Recombinant Heterometrus spinifer Potassium channel toxin alpha-KTx 6.13

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Description

Table 1: Comparison of Alpha-KTx 6.13 with Related Scorpion Toxins

FeatureAlpha-KTx 6.13MeKTx13-3 (α-KTx 3.19)HsTX1 (α-KTx 6.3)
SourceHeterometrus spiniferMesobuthus eupeusHeterometrus spinifer
Target Kv channelsKv1.3 > Kv1.1 Kv1.1 > Kv1.3 Kv1.3
IC50 (Kv1.3)~1–10 nM*~10 nM ~0.3 nM
Disulfide bonds334

*Hypothetical values based on homologous toxins .

Mechanism of Action

Alpha-KTx 6.13 blocks Kv1.3 channels by:

  1. Pore occlusion: Lys27 inserts into the channel’s selectivity filter (GYGD motif), physically obstructing ion flow .

  2. Electrostatic interactions: Positively charged residues (e.g., Arg, Lys) interact with negatively charged residues (Asp433, Glu420) in the channel’s outer vestibule .

  3. Selectivity determinants: Residues at positions 10, 26, and 34 dictate preferential binding to Kv1.3 over Kv1.1 or Kv1.2 .

Recombinant Production and Engineering

Recombinant alpha-KTx 6.13 is typically produced via:

  • Expression systems: Escherichia coli with fusion tags (e.g., thioredoxin) for solubility .

  • Purification: Reverse-phase HPLC yields >95% purity .

  • Modifications:

    • C-terminal amidation: Enhances potency by ~5-fold (e.g., HsTX1) .

    • Mutagenesis: Substitutions at residues 12, 15, and 18 (e.g., Q12A, K15A, K18A) reduce off-target effects on Kv1.1/1.2 while preserving Kv1.3 affinity .

Table 2: Pharmacological Profile of Recombinant Alpha-KTx 6.13 Derivatives

DerivativeKv1.1 IC50 (nM)Kv1.3 IC50 (nM)Selectivity Ratio (Kv1.3/Kv1.1)
Wild-type~2~10.5
Q12A/K15A/K18A/D33R~550~1055

Data adapted from analogous toxins .

Therapeutic Potential

Kv1.3 inhibitors like alpha-KTx 6.13 are investigated for:

  • Autoimmune diseases: Suppression of effector memory T cells in multiple sclerosis, psoriasis, and rheumatoid arthritis .

  • Cancer: Preclinical studies suggest Kv1.3 blockade induces apoptosis in leukemia cells .

Research Gaps and Future Directions

  • Structural data: No crystal structure of alpha-KTx 6.13 in complex with Kv1.3 is available.

  • In vivo efficacy: Limited data on pharmacokinetics and toxicity profiles.

  • Clinical translation: Only HsTX1 (Dalazatide) has entered phase II trials .

Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult local distributors for specifics. Proteins are shipped with blue ice packs. Request dry ice in advance (extra fees apply).
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer, temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. If you have a specific tag type requirement, please inform us and we will prioritize developing it.
Synonyms
Potassium channel toxin alpha-KTx 6.13; Spinoxin
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-34
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Heterometrus spinifer (Asia giant forest scorpion) (Malaysian black scorpion)
Target Protein Sequence
IRCSGSRDCY SPCMKQTGCP NAKCINKSCK CYGC
Uniprot No.

Target Background

Function
Antagonist of Kv1/KCNA potassium channels. Weakly interacts with and inhibits muscle-type nicotinic acetylcholine receptors (nAChR), inhibiting alpha-bungarotoxin binding (IC50=490 nM).
Protein Families
Short scorpion toxin superfamily, Potassium channel inhibitor family, Alpha-KTx 06 subfamily
Subcellular Location
Secreted.
Tissue Specificity
Expressed by the venom gland.

Q&A

What is the molecular structure of Heterometrus spinifer Potassium channel toxin alpha-KTx 6.13?

Alpha-KTx 6.13 (Spinoxin) is a 34-residue peptide neurotoxin cross-linked by four disulfide bridges. The toxin belongs to the alpha-KTx 6 subfamily of scorpion toxins that target voltage-gated potassium channels. Structurally, Spinoxin contains a high proportion of basic amino acids, which contribute to its positive electrostatic surface potential that facilitates interaction with potassium channels .

The peptide's four disulfide bridges form a compact three-dimensional structure that is critical for its biological activity. These cysteine-rich motifs are characteristic of many scorpion toxins and provide structural stability while positioning key functional residues for optimal channel interaction .

How potent is Spinoxin against Kv1.3 channels and what makes it valuable for research?

Spinoxin exhibits high potency against Kv1.3 potassium channels with an IC50 of 63 nM. This makes it a valuable research tool for studying these channels, which are implicated in various autoimmune disorders and certain cancers. The specificity and potency of Spinoxin allow researchers to selectively target Kv1.3 channels in experimental settings .

Compared to other potassium channel blockers, Spinoxin's well-characterized structure-function relationship provides an excellent template for designing synthetic channel inhibitors, making it particularly valuable for drug discovery research targeting autoimmune conditions .

What expression systems are most effective for recombinant Spinoxin production?

Bacterial Expression Systems:

  • E. coli systems incorporating thioredoxin or glutathione S-transferase fusion tags have shown success for disulfide-rich toxins similar to Spinoxin.

  • Methodology: The gene encoding Spinoxin should be codon-optimized for E. coli expression and cloned into vectors containing an oxidizing environment promoter.

Yeast Expression Systems:

  • Pichia pastoris offers advantages for disulfide bond formation due to its eukaryotic secretory pathway.

  • Advantage: Higher yields of correctly folded protein compared to bacterial systems.

Cell-Free Expression Systems:

  • Allow for rapid screening of different folding conditions without the constraints of cell viability.

  • Enable direct incorporation of labeled amino acids for structural studies.

How can researchers validate proper disulfide bond formation in recombinant Spinoxin?

Proper disulfide bond formation is critical for the biological activity of Spinoxin. The following methodologies should be employed to ensure correct disulfide pairing:

  • Ellman's Reagent Analysis: Quantifies free thiol groups to confirm complete disulfide formation.

  • Mass Spectrometry:

    • Intact Mass Analysis: Compare experimental mass with theoretical mass.

    • Peptide Mapping: Analyze tryptic digests to confirm disulfide connectivity.

  • Circular Dichroism (CD) Spectroscopy: Compare spectral characteristics with native toxin to verify secondary structure integrity.

  • Functional Assays: Ultimately, validate correct folding through Kv1.3 inhibition assays, as improperly formed disulfide bonds will reduce biological activity.

How is alanine scanning mutagenesis used to identify active sites in Spinoxin?

Alanine scanning mutagenesis has been instrumental in identifying the critical residues of Spinoxin involved in Kv1.3 channel interaction. This methodology involves systematically replacing individual amino acids with alanine and assessing the impact on inhibitory activity.

Methodology:

  • Generate a series of Spinoxin analogues with single alanine substitutions throughout the sequence.

  • Express and purify each analogue using identical conditions.

  • Confirm similar secondary structure and disulfide pairing compared to native Spinoxin.

  • Test each analogue for Kv1.3 channel inhibition using electrophysiological assays.

  • Compare IC50 values to identify critical residues.

Key Findings:
Alanine replacements at positions Lys(23), Asn(26), and Lys(30) resulted in complete loss of activity against Kv1.3 channels, while substitutions at Arg(7), Met(14), Lys(27), and Tyr(32) substantially reduced inhibitory potency. These findings reveal that basic residues (particularly Lys23) play an essential role in the toxin's functional interaction with Kv1.3 channels .

What electrophysiological methods are most reliable for characterizing Spinoxin activity?

Patch Clamp Techniques:

  • Whole-cell configuration: Best for determining IC50 values and inhibition kinetics.

    • Voltage protocol: Hold at -80 mV, step to +40 mV for 200 ms, repeat every 30 seconds.

    • Apply increasing concentrations of Spinoxin (1-1000 nM) to generate dose-response curves.

  • Outside-out patches: Ideal for studying single-channel kinetics of Kv1.3 under Spinoxin influence.

    • Can reveal whether inhibition occurs by pore blockage or modification of gating.

Experimental Considerations:

  • Use standardized cell lines with stable Kv1.3 expression (HEK293 or CHO cells).

  • Maintain consistent recording conditions (temperature, ionic composition).

  • Include positive controls (known Kv1.3 blockers) for comparison.

How can recombinant Spinoxin be used to study the role of Kv1.3 channels in autoimmune disorders?

Kv1.3 channels are upregulated in activated effector memory T cells involved in autoimmune disorders, making them valuable therapeutic targets. Recombinant Spinoxin provides researchers with a precise tool to study these channels.

Methodological Approaches:

  • Ex vivo studies: Isolate T cells from patients with autoimmune conditions and assess the effect of Spinoxin on cellular activation, proliferation, and cytokine production.

  • Animal models of autoimmunity: Administer recombinant Spinoxin to evaluate its ability to:

    • Reduce inflammatory responses

    • Modify disease progression

    • Regulate T cell activity in target tissues

  • Mechanism elucidation: Use Spinoxin alongside patch-clamp recordings to:

    • Identify differences in Kv1.3 channel properties between patient and healthy control cells

    • Correlate channel activity with disease severity

    • Determine the electrophysiological signature of different T cell subsets

What strategies can improve the stability of recombinant Spinoxin for long-term research applications?

Stabilization Methods:

  • Chemical Modifications:

    • N-terminal acetylation or C-terminal amidation to prevent exopeptidase degradation

    • Selective methylation of lysine residues (avoiding key functional residues like Lys23)

  • Formulation Optimization:

    • Buffer composition: Phosphate or HEPES (pH 7.2-7.4) with 150 mM NaCl

    • Addition of glycerol (10-20%) or trehalose (5-10%) as stabilizing agents

    • Inclusion of low concentrations of non-ionic detergents (0.01% Tween-20)

  • Storage Recommendations:

    • Aliquot in low-binding tubes to minimize adsorption to surfaces

    • Flash-freeze in liquid nitrogen and store at -80°C

    • Avoid repeated freeze-thaw cycles (stability decreases by approximately 15% per cycle)

How does Spinoxin compare structurally and functionally to other alpha-KTx scorpion toxins?

Spinoxin (alpha-KTx 6.13) shares structural similarities with other members of the alpha-KTx 6 subfamily while exhibiting distinct functional properties. The table below summarizes key comparisons:

ToxinSourceSize (residues)Kv1.3 IC50Key Structural Features
Spinoxin (α-KTx 6.13)Heterometrus spinifer3463 nMFour disulfide bridges; critical Lys23 residue
Maurotoxin (α-KTx 6.2)Scorpio maurus34180 nMFour disulfide bridges; similar cysteine pattern to Spinoxin
α-KTx 6.10Opistophthalmus carinatus60350 nMExtended C-terminal region; four disulfide bridges

What other bioactive peptides from Heterometrus species have similar research applications?

Heterometrus scorpion venoms contain various bioactive peptides beyond Spinoxin that target ion channels and have research applications:

  • Kappa-KTx 1.3: A 23-residue peptide from H. spinifer that also targets potassium channels but with different subtype selectivity than Spinoxin .

  • Heteroscorpine-1: A 94-amino acid peptide with both K+ channel blocking and antimicrobial activities, offering dual research applications.

  • HsTX1: A Kv1.3 channel inhibitor with potential applications in autoimmune research, structurally distinct from Spinoxin despite targeting the same channel.

This diversity of toxins within Heterometrus venoms provides researchers with a toolkit of molecules for comparative studies of channel structure-function relationships and for developing selective probes for different channel subtypes.

How should researchers design experiments to evaluate Spinoxin selectivity across different potassium channel subtypes?

Recommended Experimental Design:

  • Channel Expression System Selection:

    • Express individual channel subtypes (Kv1.1-Kv1.7, Kv3.1, etc.) in Xenopus oocytes or mammalian cell lines

    • Ensure consistent expression levels by quantifying channel density (e.g., using labeled channel blockers)

  • Cross-Reactivity Testing Protocol:

    • Use two-electrode voltage clamp or patch-clamp recordings

    • Test identical concentration ranges (1-1000 nM) across all channel subtypes

    • Apply consistent voltage protocols optimized for each channel subtype

    • Generate complete dose-response curves for each channel

  • Data Analysis:

    • Calculate IC50 values and Hill coefficients for each channel subtype

    • Determine selectivity indices (ratio of IC50 values relative to Kv1.3)

    • Analyze association/dissociation kinetics to identify binding differences

  • Control Experiments:

    • Include well-characterized channel subtype-selective toxins as positive controls

    • Test a non-functional Spinoxin analogue (e.g., Lys23Ala mutant) as negative control

What controls should be included when using alanine-scanning mutagenesis to study Spinoxin?

Essential Controls for Alanine Scanning Studies:

  • Structural Validation Controls:

    • Circular dichroism (CD) spectroscopy to confirm equivalent secondary structure between wild-type and mutants

    • HPLC retention time comparison to verify similar hydrophobicity profiles

    • Mass spectrometry to confirm proper disulfide formation

  • Functional Controls:

    • Non-active site alanine mutants (to verify that mutations outside binding interface don't affect function)

    • Gradual substitutions (e.g., Lys→Arg→Ala) to distinguish between charge-dependent and structure-dependent effects

    • Concentration range controls (testing sufficiently high concentrations to detect partial activity)

  • Specificity Controls:

    • Test mutants on non-target channels to confirm that selectivity profiles remain consistent

    • Include known Kv1.3 blockers with different binding sites as reference compounds

What are common issues in recombinant Spinoxin expression and how can they be resolved?

Problem: Low Expression Yields

  • Cause: Toxicity to expression host, poor codon usage, or protein misfolding

  • Solution:

    • Use inducible promoters with tight regulation

    • Optimize codon usage for expression host

    • Express as fusion protein with solubility-enhancing tags (MBP, SUMO)

    • Lower induction temperature (16-20°C)

Problem: Incorrect Disulfide Bond Formation

  • Cause: Reducing cytoplasmic environment, improper folding kinetics

  • Solution:

    • Direct secretion to oxidizing periplasmic space

    • Co-express disulfide isomerases (DsbC, PDI)

    • Use controlled oxidative refolding protocols in vitro

    • Consider insect or mammalian expression systems

Problem: Degradation During Purification

  • Cause: Protease activity, aggregation, surface adsorption

  • Solution:

    • Include protease inhibitors in all buffers

    • Add 0.1% BSA as a carrier protein

    • Use low protein-binding materials

    • Minimize freeze-thaw cycles

How can researchers diagnose activity loss in recombinant Spinoxin preparations?

Diagnostic Approach:

  • Structural Integrity Analysis:

    • Mass spectrometry to detect:

      • Oxidation of methionine residues

      • Deamidation of asparagine residues

      • Proteolytic clipping

    • CD spectroscopy to assess secondary structure changes

  • Functional Testing Algorithm:

    • Compare IC50 values against reference standard

    • Analyze Hill coefficient changes (indicator of binding mechanism alteration)

    • Evaluate on/off rates via kinetic measurements

    • Test at higher concentrations to detect partial activity

  • Physical Characterization:

    • Size-exclusion chromatography to detect aggregation

    • Reverse-phase HPLC to assess hydrophobicity changes

    • Isoelectric focusing to identify charge variants

  • Systematic Activity Recovery Attempts:

    • Dialysis against optimized refolding buffer

    • Addition of redox pairs (oxidized/reduced glutathione)

    • pH adjustment to optimize disulfide exchange

How should researchers interpret contradictory results between different functional assays for Spinoxin activity?

When confronted with discrepancies between assay results, researchers should implement a systematic troubleshooting approach:

What statistical approaches are most appropriate for analyzing structure-activity relationships of Spinoxin mutants?

Recommended Statistical Methods:

  • For Comparing Multiple Mutants:

    • One-way ANOVA with post-hoc Tukey's test to identify significant differences between mutants

    • Consider non-parametric alternatives (Kruskal-Wallis) if data violates normality assumptions

    • Sample size recommendation: Minimum n=5 independent experiments per mutant

  • For Structure-Activity Correlations:

    • Multiple linear regression to correlate physicochemical properties with functional parameters

    • Principal component analysis to identify patterns in multidimensional mutation data

    • Hierarchical clustering to group mutants with similar functional profiles

  • For Dose-Response Analysis:

    • Use four-parameter logistic regression rather than linear fits

    • Apply extra sum-of-squares F test to compare IC50 values between mutants

    • Report both potency (IC50) and efficacy (maximum inhibition) parameters

  • Data Visualization Recommendations:

    • Heat maps for comparing multiple mutants across different parameters

    • Radar plots for visualizing multidimensional changes in toxin properties

    • Structure-based color coding to map functional effects onto the toxin structure

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