NALCN Antibody, Biotin conjugated

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Description

Product Overview

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) .

Key Features:

  • Target: Sodium Leak Channel, Non-Selective (NALCN) .

  • Reactivity: Human, mouse, and rat .

  • Applications: Western blotting (WB), immunocytochemistry (ICC), and immunofluorescence (IF) .

Western Blotting

  • 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 ).

Immunocytochemistry/Immunofluorescence

  • Dilution: Recommended 1:100 .

  • Utility: Used to localize NALCN in neuronal cells, aiding studies on its role in regulating resting membrane potentials .

Key Research Findings

  • 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 Comparison

VendorCatalog NumberConjugatePrice (100 μg)
Antibodies-OnlineABIN2483029 Biotin$463
StressMarqSMC-417 UnconjugatedAvailable on request
Sigma-AldrichSAB5200683 Biotin$463

Critical Validation Data

  • Specificity: Recognizes NALCN across species (human, mouse, rat) with no cross-reactivity to unrelated proteins like UBA1 .

  • Functional Assays: Reduces NALCN currents in syntaxin-depleted neurons, linking its inhibition to improved cell survival .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Product shipment typically occurs within 1-3 business days of order receipt. Delivery times may vary depending on the order fulfillment method and destination. Please contact your local distributor for precise delivery estimates.
Synonyms
A530023G15Rik antibody; bA430M15.1 antibody; CanIon antibody; Canlon antibody; FLJ23913 antibody; FLJ44659 antibody; FLJ44764 antibody; Four repeat voltage gated ion channel antibody; MGC74524 antibody; Nalcn antibody; NALCN_HUMAN antibody; Putative 4 repeat voltage gated ion channel antibody; Sodium leak channel non-selective protein antibody; sodium leak channel, non selective antibody; Vgcnl1 antibody; VGCNL1 protein antibody; voltage gated channel like 1 antibody; Voltage gated channel-like protein 1 antibody
Target Names
NALCN
Uniprot No.

Target Background

Function

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.

Gene References Into Functions

NALCN Gene Function and Associated Diseases: The following studies highlight the role of NALCN and its associated mutations in various neurological and developmental disorders:

  1. A homozygous nonsense mutation in NALCN (c.3910C>T, p.Arg1304X) in a 9-year-old male resulted in profound intellectual disability, seizures, feeding difficulties, and significant periodic breathing. PMID: 29968795
  2. NALCN variants are associated with neurodevelopmental diseases. PMID: 30167850
  3. UNC80 acts as a bridge between UNC79 and the NALCN cation channel. PMID: 26545877
  4. A de novo missense mutation in NALCN (c.1768C>T) was identified in an infant with a severe neonatal lethal form of congenital contractures of the limbs and face with hypotonia and developmental delay (CLIFAHDD). The clinical phenotype and electrophysiological studies indicated sustained muscular contraction in response to transient sensory stimuli. PMID: 27558372
  5. Heterozygous NALCN mutations contribute to syndromic neurodevelopmental impairment. PMID: 26763878
  6. Two patients with novel NALCN mutations (p.F317C and p.V595F) presented with distal arthrogryposis and central hypertonicity. PMID: 27214504
  7. Recessive NALCN mutations can lead to disrupted respiratory rhythm, mirroring observations in homozygous Nalcn knockout mice. PMID: 26923739
  8. NALCN contributes to ohmic leak currents in myometrial smooth muscle cells. NALCN mRNA and protein expression were detected in the myometrium of uterine biopsies from term, non-laboring women. PMID: 26134120
  9. UNC80 is essential for NALCN stability, function, and its interaction with UNC79 to form a functional complex. PMID: 26708753
  10. De novo NALCN mutations were identified as the cause of CLIFAHDD syndrome using exome and targeted next-generation sequencing. PMID: 25683120
  11. A possible, though not statistically confirmed, association between cervical dystonia and SNPs in the NALCN region was observed. PMID: 24227479
  12. NALCN is implicated in intellectual disability with facial dysmorphism (INAD). PMID: 23749988
  13. Two mutations (one missense, one nonsense) in NALCN were identified in two unrelated families. PMID: 24075186
  14. A study found no significant association between NALCN and schizophrenia risk. PMID: 20674038
  15. Meta-analysis and genome-wide association study of gene-disease association. (HuGE Navigator) PMID: 20889312
  16. Observational study of gene-disease association. (HuGE Navigator) PMID: 20674038
  17. Clinical trial of gene-disease association and gene-environment interaction. (HuGE Navigator) PMID: 20379614
  18. UNC80 acts as a scaffold for Src kinases in NALCN channel function. PMID: 19535918
  19. Studies have elucidated the molecular basis of a muscarinic-activated inward sodium current independent of G-protein activation, providing insights into NALCN channel properties. PMID: 19575010
  20. Observational study of gene-disease association. (HuGE Navigator) PMID: 19308021
Database Links

HGNC: 19082

OMIM: 611549

KEGG: hsa:259232

STRING: 9606.ENSP00000251127

UniGene: Hs.525146

Involvement In Disease
Hypotonia, infantile, with psychomotor retardation and characteristic facies 1 (IHPRF1); Congenital contractures of the limbs and face, hypotonia, and developmental delay (CLIFAHDD)
Protein Families
Cation-nonselective channel family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is NALCN and what cellular functions does it regulate?

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 .

What are the key applications for biotin-conjugated NALCN antibodies?

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.

What are the optimal storage and handling conditions for biotin-conjugated NALCN antibodies?

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.

How can biotin-conjugated NALCN antibodies be used to investigate NALCN interactions with SNARE proteins?

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.

What methodologies can be used to map the interaction domains between NALCN and its binding partners?

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 .

How do post-translational modifications affect NALCN antibody recognition and experimental outcomes?

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.

What is the optimal protocol for Western blotting using biotin-conjugated NALCN antibodies?

A comprehensive Western blotting protocol for NALCN detection includes:

  • Sample Preparation:

    • Lyse cells in buffer containing 25 mM HEPES (pH 7.5), 150-200 mM NaCl, protease inhibitors (1 mM PMSF and complete protease inhibitor tablets)

    • For membrane protein extraction, include 2% (w/v) GDN with 0.1% (w/v) cholesteryl hemisuccinate

    • Homogenize using dounce homogenization for optimal results

  • Gel Electrophoresis:

    • Use 7-8% SDS-PAGE gels to resolve high molecular weight NALCN (~200 kDa)

    • Load 20-50 μg of total protein per lane

    • Include molecular weight markers spanning 100-250 kDa range

  • 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).

What techniques can be used to verify NALCN antibody specificity?

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:

    • Pre-incubate antibody with excess purified antigen (fusion protein amino acids 1659-1738 of rat NALCN)

    • Apply to duplicate samples alongside non-competed antibody

    • Specific binding should be blocked by antigen pre-incubation

  • Cross-Reactivity Testing:

    • Test antibody against species with known sequence differences in the epitope region

    • The antibody shows cross-reactivity with human, mouse, and rat NALCN

  • 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.

How can biotin-conjugated NALCN antibodies be integrated with ELISA systems for quantitative analysis?

Integration of biotin-conjugated NALCN antibodies with ELISA methodologies allows precise quantification:

  • Sandwich ELISA Configuration:

    • Coat microplate with capture antibody specific for NALCN

    • Add samples containing NALCN

    • Detect bound NALCN using biotin-conjugated NALCN antibody

    • Add streptavidin-HRP conjugate

    • Develop with substrate solution and measure color intensity

  • 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.

How can researchers troubleshoot non-specific binding with NALCN antibodies?

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:

    • Perform titration experiments to determine optimal antibody concentration

    • For the biotin-conjugated NALCN antibody, start with manufacturer-recommended dilutions and adjust as needed

  • 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 .

What are the key considerations for designing experiments to study NALCN-SNARE protein interactions?

Designing robust experiments to investigate NALCN-SNARE protein interactions requires careful planning:

  • Expression System Selection:

    • Heterologous systems (Xenopus laevis oocytes) have been successful for functional studies

    • Mammalian expression systems (Expi293 cells) work well for biochemical and structural studies

  • Protein Complex Purification Strategy:

    • Use tandem affinity purification with FLAG and Strep tags

    • Optimize detergent conditions (e.g., GDN with cholesteryl hemisuccinate)

    • Include appropriate protease inhibitors (PMSF, benzonase, complete tablets)

  • Functional Readout Methods:

    • Two-electrode voltage clamp (TEVC) can measure NALCN currents

    • Isolate NALCN-specific activity by exploiting its sensitivity to extracellular Ca²⁺ and Mg²⁺

  • Interaction Domain Mapping:

    • Design constructs targeting specific domains (e.g., DII-DIII linker of NALCN)

    • Use crosslinking mass spectrometry to identify interaction sites

  • Controls and Validations:

    • Include negative controls (non-interacting proteins)

    • Test combinations of proteins to identify synergistic effects (as seen with STX1A and SNAP25)

    • Validate biochemical interactions with functional assays

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.

How can NALCN antibodies be used in combination with electrophysiological techniques?

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:

    • Express NALCN with various interacting partners in Xenopus laevis oocytes

    • Measure currents using two-electrode voltage clamp (TEVC)

    • Isolate samples for protein expression analysis via Western blotting

  • 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 .

What are emerging applications for NALCN antibodies in neurodevelopmental disorder research?

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:

    • Investigate how NALCN-SNARE interactions might be targeted therapeutically

    • Given that "reduction of NALCN currents is sufficient to promote cell survival in syntaxin-depleted cells," this interaction may offer opportunities for drug development

  • 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.

How might computational approaches enhance NALCN antibody-based research?

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:

    • Computational screening can identify potential NALCN interacting partners

    • Analysis revealed "more positive correlations between the NALCN core complex genes and neuronal genes than between the NALCN core complex genes and essential genes"

  • 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.

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