Recombinant Dendroaspis polylepis polylepis Muscarinic toxin alpha

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Description

Introduction to Muscarinic Toxin Alpha

MTα is a 65–66 amino acid peptide belonging to the three-finger toxin (3FTx) family. It was first isolated from Dendroaspis polylepis venom and later recombinantly produced to study its interactions with G protein-coupled receptors (GPCRs) . Unlike α-neurotoxins, MTα does not bind nicotinic receptors but exhibits affinity for mAChR subtypes (M1–M5) and α-adrenoceptors . Recombinant MTα retains the biological activity of the native toxin, enabling standardized research applications.

Key Features:

  • Primary Structure: Contains four disulfide bonds stabilizing its three-loop architecture .

  • Sequence Homology: Shares 60–98% identity with other muscarinic toxins from mamba venoms but differs in critical residues (e.g., Leu-Asn-His at positions 31–33) that influence receptor selectivity .

  • Post-Translational Modifications: Recombinant versions often include tags (e.g., His-tags) for purification, which do not interfere with receptor binding .

Table 1: Binding Affinity of MTα for Human mAChR Subtypes1

Receptor SubtypeInhibition Constant (Ki)pKi Value
M123 nM7.64 ± 0.10
M244 nM7.36 ± 0.06
M33 nM8.46 ± 0.14
M45 nM8.32 ± 0.07
M58 nM8.09 ± 0.07

Mechanism of Action

MTα acts as a non-competitive antagonist at mAChRs and α-adrenoceptors, binding to allosteric sites to modulate receptor activity . Key findings include:

  • Muscarinic Receptor Interaction: Preferentially binds M3 and M4 subtypes with nanomolar affinity, blocking acetylcholine signaling .

  • Adrenoceptor Cross-Reactivity: Binds α2B-adrenoceptors with high affinity (IC50 = 2.3 nM) but shows no activity at β-adrenoceptors .

Table 2: Adrenoceptor Binding Profile of MTα5

Receptor SubtypeIC50 Value
α2B-adrenoceptor2.3 nM
α1A-adrenoceptor>100 nM
β1/β2-adrenoceptorsNo binding

4.1. Receptor Subtype Studies

Recombinant MTα is used to:

  • Map ligand-binding domains of mAChRs and adrenoceptors via mutagenesis .

  • Investigate allosteric modulation of GPCR signaling pathways .

4.2. Drug Development

  • Pain Management: Mambalgins (structurally related to MTα) are being explored as non-opioid analgesics .

  • Neurological Disorders: MTα’s selectivity aids in designing drugs for Alzheimer’s disease and schizophrenia .

Challenges and Limitations

  • Selectivity Issues: MTα’s broad receptor interaction profile complicates its use as a subtype-specific probe .

  • Production Complexity: Recombinant expression requires optimization to preserve disulfide bond formation and tertiary structure .

Future Directions

  • Engineered Variants: Modifying loops 1–3 (e.g., Ile-Val-Pro substitutions) to enhance selectivity for M3/M4 or α2B receptors .

  • Antivenom Development: Immunoprofiling studies using recombinant MTα improve antibody neutralization strategies .

Product Specs

Form
Lyophilized powder. We will ship the available format, but please specify any format requirements when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult local distributors for specifics. Proteins are shipped with blue ice packs by default. Request dry ice in advance (extra fees apply).
Notes
Avoid repeated freezing and thawing. 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. Default 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. Specify your desired tag type, and we will prioritize it if possible.
Synonyms
Muscarinic toxin alpha; MT-alpha
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-66
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Dendroaspis polylepis polylepis (Black mamba)
Target Protein Sequence
LTCVTSKSIF GITTENCPDG QNLCFKKWYY LNHRYSDITW GCAATCPKPT NVRETIHCCE TDKCNE
Uniprot No.

Target Background

Function
Selectively binds with high affinity to the α2B-adrenoceptor (ADRA2B). Binds reversibly and non-competitively to ADRA2B. Reported to bind with high affinity to all muscarinic receptor subtypes (Ki=23 nM (CHRM1), 44 nM (CHRM2), 3 nM (CHRM3), 5 nM (CHRM4), and 8 nM (CHRM5)), but these values lack further supporting data.
Protein Families
Snake three-finger toxin family, Short-chain subfamily, Aminergic toxin sub-subfamily
Subcellular Location
Secreted.
Tissue Specificity
Expressed by the venom gland.

Q&A

What is Muscarinic toxin alpha and what is its basic structure?

Muscarinic toxin alpha (MTα) is a three-finger folded peptide isolated from the venom of the black mamba (Dendroaspis polylepis). It consists of 65-66 amino acids with four disulfide bonds, sharing 60-98% sequence identity with other muscarinic toxins isolated from mamba venoms . MTα belongs to a family of snake venom components that includes approximately 180 other peptides such as alpha-neurotoxins, cardiotoxins, and fasciculins, but unlike alpha-neurotoxins, muscarinic toxins do not bind to nicotinic acetylcholine receptors .

How does MTα differ structurally from other muscarinic toxins?

MTα differs from other muscarinic toxins primarily in specific amino acid regions that dictate receptor selectivity. For example, MTα and muscarinic toxin MT4 from Dendroaspis angusticeps differ only in a region of three amino acids (residues 31-33), which are Leu-Asn-His in MTα and Ile-Val-Pro in MT4 . This small difference causes a pronounced shift in subtype selectivity, with MTα showing high affinity to all muscarinic subtypes while MT4 has more selective binding properties . This structural variation highlights the significance of specific amino acid residues in determining receptor interaction profiles.

How selective is MTα for different receptor subtypes?

Recent research has revealed surprising selectivity patterns for MTα. While initially named for its interaction with muscarinic acetylcholine receptors, MTα has been found to bind with higher affinity to the human α2B-adrenoceptor (IC50 = 3.2 nM) than to muscarinic receptors . In binding assays with human muscarinic receptors of subtypes m1-m5, MTα demonstrated varying affinities with Ki values of 23 nM (m1), 44 nM (m2), 3 nM (m3), 5 nM (m4), and 8 nM (m5) . Functional studies have confirmed that MTα acts as a selective antagonist of the α2B-adrenoceptor without affecting the responses of α2A-, α2C-, α1A-, or α1B-adrenoceptors .

What experimental approaches are used to determine MTα receptor binding kinetics?

Researchers typically employ several complementary approaches to characterize MTα binding:

  • Radioligand displacement binding assays using receptor-expressing systems (e.g., Sf9 insect cells or CHO cells) with appropriate radioligands such as [³H]RX821002 for adrenoceptors or [³H]-N-methylscopolamine for muscarinic receptors .

  • Kinetic binding experiments to determine association and dissociation rates. For MTα, these studies have revealed relatively slow binding kinetics, requiring approximately 60 minutes to reach equilibrium with the α2B-adrenoceptor .

  • Functional calcium mobilization assays that measure the antagonistic effect of MTα on receptor-induced increases in intracellular Ca²⁺ concentrations .

  • Saturation binding protocols to determine the mode of inhibition. These experiments have shown that MTα acts through a non-competitive mechanism, suppressing maximum radioligand binding without substantially affecting binding affinity .

What expression systems are most effective for recombinant production of MTα?

While the search results don't explicitly detail the expression systems for recombinant MTα, similar three-finger toxins have been successfully produced in several systems:

  • Bacterial expression systems (E. coli): These systems require careful optimization of disulfide bond formation, as MTα contains four critical disulfide bridges essential for its three-finger fold structure. Specialized E. coli strains with enhanced disulfide bond formation capacity or fusion with thioredoxin may improve proper folding.

  • Yeast expression systems (P. pastoris): These can provide proper post-translational modifications and disulfide bond formation, potentially yielding correctly folded toxin with higher yield than bacterial systems.

  • Mammalian cell expression: For studies requiring mammalian glycosylation patterns, CHO or HEK293 cells may be employed, though yields are typically lower than microbial systems.

Selection of the appropriate expression system should balance the requirements for proper folding, post-translational modifications, yield, and intended experimental applications.

What purification strategies yield the highest purity and biological activity for recombinant MTα?

Effective purification of recombinant MTα typically involves a multi-step chromatography approach:

  • Initial capture using affinity chromatography (if expressed with an affinity tag) or ion exchange chromatography based on MTα's charge properties.

  • Intermediate purification using size-exclusion chromatography to separate correctly folded monomeric toxin from aggregates and other impurities.

  • Polishing steps like reverse-phase HPLC to achieve final high purity.

  • Quality control assessment of the purified recombinant toxin by comparing its receptor binding profile with native toxin using radioligand binding assays and functional calcium mobilization assays .

Critical factors that should be monitored throughout purification include the preservation of disulfide bonds, prevention of aggregation, and maintenance of the proper three-dimensional structure essential for receptor binding activity.

How can the selective binding properties of recombinant MTα be exploited for receptor subtype characterization?

The unique receptor selectivity profile of MTα provides valuable research applications:

  • As a pharmacological tool for selective blocking of α2B-adrenoceptors in functional studies, given its high selectivity (IC50 = 3.2 nM) and non-competitive mode of action.

  • For receptor distribution mapping through radioligand binding studies in tissue samples, leveraging the high receptor subtype selectivity to distinguish between closely related receptor subtypes.

  • In structural biology studies investigating the binding interfaces between three-finger toxins and G-protein coupled receptors, potentially using recombinant MTα variants with strategic amino acid substitutions to probe structure-function relationships.

  • For development of selective pharmacological probes through fluorescent or biotinylated derivatives of recombinant MTα, enabling visualization of receptor distribution in cellular and tissue contexts.

What are the current methodological challenges in studying the non-competitive binding mechanism of MTα?

Research on MTα's non-competitive binding mechanism faces several challenges:

  • Identifying the precise allosteric binding site on the receptor requires sophisticated approaches combining site-directed mutagenesis, crosslinking studies, and structural biology techniques such as X-ray crystallography or cryo-EM.

  • Distinguishing between different possible mechanisms of non-competitive inhibition (pure allosteric modulation vs. induced conformational changes) requires detailed kinetic studies and potentially computational modeling approaches.

  • Determining whether the binding mechanism varies between different receptor subtypes necessitates comparative binding studies across multiple receptor systems under identical experimental conditions.

  • Evaluating the physiological relevance of the slow binding kinetics observed for MTα (requiring approximately 60 minutes to reach equilibrium) presents challenges for experimental design in functional studies.

How does recombinant MTα compare functionally to native toxin and other muscarinic toxins?

The functional comparison between recombinant and native MTα, as well as between different muscarinic toxins, reveals interesting patterns:

  • Both venomous MTα and synthetic MTα inhibit α2B-adrenoceptor-induced increases in intracellular Ca²⁺ in a concentration-dependent manner , suggesting that properly produced recombinant toxin can faithfully reproduce the pharmacological properties of native toxin.

  • MTα differs significantly from other muscarinic toxins in its receptor selectivity profile. While MT7 is highly selective for M1 muscarinic receptors, MTα shows broader selectivity for muscarinic receptors but higher affinity for α2B-adrenoceptors .

  • The selectivity shift resulting from the three-amino-acid difference between MTα and MT4 (from Dendroaspis angusticeps) provides valuable insights into structure-activity relationships of these toxins .

ToxinHighest Affinity TargetsNotable Selectivity Features
MTαα2B-adrenoceptor (IC50 = 3.2 nM)More potent for α2B-adrenoceptor than muscarinic receptors
MT1α2B-adrenoceptor (IC50 = 2.3 nM)Higher affinity for α2B-adrenoceptor than for muscarinic receptors
MT3Broad spectrum bindingHigh affinity (IC50 = 1-10 nM) for M4 mAChR, α1A-, α1D-, and α2A-adrenoceptors
MT7M1 mAChRHighly selective for M1 muscarinic receptors

What evolutionary insights can be gained from studying the receptor selectivity of MTα and related toxins?

Studying MTα and related muscarinic toxins provides valuable evolutionary insights:

  • The structural similarity yet functional diversity among muscarinic toxins suggests evolutionary divergence through selective pressure on key amino acid positions, particularly in receptor-binding regions.

  • The unexpected high affinity of MTα for adrenergic receptors despite being named a "muscarinic toxin" highlights the evolutionary relationship between different G-protein coupled receptor families and suggests convergent evolution in binding interfaces.

  • Comparing the sequences of MTα with other three-finger toxins (approximately 180 similar components have been identified in snake venoms) can illuminate evolutionary pathways and adaptation strategies in venom evolution.

  • The specific three-amino-acid region (residues 31-33) that differs between MTα and MT4, causing dramatic shifts in receptor selectivity , represents a potential "hot spot" for evolutionary adaptation and toxin diversification.

What are the critical controls needed when using recombinant MTα in receptor binding studies?

When designing experiments with recombinant MTα, researchers should include several critical controls:

  • Native toxin comparison: Include native MTα as a positive control to validate that the recombinant version exhibits authentic binding properties and potency.

  • Non-specific binding controls: Use high concentrations of non-selective antagonists such as phentolamine (for adrenoceptors) or atropine (for muscarinic receptors) to determine non-specific binding in radioligand binding assays .

  • Specificity controls: Test recombinant MTα against multiple receptor subtypes, including those it should not bind to (e.g., β1- or β2-adrenoceptors) , to confirm selectivity.

  • Time-dependent controls: Given the slow binding kinetics of MTα, include time-course experiments to ensure equilibrium is reached (approximately 60 minutes for α2B-adrenoceptors) .

  • Functional validation: Complement binding studies with functional assays (e.g., calcium mobilization) to confirm that binding translates to functional antagonism .

How should the slow binding kinetics of MTα be accounted for in experimental design?

The slow binding kinetics of MTα (requiring approximately 60 minutes to reach equilibrium with α2B-adrenoceptors) necessitates specific experimental considerations:

  • Pre-incubation protocols: Allow sufficient pre-incubation time (60+ minutes) when using MTα as an antagonist in functional studies to ensure complete receptor occupancy.

  • Kinetic binding experiments: Design time-course experiments with multiple time points extending beyond 60 minutes to accurately capture association kinetics.

  • Washout studies: Include extended washout periods when assessing reversibility, as extensive washing is needed for full recovery of binding sites at high toxin concentrations .

  • Temperature control: Maintain consistent temperature during binding experiments, as binding kinetics can be temperature-dependent.

  • Comparison with fast-binding ligands: Include reference compounds with known fast binding kinetics to distinguish between binding rate limitations and other experimental factors.

Which amino acid residues in MTα are critical for its selective binding to α2B-adrenoceptors?

While the search results don't explicitly identify all critical residues for α2B-adrenoceptor binding, we can infer some important structural features:

What structural modifications of recombinant MTα can enhance its utility as a research tool?

Several strategic modifications could enhance recombinant MTα's research applications:

  • Fluorescent labeling: Addition of fluorophores at non-critical positions could create valuable probes for receptor localization and binding studies without disrupting receptor interactions.

  • Affinity-tag engineering: Development of reversibly tagged versions for simplified purification while maintaining native-like activity after tag removal.

  • Disulfide-stabilized variants: Engineering additional stabilizing elements to improve shelf-life and stability under experimental conditions.

  • Residue substitutions: Creating variants with enhanced selectivity based on structure-activity relationship studies, potentially increasing specificity for either adrenergic or muscarinic receptors.

  • Biotinylated derivatives: Developing biotinylated MTα for streptavidin-based detection systems and pull-down assays to study receptor complexes.

What methodologies are being developed for using MTα-derived peptides in receptor-targeted research?

Several methodological approaches are being explored for MTα-derived peptides:

  • Development of recombinant antibodies against these toxins for research and therapeutic applications, as mentioned in the search results .

  • Creation of MTα-based peptide libraries with systematic modifications to identify minimal functional domains that retain receptor selectivity.

  • Design of chimeric toxins combining structural elements from different muscarinic toxins (e.g., MTα and MT7) to create novel selectivity profiles for specific research applications.

  • Development of radioligand derivatives for receptor quantification and distribution studies, similar to how radioiodinated muscarinic toxin 1 (MT1) has been used for autoradiographic investigation of m1-receptors in brain .

How can recombinant MTα contribute to understanding the pathophysiology of adrenoceptor-mediated conditions?

The selective antagonistic properties of recombinant MTα provide unique research opportunities:

  • As a selective α2B-adrenoceptor antagonist, MTα can help delineate the specific role of this receptor subtype in various physiological and pathological processes, including vascular regulation, platelet activation, and central nervous system functions.

  • The non-competitive binding mechanism of MTα offers an alternative approach to study receptor signaling compared to competitive antagonists, potentially revealing different aspects of receptor function.

  • MTα's ability to distinguish between closely related adrenoceptor subtypes could help clarify subtype-specific contributions to complex physiological responses that involve multiple adrenoceptors.

  • Combining MTα with other subtype-selective toxins could enable comprehensive mapping of receptor subtype contributions in complex tissues and physiological systems.

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