| Field | Specification |
|---|---|
| Mfr No | |
| Accession Number | |
| Activity | |
| Alternative Names | Conotoxin Bu1.3, BuIA, Alpha-conotoxin BuIA, α3β2, α3β4 nAChRs |
| Concentration | |
| Form | Lyophilized |
| Formulation | |
| Gene ID | |
| Molecular Weight | |
| Product Type | |
| Purity | |
| Reconstitution | |
| Solubility | Centrifuge the vial before adding solvent (10,000 x g for 5 minutes) to spin down all the powder to the bottom of the vial. The lyophilized product may be difficult to visualize. Add solvent directly to the centrifuged vial. Tap the vial to aid in dissolving the lyophilized product. Tilt and gently roll the liquid over the walls of the vial. Avoid vigorous vortexing. Light vortexing for up to 3 seconds is acceptable if needed. The product is soluble in pure water at high micromolar concentrations (100 µM - 1 mM). For long-term storage in solution, we recommend preparing a stock solution by dissolving the product in double-distilled water (ddH2O) at a concentration between 100-1000x of the final working concentration. Divide the stock solution into small aliquots and store at -20°C. Before use, thaw the relevant vial(s) and dilute to the desired working concentration in your working buffer. Centrifuge all product preparations before use. It is recommended to prepare fresh solutions in working buffers just before use. Avoid multiple freeze-thaw cycles to maintain biological activity. |
| Source | Synthetic peptide |
| Species | |
| Storage | |
| Target |
Overview
α-Conotoxin BuIA is a research-grade protein/peptide reagent used in research settings. It is commonly applied as a tool reagent related to α6/α3β2β3, α3β2, and α3β4 nAChRs biology and/or assay development. It is supplied in Lyophilized format to support flexible downstream use in RUO workflows. Researchers commonly pair it with applications such as Electrophysiology.
Key elements and design rationale
- Molecular identity: MW: 1311.6 Da, Formula: C54H82N14O16S4.
- Source / origin: Conus bullatus (Bubble cone).
- Quality attributes: Purity: ≥98% (HPLC); Bioassay tested: Yes; Sterile / endotoxin-free: No.
Modifications
Disulfide bonds between: Cys2-Cys8, Cys3-Cys13 Cys13 - C-terminal amidation
When used as a biochemical or pharmacological tool, results are best interpreted relative to the experimental system (species, expression level, and assay readout) and with appropriate negative and competition-style controls where relevant. This product is intended for research use only.
Biological background
α-Conotoxin BuIA is a 13 amino acid peptidyl toxin that was originally isolated from the fish-eating snail, Conus bullatus1. This toxin exhibits strong antagonistic activity at α6/α3β2β3, α3β2, and α3β4 nicotinic acetylcholine receptors (nAChRs) and has the unique ability to kinetically discriminate between the β2 and β4-containing receptor subtypes, as the off-rates are rapid for β2-subunit, but very slow for β4-containing nAChRs. α-Conotoxin BuIA is a member of the A-superfamily of conotoxins and possess an unusual 4/4 disulfide scaffold. This toxin appears to be a valuable probe to distinguish among nAChRs containing different α and β subunits1-4.nAChRs are pentameric ligand-gated ion channels that are critically important for neuronal survival and cognitive function, as well as regulation of neurodegenerative diseases, including Alzheimer's and Parkinson's. The nAChR subtypes share a common basic structure, but their biophysical and pharmacological properties depend on their subunit composition. Thus, the subunit makeup of the nAChR subtypes is central to understanding their function in the nervous system and for discovering new subtype-selective drugs5-7.
Research relevance and current trends
- Using high-specificity ligands, toxins, and engineered peptides to dissect closely related receptor/channel subtypes and signaling microdomains.
- Pairing labeled (e.g., fluorescent) proteins/peptides with advanced imaging to map surface expression, trafficking, and nanoscale organization.
- Increasing emphasis on reproducibility through standardized characterization (identity, purity, and lot QC) and transparent reporting of reagent attributes.
Common research applications
- Electrophysiology: commonly used to compare signal, binding, or functional readouts across conditions without implying a specific protocol.
Across these use cases, changes in signal or functional readout are generally interpreted as evidence of differences in target abundance, accessibility, or engagement, but alternative explanations (matrix effects, off-target interactions, or assay artifacts) should be considered.
Notes for experimental interpretation
- Assay context matters: binding assays, functional modulation, and detection workflows can yield different readouts even for the same target system.
- Target complexity: closely related family members, splice variants, and post-translational modifications can influence apparent specificity and potency.
- Matrix and sample effects: buffer composition, detergents, and biological matrices may alter stability or apparent activity; interpret with appropriate controls.
- Control concepts: include negative controls and orthogonal validation (e.g., genetic perturbation or alternative reagents) to support robust interpretation.
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Ning, H
. et al. (2021) J. Neurochem., 159, 90.
Azam, L.
et al. (2005) J Biol Chem., 280, 80.
Chi, S-W.
et al. (2006) Biochem. Biophys. Res. Commun., 349, 1228.
Kim, H-W. and McIntosh, J.M
. et al. (2012) FASEB J.,26, 4102.
Shiembob, D. L
. et al. (2006) Biochemistry, 2006, 45, 11200.
Zoli, M
. et al. (2015) Neuropharmacology, 96, 302.
Gotti, C.
et al. (2009) Biochem. Pharmacol., 78, 703.
Levin, E. D
. et al. (2006) Psychopharmacology, 184, 523.