The NFKB2 antibody recognizes both precursor (p100) and mature (p52) forms of the NF-κB2 protein . Key structural and functional details include:
Molecular Weight:
Phosphorylation Sites: Mutations at serine residues (e.g., S866/S870) in the C-terminus of NFKB2 are linked to immune deficiencies , making these regions critical for antibody validation in disease models.
NFKB2 antibodies are widely used in:
| Application | Utility |
|---|---|
| Western Blotting | Detects endogenous NF-κB2 expression levels in cell lysates . |
| Immunoprecipitation | Isolates NF-κB2 complexes to study protein interactions . |
Studies leverage these techniques to investigate NF-κB2's role in:
Immune Dysregulation: NFKB2 mutations are associated with Common Variable Immunodeficiency (CVID) and DAVID syndrome, characterized by endocrine deficiencies and autoimmunity .
Inflammatory Diseases: Polymorphisms in NFKB2 (e.g., rs1005044) correlate with rheumatoid arthritis risk and altered cytokine production (e.g., IL-10) .
Patients with NFKB2 loss-of-function (LOF) or IκBδ gain-of-function (GOF) variants exhibit autoantibodies against type I interferons (IFN-α/ω/β), impairing antiviral responses .
NFKB2 regulates genes encoding cytokines (e.g., TNF-α, IL-1), chemokines (e.g., RANTES), and adhesion molecules (e.g., VCAM-1), linking innate and adaptive immunity .
Dysregulated NF-κB2 activity is implicated in atherosclerosis, autoimmune arthritis, and cancer .
Functional Assays: Peripheral blood mononuclear cells from carriers of NFKB2 variants show altered cytokine profiles (e.g., elevated IL-10 post-LPS stimulation) .
Limitations: Not all NFKB2 missense variants (e.g., A867V) result in detectable autoantibodies, suggesting genotype-phenotype variability .
NFKB2 exists in two principal forms: the precursor p100 (97-120 kDa) and the processed active form p52 (52 kDa). The p100 form contains an inhibitory C-terminal domain with ankyrin repeats that must be processed for activation. This processing is a key regulatory step in the non-canonical NF-κB pathway, which controls various immune functions including B cell maturation, antibody production, and T cell function through germinal center regulation .
The p100 form predominantly resides in the cytoplasm, while the processed p52 form translocates to the nucleus where it regulates gene expression. The conversion from p100 to p52 requires phosphorylation, ubiquitination, and partial proteasomal degradation of the C-terminal portion, a process tightly controlled by upstream kinases such as NIK (NF-κB-inducing kinase) .
Mutations in NFKB2 that affect processing can lead to immunodeficiency disorders, highlighting the protein's critical role in immune function .
NFKB2 antibodies can be utilized across multiple experimental platforms:
These applications allow comprehensive investigation of NFKB2's expression, processing, localization, and function in various experimental contexts .
NFKB2 antibodies target different regions of the protein, affecting their utility in specific applications:
When selecting an antibody, researchers should consider the specific research question. For monitoring pathway activation, antibodies detecting both forms are preferable. For mechanistic studies of processing, combining N-terminal and C-terminal antibodies provides more complete information .
Successful detection of both NFKB2 forms requires careful optimization:
Sample preparation:
Gel selection and electrophoresis:
Use gradient gels (4-12%) to resolve both high (p100) and low (p52) molecular weight forms
Run at lower voltage (80-100V) for better resolution of both forms
Transfer conditions:
Use wet transfer for efficient transfer of both proteins
Consider semi-dry transfer with graduated buffer systems for the large p100 protein
Transfer at 30V overnight at 4°C for optimal results with both forms
Membrane blocking:
Antibody incubation:
Detection strategy:
Consider different exposure times to visualize both bands optimally
Use enhanced chemiluminescence or fluorescent secondary antibodies for sensitive detection
This optimized protocol allows reliable detection of both p100 and p52 forms, enabling accurate assessment of processing activity .
Thorough validation is essential for obtaining reliable results with NFKB2 antibodies:
Positive controls:
Negative controls:
NFKB2 knockout or knockdown samples
Isotype control antibodies for immunostaining
Preimmune serum for polyclonal antibodies
Specificity assays:
Cross-reactivity assessment:
Application-specific validation:
For IHC: Test multiple antigen retrieval methods (TE buffer pH 9.0 and citrate buffer pH 6.0)
For ChIP: Verify enrichment at known NF-κB target genes
For IP: Confirm pull-down of interaction partners
Proper validation ensures experimental results accurately reflect biological processes rather than technical artifacts .
The non-canonical NF-κB pathway can be activated through several stimulation protocols:
CD40 ligand treatment:
PMA with calcium ionomycin:
Anti-CD3 stimulation:
BAFF (B cell activating factor) treatment:
Concentration: 50-100 ng/mL
Duration: 6-24 hours (kinetics may vary by cell type)
Particularly effective for B cells
Specifically activates the non-canonical pathway
Lymphotoxin-β receptor agonists:
Concentration: 1-2 μg/mL anti-LTβR antibody
Duration: 12-24 hours
Effective in many cell types including fibroblasts and epithelial cells
When analyzing pathway activation, a time course experiment is recommended, as processing kinetics can vary by cell type and stimulus. Nuclear and cytoplasmic fractionation provides additional information about p52 translocation following processing .
Chromatin immunoprecipitation (ChIP) with NFKB2 antibodies allows identification of genomic binding sites, providing insights into gene regulation. A detailed protocol based on search results includes:
Cell preparation:
Crosslinking and chromatin preparation:
Immunoprecipitation:
Capture and elution:
Reverse crosslinking and DNA purification:
Analysis options:
This approach has revealed NFKB2 binding to various target genes involved in immune regulation, inflammation, and cell survival .
Investigating NFKB2-related immunodeficiency disorders requires multiple complementary approaches:
Protein processing analysis:
Western blotting to assess p100 processing to p52
Compare patient samples with healthy controls following stimulation
Analyze both unstimulated and stimulated conditions (e.g., anti-CD3 for 2 days)
Quantify p100/p52 ratio as indicator of processing defects
Example finding: "Patient's PBMCs exhibited increased p100 levels and reduced p52 levels, indicative of impaired cleavage of p100 into its active form"
Genetic-functional correlation:
Cellular immunophenotyping:
Immunological parameter assessment:
Measure serum immunoglobulin levels
Evaluate antibody responses to vaccination
Test for presence of autoantibodies (including anti-interferon autoantibodies)
Example finding: "Whole-exome sequencing identified a missense variant in the ankyrin domain of NFKB2... The patient's pan-hypogammaglobulinemia, anti-IFN-α2 autoantibodies, and susceptibility to severe viral infections indicate the deleterious effect"
Functional genomics:
These methodological approaches have revealed that NFKB2 mutations can lead to diverse clinical phenotypes, including CVID, combined immunodeficiency, autoimmunity, endocrinopathy, and increased susceptibility to viral infections .
Differentiating between canonical and non-canonical NF-κB pathway activation is critical for understanding specific signaling mechanisms. NFKB2 antibodies play a key role in this differentiation:
Protein marker distinction:
Canonical pathway: Monitor p105/p50 (NFKB1), IκBα, and RelA (p65)
Non-canonical pathway: Track p100/p52 (NFKB2) and RelB
Use specific antibodies for each protein component
Create a panel approach integrating multiple markers
Kinetic analysis:
Canonical pathway: Rapid activation (minutes to hours)
Non-canonical pathway: Delayed activation (hours to days)
Design time-course experiments (0, 15, 30 min, 1, 2, 4, 8, 24 hours)
Use NFKB2 antibodies to track p100 processing to p52 over time
Subcellular fractionation:
Stimulus-specific experimental design:
Canonical pathway activators: TNF-α, IL-1, LPS
Non-canonical pathway activators: CD40L, BAFF, lymphotoxin-β
Example: "Daudi human Burkitt's lymphoma cell line untreated (-) or treated (+) with 100 ng/mL Recombinant Human CD40 Ligand/TNFSF5"
Parallel stimulation with pathway-specific activators provides comparative data
Combined detection methodologies:
Western blotting: For processing and expression level changes
ChIP-seq: For binding site specificity differences
Immunofluorescence: For visualization of nuclear translocation
Flow cytometry: For single-cell analysis of pathway activation
Genetic approach:
Use cells with specific knockdown of pathway components:
siRNA against NFKB2 to impair non-canonical signaling
siRNA against NFKB1 to disrupt canonical signaling
Compare effects on downstream targets
This multi-faceted approach allows clear delineation between these interconnected but distinct signaling pathways, facilitating more precise mechanistic studies .
The p100/p52 ratio serves as a critical readout of non-canonical NF-κB pathway activity. Multiple factors influence this ratio, requiring careful interpretation:
Biological factors influencing the ratio:
Basal activation state of cells (resting vs. activated)
Cell type-specific processing rates
Tissue microenvironment and external stimuli
Genetic variations affecting processing machinery
Interpretation of p100/p52 ratio patterns:
Technical considerations affecting ratio measurement:
Antibody selection (epitope location affects detection)
Sample preparation (nuclear vs. cytoplasmic fractionation)
Time point selection (processing is dynamic)
Protein extraction efficiency
Experimental controls for accurate interpretation:
Understanding these patterns is particularly relevant for diagnosing NFKB2-related immunodeficiencies, where processing defects lead to characteristic alterations in the p100/p52 ratio .
Researchers working with NFKB2 antibodies encounter several technical challenges that require specific solutions:
Western blotting challenges:
Immunohistochemistry/Immunofluorescence challenges:
ChIP and related techniques:
Flow cytometry challenges:
| Challenge | Cause | Solution |
|---|---|---|
| Poor signal separation | Insufficient permeabilization | Optimize fixation and permeabilization protocols |
| Low signal-to-noise ratio | Autofluorescence, non-specific binding | Include proper controls, titrate antibody |
| Inability to distinguish p100 from p52 | Size-independent detection | Use processing-specific antibodies when available |
These solutions derive from experimental approaches described in the search results and represent best practices for obtaining reliable data with NFKB2 antibodies .
When NFKB2 antibody results conflict with functional data, a systematic troubleshooting approach is essential:
Antibody validation reassessment:
Technical vs. biological variability analysis:
Replicate experiments to distinguish random variation from true discrepancies
Standardize protocols across experiments (stimulation times, antibody concentrations)
Document lot-to-lot antibody variation
Consider genetic differences between cell lines or primary samples
Post-translational modification considerations:
Integrative data analysis approach:
Combine protein (Western blot) with mRNA (qPCR, RNA-seq) analysis
Correlate with downstream functional readouts (target gene expression)
Use multiple technical approaches (Western blot, IHC, flow cytometry)
Example integration: "Whole-exome sequencing identified a missense variant in the ankyrin domain of NFKB2... PBMCs exhibited impaired cleavage of p100"
Mechanistic resolution strategies:
For processing discrepancies: Examine NIK and IKKα activity
For nuclear translocation issues: Verify nuclear import machinery
For target gene differences: Assess cofactor availability
For patient samples: Consider mutational effects on epitope recognition
Experimental design refinement:
Include appropriate time points (non-canonical pathway has delayed kinetics)
Test multiple stimulation conditions
Use fractionation to distinguish subcellular pools
When working with genetic variants, express the mutant protein in control cells
Consideration of alternative explanations:
Compensatory mechanisms in genetic models
Non-transcriptional functions of NFKB2
Alternative processing pathways
Cell type-specific regulatory mechanisms
This systematic approach has successfully resolved discrepancies in NFKB2 studies, particularly in cases of immunodeficiency where protein detection data initially appeared contradictory to clinical phenotypes .
Recent research has identified distinct categories of NFKB2 mutations with specific functional consequences, significantly impacting antibody selection and experimental approaches:
Mutation classification and corresponding antibody strategy:
Domain-specific mutation analysis necessitates targeted detection:
Experimental design considerations based on mutation location:
For C-terminal mutations: Include phosphorylation analysis
For ankyrin domain mutations: Assess protein-protein interactions
For N-terminal mutations: Evaluate DNA binding capacity
Stimulation protocol refinement:
Processing-defective mutations: Extend stimulation time to detect any residual processing
Haploinsufficiency: Quantitative comparison with heterozygous controls
Gain-of-function: Include repression/negative feedback assessment
Clinical-research correlation approaches:
Autoantibody studies: "Patients with disorders of NIK, RELB or NF-κB2 have very few tissue-specific autoantibodies"
Immune cell abnormalities: "low memory B cells were more common in p52 LOF/IκBδ GOF patients"
Viral susceptibility: "Patients with NFKB2 mutations, particularly p52 LOF/IκBδ GOF, are at higher risk of viral infections"
Emerging genotype-phenotype correlations:
These findings emphasize the importance of comprehensive mutation characterization when studying NFKB2-related disorders and highlight the need for multiple detection approaches to fully assess functional impacts .
Recent technological advances have expanded the toolkit for studying NFKB2 dynamics and interactions:
Advanced chromatin profiling techniques:
CUT&RUN: Enhanced sensitivity over traditional ChIP
CUT&Tag: In situ chromatin profiling
Proximity-based protein interaction detection:
BioID/TurboID: Proximity labeling for identifying interaction partners
Fusion of biotin ligase to NFKB2 identifies neighbors in living cells
Can distinguish p100 from p52 interactomes
APEX2: Spatial proteomics for subcellular interaction mapping
Higher temporal resolution than BioID
Useful for capturing dynamic changes during processing
Live-cell imaging approaches:
CRISPR-mediated endogenous tagging of NFKB2
Maintains physiological expression levels
Allows real-time monitoring of processing and localization
Split fluorescent protein complementation
Visualizes specific NFKB2 interactions in living cells
Can distinguish between p100 and p52 interactions
Single-cell technologies:
Single-cell RNA-seq combined with protein detection
Correlates NFKB2 protein levels with transcriptional output
Reveals cell-to-cell variability in pathway activation
Mass cytometry (CyTOF)
Simultaneously measures multiple NF-κB pathway components
Allows detailed phenotyping of immune cell subsets in patient samples
Structural biology approaches:
Cryo-EM of NFKB2 complexes
Reveals conformational changes during processing
Helps interpret effects of disease-associated mutations
Hydrogen-deuterium exchange mass spectrometry
Maps dynamic protein regions during activation
Identifies surfaces involved in protein-protein interactions
Functional genomics techniques:
These emerging methodologies provide unprecedented insights into NFKB2 biology and are particularly valuable for understanding disease mechanisms in immunodeficiency disorders .
Based on the comprehensive review of available research, the following best practices emerge for NFKB2 antibody applications:
Strategic antibody selection:
For total NFKB2 detection: Choose antibodies recognizing epitopes present in both p100 and p52 forms
For specific processing analysis: Combine N-terminal and C-terminal targeting antibodies
For activation studies: Include phospho-specific antibodies
Validate across multiple applications if using for different techniques
Consider species specificity needs (human, mouse, rat compatibility)
Experimental design principles:
Include positive controls (stimulated samples showing processing)
Implement proper negative controls (isotype antibodies, blocking peptides)
Design time-course experiments to capture processing kinetics
Prepare both nuclear and cytoplasmic fractions for comprehensive analysis
Validation and quality control:
Verify detection of bands at correct molecular weights (52 kDa and 100-120 kDa)
Test multiple antibody dilutions to optimize signal-to-noise ratio
Confirm specificity with knockout or knockdown samples when available
Use multiple antibodies targeting different epitopes for critical findings
Application-specific considerations:
Data interpretation guidelines:
By adhering to these evidence-based best practices, researchers can generate reliable, reproducible data that advances understanding of NFKB2 biology and related disorders .
Ensuring reproducibility and reliability in NFKB2 antibody-based experiments requires systematic attention to multiple factors:
Comprehensive antibody documentation:
Record complete antibody information:
Validate reactivity across species used in your research
Document storage conditions and handling protocols
Standardized experimental protocols:
Establish detailed SOPs for each application
Specify critical parameters:
Include positive and negative controls in every experiment
Cell and tissue preparation consistency:
Standardize cell culture conditions
Document passage number and confluence
Use consistent stimulation protocols
Prepare nuclear and cytoplasmic fractions using consistent methods
Quantification and data analysis practices:
Validation across multiple approaches:
Verify key findings with orthogonal methods
Combine protein and mRNA analysis
Support antibody-based findings with functional assays
For patient studies, integrate with genetic and clinical data
Reporting standards:
Adhere to complete reporting guidelines
Include detailed methods sections with all parameters
Publish raw data when possible
Document limitations and potential sources of variability
Quality control measures:
Regular antibody validation
Testing of new antibody lots
Inclusion of inter-assay controls
Participation in standardization initiatives
Following these guidelines significantly improves reliability and reproducibility, particularly in challenging contexts such as patient sample analysis where limited material demands optimal experimental design .