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. 2021 Jan 7;17(1):e1009195. doi: 10.1371/journal.pgen.1009195

Aberrant regulation of a poison exon caused by a non-coding variant in a mouse model of Scn1a-associated epileptic encephalopathy

Yuliya Voskobiynyk 1,#, Gopal Battu 2,#, Stephanie A Felker 2,3, J Nicholas Cochran 2, Megan P Newton 4, Laura J Lambert 4, Robert A Kesterson 4, Richard M Myers 2, Gregory M Cooper 2, Erik D Roberson 1,*, Gregory S Barsh 2,*
Editor: Joseph Shieh5
PMCID: PMC7790302  PMID: 33411788

Abstract

Dravet syndrome (DS) is a developmental and epileptic encephalopathy that results from mutations in the Nav1.1 sodium channel encoded by SCN1A. Most known DS-causing mutations are in coding regions of SCN1A, but we recently identified several disease-associated SCN1A mutations in intron 20 that are within or near to a cryptic and evolutionarily conserved “poison” exon, 20N, whose inclusion is predicted to lead to transcript degradation. However, it is not clear how these intron 20 variants alter SCN1A expression or DS pathophysiology in an organismal context, nor is it clear how exon 20N is regulated in a tissue-specific and developmental context. We address those questions here by generating an animal model of our index case, NM_006920.4(SCN1A):c.3969+2451G>C, using gene editing to create the orthologous mutation in laboratory mice. Scn1a heterozygous knock-in (+/KI) mice exhibited an ~50% reduction in brain Scn1a mRNA and Nav1.1 protein levels, together with characteristics observed in other DS mouse models, including premature mortality, seizures, and hyperactivity. In brain tissue from adult Scn1a +/+ animals, quantitative RT-PCR assays indicated that ~1% of Scn1a mRNA included exon 20N, while brain tissue from Scn1a +/KI mice exhibited an ~5-fold increase in the extent of exon 20N inclusion. We investigated the extent of exon 20N inclusion in brain during normal fetal development in RNA-seq data and discovered that levels of inclusion were ~70% at E14.5, declining progressively to ~10% postnatally. A similar pattern exists for the homologous sodium channel Nav1.6, encoded by Scn8a. For both genes, there is an inverse relationship between the level of functional transcript and the extent of poison exon inclusion. Taken together, our findings suggest that poison exon usage by Scn1a and Scn8a is a strategy to regulate channel expression during normal brain development, and that mutations recapitulating a fetal-like pattern of splicing cause reduced channel expression and epileptic encephalopathy.

Author summary

Dravet syndrome (DS) is a neurological disorder affecting approximately 1:15,700 Americans that causes generalized epilepsy and associated complications. While most patients have a mutation in the SCN1A gene that encodes the Nav1.1 voltage-gated sodium channel, about 20% do not have a mutation identified by exome or targeted sequencing. Recently, we identified variants in intron 20, a noncoding region of SCN1A, in some DS patients. We hypothesized that these variants alter SCN1A transcript processing, decrease Nav1.1 function, and lead to DS pathophysiology via inclusion of exon 20N, a “poison” exon that leads to a premature stop codon. In this study, we generated a knock-in mouse model, Scn1a+/KI, of one of these variants, which resides in a genomic region that is extremely conserved across vertebrate species. We found that Scn1a+/KI mice have reduced levels of Scn1a transcript and Nav1.1 protein and develop DS-related phenotypes. We find that transcripts from brains of Scn1a+/KI mice show elevated rates of Scn1a exon 20N inclusion. We also explored the relationship between exon 20N inclusion and Scn1a expression during development, and found that, during brain development when Scn1a expression is low, exon 20N inclusion is high; postnatally, as Scn1a expression increases, there is a corresponding decrease in exon 20N usage. Expression of another voltage-gated sodium channel transcript, Scn8a (Nav1.6), was similarly regulated. Together, these data demonstrate that poison exon inclusion is a conserved mechanism to control sodium channel expression in the brain, and that an intronic mutation that disrupts the normal developmental regulation of poison exon inclusion leads to reduced Nav1.1 and generalized epilepsy.

Introduction

Dravet syndrome (DS) is a developmental and epileptic encephalopathy (DEE) characterized by intractable seizures, developmental delay, speech impairment, ataxia, hypotonia, sleep disturbances, and other health problems [1]. In the U.S., DS incidence is 1 per 15,700 [2], and 73% of patients die before the age of 10 years [3].

The most frequent cause of DS are loss-of-function mutations of SCN1A, which encodes the type I voltage-gated sodium channel (Nav1.1) alpha subunit, part of a larger family of nine sodium channel proteins (Nav1.1 –Nav1.9) that control neuronal excitability [48]. Pathogenic SCN1A mutations are generally heterozygous and often occur de novo in DS. DS-associated SCN1A mutations lead to a loss of Nav1.1, which is predominantly expressed in inhibitory GABAergic interneurons, so loss of function leads to network disinhibition [59]. Importantly, the molecular mechanisms for Nav1.1 loss of function differ between various SCN1A mutations; many cause nonsense-mediated RNA decay, while other missense mutations affect Nav1.1 stability or function [4].

Only 80% of DS patients have pathogenic SCN1A variants detectable within coding exons [10], suggesting that variants in noncoding regions near SCN1A may contribute to disease in some patients. A genomic analysis of 640 DEE patients found that five patients harbored rare variants predicted to be deleterious within a highly conserved region deep within SCN1A intron 20 [11]. A 64-bp segment within this region can be alternatively spliced and included as an exon termed 20N [11]. Exon 20N is known as a poison exon because it is predicted to lead to a truncated SCN1A isoform due to a stop codon that arises with the frameshift caused by the 64-bp inclusion [12]. Several of the intron 20 variants identified in DEE patients increased inclusion of poison exon 20N in splice reporter assays in non-neuronal cells [11]. As a result, we hypothesized that variant-induced aberrant inclusion of SCN1A poison exon 20N is a pathophysiologic mechanism for Nav1.1 loss of function in DEE patients [11].

Our prior work on non-coding variation and poison exon inclusion in DS was carried out in non-neuronal cultured cells with artificial constructs and did not determine if any of the non-coding variants could recapitulate the phenotype of DS in an organismal context. Here, we report the construction and analysis of a mouse model for a SCN1A variant, NM_006920.4(SCN1A):c.3969+2451G>C (hereafter, c.3969+2451G>C), that we identified in our index patient and that lies within the alternatively spliced poison exon, 20N [11]. Our results provide rigorous evidence of causality for a non-coding variant, allow direct measurement of poison exon usage in vivo, and give new insight into the normal function of poison exons for sodium channel genes and the consequent relationship to human genetic disease.

Results

Evolutionary conservation in intronic regions harboring a DS-causing variant

The index patient with an SCN1A c.3969+2451G>C variant was an 11-year old male originally diagnosed with febrile seizures plus due to febrile generalized tonic clonic seizures at 23 months and afebrile GTCS at 26 months. Development perinatally and prior to seizure onset was reported as normal, as was a head CT at 17 months and an MRI at 2 years of age. Mild speech delay resolved by 11 years of age.

We first examined evolutionary conservation in the region surrounding the variant as a prerequisite to identifying the orthologous variant in mice. Human intron 20 is ~8 kb, within which there exist three highly conserved segments of several hundred nucleotides in length (Fig 1A). Exon 20N and the surrounding region is highly conserved as indicated by quantitative assessment with genomic evolutionary rate profiling (GERP) (Fig 1B) and alignment across 77 vertebrates (S1 Fig.). The G>C substitution in our index patient lies within exon 20N and is perfectly conserved along with neighboring nucleotides in the mouse. SCN1A transcripts that contain this exon 20N are “poisoned” due to a frameshift and consequent premature termination codon in exon 21 (Fig 1C and 1D); the same is true for mouse Scn1a.

Fig 1. The non-coding Dravet Syndrome–causing variant, NM_006920.4(SCN1A):c.3969+2451G>C, is present in a highly conserved region.

Fig 1

(A) The alternate exon 20N (shaded rectangle) is highly conserved, with GERP scores that are comparable to canonical exons in SCN1A. (B) Multiple alignment in the 64bp SCN1A 20N region of human, mouse, opossum, alligator, and duck, modified from the Multiz Alignment of 100 Vertebrates track from the UCSC Genome Browser (Fig 1). The red box indicates the position of the variant NM_006920.4(SCN1A):c.3969+2451G>C in our index patient, orthologous to NC_000068.7:g.66293870C>G (GRCm38.p6) in the mouse genome. The red line indicates the position of the guide RNA used for CRISPR/Cas9 gene editing. (C) Alternative splicing of intron 20 in SCN1A. Inclusion of exon 20N (bottom) results in a frame shift and hence a premature termination codon (PTC) in exon 21. The c.3969+2451G>C variant also results in a Gly-Ala (red) substitution within exon 20N. (D) Exon 20N would be in the intracellular loop connecting the fourth and fifth transmembrane voltage sensing regions of the third SCN1A homologous domain (D3) but brings a premature termination codon (PTC) in frame resulting in nonsense-mediated RNA decay.

Scn1a mRNA and protein levels are reduced in the brains of Scn1a +/KI mice

We used CRISPR/Cas9 gene editing [13] to generate the mouse mutation NC_000068.7:g.66293870C>G (GRCm38.p6), orthologous to the de novo mutation in our index patient, c.3969+2451G>C. (In both humans and mice, the gene lies on the minus strand; references to the human G>C de novo variant are based on the transcript, NC_000068.7, as in Fig 1, while references to the mouse gene-edited C>G variant are based on genomic coordinates). A guide RNA located upstream of the variant position (Fig 1B) was used together with a template for homology-directed repair, and the ribonucleoprotein complex was microinjected into C67BL/6J zygotes as described in Materials and methods. Founder animals carrying the C>G variant were backcrossed to C57BL/6J mice, and all genotypes were determined by Sanger sequencing. Animals carrying one allele of the edited variant are termed Scn1a +/KI and compared to non-mutant Scn1a +/+ littermates.

In brain tissue from postnatal Scn1a +/KI mice, qRT-PCR for an amplicon between exons 19 and 20 (Materials and methods) indicated an ~50% reduction in levels of Scn1a mRNA (Fig 2B). Analysis of RNA-seq data from +/+ and +/KI brains yielded a similar result (Fig 2C). We assessed Nav1.1 protein levels with antisera targeting C-terminal or N-terminal epitopes; in both cases, levels of full-length protein (260 kDa) was reduced by ~50% (Fig 2D–2I), and there was no evidence of a truncated protein (157 kDa) that would otherwise correspond to the protein predicted from a transcript that contains exon 20N (S2A Fig). Taken together, these results indicate that the variant we introduced into Scn1a leads to the absence of Nav1.1, likely due to nonsense-mediated decay of a transcript that contains exon 20N and a downstream premature termination codon.

Fig 2. Scn1a mRNA and Nav1.1 protein levels are reduced in Scn1a+/KI mice.

Fig 2

(A) Sanger sequence confirmation of Scn1a+/KI mouse with the gene-edited intron 20 C>G variant. (B) Brain mRNA levels in Scn1a+/+ and Scn1a+/KI mice using qRT-PCR. Relative expression of Scn1a vs. the control gene Tbp (n = 4−4, 11.64 ± 2.90 months, Student's unpaired t-test, p = 0.0251). Scn1a+/KI mice have ~50% less Scn1a mRNA than Scn1a +/+ mice. (C) RNA-seq counts (normalized to sequencing library size by DEseq2) of Scn1a mRNA in whole brains of Scn1a+/+ and Scn1a+/KI mice (n = 4−4, 11.64 ± 2.90 months, Student's unpaired t-test, p = 0.0541). Scn1a+/KI mice have about 42% less Scn1a mRNA than Scn1a+/+ mice. (D) Levels of Nav1.1, the sodium channel encoded by Scn1a, are reduced in frontal cortex of Scn1a+/KI vs. Scn1a+/+ mice using rabbit anti-Nav1.1 antibody from Alomone Labs, which recognizes an N-terminal epitope. GAPDH served as a loading control. (E) Quantification of Nav1.1 levels from the blot in D (n = 2–3, 17.7 ± 0.96 months, Student's unpaired t-test, p = 0.0142). (F) Quantification GAPDH protein levels from the blot in D (n = 2–3, 17.7 ± 0.96 months, Student's unpaired t-test, p = 0.4459). (G) Nav1.1 levels using anti-Nav1.1 Antibodies Incorporated antibody, which recognizes a C-terminal epitope. Actin served as a loading control. (H) Quantification of Nav1.1 protein levels from the blot in G (n = 2–3, 17.7 ± 0.96 months, Student’s unpaired t-test, p = 0.0059). (I) Quantification of actin protein levels from the blot in G (n = 2–3, 17.7 ± 0.96 months, Student’s unpaired t-test, p = 0.9859, respectively). *p < 0.05 and **p < 0.01.

Scn1a +/KI mice exhibit Dravet syndrome–like phenotypes

In crosses between Scn1a +/+ and +/KI mice, litter sizes appeared normal, but spontaneous seizures were occasionally observed (video in Supplementary File 1), and there was a significant reduction in the expected 50% proportion of +/KI mice after weaning from +/+ x +/KI matings (20 +/KI vs. 53 +/+; p = 0.004). Surviving Scn1a +/KI mice exhibited ~40% mortality at 3 months and ~55% mortality by 18 months (Fig 3A). These observations are consistent with previous DS mouse models on the C57BL/6J background or a mixed C57BL/6 and 129 background, in which the onset of seizures in heterozygotes begins around P21, with ~50% mortality by 6 months [7, 8].

Fig 3. Scn1a+/KI mice exhibit premature mortality and a hyperactivity phenotype.

Fig 3

(A) Kaplan-Meier analysis showed severe premature mortality in Scn1a+/KI mice (n = 22–93, Log-rank (Mantel-Cox) test, p < 0.0001). This analysis started at weaning, when genotyping was performed, and so does not include additional mortality observed in litters prior to weaning. (B) Distance travelled in the open field as a function of time is increased in Scn1a+/KI mice (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.0150, main effects of time p < 0.0001 and genotype p = 0.0003). (C) Total distance travelled during 10 minutes in the open field is higher in Scn1a+/KI mice (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.0003). (D) Vertical jumps in the open field apparatus are higher in Scn1a+/KI mice (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.0305). (F) No difference between genotypes were found in stereotypic counts in the open field (n = 6–8, 13.81 ± 0.47 months, Student’s t-test, p = 0.3444). (E) No difference between genotypes in percent time spent in the center of the open field (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.6598). All data are expressed as mean +/–SEM; *p < 0.05, ***p < 0.001 and ****p < 0.0001.

We tested Scn1a +/KI mice that survived to adulthood in a battery of behavior assays [1417] to investigate if they developed behavioral deficits reported in other DS mouse models [18, 19]. Consistent with phenotypes of other DS models [14, 20], Scn1a +/KI mice exhibited hyperactivity in the open field (Fig 3B–3F), including increased distance travelled (Fig 3B and 3C) and jumps (Fig 3D). Notably, percent time in the center of the open field and stereotypic counts were similar in Scn1a +/KI mice compared to Scn1a +/+ mice (Fig 3E and 3F), indicating no apparent evidence of increased anxiety. In addition, testing in an elevated plus maze, another behavioral assay for anxiety-related phenotypes, [16, 17, 21], revealed no differences in the time spent in open or closed arms, nor total entries into the open and closed arms of the maze (S3A–S3C Fig). In a Y maze assay [16, 17, 22], no differences in spontaneous alternations were observed between Scn1a +/+ and +/KI mice (S3D and S3E Fig), indicating no apparent deficits in short-term memory. Lastly, Scn1a +/KI mice did not show any behavioral deficits in the tube test of social dominance [23] (S4A Fig.) or three-chamber sociability test [24] (S4B–S4D Fig.). Overall, our results on DS-associated behavioral phenotypes in Scn1a +/KI are similar to what has been reported previously in other DS mouse models. Taken together with the molecular characterization (Fig 2), these results demonstrate that the mouse models the molecular pathophysiology of a conserved non-coding mutation in exon 20N and provides compelling evidence of its pathogenicity in DS.

Retention of exon 20N in Scn1a +/KI mice

We designed several qPCR primer sets to detect mRNA transcripts either containing or excluding exon 20N (Fig 4A), after reverse transcription with random primers (Materials and methods). Amplicon 1 spans from exon 20 to exon 21 and generates a 56-bp product without exon 20N or a 120-bp product when exon 20N is included. In brain RNA from animals aged 1.9 mo– 19 months, levels of the larger transcript reflecting exon 20N inclusion were undetectable in Scn1a +/+ mice, but easily detectable in Scn1a +/KI mice (Fig 4B and 4C). A second set of primers spans the introns between exons 20 and 20N, and between exons 20N and 21, allowing measurement of exon 20N-containing transcripts as a 96-bp product, amplicon 2, that can be directly compared to a 111-bp product, amplicon 3, that spans exons 19 and 20 (Fig 4A).

Fig 4. Increased inclusion of Exon 20N in Scn1a+/KI brains.

Fig 4

(A) The positions of qPCR amplicons to quantify Scn1a mRNA transcripts. Amplicon 1 detects two isoforms (56bp and 120bp) of the Scn1a transcript, with the longer isoform reflecting exon 20N inclusion. Amplicon 2 quantifies only the Exon 20N-containing transcript. Amplicon 3 quantifies the total Scn1a mRNA levels including the transcript with Exon 20N. (B) Bioanalyzer evaluation of RNA from Scn1a+/+ mouse brain amplified with amplicon 1, showing a single Scn1a peak at 56 bp. The peaks at 15-bp and 1500-bp are size markers recommended and supplied by the manufacturer. (C) Bioanalyzer evaluation of RNA from Scn1a+/KI mouse brain amplified with amplicon 1, showing a second peak at 120 bp, representing inclusion of exon 20N. The 120-bp amplicon containing the 64-bp exon 20N is denoted with a red asterisk. (D) Scn1a+/KI mice had increased levels of the exon 20N–containing Scn1a transcript, measured using amplicon 2. The levels of exon 20N transcript (amplicon 2) expressed as a percentage of the total Scn1a levels (amplicon 3) using the formula (amplicon 2 levels)/(amplicon 3 levels)*100. (n = 4, 11.64 ± 2.90 months, Student's unpaired t-test, p = 2e-4). **p < 0.01.

Expressed as a percentage of amplicon 2/amplicon 3, exon 20N is included in 0.97% of Scn1a transcripts in +/+ mice, and in 4.8% of Scn1a transcripts in +/KI mice (Fig 4D). Similar results were obtained after reverse transcription with oligodT. Assuming an additive model in which the presence of the KI allele does not influence activity of the + allele, and vice versa, we conclude that gene-edited variant leads to a ~9 to 10-fold increase in stable Scn1a transcripts that contain exon 20N. However, it is important to note that the levels of normal Scn1a mRNA and protein are reduced ~50% in +/KI compared to +/+ mice (Fig 2). Assuming that the KI variant does not affect transcriptional initiation of Scn1a or transcriptome composition (below), this implies that nearly all transcription from the KI allele contains exon 20N, most of which is degraded and does not give rise to a functional protein.

As an alternative approach to evaluating usage of exon 20N, we constructed and analyzed RNA-seq libraries from brain tissue of four Scn1a +/KI mice and four Scn1a+/+ littermates. The number of reads that aligned to all Scn1a exons was 387.83 ± 56.49 and 223.24 ± 27.58 in +/+ and +/KI mice, respectively (Fig 2C), but the number of reads that aligned to exon 20N were (0,0,1,0) and (0,0,0,0) in +/+ and +/KI mice, indicating that most transcripts that contain exon 20N are degraded.

Potential function of poison exons in Scn1a and Scn8a

Aberrant regulation of poison exons as a pathogenetic mechanism, and conservation of that mechanism in humans and mice, raises the more general question of how and why Scn1a poison exons are used normally during development and differentiation. Voltage-gated sodium channels (Nav1.1–Nav1.9) have distinct developmental and regional patterns of expression [2528]. Nav1.1, the alpha subunit encoded by Scn1a, rises after a lag phase to adult levels during the second to fourth postnatal weeks in both mouse and rat brains, and is expressed primarily in a subset of GABAergic interneurons [2527]. The homologous protein Nav1.6, encoded by Scn8a, has a similar pattern of developmental expression to Nav1.1, but is expressed primarily in glutamatergic neurons. Previous work from Meisler and colleagues on Scn8a has identified a poison exon, 18N, whose expression is highest in fetal brain [29]. Inclusion of exon 18N in Scn8a is regulated by several RNA binding proteins [30, 31], and for which a “fail-safe” mechanism has been proposed to prevent the synthesis of active protein in cells or tissues where it would be deleterious. We explored that idea for Scn1a by first measuring expression of alternative isoforms in different tissues of +/+ and +/KI mice using isoform-specific amplicons as shown in Fig 4A. In heart, kidney, liver, and lung of +/+ and +/KI mice, Scn1a, with or without exon 20N, was expressed at very low levels as detected by qRT-PCR (Table 1).

Table 1. Scn1a expression in different tissuesa.

Tissue Genotype Scn1a Ct Tbp Ct △Ct 20N Ct
Lung Scn1a +/+ 35.6 22.7 12.9 UDb
Scn1a +/KI 33 22.8 10.2 36.8
Liver Scn1a +/+ 36.9 23 13.9 UDb
Scn1a +/KI UDb 22.4 - UDb
Kidney Scn1a +/+ 30.5 21.5 9 35.8
Scn1a +/KI 31.1 21.8 9.3 35.2
Heart Scn1a +/+ 36.1 25.4 10.7 UDb
Scn1a +/KI 34.6 24.9 9.7 38
Brain Scn1a +/+ 21.6 23.7 -2.1 28.3
Scn1a +/KI 22.5 23.8 -1.3 27

a Levels of Scn1a mRNA and exon 20N as measured by quantitative RT-PCR-based Ct values using amplicons 3 and 2, respectively (Fig 4A), compared to the housekeeping control gene Tbp. UD = Undetectable.

b Undetectable

We did not have access to fetal tissues from Scn1a +/KI mice, but we analyzed usage of Scn1a exon 20N in non-mutant mice by analyzing a previously generated RNA-seq dataset of mouse cortex at multiple developmental timepoints [32]. Expressed as a proportion of reads that align to exon 20N compared to all other exons, ~70% of Scn1a transcripts include 20N at E14.5, gradually decreasing to <10% by P30, and remaining minimal throughout adult life (Fig 5A). This pattern is inversely correlated with the overall level of Scn1a mRNA, inferred from the total number of reads (Fig 5A). Thus, as exon 20N usage decreased, more Scn1a mRNA was produced, consistent with the poison exon inclusion being used to reduce Scn1a levels during development. We used the same dataset to evaluate usage of poison exon 18N in Scn8a and observed a very similar pattern (Fig 5B). This confirms the results of Meisler and colleagues [29], and suggests that poison exons for both sodium channel genes serve a similar function.

Fig 5. Inverse relationship between poison exon usage and expression of multiple sodium channels during mouse brain development.

Fig 5

(A) Scn1a transcripts including exon 20N are highly expressed in the developing mouse brain and decrease dramatically after birth (aqua bars), with a corresponding developmental increase in Scn1a expression (blue bars). (B) The poison exon in Scn8a previously described by Plummer et al.[29]. Scn1a exon 20N and Scn8a exon 18N are 37.5% identical (57% in human), and the amino acid sequences shown at exon boundaries are identical. The amino acid sequences shown are fully identical between mouse and human for both genes. (C) Scn8a transcripts including exon 18N are highly expressed in the developing mouse brain and decrease dramatically after birth (aqua bars), with a corresponding developmental increase in Scn8a expression (blue bars).

Discussion

Here, we generated a knock-in mouse model of an intronic variant, previously identified as a de novo mutation in a patient with DS, to explore its effects on Scn1a expression and function in vivo. Introduction of this variant led to a reduction in brain Scn1a mRNA and Nav1.1 protein levels, resulting in expression of DS-related phenotypes (Figs 23, Supplementary File 1). Inclusion of poison exon 20N in adult brain from Scn1a +/+ mice was ~1% and increased ~ fivefold in +/KI mice. Together with additional analyses and earlier work [29], our results suggest that poison exons in at least two neuronal sodium channels serve an important function in developmental regulation, suppressing expression of functional sodium channels until later stages of brain development. The mechanism is evolutionarily conserved and represents a previously unrecognized potential source of Mendelian disease.

Mutations in the SCN1A gene are the most common cause of DS, accounting for 80% of patients. While 20% of patients still do not have a definitive molecular diagnosis after exome sequencing, our previous results identified a number of variants in and around exon 20N in multiple patients with DS/DEE [11]. Our results provide compelling evidence for pathogenicity of the variant reported here and, by extension, additional variants that may enhance inclusion of exon 20N. Our in vivo finding that poison exon 20N inclusion leads to Scn1a loss of function explains how the phenotype of Scn1a +/KI mice mimics that of other DS models, since reduced Scn1a expression is the common feature underlying DS. Scn1a loss of function results in decreased expression of Nav1.1, a voltage gated sodium channel responsible for promoting electrical excitability of neurons [33]. Loss-of-function Scn1a mutations would decrease neuronal activity. Scn1a is predominantly expressed in inhibitory GABAergic interneurons [7], so DS mutations decrease activity of the inhibitory circuitry and resulting disinhibition contributes to seizure generation [33].

In the model described here as well as other DS models on a C57BL/6J background [6, 7], seizure onset in heterozygous animals begins in the 3rd and 4th postnatal week, in and around the time the animals are weaned. This is consistent with both the normal onset of rodent Nav1.1 expression in the second postnatal week as determined by mRNA or protein abundance [26, 34], and with our analyses of the time course of normal exon 20N inclusion, which reaches a nadir in the second postnatal week of life, and is inversely related to the abundance of normal Scn1a mRNA.

In humans, seizure onset in Dravet syndrome can be as early as 4–6 months of age [1, 35, 36], and the time course of transcriptional events is analogous to that in the mouse, with SCN1A mRNA expression accumulating during and after infancy, and exon 20N inclusion declining from 60–80% during embryonic development to 5–10% by 6 months of age [37]. Similarly, the switch from inclusion to exclusion of poison exon 18N takes place around the second postnatal week in rodent Scn8a and 9–12 months of age in human SCN8A [31]. Taken together with previous work on cell- and cell region-type specificity of Nav1.1 and Nav1.6 expression [48], these observations suggest that poison exons in voltage-gated sodium channels represent a normal and precisely regulated mechanism to ensure that different channels are expressed at the correct time and place in the developing nervous system, and provide a mechanistic explanation for the time at which clinical features due to deficiency for SCN1A or SCN8A first become apparent.

The developmental mechanisms that regulate exon 20N inclusion in Scn1a are likely similar to what has been reported previously for exon 18N in Scn8a, in which ubiquitously expressed splicing factors such as SRFS1 and SRFS2 as well as cell-specific factors such as RbFox-1 bind to specific sites in the pre-mRNA alternative exon and/or flanking regions to modulate splicing [31, 38]. In the case of Scn8a, inclusion of poison exon 18N has been suggested as a mechanism to prevent expression of a functional Nav1.6 channel in non-neuronal cells [31]. However, we found no evidence that poison exon 20N serves an analogous function for Scn1a, since in the +/KI mice, postnatal expression of 20N is only detectable in the brain. Thus, the biological rationale for regulation of exon 20N in Scn1a may be to regulate developmental and cell type-specific expression within neuronal tissues, with more conventional mechanisms, e.g. chromatin accessibility, modulating transcriptional initiation, used to control neuronal vs. non-neuronal expression. It is interesting to note that mutations in Scn1a have been proposed to contribute to cardiac arrhythmias and sudden unexpected death in epilepsy (SUDEP) based on studies in mice, but the relative roles played by direct and indirect mechanisms are not yet clear [39, 40].

A better understanding of the molecular pathogenesis in DS is critical to developing disease-modifying therapies. With regard to the variant we studied and its effects on poison exon inclusion, there is a growing list of therapeutic strategies that target mechanisms related to alternative splicing. An RNA-based therapeutic triggering poison exon inclusion in DHX9, a gene involved in Ewing sarcoma, has been exploited to enhance the efficacy of chemotherapy in cancer patients [41]. Additionally, in Duchenne muscular dystrophy and spinal muscular atrophy (SMA), oligonucleotides that promote exon skipping and alternative exon inclusion, respectively, are becoming increasingly applied in clinical settings [42, 43]. The Scn1a +/KI mouse model we have developed based on patients with non-coding variants may provide support to assess poison exon 20N targeting therapeutics postnatally and other methods that may lead to an increased expression of Nav1.1.

In summary, our data indicate that poison exon inclusion is a conserved mechanism to suppress gene expression that is induced by an intronic mutation in SCN1A leading to DS. These findings deepen our understanding of the molecular genetic mechanisms leading to DS and provide a new mouse model for studying the effects of a novel intronic mutation. Further, confirmation of the relevance of poison exon inclusion to a Mendelian disorder, coupled to the observation that multiple genes are regulated by this mechanism during development, suggests that variation affecting poison exons may be more broadly relevant to human disease.

Materials and methods

Ethics statement

All experimental protocols were approved by the Institutional Animal Care and Use Committee of the University of Alabama at Birmingham.

Conservation assessment

GERP analysis

The pre-mRNA diagram constructed using the R package ggbio [44, 45] with coordinates obtained from the UCSC Genome Table Browser [46]. Conservation was analyzed across the region using GERP (Genomic Evolutionary Rate Profiling) conservation scores for each position [47]. Positive GERP scores reflect a high level of conservation, while negative GERP scores reflect a neutral rate of substitution at the region.

Cross-species conservation analysis

Multiple sequence alignments were retrieved from the Vertebrate Multiz Alignment & Conservation [48] (100 Species) track of the UCSC Genome Table Browser [46].

Animals

Mice were on an isogenic C57BL/6J background. Mice were housed in a pathogen-free barrier facility on a 12-hour light/dark cycle with ad libitum access to water and food (NIH-31 Open Formula Diet, #7917, Harlan). Mice were genotyped by PCR from tail tissue collected at weaning and at death. Both male and female mice were used in experiments. Littermate siblings were used as controls in each experiment. Experiments were completed by blinded investigators. For postmortem analyses, mice were anesthetized by Fatal-plus (Vortech) and perfused with 0.9% saline. Tissues were then removed, weighed, and dissected for processing as described below.

Targeted CRISPR Scn1a +/KI generation

The variant used in our study, NM_006920.6(SCN1A):c.3969+2451G>C was a de novo mutation with CADD and GERP scores of 16.51 and 5.43, respectively, present in proband 3 in Carvill et al., 2018 [11].

The CRISPR guide was generated using an online tool (http://crispr.mit.edu). A mouse carrying the NC_000068.7:g.66293870C>G (GRCm38.p6) mutation was generated at the University of Alabama at Birmingham (UAB) Transgenic & Genetically Engineered Models Core (TGEMs). The reagents used were from Integrated DNA Technologies (IDT), Inc., Coralville, Iowa: Alt-R S.p. Cas9 Nuclease 3NLS (Cat # 1074181), Alt-R CRISPR tracrRNA (Cat # 1072533), Alt-R CRISPR crRNA (sequence: 5'-TTGCTCCAACTTGGATGGGG-3'), single-stranded donor oligonucleotide (ssODN) (sequence: 5'-A*C*A*TAAGTCACAGTGCAAGGATTAAAGGTAGCAAAAGGGGTAATACAGTACCCATAATAAAGGGCTGAGGGGAGGAACCACCGCTCCACgCCATCCAAGTTGGAGCAAGATTATCCTATATAAAATAG*A*A*A-3').

The Cas9 protein-crRNA-tracrRNA RNPs were assembled according to the manufacturer supplied instructions. Injections, manipulations of C57BL/6 embryos and subsequent maintenance of mice lines were carried out at the TGEMs facility using protocols and methods compliant with the University of Alabama at Birmingham Institutional Animal Care and Use Committee and the Guide for the Care and Use of Laboratory Animals published by the National Institutes of Health.

About 150 blastocysts were injected. Of these 28 F0 pups survived up to weaning and were genotyped for the engineered mutation. Six of these carried the mutation. Three of these were chosen for further crosses as these had the strongest peak for the changed base and therefore likely to have less mosaicism.

Genotyping

DNA from weaned mouse tails was prepared using the UAB Transgenic & Genetically Engineered Models Core Facility protocol: tail clips were incubated at 65°C for 12 hours in lysis buffer (10mM Tris, 75mM NaCl, 25mM EDTA, 1% SDS, 0.5mg/ml Proteinase K) with intermittent shaking. DNA was extracted using Phenol:Chloroform, precipitated with ethanol, dried and resuspended in TE buffer. DNA was quantified using the Thermofisher Qubit dsDNA HS Assay Kit (Q32854).

PCR was performed on tail clip DNA using NEB OneTaq DNA polymerase (M0480L) or NEB Phusion DNA Polymerase (M0530L) on an Applied Biosystems GeneAmp PCR System 9700. The following forward and reverse oligos were used to amplify and Sanger sequence the 327-bp target region: 5'-TGTCCCTACTGTGGTGCAAT-3' and 5'-CCCAAGCTGGGAAAATCGTAA-3'. Sanger sequencing was performed at Molecular Cloning Laboratories (MCLAB).

Mouse tissue RNA extraction

RNA was extracted from frozen Scn1a +/+ and Scn1a +/KI mouse tissues using the Norgen Biotek Corp Animal Tissue RNA purification kit (Cat # 25700) using the manufacturer supplied protocol. Genomic DNA contamination was reduced/eliminated using Thermofisher TURBO DNA-free Kit (AM1907). RNA was quantified using Thermofisher Qubit RNA BR Assay Kit (Q10211).

cDNA synthesis

Random primed and oligo-dT primed cDNA was synthesized from total RNA using Thermofisher SuperScript IV First-Strand Synthesis System (18091050) using the manufacturer supplied protocol. The Random primed cDNA was used for qPCR analyses.

qRT-PCR

Quantitative RT-PCR was performed on an Applied Biosystems QuantStudio 6 Flex using Thermofisher PowerUp SYBR™ Green Master Mix (A25742). The oligos were ordered from IDT Technologies after using their PrimerQuest oligo design tool. qPCR oligos were designed to amplify 3 amplicons. Amplicon 1 was amplified using the oligos 5'-CCCTAAGAGCCTTATCACGATTT-3' and 5'-TAACAGGGCATTCACAACCA-3'. These were intron spaning oligos on exons 20 and 21 respectively. Amplicon 1 amplifies 2 products: a 56-bp product in trasncripts without exon 20N or a 120bp product in transcripts with exon 20N. Amplicon 2 was amplified using the oligos 5'-CGATTTGAAGGGATGAGGGATAA-3' and 5' GCATTCACAACCACCCATAATAAA-3'. These exon-exon junction oligos span exons 20-20N and exons 20N-21, respectively. Amplicon 2 produces a 96-bp product only in the presence of 20N containing transcripts. Amplicon 3 was amplified using the oligos 5'-CTGGTGTTGGCTAGACTTCTT-3' and 5'-GCTCTTAGTGTCCTTAGGGATTT-3'. These oligos are located on exons 19 and 20, respectively and amplify a 111-bp product.

Oligos for the housekeeping gene Tata box binding protein (Tbp) were ordered from IDT Technologies (Mm.PT.39a.22214839).

Selected amplified DNA from the qPCR was analyzed on the Agilent 2100 Bioanalyzer using the Agilent DNA 1000 Kit (5067–1504).

RNA-seq

RNA-seq libraries were prepared from whole brain total RNA from 4 Scn1a +/+ and 4 Scn1a +/KI mice using the Lexogen QuantSeq 3' mRNA-Seq Library Prep Kit FWD for Illumina. Briefly, first strand cDNA was synthesized from total RNA using oligo dT oligo containing an Illumina Read 2 linker. Then, the template RNA was digested and 2nd strand synthesized using random primer containing Illumina Read 1 linker and Unique Molecular Identifiers (UMIs). The libraries were then amplified using Illumina index containing oligos. Single-end sequencing was done on an Illumina NextSeq. The reads generated were deduplicated using the UMIs. The RNA-seq reads were trimmed using Trim Galore (https://github.com/FelixKrueger/TrimGalore). The trimmed reads were aligned to the mouse genome build GRCm38.p6 using STAR aligner [49]. HTseq was used to generate counts for genes from the alignments [50]. Scn1a and Gapdh counts were extracted from the normalized table of counts in the R package DESeq2 [51]. RNA-seq data is available at GEO GSE153461.

Western blot

Left frontal cortex was sub-dissected and was flash frozen on dry ice, and then homogenized in 100 ul of homogenization buffer containing 50 mM Tris, pH 7.5, 150 mM NaCl, 5 mM EDTA, 1% TritonX-100, 0.1% sodium deoxycholate, 1:100 Halt Protease Inhibitor (Halt, ThermoFisher, 78438) and Phosphatase inhibitor 3 (Sigma Aldrich, P0044). The homogenate was then centrifuged at 5,000 speed for 10 minutes. The supernatant (S1) was transferred into new Eppendorf tube after the centrifugation. The supernatant (S1) was centrifuged again at the same conditions and the resulting supernatant (S2) was used to determine protein concentration using Bradford protein assay (Thermo Scientific, Pierce, Coomassie Plus (Bradford) Protein Assay, PI23238). Protein samples were prepared with 4x LDS (Life Technologies, NuPAGE LDS Sample Buffer (4X), NP0007) and 10x reducing agent (ThermoFisher, 10X Bolt Sample Reducing Agent, B0009), heated for 10 min at 70°C, then 10 μg were loaded and separated on 4–12% NuPage acrylamide gels (ThermoFisher, NuPAGE 10% Bis-Tris Midi Protein Gels, 26-well WG1203BOX) with NuPage MOPS running buffer for 1.5 hour at constant 150 V. Next, proteins were transferred to Immunobilon-FL PVDF membranes (Fisher, Millipore, SLGV033RS) using NuPage transfer buffer transfer system overnight at constant 30 V. The membrane was blocked in 50% Li-Cor Odyssey buffer (Li-Cor, 927–40000) in tris-buffered saline with 0.1% Tween (TBS-T) blocking buffer for 1 hour at room temperature and incubated with the appropriate primary antibody. The specific primary antibodies were diluted in 50% Odyssey blocking buffer in TBS-T as follows: anti-SCN1A (Nav1.1) (Alomone Labs, ASC-001, 1:1,000, overnight), anti-SCN1a (Nav1.1) (Antibodies Incorporated, 75–023, 1:1,000, overnight), anti-GAPDH (Millipore, MAB374, 1:5,000, 1hour), anti-Actin (Cell Signaling, 4967S, 1:1,000, 1hr). After primary antibody treatment, membranes were washed three times in TBS-T followed by incubation for 1 hour with Alexa Fluor 700- or 800- conjugated goat antibodies specific for mouse immunoglobulin G (1:20,000, Li-COR). Membranes were then washed three times in TBS-T, followed by a single wash in TBS, imaged on the LI-COR Odyssey fluorescence imaging system, and quantified using Li-CPR Image Studio.

Behavioral assessment

For all behavioral tests, experiments were carried out during light cycle at least one hour after the lights came on. All mice were transferred to testing room for acclimation at least one hour prior to experiments. Testing apparatuses were cleaned by 75% ethanol between experiments and disinfected by 2% chlorohexidine after experiments were finished each day. All mice were tested in all the behavioral tests in the same order. Investigators were blind to the genotype of individual mouse at the time of experiment.

Open field

Each mouse was placed into the corner of an open field apparatus (Med Associates) and allowed to walk freely for 10 minutes. Total and minute by minute ambulatory distance, jumps, stereotypic behavior counts, and percent time in center of each mouse were determined using the manufacturer’s software.

Elevated plus maze

Elevated Plus Maze (Med Associates) has two open arms and two closed arms. Mice were placed in the hub of the maze and allowed to explore for five minutes. The time in each arm, as well as entrances to each arm, explorations, and head dips over the edge of the maze, were monitored by video tracking software (Med Associates).

Y maze

The Y maze apparatus consisted of three 15-inch long, 3.5-inch wide and 5-inch high arms made of white opaque plexiglass placed on a table. Each mouse was placed into the hub and allowed to freely explore for 6 minutes, with video recording. An entry was defined as the center of mouse body extending 2 inches into an arm, using tracking software (CleverSys). The chronological order of entries into respective arms was determined. Each time the mouse entered all three arms successively (e.g. A-B-C or A-C-B) was considered a set. Percent alternation was calculated by dividing the number of sets by the total number of entries minus two (since the first two entries cannot meet criteria for a set). Mice with 12 or fewer total entries were excluded from spontaneous alternation calculations due to insufficient sample size.

Tube test for social dominance

The tube test for social dominance was conducted as previously described [23].Mice of the same sex, but opposite genotype, were released into opposite ends of a clear plastic tube and allowed to freely interact. Under these conditions, one mouse will force the other out of the tube. The first mouse with two feet out of the tube was considered to have lost the match. Each mouse was paired with three different opponents of the opposite genotype, and the winning percentage was calculated for each mouse by dividing the number of wins by the total number of matches.

Three-chamber sociability test

The three-chamber sociability test was conducted as previously described [24]. Mice were allowed to freely explore a three-chambered testing apparatus for 10 min prior the introduction of wire cages containing a novel mouse (adult sex-matched C57Bl/6J) or a novel object (Lego block). Investigation of the novel mouse and object was then monitored for 10 minutes using video tracking software (CleverSys).

Scn1a and Scn8a in developing mouse brain

Publicly available RNA-seq data (SRA Accession # SRP055008) [32] was used to examine the expression of Scn1a and Scn8a in the developing mouse cortex. The RNA-seq reads were trimmed using Trim Galore (https://github.com/FelixKrueger/TrimGalore). The trimmed reads were aligned to the mouse genome build GRCm38.p6 using STAR aligner. HTSeq was used to generate counts for genes from the alignments. Scn1a and Scn8a counts were extracted from the normalized table of counts in R package DESeq2. To calculate the proportion of 20N containing transcripts, samtools depth was used to extract coverage across each base of each exon of Scn1a and Scn8a [52]. The average read count per base was calculated by dividing the total read count by the size in bp of the exons. The averages for the 20N exon and all the exons were calculated separately. After normalizing to the number of mapped reads in each sample, percent poison exon usage was calculated using the formula: (average depth of coverage of the poison exon) / (average depth of coverage of all exons) *100.

Statistics

Levels of Nav1.1 and GAPDH proteins were analyzed by Student’s t-test. Behavioral tests were analyzed by Student’s t-test or two-way RM-ANOVA specified in the figures dependent on the outcome measure. The survival data were analyzed by Kaplan-Meier statistics and post-hoc Log-rank (Mantel-Cox) test.

Two-tailed p-values were calculated for all analyses, and the cut-off for statistical significance was set at 0.05. GraphPad Prism 7 was used for all analyses. Data are presented as mean ± SEM (Standard Error of the Mean). Significance denoted as *p<0.05, **p<0.01, ***p<0.001, ****p<0001.

Supporting information

S1 Fig. MultiZ (UCSC Genome Browser) alignment surrounding SCN1A exon 20N.

(EPS)

S2 Fig. Full length Western blots of protein levels in Scn1a +/KI and Scn1a +/+ mouse brains.

(A) Brain (frontal lobe) Scn1a protein levels in Scn1a +/KI vs. Scn1a +/+ mice using rabbit anti-Nav1.1 (Scn1a) antibody from Alomone Labs. (B) GAPDH using anti-GAPDH antibody from Millipore was used as loading control. (C) Scn1a protein levels using anti-Nav1.1 (SCN1A) UC-Davis antibody. (D) Actin using anti-Actin antibodies from Cell Signaling was used as loading control. (E) RNA-seq counts of Gapdh mRNA from DEseq2 analysis in whole brains of Scn1a +/KI and Scn1a +/+ mice (n = 4−4, 11.64 ± 2.90 months, Student's unpaired t-test, p = 0.67).

(EPS)

S3 Fig. Scn1a +/KI mice have no behavioral changes detected in the elevated plus and Y mazes.

(A) Time spent in open arms of the elevated plus maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.1475). (B) Time spent in closed arms of the elevated plus maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.0958). (C) Total arm entries of the elevated plus maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.1577). (D) Correct alternations in the Y maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.5888). (E) Total distance travelled during 5 min in the Y maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.1242). All data are expressed as mean ± SEM.

(EPS)

S4 Fig. Scn1a +/KI mice have no social behavior deficits detected.

(A) Scn1a +/KI mice win equally to the littermate Scn1a +/+ mice in the social dominance tube test (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p > 0.9999). (B) During habituation, mice of both genotypes had no preference to the side (top or bottom) of the three-chamber box (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.1484, main effect of side p = 0.04828, main effect of genotype p = 0.4806). (C) During testing, mice of both genotypes had no preference to a Lego block or a stranger mouse (S) as measured by time spent in a specific chamber containing a Lego block or a stranger mouse (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.08994, main effect of stranger mouse p = 0.1339, main effect of genotype p = 0.2311). (D) Scn1a +/KI mice were not significantly different from Scn1a+/+ litter-mate controls in time spent around a cup containing stranger mouse compared to time spent around a cup containing a Lego object (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.1969, main effect of stranger mouse *p = 0.0167, main effect of genotype p = 0.0867). All data are expressed as mean ± SEM.

(EPS)

S1 Movie. Seizure activity in Scn1a +/KI animal.

(MP4)

S1 Table. Source data.

(XLSX)

Acknowledgments

We thank Brian Roberts and Sarah Strange for preparing the Lexogen 3’ RNA-seq libraries. We thank Rachael Vollmer for help maintaining the mouse colony and Shreya Kashyap for technical assistance using tube test behavioral analysis. This work was supported by the Evelyn F. McKnight Brain Institute.

Data Availability

RNA-seq data is available at the NCBI Short Read Archive (SRP269180), and at the NCBI Gene Expression Omnibus (GSE153461).

Funding Statement

The work was funded by grants from the National Institutes of Health to GMC, GSB, and EDR. Services obtained from the UAB Transgenic & Genetically Engineered Model Systems Core Facility (RAK) are supported by grants from the National Institutes of Health (P30 CA13148, P30 AR048311, P30 DK074038, P30 DK05336, P60 DK079626, U01HG007301, and R01MH110472). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Wirrell EC, Laux L, Donner E, Jette N, Knupp K, Meskis MA, et al. Optimizing the Diagnosis and Management of Dravet Syndrome: Recommendations From a North American Consensus Panel. Pediatric Neurology. 2017;68:18–34.e3. 10.1016/j.pediatrneurol.2017.01.025 [DOI] [PubMed] [Google Scholar]
  • 2.Wu YW, Sullivan J, McDaniel SS, Meisler MH, Walsh EM, Li SX, et al. Incidence of Dravet Syndrome in a US Population. PEDIATRICS. 2015;136(5):e1310–e5. 10.1542/peds.2015-1807 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Shmuely S, Sisodiya SM, Gunning WB, Sander JW, Thijs RD. Mortality in Dravet syndrome: A review. Epilepsy & Behavior. 2016;64:69–74. 10.1016/j.yebeh.2016.09.007 [DOI] [PubMed] [Google Scholar]
  • 4.Bender AC, Morse RP, Scott RC, Holmes GL, Lenck-Santini P-P. SCN1A mutations in Dravet syndrome: impact of interneuron dysfunction on neural networks and cognitive outcome. Epilepsy & behavior: E&B. 2012;23(3):177–86. Epub 2012/02/16. 10.1016/j.yebeh.2011.11.022 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Claes L, Del-Favero J, Ceulemans B, Lagae L, Van Broeckhoven C, De Jonghe P. De novo mutations in the sodium-channel gene SCN1A cause severe myoclonic epilepsy of infancy. Am J Hum Genet. 2001;68(6):1327–32. Epub 2001/05/19. 10.1086/320609 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Yu FH, Mantegazza M, Westenbroek RE, Robbins CA, Kalume F, Burton KA, et al. Reduced sodium current in GABAergic interneurons in a mouse model of severe myoclonic epilepsy in infancy. Nat Neurosci. 2006;9(9):1142–9. Epub 2006/08/22. 10.1038/nn1754 . [DOI] [PubMed] [Google Scholar]
  • 7.Ogiwara I, Miyamoto H, Morita N, Atapour N, Mazaki E, Inoue I, et al. 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. 2007;27(22):5903–14. Epub 2007/06/01. 10.1523/JNEUROSCI.5270-06.2007 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hedrich UB, Liautard C, Kirschenbaum D, Pofahl M, Lavigne J, Liu Y, et al. Impaired action potential initiation in GABAergic interneurons causes hyperexcitable networks in an epileptic mouse model carrying a human Na(V)1.1 mutation. J Neurosci. 2014;34(45):14874–89. Epub 2014/11/08. 10.1523/JNEUROSCI.0721-14.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lopez-Santiago L, Isom LL. Dravet Syndrome: A Developmental and Epileptic Encephalopathy. Epilepsy Curr. 2019;19(1):51–3. Epub 2019/03/07. 10.1177/1535759718822038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Carvill GL, Weckhuysen S, McMahon JM, Hartmann C, Moller RS, Hjalgrim H, et al. GABRA1 and STXBP1: novel genetic causes of Dravet syndrome. Neurology. 2014;82(14):1245–53. Epub 2014/03/14. 10.1212/WNL.0000000000000291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Carvill GL, Engel KL, Ramamurthy A, Cochran JN, Roovers J, Stamberger H, et al. Aberrant Inclusion of a Poison Exon Causes Dravet Syndrome and Related SCN1A-Associated Genetic Epilepsies. The American Journal of Human Genetics. 2018;103(6):1022–9. 10.1016/j.ajhg.2018.10.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Oh Y, Waxman SG. Novel splice variants of the voltage-sensitive sodium channel alpha subunit. Neuroreport. 1998;9(7):1267–72. Epub 1998/06/19. 10.1097/00001756-199805110-00002 . [DOI] [PubMed] [Google Scholar]
  • 13.Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol. 2014;32(4):347–55. Epub 2014/03/04. 10.1038/nbt.2842 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Seibenhener ML, Wooten MC. Use of the Open Field Maze to measure locomotor and anxiety-like behavior in mice. Journal of visualized experiments: JoVE. 2015;(96):e52434–e. 10.3791/52434 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bortolato M, Godar SC, Davarian S, Chen K, Shih JC. Behavioral disinhibition and reduced anxiety-like behaviors in monoamine oxidase B-deficient mice. Neuropsychopharmacology: official publication of the American College of Neuropsychopharmacology. 2009;34(13):2746–57. Epub 2009/08/26. 10.1038/npp.2009.118 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Roberson ED, Scearce-Levie K, Palop JJ, Yan F, Cheng IH, Wu T, et al. Reducing endogenous tau ameliorates amyloid β-induced deficits in an Alzheimer’s disease mouse model. Science. 2007;316(5825):750–4. 10.1126/science.1141736 . [DOI] [PubMed] [Google Scholar]
  • 17.Hall AM, Throesch BT, Buckingham SC, Markwardt SJ, Peng Y, Wang Q, et al. Tau-dependent Kv4.2 depletion and dendritic hyperexcitability in a mouse model of Alzheimer's disease. J Neurosci. 2015;35(15):6221–30. 10.1523/JNEUROSCI.2552-14.2015 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ito S, Ogiwara I, Yamada K, Miyamoto H, Hensch TK, Osawa M, et al. Mouse with Nav1.1 haploinsufficiency, a model for Dravet syndrome, exhibits lowered sociability and learning impairment. Neurobiology of disease. 2013;49:29–40. Epub 2012/09/19. 10.1016/j.nbd.2012.08.003 . [DOI] [PubMed] [Google Scholar]
  • 19.Han S, Yu FH, Schwartz MD, Linton JD, Bosma MM, Hurley JB, et al. Na(V)1.1 channels are critical for intercellular communication in the suprachiasmatic nucleus and for normal circadian rhythms. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(6):E368–77. Epub 2012/01/10. 10.1073/pnas.1115729109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Griffin A, Hamling KR, Hong S, Anvar M, Lee LP, Baraban SC. Preclinical Animal Models for Dravet Syndrome: Seizure Phenotypes, Comorbidities and Drug Screening. Frontiers in Pharmacology. 2018;9:573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Walf AA, Frye CA. The use of the elevated plus maze as an assay of anxiety-related behavior in rodents. Nature protocols. 2007;2(2):322–8. 10.1038/nprot.2007.44 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kraeuter AK, Guest PC, Sarnyai Z. The Y-Maze for Assessment of Spatial Working and Reference Memory in Mice. Methods Mol Biol. 2019;1916:105–11. Epub 2018/12/12. 10.1007/978-1-4939-8994-2_10 . [DOI] [PubMed] [Google Scholar]
  • 23.Arrant AE, Filiano AJ, Warmus BA, Hall AM, Roberson ED. Progranulin haploinsufficiency causes biphasic social dominance abnormalities in the tube test. Genes Brain Behav. 2016;15(6):588–603. 10.1111/gbb.12300 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Filiano AJ, Martens LH, Young AH, Warmus BA, Zhou P, Diaz-Ramirez G, et al. Dissociation of frontotemporal dementia–related deficits and neuroinflammation in progranulin haploinsufficient mice. J Neurosci. 2013;33(12):5352–61. Epub 2013/03/22. 10.1523/JNEUROSCI.6103-11.2013 PubMed Central PMCID: PMC3740510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Felts PA, Yokoyama S, Dib-Hajj S, Black JA, Waxman SG. Sodium channel alpha-subunit mRNAs I, II, III, NaG, Na6 and hNE (PN1): different expression patterns in developing rat nervous system. Brain Res Mol Brain Res. 1997;45(1):71–82. Epub 1997/04/01. 10.1016/s0169-328x(96)00241-0 . [DOI] [PubMed] [Google Scholar]
  • 26.Beckh S, Noda M, Lubbert H, Numa S. Differential regulation of three sodium channel messenger RNAs in the rat central nervous system during development. Embo j. 1989;8(12):3611–6. Epub 1989/12/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Cheah CS, Westenbroek RE, Roden WH, Kalume F, Oakley JC, Jansen LA, et al. Correlations in timing of sodium channel expression, epilepsy, and sudden death in Dravet syndrome. Channels (Austin). 2013;7(6):468–72. Epub 2013/08/21. 10.4161/chan.26023 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Haufe V, Camacho JA, Dumaine R, Günther B, Bollensdorff C, Von Banchet GS, et al. Expression pattern of neuronal and skeletal muscle voltage-gated Na+channels in the developing mouse heart. The Journal of Physiology. 2005;564(3):683–96. 10.1113/jphysiol.2004.079681 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Plummer NW, McBurney MW, Meisler MH. Alternative splicing of the sodium channel SCN8A predicts a truncated two-domain protein in fetal brain and non-neuronal cells. J Biol Chem. 1997;272(38):24008–15. Epub 1997/09/20. 10.1074/jbc.272.38.24008 . [DOI] [PubMed] [Google Scholar]
  • 30.Howell VM, Jones JM, Bergren SK, Li L, Billi AC, Avenarius MR, et al. Evidence for a direct role of the disease modifier SCNM1 in splicing. Hum Mol Genet. 2007;16(20):2506–16. Epub 2007/07/28. 10.1093/hmg/ddm206 . [DOI] [PubMed] [Google Scholar]
  • 31.O'Brien JE, Drews VL, Jones JM, Dugas JC, Barres BA, Meisler MH. Rbfox proteins regulate alternative splicing of neuronal sodium channel SCN8A. Mol Cell Neurosci. 2012;49(2):120–6. Epub 2011/11/03. 10.1016/j.mcn.2011.10.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yan Q, Weyn-Vanhentenryck SM, Wu J, Sloan SA, Zhang Y, Chen K, et al. Systematic discovery of regulated and conserved alternative exons in the mammalian brain reveals NMD modulating chromatin regulators. Proceedings of the National Academy of Sciences. 2015;112(11):3445 10.1073/pnas.1502849112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Escayg A, Goldin AL. Sodium channel SCN1A and epilepsy: mutations and mechanisms. Epilepsia. 2010;51(9):1650–8. 10.1111/j.1528-1167.2010.02640.x . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Gordon D, Merrick D, Auld V, Dunn R, Goldin AL, Davidson N, et al. Tissue-specific expression of the RI and RII sodium channel subtypes. Proceedings of the National Academy of Sciences. 1987;84(23):8682 10.1073/pnas.84.23.8682 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ragona F, Brazzo D, De Giorgi I, Morbi M, Freri E, Teutonico F, et al. Dravet syndrome: early clinical manifestations and cognitive outcome in 37 Italian patients. Brain & development. 2010;32(1):71–7. Epub 2009/10/27. 10.1016/j.braindev.2009.09.014 . [DOI] [PubMed] [Google Scholar]
  • 36.Cetica V, Chiari S, Mei D, Parrini E, Grisotto L, Marini C, et al. Clinical and genetic factors predicting Dravet syndrome in infants with SCN1A mutations. Neurology. 2017;88(11):1037–44. Epub 2017/02/17. 10.1212/WNL.0000000000003716 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Cardoso-Moreira M, Halbert J, Valloton D, Velten B, Chen C, Shao Y, et al. Gene expression across mammalian organ development. Nature. 2019;571(7766):505–9. Epub 2019/06/28. 10.1038/s41586-019-1338-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Zubović L, Baralle M, Baralle FE. Mutually exclusive splicing regulates the Nav 1.6 sodium channel function through a combinatorial mechanism that involves three distinct splicing regulatory elements and their ligands. Nucleic acids research. 2012;40(13):6255–69. Epub 2012/03/19. 10.1093/nar/gks249 . [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 39.Kalume F, Westenbroek RE, Cheah CS, Yu FH, Oakley JC, Scheuer T, et al. Sudden unexpected death in a mouse model of Dravet syndrome. The Journal of clinical investigation. 2013;123(4):1798–808. Epub 2013/03/26. 10.1172/JCI66220 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Auerbach DS, Jones J, Clawson BC, Offord J, Lenk GM, Ogiwara I, et al. Altered cardiac electrophysiology and SUDEP in a model of Dravet syndrome. PloS one. 2013;8(10):e77843 Epub 2013/10/25. 10.1371/journal.pone.0077843 PubMed Central PMCID: PMC3796479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Palombo R, Verdile V, Paronetto MP. Poison-Exon Inclusion in DHX9 Reduces Its Expression and Sensitizes Ewing Sarcoma Cells to Chemotherapeutic Treatment. Cells. 2020;9(2):328 10.3390/cells9020328 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Messina S, Sframeli M. New Treatments in Spinal Muscular Atrophy: Positive Results and New Challenges. J Clin Med. 2020;9(7):2222 10.3390/jcm9072222 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Li D, Mastaglia FL, Fletcher S, Wilton SD. Precision Medicine through Antisense Oligonucleotide-Mediated Exon Skipping. Trends Pharmacol Sci. 2018;39(11):982–94. Epub 2018/10/05. 10.1016/j.tips.2018.09.001 . [DOI] [PubMed] [Google Scholar]
  • 44.Yin T, Cook D, Lawrence M. ggbio: an R package for extending the grammar of graphics for genomic data. Genome Biol. 2012;13(8):R77 Epub 2012/09/04. 10.1186/gb-2012-13-8-r77 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.R Core Team. R: A language and environment for statistical computing R Foundation for Statistical Computing, Vienna, Austria: 2019. [Google Scholar]
  • 46.Rosenbloom KR, Armstrong J, Barber GP, Casper J, Clawson H, Diekhans M, et al. The UCSC Genome Browser database: 2015 update. Nucleic Acids Res. 2015;43(Database issue):D670–81. Epub 2014/11/28. 10.1093/nar/gku1177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Davydov EV, Goode DL, Sirota M, Cooper GM, Sidow A, Batzoglou S. Identifying a high fraction of the human genome to be under selective constraint using GERP++. PLoS Comput Biol. 2010;6(12):e1001025 Epub 2010/12/15. 10.1371/journal.pcbi.1001025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Waterhouse AM, Procter JB, Martin DM, Clamp M, Barton GJ. Jalview Version 2—a multiple sequence alignment editor and analysis workbench. Bioinformatics. 2009;25(9):1189–91. Epub 2009/01/20. 10.1093/bioinformatics/btp033 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics (Oxford, England). 2013;29(1):15–21. Epub 2012/10/25. 10.1093/bioinformatics/bts635 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Anders S, Pyl PT, Huber W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166–9. Epub 2014/09/28. 10.1093/bioinformatics/btu638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550 Epub 2014/12/18. 10.1186/s13059-014-0550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078–9. Epub 2009/06/10. 10.1093/bioinformatics/btp352 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Gregory P Copenhaver, Joseph Shieh

30 Jul 2020

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Dear Dr Barsh,

Thank you very much for submitting your Research Article entitled 'Aberrant regulation of a poison exon caused by a non-coding variant in a mouse model of Scn1a-associated epileptic encephalopathy' to PLOS Genetics. Your manuscript was fully evaluated at the editorial level and by independent peer reviewers. The reviewers appreciated the attention to an important topic but identified some aspects of the manuscript that should be improved.

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Gregory P. Copenhaver

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Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: Voskobiynik et al present their findings in support of a "poison exon" model for some patients with Dravet syndrome, and show that an intron 20 mutation found in patients recapitulates a Dravet syndrome-like phenotype in a CRISPR/Cas9 knockin mouse model. Overall, their data are compelling that the intronic mutation c.3969+2451G>C leads essentially to a haploinsufficiency state for SCN1A. They argue, though do not prove, that this is due to nonsense-mediated decay. Building on previous work with a poison exon in SCN8A, they also show that the poison exon is expressed during fetal development, and only becomes a minor species postnatally.

It would be helpful if the authors might briefly expand on the time points where exon 20N becomes a minor species (P15), and when the Dravet phenotype emerges. Is the increased death in SCN1A+/KI mice seen only around P15, but not at P7, for example?

There is also some literature to suggest an association of SCN1A mutations with SUDEP and fatal cardiac arrhythmias, and possibly liver toxicity. Perhaps, although the authors find lower SCN1A expression in heart and liver, these lower expressions should not be dismissed in the pathophysiology of DS. The 20N exon mRNA is undetectable in several of the non-brain tissues. Does this suggest that the poison exon does not explain reduced SCN1A expression in these tissues compared to brain?

The discussion of targeting exon 20N with therapeutics to treat DS is intriguing, though the mechanism of exon 20 formation likely needs to be clarified. This work would certainly be strengthened by mechanistic data regarding the incorporation of exon 20 in normal development and the increased incorporation in patients with the c.3969+2451G>C mutation. However, I do not think this additional mechanistic data is essential for the authors to argue their case in this study.

A minor point: SMA pathophysiology is not explained correctly in the discussion: SMA is not caused by haploinsufficiency of SMN2, but by homozygous loss of SMN1, with copy number of SMN2 influencing severity and onset of disease. It is true that nusinersen, an antisense oligonucleotide, is used to treat SMA by modifying splicing (incorporation of exon 7). This should be corrected in the manuscript, along with a few grammatical errors. Overall, the manuscript is clear and well-written.

Reviewer #2: oskobiynyk and collaborators report on the functional effects of a "poison exon" variant in SCN1A, a recently identified genetic mechanism in Dravet Syndrome. The authors report on the effect on a mouse model, replicating the phenotype and provide a conceptual framework on how a deep intronic variant affects poison exon inclusion and gene regulation. Their work is very detailed and provides a good rationale for this new genetic mechanism. I have the following comments and questions.

Seizure phenotype of SCN1A+/KI mice

The authors provide relatively little information on the seizure phenotypes of the SCN1A+/KI mice and do not provide some of the detailed EEG analysis that was used in other mouse models for SCN1A. Could the authors provide some more quantitative information on seizures in the SCN1A+/KI mice to make the case that their model aligns with prior SCN1A mouse models? Given the overall complexity of the manuscript, I would not require the authors to generate additional data, but simply provide existing data in a more comparative way.

Reference to clinical features of index patients

The authors refer to their index patient with the c.3969+2451G>C variant, but the reader is required to return to the prior publication by Carvill and collaborators to obtain more information. Could the authors provide a brief synopsis of the patient's clinical features and genetic features (de novo status of the c.3969+2451G>C variant)?

Survival of SCN1A+/KI mice

The authors provide a sufficient description on how SCN1A+/KI mice replicate prior Dravet Syndrome mouse models. However, following the description alone is relative difficult at times. Would it be possible for the authors to add information on "historic comparisons" for other DS models to Figure 3 (or some parts of Figure 3), for example by adding another survival curve in Figure A to compare SCN1A+/KI mice to prior DS models?

Ratio of inclusion of poison exon

In lines 171-174, the authors conclude that nearly all transcripts from the allele contain exon 20N compared to only 1% in WT mice. Could the authors expand on how they arrive at this number? It becomes obvious from comparing the reduction in overall SCN1A expression, but is this the only conclusion? Could the exon 20N mutation have triggered other transcriptional events that reduce SCN1A expression? Also, could the authors provide hypothesis how the increased inclusion is achieved? Is there anything known about regulatory elements in exon 20N that may have triggered increased/decreased binding of RNA-binding proteins that lead to the inclusion?

Developmental trajectory of poison exon inclusion

The authors should be complemented for their bioinformatic analysis of exon 20N inclusion in SCN1A and SCN8A. This data shows that 'poison exon inclusion' is not a pathological mechanism in itself, but that the disease mechanism in SCN1A and SCN8A is 'persistent poison exon inclusion', a defect of turning off a likely physiological developmental mechanism. The authors can consider whether they want to point out this aspect (optional).

Mouse vs. human development

Could the authors provide references on how mouse development corresponds to human development with respect to SCN1A expression. It may be implied from their paper that physiological poison exon inclusion ends at an estimated 3-6 months age in human when clinical features of DS become apparent, but a clinical reader may not be able to infer the human age at mouse age P15.

Reviewer #3: The authors developed another mouse model for Dravet syndrome (DS) based on knock-in of a variant in poison exon 20N in the gene SCN1A which they described previously in a DS patient. They nicely show that the mechanism is evolutionary conserved and that overexpression of the allele with a poison exon is triggered by the mutation and leads to a decrease of Nav1.1 channels of about 50%, comparable to other DS models. They further show that there is developmental regulation of Nav1.1 including poison exon 20N which contributes to the relatively late upregulation of Nav1.1 in development. A similar mechanism is confirmed for Nav1.6 which had been described previously. The results are clearly presented and the manuscript is well written

Critique

Major points

1. The manuscript stays on a descriptive level and the potential gene regulatory mechanisms are neither examined nor discussed. The authors describe that Nav1.1 expression in other than neuronal tissues is low throughout development, suggesting that the SCN1A promoter is responsible for tissue-specific expression of the gene and that the poison exon does not contribute to suppression of Nav1.1 expression in other tissues. The authors do not discuss this issue. I am not an expert in gene regulation but the authors mention other diseases like cancer in which poison exons play a role. Thus it may be that mechanisms have been examined as to why poison exons are expressed at different levels under various conditions, such as a disease-causing mutation or developmental regulation. At the very least, the authors should mention known mechanisms of gene regulation by poison exons and they should discuss different roles of promoter- and poison-exon-mediated mechanisms.

Minor points

2. Appropriate original literature should be cited on DS/SCN1A, not only reviews (refs 5,6). Claes et al. AJHG 2001, Yu et al. Nat Neurosci 2006, Ogiwara et al. J Neurosci 2007, Hedrich et al. J Neurosci 2014 are key papers with regard to genetics and pathophysiology of SCN1A defects including widespread interneuron and network dysfunction which should be cited right at the beginning.

3. The authors should mention in the results section that premature death in DS mouse models largely depends on genetic background and they should report the background they used not only in the methods section.

4. Fig. 1D: The linkers between segments S4 and S5 have a similar length in all four domains. The figure suggests that it is longer in domain 3, which is not the case. Please adapt the figure accordingly.

**********

Have all data underlying the figures and results presented in the manuscript been provided?

Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Decision Letter 1

Gregory P Copenhaver, Joseph Shieh

14 Oct 2020

Dear Dr Barsh,

We are pleased to inform you that your manuscript entitled "Aberrant regulation of a poison exon caused by a non-coding variant in a mouse model of Scn1a-associated epileptic encephalopathy" has been editorially accepted for publication in PLOS Genetics. Congratulations!

One of the reviewers suggested that you add a reference to the recently published Han et al., Sci. Transl. Med. 12, eaaz6100 (2020) paper. We agree that this would be a sensible addition and encourage you to do so as you prepare the final draft for the production team (the editorial team will not need to re-evaluate).

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Yours sincerely,

Joseph Shieh, M.D. Ph.D.

Guest Editor

PLOS Genetics

Gregory P. Copenhaver

Editor-in-Chief

PLOS Genetics

www.plosgenetics.org

Twitter: @PLOSGenetics

----------------------------------------------------

Comments from the reviewers (if applicable):

Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: The authors have addressed the reviewers' concerns, and I commend them on a well-developed demonstration of a poison exon mechanism for Dravet syndrome. The additions to the manuscript and figures, including additional explanations of the seizure phenotype and potential mechanisms of exon 20 inclusion, are much appreciated and strengthen this work. Well done!

Reviewer #2: The authors have responded to all my earlier questions and I have no further concerns.

Reviewer #3: The authors have generally addressed the comments of the reviewers satisfactorily. Unfortunately, the changes by the authors were NOT indicated in red, as they wrote at the beginning of their reply.

Since the first review, a manuscript was published that uses TANGO to suppress exon 20N, so what the authors propose in the discussion as a therapeutic strategy has been already done. The authors have to cite this paper in their revised version: Han et al., Sci. Transl. Med. 12, eaaz6100 (2020).

**********

Have all data underlying the figures and results presented in the manuscript been provided?

Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: Yes: Holger Lerche

----------------------------------------------------

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Acceptance letter

Gregory P Copenhaver, Joseph Shieh

1 Dec 2020

PGENETICS-D-20-01021R1

Aberrant regulation of a poison exon caused by a non-coding variant in a mouse model of Scn1a-associated epileptic encephalopathy

Dear Dr Barsh,

We are pleased to inform you that your manuscript entitled "Aberrant regulation of a poison exon caused by a non-coding variant in a mouse model of Scn1a-associated epileptic encephalopathy" has been formally accepted for publication in PLOS Genetics! Your manuscript is now with our production department and you will be notified of the publication date in due course.

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. MultiZ (UCSC Genome Browser) alignment surrounding SCN1A exon 20N.

    (EPS)

    S2 Fig. Full length Western blots of protein levels in Scn1a +/KI and Scn1a +/+ mouse brains.

    (A) Brain (frontal lobe) Scn1a protein levels in Scn1a +/KI vs. Scn1a +/+ mice using rabbit anti-Nav1.1 (Scn1a) antibody from Alomone Labs. (B) GAPDH using anti-GAPDH antibody from Millipore was used as loading control. (C) Scn1a protein levels using anti-Nav1.1 (SCN1A) UC-Davis antibody. (D) Actin using anti-Actin antibodies from Cell Signaling was used as loading control. (E) RNA-seq counts of Gapdh mRNA from DEseq2 analysis in whole brains of Scn1a +/KI and Scn1a +/+ mice (n = 4−4, 11.64 ± 2.90 months, Student's unpaired t-test, p = 0.67).

    (EPS)

    S3 Fig. Scn1a +/KI mice have no behavioral changes detected in the elevated plus and Y mazes.

    (A) Time spent in open arms of the elevated plus maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.1475). (B) Time spent in closed arms of the elevated plus maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.0958). (C) Total arm entries of the elevated plus maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.1577). (D) Correct alternations in the Y maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.5888). (E) Total distance travelled during 5 min in the Y maze (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p = 0.1242). All data are expressed as mean ± SEM.

    (EPS)

    S4 Fig. Scn1a +/KI mice have no social behavior deficits detected.

    (A) Scn1a +/KI mice win equally to the littermate Scn1a +/+ mice in the social dominance tube test (n = 6–8, 13.81 ± 0.47 months, Student’s unpaired t-test, p > 0.9999). (B) During habituation, mice of both genotypes had no preference to the side (top or bottom) of the three-chamber box (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.1484, main effect of side p = 0.04828, main effect of genotype p = 0.4806). (C) During testing, mice of both genotypes had no preference to a Lego block or a stranger mouse (S) as measured by time spent in a specific chamber containing a Lego block or a stranger mouse (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.08994, main effect of stranger mouse p = 0.1339, main effect of genotype p = 0.2311). (D) Scn1a +/KI mice were not significantly different from Scn1a+/+ litter-mate controls in time spent around a cup containing stranger mouse compared to time spent around a cup containing a Lego object (n = 6–8, 13.81 ± 0.47 months, two-way RM-ANOVA, interaction p = 0.1969, main effect of stranger mouse *p = 0.0167, main effect of genotype p = 0.0867). All data are expressed as mean ± SEM.

    (EPS)

    S1 Movie. Seizure activity in Scn1a +/KI animal.

    (MP4)

    S1 Table. Source data.

    (XLSX)

    Attachment

    Submitted filename: ReplyToReviewers.docx

    Data Availability Statement

    RNA-seq data is available at the NCBI Short Read Archive (SRP269180), and at the NCBI Gene Expression Omnibus (GSE153461).


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