CTNND2 Antibody is a research tool designed to detect and study the protein catenin delta-2 (CTNND2), a neural-specific member of the catenin family. CTNND2 is critical for neuronal development, synaptic plasticity, and cell adhesion, with roles in dendritic spine maintenance and excitatory/inhibitory synapse balance . The antibody is utilized in techniques such as Western Blot (WB), Immunohistochemistry (IHC), and ELISA to investigate CTNND2’s expression in brain tissue, melanoma, and neurodevelopmental disorders .
CTNND2 Antibodies are validated for diverse experimental workflows, with specific dilution guidelines:
Reactivity is primarily reported for human and rat samples, with some antibodies limited to human-only use .
CTNND2 Antibodies have revealed its dual role in excitatory and inhibitory synapses:
Excitatory Synapses: Limits spine density and synaptic transmission .
Inhibitory Synapses: Required for gephyrin-mediated GABAergic synapse formation .
Adult Maintenance: Prevents precocious dendritic spine loss in adulthood .
In melanoma, CTNND2 overexpression correlates with enhanced proliferation, migration, and invasion, mediated via FAK/MEK-ERK signaling . Antibody-based studies demonstrated:
Adhesion Defects: CTNND2 knockdown reduces collagen/fibronectin adhesion .
Biomarker Potential: Elevated CTNND2 in melanoma tissues suggests diagnostic utility .
CTNND2 haploinsufficiency is linked to ADHD and autism spectrum disorders :
Zebrafish Models: ctnnd2b mutants show GABAergic neuron misplacement and hyperactive behavior .
Human Studies: Chromosomal deletions in CTNND2 associate with severe attention deficits .
In scleroderma renal crisis (SRC), CTNND2 shows increased glomerular expression, suggesting a role in pathogenesis .
Cross-Reactivity: Polyclonal antibodies may bind non-target proteins; validation via orthogonal methods (e.g., SYNGO analysis) is critical .
Tissue Specificity: Reactivity varies (e.g., HPA015077 for human-only use) .
Experimental Design: Optimal dilutions must be empirically determined for each assay .
CTNND2 (delta-2 catenin) is a protein encoded by the CTNND2 gene with significant implications for neuronal development. In humans, the canonical protein consists of 1225 amino acid residues with a molecular mass of 132.7 kDa and is primarily localized in the nucleus. As a member of the Beta-catenin protein family, CTNND2 plays a critical role in neuronal development, particularly in the formation and maintenance of dendritic spines and synapses . The protein is predominantly expressed in the brain, with highest expression observed in fetal brain tissue, suggesting its developmental importance . CTNND2 is also known by several alternative names including NPRAP, T-cell delta-catenin, catenin (cadherin-associated protein), delta 2 (neural plakophilin-related arm-repeat protein), neurojungin, and GT24 . Research has implicated CTNND2 in autism spectrum disorders and other neurodevelopmental conditions, making antibodies targeting this protein valuable tools for investigating the molecular mechanisms of these disorders .
CTNND2 antibodies serve multiple critical functions in neuroscience research. The most common applications include:
Western Blot (WB): Used to detect and quantify CTNND2 protein in tissue or cell lysates, allowing researchers to assess expression levels across different brain regions or developmental stages .
Immunohistochemistry (IHC): Enables visualization of CTNND2 distribution in fixed tissue sections, providing spatial information about protein localization in different brain regions and cellular compartments .
Immunocytochemistry (ICC)/Immunofluorescence (IF): Used to examine subcellular localization of CTNND2, particularly its association with synaptic structures. Studies have shown CTNND2 forms clusters associated with both excitatory synapses (79% ± 4% colocalization with PSD-95) and inhibitory synapses (67% ± 3% colocalization with gephyrin) .
Enzyme-Linked Immunosorbent Assay (ELISA): Allows quantitative measurement of CTNND2 in biological samples .
Immunoprecipitation (IP): Used to study protein-protein interactions, particularly CTNND2's binding with other proteins like CTNNB1 (β-catenin) .
Each application requires specific antibody characteristics in terms of specificity, sensitivity, and epitope recognition, making antibody selection a critical consideration in experimental design.
CTNND2 antibodies target various epitopes across the protein, with commercially available antibodies generally falling into three categories:
N-terminal region antibodies: These target epitopes within the N-terminal domain, which is involved in protein-protein interactions. Some specific antibodies target the G34 region, which is clinically relevant due to the G34S mutation identified in autism patients .
C-terminal region antibodies: Many commercial antibodies target the C-terminal region of CTNND2. For example, antibodies targeting amino acids 1066-1115 and C-terminal regions are commonly used in Western blot applications .
Internal domain antibodies: These target conserved regions within the armadillo repeat domains that are critical for CTNND2's structural and functional properties.
When selecting an antibody, researchers should consider which domain is most relevant to their research question. For instance, studies examining CTNND2-CTNNB1 interactions might benefit from antibodies targeting regions involved in this binding, whereas studies of autism-associated mutations might require antibodies that can distinguish between wild-type and mutant forms .
Optimizing immunostaining for CTNND2 in neuronal cultures requires attention to several critical parameters:
Fixation method: For optimal detection of synaptic CTNND2, use 4% paraformaldehyde fixation for 15 minutes at room temperature. Avoid methanol fixation as it can disrupt the protein's native conformation and affect epitope accessibility.
Permeabilization: Use 0.2% Triton X-100 for 10 minutes, which provides sufficient membrane permeabilization without excessive protein extraction. For co-localization studies with synaptic markers, a milder permeabilization (0.1% Triton X-100) may preserve protein-protein interactions better.
Blocking solution: Use 5-10% normal serum (from the species of the secondary antibody) with 1% BSA in PBS for at least 1 hour to minimize non-specific binding.
Antibody dilution and incubation: Start with the manufacturer's recommended dilution (typically 1:200-1:1000) and optimize if needed. Incubate primary antibodies overnight at 4°C to maximize specific binding while reducing background.
Co-localization markers: For synaptic localization studies, co-stain with PSD-95 for excitatory synapses and gephyrin for inhibitory synapses. Based on published data, expect approximately 79% co-localization with PSD-95 and 67% with gephyrin .
Controls: Include appropriate negative controls (primary antibody omission, non-immune IgG) and positive controls (brain tissue with known CTNND2 expression).
Imaging parameters: Use confocal microscopy with appropriate resolution for synaptic structures (typically requiring at least 63× magnification with 2-3× digital zoom).
Remember that CTNND2 forms clusters associated with both excitatory and inhibitory synapses, which is atypical since these synapse types usually contain distinct sets of proteins . This dual localization requires careful optimization of detection parameters to accurately visualize both populations.
Rigorous validation of CTNND2 antibody specificity is essential for reliable research outcomes. Implement these complementary approaches:
Western blot analysis: Verify that the antibody detects a single band at the expected molecular weight (132.7 kDa for the canonical isoform) . Compare multiple tissue types, with strongest signal expected in brain tissue, particularly fetal brain.
Knockout/knockdown controls: Use CTNND2 knockout tissue or cells with CTNND2 knockdown via shRNA or CRISPR-Cas9 as negative controls . The signal should be substantially reduced or absent compared to wild-type samples.
Overexpression validation: Transfect cells with CTNND2 expression constructs and confirm increased signal intensity compared to untransfected controls.
Peptide competition: Pre-incubate the antibody with the immunizing peptide prior to immunostaining or Western blot. This should abolish specific binding if the antibody is truly specific.
Cross-reactivity assessment: Test the antibody against other catenin family members, particularly delta-1 catenin, to ensure specificity within the protein family.
Multiple antibody comparison: Use antibodies targeting different epitopes of CTNND2 and compare their staining patterns. Consistent patterns across different antibodies increase confidence in specificity.
Immunoprecipitation-mass spectrometry: Perform IP using the CTNND2 antibody followed by mass spectrometry to identify all captured proteins. The predominant hit should be CTNND2.
For developmental neuroscience research, remember that CTNND2 expression increases significantly during synaptogenesis between P10 and P21 in mice, so validation should include appropriate developmental timepoints .
Detecting and distinguishing between the different CTNND2 isoforms requires specialized methodological approaches:
Isoform-specific Western blotting: Use antibodies targeting unique regions of each isoform. The two main isoforms resulting from alternative splicing can be separated on 6-8% SDS-PAGE gels and detected with antibodies recognizing shared or isoform-specific epitopes .
RT-PCR analysis: Design primers spanning exon-exon junctions specific to each isoform. This allows amplification and quantification of isoform-specific mRNAs. For accurate quantification, use quantitative real-time PCR with isoform-specific probes.
Isoform-specific immunoprecipitation: Perform IP using antibodies that recognize epitopes unique to each isoform, followed by Western blot confirmation.
Mass spectrometry: Use targeted proteomic approaches to identify unique peptides from each isoform. This requires careful sample preparation and specialized MS/MS protocols.
Expression constructs: For functional studies, create expression constructs for each isoform tagged with different fluorescent proteins. This enables visualization of potential differences in subcellular localization and function.
| CTNND2 Isoform | Molecular Weight | Unique Regions | Detection Method |
|---|---|---|---|
| Canonical (Isoform 1) | 132.7 kDa | Full sequence | Standard WB, IHC, IF |
| Isoform 2 | Varies by species | Alternative exon usage | Isoform-specific antibodies or primers |
When designing experiments to detect specific isoforms, consider that their expression patterns may vary during development, with differential expression particularly notable between fetal and adult brain .
CTNND2 knockdown produces significant effects on both neuronal excitability and synaptogenesis, with distinct temporal patterns:
Effects on dendritic spine density:
Developmental time course:
At P10 (early synaptogenesis): No significant difference in spine density between control (0.49 ± 0.03 spines/μm) and CTNND2-deficient neurons (0.53 ± 0.03 spines/μm)
At P21 (juvenile): CTNND2-deficient neurons show significantly higher spine density than controls
At P77 (adult): The effect persists, indicating a permanent alteration in synaptic connectivity
Effects on inhibitory synapses:
Excitatory/inhibitory balance:
Intrinsic neuronal excitability:
These findings suggest that CTNND2 plays a dual role in regulating neuronal excitability: it limits excitatory synapse formation while promoting inhibitory synapse development. This explains why CTNND2 mutations or copy number variations are associated with neurodevelopmental disorders characterized by E/I imbalance, such as autism .
CTNND2 engages in multiple protein-protein interactions that critically influence synaptic structure and function:
CTNNB1 (β-catenin) interaction:
PSD-95 association:
Gephyrin association:
ZBTB33 interaction:
GTPase regulatory proteins:
For investigating these interactions, co-immunoprecipitation followed by Western blotting represents the gold standard approach. For visualization of these interactions in neurons, proximity ligation assays or FRET-based methods can provide spatial information about where in the neuron these interactions occur. When studying autism-associated mutations, introducing the mutations (e.g., G34S, R713C) and assessing their effects on these interactions can provide insights into pathogenic mechanisms .
CTNND2 genetic alterations significantly contribute to neurodevelopmental disorders through multiple mechanisms:
Copy Number Variations (CNVs):
Point mutations:
Molecular consequences:
Gene expression networks:
Developmental timeline:
| Type of Genetic Alteration | Frequency in NDD Patients | Functional Consequence |
|---|---|---|
| Exonic deletions | 58.3% of CNVs vs. 6.1% in controls | Haploinsufficiency |
| Point mutations (e.g., G34S, R713C) | Rare, but functionally significant | Disrupted protein-protein interactions |
| Whole gene duplications | Less common than deletions | Potential overexpression effects |
For researchers investigating CTNND2 in neurodevelopmental disorders, combining genetic screening with functional assays of neuronal excitability and synapse formation provides the most comprehensive approach to understanding pathogenic mechanisms .
Inconsistent CTNND2 immunostaining in brain tissue can arise from multiple factors. Here are systematic solutions to common problems:
Tissue fixation variability:
Problem: Different fixation protocols can dramatically affect epitope accessibility
Solution: Standardize fixation using 4% paraformaldehyde for 24-48 hours for adult brain tissue; shorter times (12-24 hours) for developmental tissue
Alternative: For archival tissues with variable fixation, try antigen retrieval using citrate buffer (pH 6.0) at 95°C for 20 minutes
Antibody specificity issues:
Problem: Some commercial antibodies show cross-reactivity with other catenin family members
Solution: Validate antibody specificity using knockout controls or peptide competition assays
Alternative: Use multiple antibodies targeting different CTNND2 epitopes to confirm staining patterns
Developmental expression differences:
Regional expression heterogeneity:
Problem: CTNND2 expression varies across brain regions
Solution: Use anatomical landmarks to ensure consistent regional sampling
Alternative: Include region-specific markers for precise anatomical localization
Isoform-specific detection challenges:
Problem: Alternative splicing produces different CTNND2 isoforms
Solution: Use antibodies that recognize shared epitopes for total CTNND2 detection, or isoform-specific antibodies when studying particular variants
Background reduction strategy:
Add 0.1-0.3% Triton X-100 to antibody dilution buffer to reduce non-specific binding
Extend blocking time to 2 hours using 10% serum with 1% BSA
Include 10 mM glycine in blocking buffer to quench residual aldehydes from fixation
By implementing these technical refinements, researchers can achieve more consistent and specific CTNND2 immunostaining across different brain regions and developmental stages.
Detecting CTNND2 protein-protein interactions requires careful optimization of experimental conditions. Here are evidence-based protocols for different interaction detection methods:
Co-immunoprecipitation (Co-IP) optimization:
Lysis buffer: Use mild non-ionic detergents (0.5-1% NP-40 or 0.5% Triton X-100) to preserve protein-protein interactions
Salt concentration: Keep NaCl concentration moderate (150 mM) to maintain specific interactions
Pre-clearing: Always pre-clear lysates with protein A/G beads for 1 hour to reduce non-specific binding
Antibody amount: Typically 2-5 μg per 500 μg of total protein
Specific consideration: When investigating CTNND2-CTNNB1 interaction, note that autism-associated mutations (G34S, R713C) reduce this binding
Proximity Ligation Assay (PLA):
Fixation: 4% PFA for 15 minutes preserves most interactions
Permeabilization: Mild permeabilization (0.1% Triton X-100) for 10 minutes
Blocking: Extended blocking (2 hours) with 5% BSA to reduce background
Antibody pairing: Ensure primary antibodies are from different species
Controls: Include single primary antibody controls to assess background
Fluorescence Resonance Energy Transfer (FRET):
Fusion constructs: C-terminal tagging of CTNND2 is preferable as N-terminal mutations (e.g., G34S) affect protein interactions
Linker design: Use flexible linkers (G₄S)₃ between CTNND2 and fluorophores
Expression levels: Maintain low expression levels to avoid non-specific interactions
FRET pairs: mCerulean3-mVenus or mTurquoise2-SYFP2 provide optimal spectral separation
Bimolecular Fluorescence Complementation (BiFC):
Split fluorophore: Venus or mNeonGreen split-fluorophore systems work well
Temperature: Perform final imaging at 30°C to enhance chromophore formation
Incubation time: Allow 12-24 hours after transfection for BiFC complex formation
Control: Use known non-interacting protein pairs as negative controls
GST pull-down for domain mapping:
Expression: Express GST-tagged CTNND2 domains in E. coli BL21(DE3) at 18°C overnight
Purification: Purify using glutathione-Sepharose beads
Binding conditions: Perform binding at 4°C for 4 hours in buffer containing 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40
Washing: Use at least 5 washes with decreasing detergent concentration
These optimized protocols enable reliable detection of CTNND2 interactions with partners like CTNNB1, PSD-95, gephyrin, and ZBTB33, facilitating investigation of how these interactions contribute to synaptic function and neurodevelopmental disorders.
Differentiating between direct and indirect effects of CTNND2 manipulation requires sophisticated experimental design. Here are systematic approaches:
Temporal control systems:
Inducible knockdown/knockout: Use doxycycline-regulated shRNA expression or tamoxifen-inducible Cre-loxP systems
Rapid protein degradation: Employ auxin-inducible degron (AID) systems for acute CTNND2 depletion
Advantage: These systems allow observation of immediate versus delayed effects, helping distinguish direct from indirect consequences
Spatially restricted manipulation:
Single-cell electroporation: Manipulate CTNND2 in isolated neurons within an otherwise normal network
Sparse transfection: Transfect <5% of neurons to assess cell-autonomous effects
Floxed mice with sparse Cre expression: Allows for mosaic analysis in vivo
Evidence: CTNND2 knockdown affects neuronal firing properties in a cell-autonomous manner (162 ± 8% higher firing rate)
Rescue experiments with domain mutants:
Approach: Knock down endogenous CTNND2 and replace with mutants lacking specific interaction domains
Example: Compare rescue efficiency of wild-type CTNND2 versus CTNNB1-binding mutants (G34S, R713C)
Interpretation: If a specific interaction is directly responsible for a phenotype, mutants disrupting only that interaction will fail to rescue
Acute pharmacological interventions:
Strategy: Acutely block potential downstream pathways after CTNND2 manipulation
Example: If increased neuronal excitability after CTNND2 knockdown is direct, it should persist when blocking protein synthesis with cycloheximide
Application: This approach helps distinguish transcription-dependent (indirect) from transcription-independent (direct) effects
Subcellular compartment analysis:
Electrophysiological timeline analysis:
Method: Perform patch-clamp recordings at defined time points after CTNND2 manipulation
Evidence: CTNND2 depletion increases E/I ratio (185% of control)
Analysis: Plot the time course of changes in synaptic strength, membrane resistance, and firing properties
Interpretation: Rapid changes (hours) suggest direct effects, while delayed changes (days) suggest indirect transcriptional or developmental effects
By combining these approaches, researchers can build a comprehensive understanding of which CTNND2 functions directly impact neuronal physiology and which operate through more complex, indirect mechanisms involving transcriptional regulation or developmental alterations.
Several cutting-edge technologies show promise for advancing CTNND2 antibody-based research:
Super-resolution microscopy applications:
STORM/PALM imaging can resolve CTNND2 nanoscale organization at synapses below the diffraction limit (~20 nm resolution)
Expansion microscopy physically enlarges specimens, allowing conventional microscopes to achieve super-resolution imaging of CTNND2 synaptic clusters
These techniques can reveal how CTNND2 spatially organizes relative to other synaptic proteins, potentially uncovering functional microdomains
Proximity-dependent labeling:
BioID or TurboID fusion proteins with CTNND2 allow identification of the complete proximal proteome
APEX2-CTNND2 fusions enable electron microscopy-compatible proximity labeling
These approaches can identify novel CTNND2 interactors that may be missed by traditional co-IP approaches due to weak or transient interactions
Antibody-based biosensors:
FRET-based conformational sensors using CTNND2 antibody fragments can detect activity-dependent conformational changes
Split-GFP complementation systems coupled with nanobodies can visualize CTNND2 activation states
These tools could reveal dynamic CTNND2 regulation during synaptic activity
Spatially-resolved transcriptomics integration:
Combining CTNND2 immunostaining with in situ sequencing or Slide-seq approaches
This integration could reveal relationships between CTNND2 protein localization and local transcriptional landscapes
Particularly valuable for understanding CTNND2's role in chromatin modification and gene expression regulation
Single-molecule tracking:
Quantum dot-conjugated antibodies against extracellular epitope-tagged CTNND2
Allows tracking of CTNND2 mobility and diffusion dynamics at synapses
May reveal activity-dependent regulation of CTNND2 localization and function
Genetically encoded intrabodies:
Express single-chain variable fragments (scFvs) derived from CTNND2 antibodies intracellularly
Enables live imaging of endogenous CTNND2 without overexpression artifacts
Can be coupled with optogenetic or chemogenetic regulators for acute manipulation
These emerging technologies extend beyond conventional antibody applications, potentially revealing new aspects of CTNND2 biology and function in neuronal development and synaptic regulation.
CTNND2 antibodies offer several promising avenues for elucidating autism pathophysiology:
Patient-derived model systems:
CTNND2 antibodies can assess protein expression and localization in autism patient-derived neurons (from iPSCs)
Compare CTNND2 levels and distribution between neurons derived from individuals with CTNND2 mutations/CNVs and neurotypical controls
This approach can reveal whether haploinsufficiency or mislocalization contributes to pathology
Circuit-level analysis in animal models:
Developmental trajectory mapping:
CTNND2 antibody staining across developmental timepoints can reveal when pathological changes first appear
Critical periods include P10-P21 in mice, when spine density differences become apparent between control and CTNND2-deficient neurons
This information can guide timing for potential therapeutic interventions
Post-translational modification analysis:
Phospho-specific antibodies can detect altered CTNND2 regulation in autism models
Ubiquitination-specific antibodies may reveal changes in protein turnover
These modifications might represent druggable regulatory mechanisms
Protein-protein interaction network mapping:
Diagnostic and stratification biomarkers:
Develop sensitive ELISA protocols using CTNND2 antibodies to measure protein in accessible patient samples
Correlate CTNND2 levels or post-translational modifications with specific clinical phenotypes
Could help stratify autism spectrum disorders for personalized therapeutic approaches
Therapeutic target validation:
This multifaceted approach using CTNND2 antibodies can bridge genetic findings with neural circuit dysfunction, potentially leading to novel therapeutic strategies for autism spectrum disorders.
Advanced computational methods are transforming antibody research through improved epitope prediction and validation:
AI-powered epitope prediction:
Deep learning algorithms can predict antibody-accessible regions of CTNND2 with higher accuracy than traditional methods
Protein language models (like AlphaFold-Multimer or ESMFold) can predict structural epitopes, including conformational epitopes
These predictions can guide design of antibodies targeting functionally relevant CTNND2 domains, such as the CTNNB1-binding region affected by autism-associated mutations
Molecular dynamics simulations:
Simulate CTNND2 protein dynamics to identify stable versus flexible regions
Flexible regions often make poor epitopes due to conformational variability
Particularly valuable for targeting the relatively uncharacterized structural domains of CTNND2
Network-based epitope ranking:
Analyze protein-protein interaction networks to identify functionally critical regions
Prioritize epitopes that allow antibody binding without disrupting key interactions
Alternative approach: deliberately target interaction interfaces to develop function-blocking antibodies
Cross-species conservation analysis:
Compare CTNND2 sequences across species to identify conserved versus variable regions
Conserved regions often represent functionally important domains
This approach can guide development of antibodies with predictable cross-reactivity profiles for comparative studies across model organisms
Structural epitope mapping:
Use cryo-EM or X-ray crystallography data of CTNND2 to map surface-accessible regions
Combine with computational docking to predict antibody-epitope interactions
This structural information can reduce experimental screening effort by pre-selecting promising epitopes
Epitope validation through proteomics:
In silico digestion of CTNND2 to predict mass spectrometry-detectable peptides
These predictions guide selection of epitopes that can be validated by downstream proteomics
Particularly useful for developing antibodies compatible with immunoprecipitation-mass spectrometry workflows
Machine learning for cross-reactivity prediction:
Train models on existing antibody cross-reactivity data
Use these models to predict potential off-target binding for new CTNND2 antibodies
Can reduce false positives in immunostaining and other applications
By integrating these computational approaches into antibody development workflows, researchers can develop next-generation CTNND2 antibodies with enhanced specificity, functionality, and application breadth, accelerating progress in understanding this protein's role in neurodevelopment and disease.