUDEP in SCN8A developmental epileptic encephalopathy. bioRxiv Published online April 19, 2025. 10.1101/2025.04.09.647983 [DOI] [Google Scholar]
- 105.Conecker G et al. (2024) Global modified Delphi consensus on diagnosis, phenotypes, and treatment of SCN8A-related epilepsy and/or neurodevelopmental disorders. Epilepsia 65, 2322–2338 [DOI] [PubMed] [Google Scholar]
- 106.Dopeso-Reyes IG et al. (2021) Editorial: tropism, mapping, modeling, or therapy using canine adenovirus type 2 (CAV-2) vectors in the CNS. Front. Mol. Neurosci. 14, 636476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Fadila S et al. (2023) Viral vector-mediated expression of NaV1.1, after seizure onset, reduces epilepsy in mice with Dravet syndrome. J. Clin. Invest. 133, e159316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Frangoul H et al. (2021) CRISPR-Cas9 gene editing for sickle cell disease and β-thalassemia. N. Engl. J. Med. 384, 252–260 [DOI] [PubMed] [Google Scholar]
- 109.Yu W et al. (2024) Allele-specific editing of a dominant SCN8A epilepsy variant protects against seizures and lethality in a murine model. Ann. Neurol. 96, 958–969 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Gaudelli NM et al. (2017) Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage. Nature 551, 464–471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Anzalone AV et al. (2019) Search-and-replace genome editing without double-strand breaks or donor DNA. Nature 576, 149–157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Chen PJ et al. (2021) Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell 184, 5635–5652 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Wettschurack K et al. (2024) Near 100% genome editing efficiency with a one-step all RNA prime editing system in a human reporter iPSC line. bioRxiv Published online December 21, 2024. 10.1101/2024.12.20.629762 [DOI] [Google Scholar]
- 114.Guo R et al. (2024) Engineered IscB-ωRNA system with improved base editing efficiency for disease correction via single AAV delivery in mice. Cell Rep. 43, 114973. [DOI] [PubMed] [Google Scholar]
- 115.Sousa AA et al. (2025) In vivo prime editing rescues alternating hemiplegia of childhood in mice. Cell 188, 4275–4294 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.An M et al. (2024) Engineered virus-like particles for transient delivery of prime editor ribonucleoprotein complexes in vivo. Nat. Biotechnol. 42, 1526–1537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Banskota S et al. (2022) Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins. Cell 185, 250–265 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Liang X et al. (2025) Engineering of extracellular vesicles for efficient intracellular delivery of multimodal therapeutics including genome editors. Nat. Commun. 16, 4028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Geilenkeuser J et al. (2025) Engineered nucleocytosolic vehicles for loading of programmable editors. Cell 188, 2637–2655 [DOI] [PubMed] [Google Scholar]
- 120.Herrera-Barrera M et al. (2023) Lipid nanoparticle-enabled intracellular delivery of prime editors. AAPS J. 25, 65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Huang H et al. (2012) RNA editing of the IQ domain in Cav1.3 channels modulates their Ca2+-dependent Inactivation. Neuron 73, 304–316 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Ferrick-Kiddie EA et al. (2017) Mutations underlying episodic ataxia type-1 antagonize Kv1.1 RNA editing. Sci. Rep. 7, 41095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Cox DBT et al. (2017) RNA editing with CRISPR-Cas13. Science 358, 1019–1027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Abudayyeh OO et al. (2019) A cytosine deaminase for programmable single-base RNA editing. Science 365, 382–386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Lauffer MC et al. (2024) Possibilities and limitations of antisense oligonucleotide therapies for the treatment of monogenic disorders. Commun. Med. 4, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Conroy F et al. (2022) Chemical engineering of therapeutic siRNAs for allele-specific gene silencing in Huntington’s disease models. Nat. Commun. 13, 5802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Wagner M et al. (2025) Antisense oligonucleotide treatment in a preterm infant with early-onset SCN2A developmental and epileptic encephalopathy. Nat. Med. 31, 2174–2178 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Neil CR et al. (2025) Poison exons: tuning RNA splicing for targeted gene regulation. Trends Pharmacol. Sci. 46, 264–278 [DOI] [PubMed] [Google Scholar]
- 129.Seo JH et al. (2023) DNA double-strand break-free CRISPR interference delays Huntington’s disease progression in mice. Commun. Biol. 6, 466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Wang J et al. (2022) AAV-delivered suppressor tRNA overcomes a nonsense mutation in mice. Nature 604, 343–348 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Dhindsa RS et al. (2021) A transcriptome-based drug discovery paradigm for neurodevelopmental disorders. Ann. Neurol. 89, 199–211 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Schust LF et al. (2024) A patient organization perspective: charting the course to a cure for SCN2A-related disorders. Ther. Adv. Rare Dis. 5, 26330040241292645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Conecker G et al. (2025) Patient leadership and partnerships accelerate therapies for SCN8A and other developmental and epileptic encephalopathies. Ther. Adv. Rare Dis. 6, 26330040241252449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Kim-McManus O et al. (2024) A framework for N-of-1 trials of individualized gene-targeted therapies for genetic diseases. Nat. Commun. 15, 9802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Pan X et al. (2019) Molecular basis for pore blockade of human Na+ channel Nav1.2 by the μ-conotoxin KIIIA. Science 363, 1309–1313 [DOI] [PubMed] [Google Scholar]
