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The Journal of Biological Chemistry logoLink to The Journal of Biological Chemistry
. 2021 Jan 15;296:100298. doi: 10.1016/j.jbc.2021.100298

Cryptic prokaryotic promoters explain instability of recombinant neuronal sodium channels in bacteria

Jean-Marc DeKeyser 1, Christopher H Thompson 1, Alfred L George Jr 1,
PMCID: PMC7948969  PMID: 33460646

Abstract

Mutations in genes encoding the human-brain-expressed voltage-gated sodium (NaV) channels NaV1.1, NaV1.2, and NaV1.6 are associated with a variety of human diseases including epilepsy, autism spectrum disorder, familial migraine, and other neurodevelopmental disorders. A major obstacle hindering investigations of the functional consequences of brain NaV channel mutations is an unexplained instability of the corresponding recombinant complementary DNA (cDNA) when propagated in commonly used bacterial strains manifested by high spontaneous rates of mutation. Here, using a combination of in silico analysis, random and site-directed mutagenesis, we investigated the cause for instability of human NaV1.1 cDNA. We identified nucleotide sequences within the NaV1.1 coding region that resemble prokaryotic promoter-like elements, which are presumed to drive transcription of translationally toxic mRNAs in bacteria as the cause of the instability. We further demonstrated that mutations disrupting these elements mitigate the instability. Extending these observations, we generated full-length human NaV1.1, NaV1.2, and NaV1.6 plasmids using one or two introns that interrupt the latent reading frames along with a minimum number of silent nucleotide changes that achieved stable propagation in bacteria. Expression of the stabilized sequences in cultured mammalian cells resulted in functional NaV channels with properties that matched their parental constructs. Our findings explain a widely observed instability of recombinant neuronal human NaV channels, and we describe re-engineered plasmids that attenuate this problem.

Keywords: sodium channel, brain, plasmid, molecular biology, electrophysiology, epilepsy, neurological disease, autism

Abbreviations: cDNA, complementary DNA; EGFP, enhanced green fluorescent protein; IS, insertion sequence; Nav, voltage-gated sodium; ORF, open reading frame; PCR, polymerase chain reaction


Recombinant brain-expressed voltage-gated sodium (NaV) channels are important tools for investigating structure–function relationships, drug discovery, and for determining the consequences of naturally occurring human mutations associated with neurological and neurodevelopmental disorders such as epilepsy, familial migraine, and autism spectrum disorder (1, 2). However, high-throughput manipulations of these nucleic acid reagents are difficult owing to the instability of neuronal NaV channels when propagated in bacteria (3).

When transformed into typical Escherichia coli bacterial host cells, some neuronal NaV channel cDNAs, particularly NaV1.1, NaV1.2, and NaV1.6, exhibit a high spontaneous mutation rate resulting in single-nucleotide changes, small deletions, and insertion sequence (IS) element integrations. Certain bacterial strains (e.g., JM101, DH5α, DH10B/Top10) appear to be more prone to this instability while others such as Stbl2 and Epi400 can be used to maintain the cDNAs more stably, possibly by reducing the plasmid copy number. However, even in the more accommodating cell types, mutations do occur and render the isolated plasmid DNA useless for experiments. Clones on agar plates that appear early and grow into large colonies are almost invariably corrupt, whereas the small later-appearing clones have a lower incidence of spontaneous mutation.

A number of approaches have been used to mitigate the plasmid instabilities of human neuronal NaV channel cDNAs, such as the use of the aforementioned Stbl2 or Epi400 host strains, low (30 °C) growth temperature, selecting only small colonies, and not allowing liquid cultures to reach the saturation phase (3). Although these precautions can increase the odds of obtaining unaltered DNA, unwanted mutations still emerge. Codon optimization has been reported to alleviate the instability of recombinant NaV1.1, NaV1.2, and NaV1.6 (4, 5, 6). However, this approach may not always be desirable because altering rare codons encoding protein transmembrane domains may impair translational pausing and affect proper protein folding (7, 8, 9). Furthermore, while codon optimization may be effective for stabilizing cDNAs, this approach does not explain the cause of the instabilities. Because of the importance of NaV channel research and the cost in time and resources incurred by this instability, we sought to determine the underlying molecular causes to enable a rationally designed solution to generate stable NaV channel cDNAs with few or no codon alterations.

Results

Deducing the mechanism of NaV1.1 instability

We investigated causes of the bacterial instability of a recombinant human NaV1.1 cDNA (NCBI accession NM_001165963) by determining the stability of individual cloned subfragments (Fig. 1A). When divided into four overlapping cassettes (cassette-1: coding sequence nucleotides [c.] 1–1560; cassette-2: c.1555–3218; cassette-3: c.3213–5601; and cassette-4: c.5341–6030), only cassette-3 exhibited instability in bacteria as evidenced by a high proportion of isolated plasmid DNAs having altered restriction fragment patterns. To pinpoint sequences responsible for this instability, cassette-3 was further divided into seven overlapping subfragments for analysis. Two of the subfragments (subfragments 5 and 7) exhibited instability in bacteria suggesting they harbored unstable elements (Fig. 1B).

Figure 1.

Figure 1

Localization of unstable human NaV1.1 cDNA sub-regions. A, relationship of NaV1.1 cassette 3 and nested fragments. Nucleotide range of each region is shown within each horizontal bar. The stability of each cDNA fragment is indicated. B, EcoRI digest of subfragment 7 clones illustrates instability. Clone 10 (highlighted with white box) was stabilized by a random point mutation (c.4158A>G) in a promoter-like element and shows the correct restriction pattern (3.96 kb vector fragment, 1.55 kb insert). Size in kilobase pairs (kb) for the major bands is given to the right of the gel image. The molecular weight marker is a mixture of HaeIII-digested bacteriophage ΦX174 DNA and HindIII-digested bacteriophage λ DNA (between lanes 7 and 8).

To pinpoint sequences that were responsible for the instability, we used serial polymerase chain reaction (PCR) amplification of subfragments 5 and 7 to introduce random mutations that would result in rare stabilizing events informative about the location of unstable elements. Plasmid DNA isolated from fast-growing (appearing after overnight growth) bacterial colonies was screened by restriction digestion to identify clones with correct restriction patterns, reasoning that some of those clones would have stabilizing single-nucleotide mutations. The sequences of three clones (one from subfragment 5, two from subfragment 7) were informative. Two of the three stable clones had single-nucleotide mutations (c.4507G>T and c.4594G>T, nucleotide numbering based on the full-length NaV1.1 open reading frame [ORF]) that introduced in-frame premature stop codons (E1503X and G1532X), whereas the third clone had a single nucleotide mutation (c.4157A>G) resulting in a nonsynonymous codon change (D1386E; Fig. 2A). This raised the possibility that stabilization of the cloned subfragments occurred secondary to either truncation or disruption of an inappropriately expressed portion of the NaV1.1 cDNA. Analysis of the sequence surrounding the nonsynonymous mutation revealed a prokaryotic promoter-like element. Specifically, the mutation disrupted a putative -35 box of a predicted Sigma 70 factor promoter-like sequence (Fig. 2B). These findings suggested that stop codons in the first two clones truncated a toxic reading frame translated from mRNA transcribed by the promoter-like sequence that was disrupted by the nonsynonymous mutation in the third clone.

Figure 2.

Figure 2

Stabilizing mutations in human NaV1.1 cDNA. A, relative locations of stabilizing single-nucleotide mutations in subfragments 5 and 7 are indicated by vertical lines labeled with the codon change and amino acid sequence change. Premature stop codons are additionally indicated by red hexagons. B, amino acid and nucleic acid sequence of the NaV1.1 cassette 3 promoter-like element with the positions of the random Fragment 5 promoter mutation and engineered silent mutations made to the -35 or -10 boxes. Periods indicate wild-type bases, and letters indicate altered bases. The putative -35 and -10 boxes are underlined and bolded. Nucleotide consensus sequence for the E. coli sigma 70 factor promoter spanning NaV1.1 c.4142–4187 is shown above the protein translation.

Cryptic bacterial promoters cause NaV1.1 cDNA instability

To test this hypothesis, three sets of silent mutations were made in the promoter-like sequence of cassette-3 to disrupt the putative -35 box (c.4155T>C), -10 box (c.4179T>C and c.4182T>C), or both elements (Fig. 2B). All three sets of silent mutations resulted in stable cDNA clones. To test whether the instability in the cassette correlated with a translated region of NaV1.1, four in-frame methionine residues (Met1435, Met1438, Met1459, and Met1500) in the original cDNA between the promoter-like sequence and the earliest PCR-induced stop codon were mutated from ATG to ATA. Only one ATG>ATA mutation (c.4500G>A; Met1500Ile) stabilized cassette-3, indicating that this codon may serve as an aberrant translation start (Fig. 3A). In support of this idea, a high-scoring bacterial ribosome-binding site (Shine-Dalgarno sequence; TTTGGAGGT) was predicted 13–21 nucleotides 5′ of this ATG (c.4486–4497; Fig. 3B). The location of this cryptic reading frame within the full-length NaV1.1 cDNA sequence aligns with the last six-transmembrane domain (domain IV) of the encoded NaV channel protein.

Figure 3.

Figure 3

Potential start codons of toxic reading frames in human NaV1.1 cDNA sequence. A, in-frame ATG codons located between the putative active promoter (c.4154–4182, black box) and the location of the closest randomly obtained in-frame stabilizing stop codon (filled inverted triangle; GAA → TAA). Only an ATG>ATA change in ATG-4 at position c.4498 (Met1500) resulted in a stable plasmid. B, translated nucleotide sequences surrounding the candidate start codons (the three regions are not continuous). A putative Shine–Dalgarno site is denoted by underlined uppercase letters.

Construction of stabilized “low promoter” NaV1.1

Introduction of the cassette-3 stabilizing mutations into the full-length NaV1.1 cDNA did not stabilize the entire plasmid, and we suspected the existence of other cryptic promoter-like elements elsewhere in the sequence. While NaV1.1 cassettes 1 and 2 were stable individually, they were unstable when assembled together. Using a similar strategy that led to identification of promoter-like elements in cassette-3, we tested the stability of six overlapping subfragments of cassette-1/2 and identified a 2029 bp unstable segment (c.749–2778). Mutating one of the four methionine codons (Met-350; c.1048–1050) in this segment to ATA stabilized cassette-1/2. An in silico search for additional cryptic promoters identified high-scoring promoter-like sequences (see Experimental procedures) between positions c.27 and c.3113 (Table S1). Cassettes 1 and 2 were remade by gene synthesis to disrupt the putative promoter elements with silent mutations (Table S2), then recombined with the stabilized cassette-3 and the unaltered stable cassette-4. The final reconstructed full-length cDNA (Fig. S1) included 60 synonymous nucleotide changes and was stably propagated in bacteria (Top10 cells) grown at 37 °C. We inferred that a cryptic promoter located at nucleotide position 875–903 was driving a toxic reading frame initiated at Met-350. Figure 4 illustrates the location of cryptic bacterial promoters, translation start sites, and toxic peptides on a topographical map of the NaV1.1 channel.

Figure 4.

Figure 4

Positions of elements critical to the stability of the NaV1.1 cDNA. Schematic of NaV1.1 protein showing landmarks referenced in the text. The locations of experimentally identified cryptic bacterial promoters in cassette 1 (starting at codon 295) and cassette 3 (starting at codon 1385) are denoted by red nodes. The translational start sites of toxic peptides in NaV1.1 cassette 1 (Met350) and cassette 3 ORF start (Met1500) are indicated in green. Cassette 1–2 and cassette 3 toxic ORFs are indicated by brackets, and landmarks for the NaV1.1 cassettes (cassette 1–2 junction, codon 519; cassette 2–3 junction, codon 1071; and cassette 3 end; codon 1867) are shown in blue. The image was generated in MatLab using plotgen provided by A. C. Linnenbank and modified by one of the authors (J.-M. D.) and rendered in PovRay.

Guided by these initial observations, we chose a simpler strategy that required fewer alterations of the coding sequence to stabilize the human NaV1.1 cDNA and two other human neuronal sodium channels (NaV1.2, NCBI accession NM_021007; NaV1.6, NCBI accession NM_014191) using short introns to interrupt the putative toxic reading frames. We introduced introns at native exon–exon junctions close to or within the sequence analogous to the toxic reading frame found in NaV1.1 or in regions where bacterial insertion elements had been previously observed in stable but mutated NaV1.1 clones. We inserted a previously published β-globin/IgG chimeric intron intervening sequence (IVS) (GenBank accession U47120) immediately after c.2946 in the NaV1.1 cDNA. The human NaV1.1 cDNA required additional silent mutations to disable a cryptic promoter located at nucleotide position 875–903 including c.879G>A in the -35 box and three others (c.897T>C, c.900T>C, c.903C>T) in the -10 box (Fig. S2), as well as a silent change (c.4155T>C) in the -35 box described earlier. Stabilization of the NaV1.2 cDNA was achieved by inserting the IVS immediately after c.4551, and no other substitutions were required. For the NaV1.6 cDNA, we inserted the IVS immediately after c.4281 and a second intron after c.2370. The second intron was derived from intron 4 of human HSPA5 (NCBI accession NM_005347) modified so it more closely matched the consensus for eukaryote splice acceptor sites (designated HSPA5 intron 4 v2; Fig. S3). We also examined the effects of a silent mutation (c.1383T>C) designed to disrupt an out-of-frame mini-ORF spanning c.1382–1390 (ATG CCA TAG) that appeared to contribute to bacterial toxicity (slower bacterial growth rate) of a partial-length cDNA fragment. However, this mutation did not impact cDNA stability or plasmid yields of full-length NaV1.6 and was therefore was not included in the final construct. We also made two silent mutations (c.4208A>G, c.4211T>C) to disrupt a putative promoter-like sequence analogous to that discovered in the NaV1.1 cDNA. The combination of these modifications resulted in full-length NaV1.1, NaV1.2, and NaV1.6 cDNAs that were stable in bacteria (TOP10 host strain) grown under usual conditions (Fig. S4). The complete nucleotide sequences of intron stabilized NaV1.1, NaV1.2, and NaV1.6 are presented in Figures S5–S7.

Electrophysiological analysis of intron-stabilized NaV channels

Finally, we compared the functional properties of the original and intron stabilized NaV1.1, NaV1.2, and NaV1.6 cDNAs by performing whole-cell voltage clamp recordings of transiently transfected HEK-293T cells. We observed no differences in overall kinetics of activation or inactivation of whole-cell sodium current for any isoform (Fig. 5). Additionally, we measured voltage dependence of activation and inactivation, recovery from inactivation, and frequency-dependent rundown at 50 Hz and found no differences in functional properties between the NaV channels with or without introns (Table 1, Fig. S8). We concluded that insertion of introns and silent mutations into human NaV1.1, NaV1.2, and NaV1.6 cDNAs had no functional impact on the encoded channels.

Figure 5.

Figure 5

Functional properties of stabilized brain NaVchannel in heterologous cells. A, whole-cell sodium current traces recorded from cells transiently expressing either unstable original (left, black traces) or stabilized (right, red traces) cDNA constructs encoding NaV1.1, NaV1.2, and NaV1.6. Currents were elicited from a holding potential of –120 mV with 500 ms depolarizing voltage steps between –120 and +60 mV and normalized to the peak current. All traces represent the average of 14–16 recordings. B, overlay of voltage dependence of steady-state inactivation (left) and activation (right) curves recorded from cells expressing either unstable original (black symbols and lines) or stabilized (red symbols and lines) cDNAs encoding NaV1.1, NaV1.2, and NaV1.6. Symbols represent mean values with SEM. Lines represent averaged Boltzmann fits to the data. Quantitative data for the kinetics and voltage dependence of activation and inactivation are presented in Table 1.

Table 1.

Biophysical properties of original and stabilized human NaV channels

Property Original n Stabilized n
Human NaV1.1
V1/2 activation (mV) −22.4 ± 0.9 14 −23.3 ± 1.7 14
Slope (k) 6.5 ± 0.1 14 6.4 ± 0.2 14
V1/2 inactivation (mV) −56.9 ± 1.1 14 −58.6 ± 1.5 14
Slope (k) −4.9 ± 0.2 14 −4.5 ± 0.1 14
Recovery tau fast (ms) 1.5 ± 0.1 12 1.5 ± 0.1 12
% Tau fast 77.5 ± 3.0 12 77.5 ± 3.0 12
Recovery tau slow (ms) 243.9 ± 14.1 12 259.1 ± 14.9 12
Inactivation tau 0 mV (ms) 0.40 ± 0.03 14 0.37 ± 0.03 14
Frequency-dependent rundown 50 Hz (P300/P1) 0.79 ± 0.04 12 0.81 ± 0.04 14
Human NaV1.2
V1/2 activation (mV) −24.4 ± 1.5 14 −25.3 ± 1.1 14
Slope (k) 6.7 ± 0.2 14 6.1 ± 0.2 14
V1/2 inactivation (mV) −68.0 ± 1.5 14 −66.8 ± 1.7 14
Slope (k) −6.0 ± 0.4 14 −5.9 ± 0.1 14
Recovery tau fast (ms) 1.7 ± 0.1 12 1.6 ± 0.1 15
% Tau fast 81.2 ± 2.3 12 83.3 ± 2.3 15
Recovery tau slow (ms) 263.9 ± 38.6 12 264.7 ± 27.8 15
Inactivation tau 0 mV (ms) 0.42 ± 0.03 12 0.39 ± 0.02 14
Frequency-dependent rundown 50 Hz (P300/P1) 0.70 ± 0.04 13 0.72 ± 0.02 14
Human NaV1.6
V1/2 activation (mV) −24.0 ± 0.7 15 −25.5 ± 1.1 16
Slope (k) 6.0 ± 0.2 15 5.7 ± 0.4 16
V1/2 inactivation (mV) −66.5 ± 1.6 15 −66.4 ± 0.8 16
Slope (k) −5.9 ± 0.3 15 −5.9 ± 0.3 16
Recovery tau fast (ms) 1.4 ± 0.1 13 1.5 ± 0.1 14
% Tau fast 81.7 ± 4.1 13 81.7 ± 4.1 14
Recovery tau slow (ms) 240.5 ± 29.3 13 256.0 ± 29.7 14
Inactivation tau 0 mV (ms) 0.51 ± 0.02 15 0.52 ± 0.03 15
Frequency-dependent rundown 50 Hz (P300/P1) 0.82 ± 0.05 13 0.82 ± 0.03 15

Discussion

Recombinant human brain NaV channels are essential molecular tools for determining the functional consequences of disease-causing mutations and for pharmacological studies including drug discovery (10). Unfortunately, use of these molecular reagents is hindered by an intrinsic instability of recombinant NaV channel plasmid in bacteria, which was of unclear origin until our study.

Here, we deduced that the instability of brain NaV channel cDNAs in bacteria correlated with the presence of one or more cryptic promoter-like elements driving reading frames that encode peptides apparently toxic to the transfected cells. We speculate that this is coupled to a negative fitness selection against bacteria carrying intact clones, but a favorable fitness selection for cells carrying clones with interrupted or truncated reading frames. According to this model, the instability of brain NaV cDNAs in bacteria is the result of favorable growth of bacterial clones carrying mutant cDNAs in which the toxic reading frames have been inactivated.

The presence of cryptic bacterial promoter-like elements in unstable recombinant human and viral genes has been well documented. The cloning of human growth hormone cDNA encountered difficulties with propagating clones in bacteria because of an inherent toxicity of the recombinant molecule. The cause of this toxicity was traced to a cryptic promoter that could be neutralized by a single-nucleotide change designed to disrupt a TATA box and this resulted in stable high copy number clones (11). A similar liability has been encountered with certain recombinant viral coding sequences that could be overcome by intron insertion (12, 13). The presence of cryptic bacterial promoters in recombinant cDNAs may be under appreciated and should be considered when troubleshooting unstable low-yield plasmids.

The exact manner in which the expressed fragments of brain NaV channels exert toxic effects in E. coli cells is unknown. We speculate that toxicity may be the result of integration of the products, which contain transmembrane domains, into the bacterial plasma membrane leading to selection against host cells due to membrane stress. It is also possible that the product forms toxic inclusion bodies. We identified a potentially toxic out-of-frame mini-ORF in human NaV1.6 (c. 875–903), but this did not contribute to the overall instability of the full-length cDNA. Small ORFs can promote accumulation of peptidyl-tRNA and inhibition of protein synthesis as has been demonstrated for the bacteriophage lambda two-codon barl minigene (14, 15).

Previous approaches that have successfully stabilized recombinant NaV channel plasmids in bacteria include the use of specialize host cells grown under restricted conditions (3) and the use of codon optimization strategies (4, 5, 6). The approach used by Bertelli et al. (4) to modify human NaV1.1 incorporated codon changes that mirrored those found in human NaV1.5, a cDNA that is more stable in bacteria. Inspection of their optimized NaV1.1 sequence revealed strategic single-nucleotide changes that inadvertently disrupted specific promoter-like elements including two modifications to the -10 box (c.900T>C, c.903T>C) in cassette 1, single-nucleotide substitutions in the -35 box (c.4158C>T) and -10 box (c.4182T>C) in cassette 3, and changes to the predicted Shine–Dalgarno sequence in cassette 3 (c.4482A>G, c.4485T>G). These modifications are likely reasons for the stabilization of their plasmid. Codon optimization of human NaV1.6 (5) and NaV1.2 (6) may have also inadvertently disrupted cryptic promoter-like elements, but we did not map these sequences specifically.

Despite the success of codon optimization to stabilize brain NaV channel cDNAs, it may be desirable to maintain the natural codon usage whenever possible because synonymous nucleotide changes may inadvertently disrupt the kinetics of translation required for proper protein folding (7, 8, 9). Rare codons may promote translational pausing that enables cotranslational folding of the nascent polypeptide. Membrane proteins including ion channels may be particularly vulnerable to these effects. For example, codon optimization of the human ether-a-go-go-related gene (hERG) potassium channel alters its biosynthesis in heterologous cells and causes a significant difference in the voltage dependence of activation compared with expression of cDNA with the native coding sequence (16). The effects of widespread synonymous codon modifications may confound efforts to determine the functional consequences of nonsynonymous disease-associated NaV channel variants. The approach we used to stabilize brain NaV channels alleviates this concern, specifically addresses the mechanism responsible for instability, and preserves the functional properties of the original constructs.

Experimental procedures

Assaying plasmid stability and toxicity

We assessed NaV channel plasmid instability primarily by restriction analysis of plasmid DNA isolated from small-volume overnight cultures. Deviations in restriction fragment patterns were used as a qualitative index of plasmid instability, and the proportion of bacterial clones showing disrupted patterns was used to semiquantify the degree of instability. Plasmid DNA was digested for 1 h at 37 °C with NcoI (New England BioLabs) unless otherwise specified in a final volume of 20 μl before evaluating restriction fragment patterns by 1% agarose gel electrophoresis. Overnight growth of Top10 bacterial colonies on agar and in liquid culture was used as a surrogate for plasmid-related toxicity, which was inferred by poor growth or low plasmid yields. Clones with the correct restriction digest pattern were then subjected to Sanger sequencing using a commercial vendor (Eurofins Genomics).

Random mutagenesis to identify stabilizing mutations

Overlapping fragments of the unstable NaV1.1 cassette-3 were amplified in PCRs using Q5 Hot Start High Fidelity 2x Master mix (New England Biolabs) and the primer pairs listed in Table S1. Cycling conditions were: 98 °C for 3 min; followed by 35 cycles of 98 °C for 30 s, 55 °C for 10 s, 72 °C for 45 s; and 72 °C for 10 min. Fragments were gel purified using the NucleoBond Gel/PCR purification system and then ligated into pCR4Blunt-TOPO (Invitrogen/ThermoFisher Scientific). Three microliter of ligation reactions were used to transform chemically competent One Shot Top10 cells (Invitrogen) that were then plated on LB agar supplemented with kanamycin (50 μg/ml). Large kanamycin-resistant colonies were cultured overnight at 37 °C in 3 ml LB medium supplemented with kanamycin (50 μg/ml). Plasmid DNA was isolated using NucleoBond miniprep spin columns and then digested with EcoRI (New England Biolabs). Three clones with a wild-type restriction pattern were sequenced in both directions using the M13F and M13R primers by Sanger sequencing (Eurofins Genomics).

In silico identification of cryptic promoters and reading frames

We identified potential cryptic bacterial promoters using the Berkeley Neural Network Promoter Prediction tool (http://www.fruitfly.org/seq_tools/promoter.html) for prokaryotic promoters on the sense strand with 0.9 as the cutoff score. We also searched the cDNA sequences using BPROM using a threshold for promoters of 0.2 (17) and with the DNA Element Search Tool of pLOT Plasmid Mapper using a cutoff of 0.75 (http://www.plasmidplotter.com/).

Potential ORFs, which were in-frame with the sodium channel ORF, were identified using pLOT Plasmid Mapper's Shine Dalgarno/ORF finder with minimal ORF sizes set to greater than 200 amino acids and a 0.8 cutoff score. Potential out-of-frame toxic mini ORFs were similarly identified by specifying a maximal ORF size of five amino acids.

Site-directed mutagenesis

Primers were designed with the mutation(s) of interest, a minimal 5′ overlap of 20 bp, and a predicted melting temperature (Tm) of 60 °C using custom software. PCR was performed with 10 ng of plasmid DNA template using Q5 Hot Start High-Fidelity 2X Master Mix (New England Biolabs) in a final reaction volume of 25 μl according to the manufacturer's recommendations except that the extension time was set to 80 s per kb for a total of 20 cycles. Plasmid template DNA in the reaction was digested with DpnI (New England Biolabs) for 30 min at 37 °C, then 2.5 μl of digested PCR reactions were used to transform chemically competent Top10 cells using a standard heat shock protocol and selected with 50 μg/ml kanamycin.

Construction of a low cryptic promoter NaV1.1

In silico analysis of high ranking E. coli Sigma70 promoter-like sequences was performed on the first 3213 bp of the wild-type human NaV1.1 cDNA. Cassettes 1 (bp 1–1560) and cassette 2 (bp 1555–3213) were synthesized as double-stranded DNAs (gBlocks, Integrated DNA Technologies) with the top ranking promoter-like elements altered by synonymous mutations and cloned into pCR4-Blunt (Invitrogen). Bacterial clones were screened by restriction digestion and those with correct patterns were analyzed by DNA sequencing. The modified cassettes 1 and 2 were assembled with the stabilized cassette 3 in the pCR4 vector and subsequently subcloned into a mammalian expression plasmid for functional studies (see below). All cDNA constructs were sequenced in their entirety by Sanger sequencing beginning at the promoter through the polyadenylation signal.

Construction of intron-interrupted NaV cDNAs

The introns were PCR amplified using Q5 Hot Start 2x Master Mix (New England BioLabs) with primers designed to contain homology arms to their respective targets. PCR fragments were inserted into linearized NaV channel expression plasmids by Gibson Assembly using NEBuilder HiFi Assembly Mix according to the manufacturer's protocol (New England BioLabs). Introns were inserted after c.2946 (exon 15/16 junction) of NaV1.1, and after c.4551 (exon 25/26 junction) of NaV1.2. NaV1.1 also required silent mutations in a promoter-like element located at c.875–903. In NaV1.6, the first intron was inserted after c.2370, between exons 14 and 15, and the second intron was inserted after c.4370, between exons 22 and 23. Two silent mutations (c.4119A>G, c.4122T>C) were made to a cryptic promoter-like sequence analogous to that of the NaV1.1 cassette 3 promoter. Final constructs were subcloned into mammalian expression plasmids pIR-CMV (NaV1.1, NaV1.2) (18) or pcDNA4/TO (NaV1.6; ThermoFisher). Each construct included an internal ribosome entry sequence (IRES2) after the sodium channel sequence that was followed by the reading frame for the fluorescent protein mScarlet.

Whole-cell voltage clamp and data analysis

Heterologous expression of NaV channels was performed in HEK293T cells (CRL-3216, American Type Culture Collection). Cells were grown in 5% CO2 at 37 °C in Dulbecco modified Eagle's medium supplemented with 10% fetal bovine serum, 2 mM L-glutamine, 50 units/ml penicillin, and 50 μg/ml streptomycin. Cells were transiently cotransfected with original or intron-stabilized NaV1.1, NaV1.2, or NaV1.6, along with the human NaV β1 and β2 subunits (2 μg total plasmid DNA was transfected with a cDNA ratio of 10:1:1 for NaV1.X:β12 subunits) using Qiagen SuperFect reagent (Qiagen). Human β1 and β2 cDNAs were cloned into plasmids encoding the CD8 receptor (CD8-IRES-hβ1) or enhanced green fluorescent protein (EGFP) (EFGP-IRES-hβ2), respectively, as transfection markers, as previously described (19).

Whole-cell voltage clamp recording of heterologous cells was performed as previously described (20, 21). Whole-cell voltage clamp recordings were made at room temperature using an Axopatch 200B amplifier (Molecular Devices). Patch pipettes were pulled from borosilicate glass capillaries (Harvard Apparatus Ltd) with a multistage P-1000 Flaming-Brown micropipette puller (Sutter Instruments Co) and fire-polished using a microforge (Narashige MF-830) to a resistance of 1.0–2.0 MΩ. The pipette solution consisted of (in mM): 10 NaF, 105 CsF, 20 CsCl, 2 EGTA, and 10 HEPES with pH adjusted to 7.35 with CsOH and osmolality adjusted to 300 mOsmol/kg with sucrose. The recording solution was continuously perfused with bath solution containing (in mM): 145 NaCl, 4 KCl, 1.8 CaCl2, 1 MgCl2, 10 glucose and 10 HEPES with pH 7.35, and osmolality 310 mOsmol/kg. A Ag/AgCl pellet served as the reference electrode. All chemicals were purchased from Sigma-Aldrich.

Voltage clamp pulse generation and data collection were done using Clampex 10.4 (Molecular Devices). Whole-cell capacitance was determined by integrating capacitive transients generated by a voltage step from −120 mV to −110 mV filtered at 100 kHz low-pass Bessel filtering. Series resistance was compensated with prediction >70% and correction >90% to assure that the command potential was reached within microseconds with a voltage error <3 mV. Leak currents were subtracted by using an online P/4 procedure. All whole-cell currents were filtered at 5 kHz low-pass Bessel filtering and digitized at 50 kHz. All voltage clamp experiments were conducted at room temperature (20–25 °C).

Data were analyzed using a combination of Clampfit 10.4 (Molecular Devices), Microsoft Excel 2019, and GraphPad Prism 8.4 (GraphPad Software, Inc). Peak current was normalized for cell capacitance and plotted against step voltage to generate a peak current density–voltage relationship. Whole-cell sodium currents were elicited by 500 ms pulses ranging from –120 to 60 mV, followed by a tail pulse to 0 mV, from a holding potential of –120 mV. Whole-cell conductance (GNa) was calculated as GNa = I/(V – Erev), where I is the measured peak current, V is the step potential, and Erev is the calculated sodium reversal potential predicted by linear regression of the I-V curve for each cell. GNa at each voltage step was normalized to the maximum conductance between −80 mV and 40 mV. To calculate voltage dependence of activation (protocol described in figure insets), normalized GNa was plotted against voltage and fitted with the Boltzmann function G/Gmax= (1 + exp[(V – V1/2)/k])−1, where V1/2 indicates the voltage at half-maximal activation and k is a slope factor describing voltage sensitivity of the channel. Voltage dependence of steady-state inactivation was assessed by plotting currents generated by the 0 mV postpulse voltage step normalized to the maximum current against prepulse voltage step from –120 to 10 mV in 10 mV increments. The plot was fitted with the Boltzmann function. Time-dependent recovery from inactivation was evaluated by a two-step protocol. The first pulse elicited currents with a 100 ms pulse to –10 mV from a holding potential of –120 mV to inactivate channels. The second pulse to –10 mV was elicited after varying recovery periods ranging from 1 to 3000 ms. Time-dependent recovery from inactivation was evaluated by fitting peak current recovery with a two-exponential function. Frequency dependent rundown was assessed by 300 pulses (4 ms) to 0 mV elicited at a frequency of 50 Hz.

Results are presented as mean ± SEM. Statistical comparisons were performed using unpaired two-tailed Student's t-test or one-way ANOVA followed by a Tukey post-test. p < 0.05 was considered statistically significant.

Resource availability

The stable full-length sodium channel vectors generated in this study have been made available through the Addgene repository (accession numbers: NaV1.1 - 162278; NaV1.2 - 162279; NaV1.6 - 16280).

Data availability

All data are presented in the article.

Conflict of interest

A. L. G. serves on a Scientific Advisory Board for Amgen, Inc and has received research grant support from Praxis Precision Medicines, Inc and Merck & Co for unrelated work.

Acknowledgments

The authors thank A. C. Linnenbank for providing software to generate the sodium channel image (Fig. 4).

Author contributions

J.-M. D. and C. H. T. performed all the experiments and analyzed the data. All authors contributed to writing the article.

Funding and additional information

This work was supported by National Institutes of Health grant NS108874 (A. L. G.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Edited by Roger Colbran

Footnotes

This article contains supporting information.

Supporting information

Figures S1 to S8 and Tables S1 and S2
mmc1.pdf (784.2KB, pdf)

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Associated Data

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

Supplementary Materials

Figures S1 to S8 and Tables S1 and S2
mmc1.pdf (784.2KB, pdf)

Data Availability Statement

All data are presented in the article.


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