NALCN Antibody, Biotin conjugated is a mouse-derived monoclonal antibody (IgG1 isotype) targeting the cytoplasmic C-terminal region (amino acids 1659–1738) of rat NALCN . Biotin conjugation enables sensitive detection via streptavidin-linked assays (e.g., streptavidin-HRP or fluorescent streptavidin conjugates) .
Sensitivity: 1 μg/ml detects NALCN in 20 μg of rat brain lysate .
Validation: A single band at ~200 kDa confirms specificity (Fig. S6A in ).
Utility: Used to localize NALCN in neuronal cells, aiding studies on its role in regulating resting membrane potentials .
Functional Role of NALCN: NALCN forms a sodium leak conductance critical for maintaining neuronal excitability .
Antibody Utility: This antibody has been employed to study NALCN’s interaction with SNARE proteins (e.g., syntaxin and SNAP25), which modulate its activity .
Structural Insights: Co-purification experiments show that UNC80 (a NALCN-associated protein) interacts with NALCN’s N-terminal half , while STX1A-SNAP25 bind to its DII-DIII linker .
| Vendor | Catalog Number | Conjugate | Price (100 μg) |
|---|---|---|---|
| Antibodies-Online | ABIN2483029 | Biotin | $463 |
| StressMarq | SMC-417 | Unconjugated | Available on request |
| Sigma-Aldrich | SAB5200683 | Biotin | $463 |
NALCN is a voltage-independent, cation-nonselective channel permeable to sodium, potassium, and calcium ions. It regulates resting membrane potential and controls neuronal excitability. Neuropeptides such as neurotensin and substance P (SP) stimulate action potential firing by activating NALCN via a Src family kinase-dependent pathway. Beyond its baseline activity, NALCN is modulated by various GPCRs. NALCN is essential for normal respiratory rhythm and neonatal survival, and it contributes to systemic osmoregulation by controlling serum sodium concentration. Furthermore, NALCN plays a role in substance P-induced depolarization and regulation of intestinal pacemaking activity in interstitial cells of Cajal. It is critical for maintaining spontaneous firing of substantia nigra pars reticulata (SNr) neurons and for the physiological modulation of SNr neuron excitability.
NALCN Gene Function and Associated Diseases: The following studies highlight the role of NALCN and its associated mutations in various neurological and developmental disorders:
NALCN is a voltage-independent, non-selective cation channel belonging to the family of voltage-gated sodium and calcium channels. It plays a vital role in regulating electrical activity in neurons and other excitable cells . The functional NALCN typically exists as part of a core complex consisting of NALCN itself along with UNC79, UNC80, and FAM155A proteins . This complex maintains resting membrane potential and contributes to the regulation of neuronal excitability.
The NALCN protein has a molecular weight of approximately 200 kDa when detected by Western blotting . Mutations in NALCN or its auxiliary proteins can lead to severe neurodevelopmental disorders, underscoring its physiological importance . Recent research has revealed that NALCN function can be inhibited by SNARE complex proteins, specifically syntaxin (STX1A) and SNAP25, suggesting a novel regulatory mechanism for neuronal excitability .
Biotin-conjugated NALCN antibodies serve multiple critical research applications:
Western Blotting (WB): Enables detection and quantification of NALCN protein expression, with expected band size of approximately 200 kDa .
Immunocytochemistry (ICC): Allows visualization of NALCN localization in cultured cells .
Immunofluorescence (IF): Permits subcellular localization studies of NALCN in tissue sections or cultured cells .
Protein Interaction Studies: Can be utilized in co-immunoprecipitation experiments to investigate NALCN interactions with other proteins, such as SNARE complex components .
Streptavidin-Based Detection: The biotin conjugation enables sensitive detection using streptavidin-coupled reporter systems, similar to those used in ELISA methodologies .
The biotin conjugation specifically enhances detection sensitivity through avidin/streptavidin affinity systems, allowing for signal amplification and improved visualization of low-abundance NALCN protein.
Biotin-conjugated NALCN antibodies require specific handling protocols to maintain their functionality:
Storage Temperature: Store at -20°C for long-term preservation of activity. Avoid repeated freeze-thaw cycles by aliquoting the antibody before freezing.
Working Dilutions: For Western blotting, a typical working dilution ranges from 1:500 to 1:2000 depending on protein abundance and detection system sensitivity .
Buffer Compatibility: These antibodies typically perform optimally in Tris-buffered saline (TBS) with 0.1% Tween-20 for Western blotting applications.
Stability Considerations: Biotin conjugation may affect long-term stability. Monthly activity testing is recommended for antibodies stored longer than 6 months.
Handling Precautions: Minimize exposure to light when working with fluorescently labeled secondary detection systems to prevent photobleaching of the fluorophore.
Proper storage and handling significantly impacts experimental reproducibility and reliability, particularly in complex applications like protein interaction studies.
Recent research has revealed that SNARE complex proteins (STX1A and SNAP25) inhibit NALCN currents, suggesting a direct regulatory mechanism . Biotin-conjugated NALCN antibodies provide valuable tools for investigating these interactions:
Co-immunoprecipitation Studies: Biotin-conjugated NALCN antibodies can be immobilized on streptavidin-coated beads to pull down NALCN and associated proteins. This approach revealed that both STX1A and SNAP25 co-purify with NALCN, suggesting stable complex formation .
Proximity Ligation Assays: These antibodies can be used to visualize protein-protein interactions in situ by combining with antibodies against SNARE proteins.
Crosslinking Mass Spectrometry: As demonstrated in research, crosslinking followed by mass spectrometry using purified NALCN-FAM155A-STX1A-SNAP25 complex can identify specific interaction domains .
Functional Correlation Studies: Combining antibody-based detection with electrophysiological measurements allows researchers to correlate protein interaction with functional outcomes, as shown in studies where STX1A-SNAP25 inhibited NALCN currents .
The experimental data suggests that STX1A alone inhibits NALCN currents, but this inhibition is potentiated when STX1A is combined with SNAP25, while SNAP25 alone has no discernible effect . This indicates a complex interaction mechanism that requires further investigation.
Understanding the structural basis of NALCN interactions requires sophisticated methodological approaches:
Domain-Specific Antibodies: Using antibodies like the one targeting amino acids 1659-1738 of the cytoplasmic C-terminus of NALCN allows for specific domain recognition .
Crosslinking Mass Spectrometry: This technique has revealed specific interaction points between NALCN and SNARE proteins. Research has shown that STX1A and SNAP25 interact with the DII-DIII linker region of NALCN .
Mutational Analysis: Systematic mutation of putative interaction domains followed by co-immunoprecipitation with biotin-conjugated antibodies can identify critical binding residues.
Heterologous Expression Systems: Expression of NALCN with various binding partners in systems like Xenopus laevis oocytes, followed by functional analysis and antibody-based detection, can correlate structural features with functional outcomes .
Cryo-EM Studies: Purification of NALCN complexes using biotin-conjugated antibodies can facilitate structural studies via cryo-electron microscopy.
Research has demonstrated that UNC79 and UNC80 are not required for the interaction of STX1A and SNAP25 with NALCN, as co-expression of only NALCN and FAM155A with STX1A and SNAP25 was sufficient for the purification of a stable complex .
Post-translational modifications (PTMs) of NALCN can significantly impact antibody recognition and experimental results:
Phosphorylation Status: Phosphorylation of NALCN, particularly in regions near the antibody epitope (AA 1659-1738), may alter antibody binding affinity or accessibility .
Protein-Protein Interactions: The formation of complexes between NALCN and proteins like STX1A and SNAP25 may mask epitopes, affecting antibody binding efficiency .
Denaturation Effects: Western blotting involves protein denaturation, which may expose epitopes that are normally hidden in native conformation, leading to differences between WB results and ICC/IF outcomes .
Sample Preparation Impact: Different lysis buffers and solubilization methods can affect the preservation of PTMs and protein complexes. Research protocols have used specific conditions (e.g., 2% GDN supplemented with 0.1% cholesteryl hemisuccinate) for optimal NALCN complex solubilization .
To address these challenges, researchers should consider using multiple antibodies targeting different NALCN epitopes and comparing results across different experimental techniques (WB, ICC, IP) to obtain a comprehensive understanding of NALCN status in their samples.
A comprehensive Western blotting protocol for NALCN detection includes:
Sample Preparation:
Gel Electrophoresis:
Transfer and Blocking:
Transfer to PVDF membrane (0.45 μm pore size) at 30V overnight at 4°C
Block with 5% non-fat milk in TBS-T for 1 hour at room temperature
Antibody Incubation:
Dilute biotin-conjugated NALCN antibody (1:1000) in 1% BSA in TBS-T
Incubate overnight at 4°C with gentle rocking
Wash 3 times with TBS-T, 10 minutes each
Detection:
Incubate with streptavidin-HRP (1:5000) for 1 hour at room temperature
Wash 3 times with TBS-T, 10 minutes each
Develop using ECL substrate and image
Expected results include detection of NALCN at approximately 200 kDa . Validation should include positive controls (tissues with known NALCN expression) and negative controls (tissues or cells with NALCN knockdown).
Verifying antibody specificity is crucial for reliable experimental outcomes:
Knockout/Knockdown Validation:
Compare antibody staining between wildtype samples and those with NALCN gene knockout or knockdown
Observe elimination or significant reduction of signal in knockout/knockdown samples
Epitope Competition Assay:
Cross-Reactivity Testing:
Multiple Antibody Comparison:
Use additional antibodies targeting different NALCN epitopes
Consistent staining patterns across different antibodies support specificity
Mass Spectrometry Validation:
Perform immunoprecipitation using the biotin-conjugated antibody
Analyze pulled-down proteins by mass spectrometry to confirm NALCN identity
Implementing these validation steps ensures confidence in experimental results and reduces the risk of misinterpreting non-specific signals.
Integration of biotin-conjugated NALCN antibodies with ELISA methodologies allows precise quantification:
Sandwich ELISA Configuration:
Standard Curve Preparation:
Use recombinant NALCN protein fragments at known concentrations
Plot absorbance values against concentration
Interpolate sample concentrations from the standard curve
Sample Preparation Considerations:
For cell lysates: use non-denaturing lysis buffers to preserve native epitopes
For tissue samples: homogenize in PBS with protease inhibitors
Remove debris by centrifugation before analysis
Technical Optimization:
Determine optimal antibody concentrations through titration experiments
Establish appropriate blocking conditions to minimize background
Validate linearity of detection within expected concentration range
Data Analysis:
Apply four-parameter logistic regression for standard curve fitting
Calculate intra- and inter-assay coefficients of variation to assess precision
Report values as concentration per unit protein or per cell number
This methodological approach enables researchers to perform quantitative analysis of NALCN expression across different experimental conditions or tissue samples.
Non-specific binding is a common challenge when working with antibodies. For NALCN antibodies, consider these troubleshooting approaches:
Blocking Optimization:
Test different blocking agents (BSA, casein, normal serum from secondary antibody species)
Increase blocking time or concentration if background remains high
Add 0.1-0.3% Triton X-100 to blocking solution to reduce hydrophobic interactions
Antibody Dilution Optimization:
Washing Protocol Adjustment:
Increase number or duration of washing steps
Add 0.05-0.1% Tween-20 to wash buffers
Consider using high-salt wash buffer (up to 500 mM NaCl) for one wash step
Cross-Adsorption:
Pre-incubate antibody with tissues or lysates from knockout models
This can remove antibodies that bind to non-specific targets
Secondary Detection System Considerations:
For streptavidin-based detection, block endogenous biotin with avidin/biotin blocking kit
Pre-clear lysates with protein G beads before immunoprecipitation
When working with membrane proteins like NALCN, optimizing solubilization conditions is critical. Research protocols have used specific detergents (e.g., 2% GDN with 0.1% cholesteryl hemisuccinate) for effective NALCN extraction while preserving protein interactions .
Designing robust experiments to investigate NALCN-SNARE protein interactions requires careful planning:
Expression System Selection:
Protein Complex Purification Strategy:
Functional Readout Methods:
Interaction Domain Mapping:
Controls and Validations:
Research has demonstrated that STX1A and SNAP25 together provide stronger inhibition of NALCN currents than STX1A alone, while SNAP25 alone shows no effect . This highlights the importance of testing protein combinations when studying complex interactions.
Combining immunodetection with electrophysiology provides powerful insights into structure-function relationships:
Correlative Electrophysiology and Immunofluorescence:
Record NALCN currents using patch-clamp techniques
Fix and immunostain the same cells with biotin-conjugated NALCN antibody
Correlate current amplitude with protein expression level
Heterologous Expression Systems:
Protein Modification Studies:
Introduce mutations or deletions in NALCN or interacting proteins
Assess functional impact by electrophysiology
Confirm expression and localization using antibody-based techniques
Pharmacological Interventions:
Apply compounds that modify NALCN function
Determine if treatments alter protein interactions or localization
Use antibodies to track changes in NALCN distribution or complex formation
Time-Course Experiments:
Monitor changes in NALCN currents over time after experimental manipulation
Collect parallel samples for antibody-based analysis at corresponding timepoints
This combinatorial approach has been successfully employed to demonstrate that SNARE complex proteins STX1A and SNAP25 inhibit NALCN currents, providing both functional evidence and mechanistic insights into this regulatory interaction .
Biotin-conjugated NALCN antibodies hold significant potential for advancing neurodevelopmental disorder research:
Patient-Derived Sample Analysis:
Compare NALCN expression and localization in patient-derived neurons versus controls
Correlate NALCN complex formation with clinical phenotypes
Therapeutic Target Validation:
Developmental Expression Profiling:
Map NALCN expression patterns throughout neural development
Correlate with the emergence of electrical activity in developing neural circuits
Genetic Variant Characterization:
Assess the impact of disease-associated NALCN variants on protein-protein interactions
Determine if mutations affect SNARE protein-mediated regulation
Circuit-Specific Analysis:
Combine with circuit tracing methods to identify NALCN expression in specific neural pathways
Correlate with functional outcomes in behavioral paradigms
The discovery that SNARE proteins regulate NALCN suggests a novel mechanism by which "the neurotransmitter release machinery can regulate electrical signalling directly, and therefore modulate the threshold for its own activity" . This insight opens new avenues for understanding neurological disorders and potential therapeutic interventions.
Computational methods are increasingly valuable for augmenting antibody-based research on NALCN:
Co-Expression Analysis:
Bulk RNA sequencing data from different human tissues and cell types can identify proteins with expression patterns similar to NALCN complex components
This approach successfully identified that "the presence of RNA encoding for NALCN complex proteins is highest in neuronal and other excitable cells"
Protein-Protein Interaction Prediction:
Epitope Mapping and Antibody Design:
In silico analysis of protein structure can identify optimal epitopes for antibody generation
Predict accessibility of epitopes in native versus denatured states
Machine Learning for Image Analysis:
Automated quantification of immunofluorescence data
Pattern recognition to identify subcellular localization changes
Molecular Dynamics Simulations:
Model interactions between NALCN and binding partners like STX1A and SNAP25
Predict functional consequences of mutations or post-translational modifications
The computational screen approach used to identify putative NALCN interacting partners demonstrated the power of integrating bioinformatic analysis with functional validation . Similar approaches could be applied to identify additional regulators and better understand NALCN's role in health and disease.