IRF3 (Interferon Regulatory Factor 3) is a 60 kDa member of the IRF family of proteins that plays a critical role in innate immune responses, particularly against viral infections. IRF3 contains one DNA binding domain (amino acids 7-107), a nuclear export signal (amino acids 139-149), and multiple phosphorylation sites (amino acids 395-407). Following viral infection, IRF3 undergoes phosphorylation, which triggers its nuclear translocation and stimulates interferon production . The importance of IRF3 in immunological research stems from its central role in antiviral defense mechanisms and its involvement in multiple signaling pathways including the cGAS-STING pathway, which has been shown to inhibit TLR9-mediated IFN production in human plasmacytoid dendritic cells .
IRF3 antibodies are employed in several fundamental research applications:
Flow cytometry: Human IRF3 Alexa Fluor® 488-conjugated antibodies are effectively used to detect IRF3 in various cell types, including Daudi human Burkitt's lymphoma cell lines. This application requires proper fixation and permeabilization of cells .
Western blotting: IRF3 antibodies can detect human IRF3 in Western blots, allowing researchers to quantify protein expression levels and phosphorylation states .
Immunofluorescence microscopy: For visualizing cellular localization of IRF3, particularly its translocation from cytoplasm to nucleus during activation.
Immunoprecipitation: To isolate IRF3 and its binding partners for interaction studies.
ChIP assays: For studying IRF3 binding to target gene promoters.
For optimal performance of IRF3 antibodies, particularly the Human IRF3 Alexa Fluor® 488-conjugated Antibody, researchers should follow these evidence-based guidelines:
Storage temperature: Maintain at 2 to 8°C for up to 12 months from date of receipt as supplied .
Light protection: Always protect fluorophore-conjugated antibodies from light to prevent photobleaching .
Avoid freezing: Do not freeze conjugated antibodies as this can damage the fluorophore and reduce antibody performance .
Aliquoting: For frequent use, consider preparing small aliquots to minimize freeze-thaw cycles.
Buffer conditions: Maintain recommended buffer conditions as specified in product documentation.
Reconstitution: Follow manufacturer's guidelines for reconstitution of lyophilized antibodies.
Working dilutions: Prepare fresh working dilutions on the day of the experiment.
Optimizing intracellular staining for IRF3 requires careful attention to several parameters:
Fixation optimization: Use Flow Cytometry Fixation Buffer to effectively preserve cellular architecture while maintaining antibody epitope accessibility .
Permeabilization protocol: Employ Flow Cytometry Permeabilization/Wash Buffer I to ensure antibody access to intracellular IRF3 .
Antibody titration: Perform a titration series (0.1-10 μg/ml) to determine optimal antibody concentration for your specific cell type.
Stimulation conditions: For phospho-IRF3 detection, optimize viral stimulation or pathway activator concentrations and time points.
Controls:
Co-staining considerations: When combining with other antibodies, verify that fluorophores have minimal spectral overlap or perform appropriate compensation.
Incubation parameters: Optimize temperature, duration, and buffer composition for your specific experimental conditions.
When selecting and comparing IRF3 antibodies recognizing different epitopes, researchers should consider:
Epitope location: The Human IRF3 Alexa Fluor® 488-conjugated Antibody recognizes amino acids 206-427 of recombinant human IRF3 . Consider whether your experiment requires detection of:
DNA binding domain (aa 7-107)
Nuclear export signal region (aa 139-149)
Phosphorylation sites (aa 395-407)
Alternative splice form detection: Be aware that IRF3 has multiple splice variants, including:
Phosphorylation-specific detection: If studying IRF3 activation, consider phospho-specific antibodies that recognize specific phosphorylation sites.
Species cross-reactivity: Human IRF3 shares 76% amino acid identity with mouse IRF3 and 83% with pig IRF3 over the region aa 206-427 . Consider this when planning cross-species studies.
Application-specific performance: An antibody optimal for flow cytometry might not perform well in Western blotting or immunoprecipitation.
Rigorous validation of IRF3 antibody specificity should include:
Genetic controls:
IRF3 knockout cells/tissues (CRISPR-Cas9 generated)
IRF3 siRNA or shRNA knockdown samples
Overexpression systems with tagged IRF3
Peptide competition assays: Pre-incubate antibody with excess recombinant IRF3 protein (aa 206-427) before staining to verify specific binding .
Orthogonal detection methods: Compare results using:
Multiple antibodies targeting different IRF3 epitopes
Alternative detection techniques (e.g., mass spectrometry)
mRNA expression correlation with protein detection
Expected biological responses: Verify expected changes in:
Nuclear translocation following viral stimulation
Phosphorylation state changes after pathway activation
Interaction with known binding partners (e.g., STING pathway components)
Cross-reactivity testing: Check for unexpected binding to related IRF family members, particularly IRF7 which shares structural similarities.
Interpretation of IRF3 staining patterns requires understanding of:
Subcellular localization patterns:
Resting cells: Predominantly cytoplasmic IRF3 distribution
Activated cells: Nuclear accumulation following phosphorylation
Partial activation: Mixed cytoplasmic and nuclear staining
Cell type-specific considerations:
Daudi human Burkitt's lymphoma cells show detectable IRF3 levels suitable for flow cytometric analysis
Human plasmacytoid dendritic cells exhibit IRF3 regulation via the cGAS-STING pathway which affects TLR9-mediated IFN production
Primary cells vs. cell lines may show different baseline expression levels
Activation-dependent phosphorylation:
Phospho-specific antibodies reveal activation state
Multiple phosphorylation sites (aa 395-407) may show different kinetics
Correlation between phosphorylation and nuclear translocation
Expression level quantification:
Mean fluorescence intensity (MFI) can be used to quantify relative expression
Population heterogeneity may indicate different activation states
Comparison with isotype controls establishes specific staining thresholds
Researchers should be aware of potential artifacts and issues:
False positives:
Insufficient blocking leading to non-specific binding
Spectral overlap in multicolor flow cytometry
Autofluorescence, particularly in tissue samples or certain cell types
Cross-reactivity with related IRF family proteins
Overfixation causing non-specific antibody trapping
False negatives:
Technical considerations:
Inappropriate antibody dilution
Suboptimal incubation conditions
Inadequate washing steps
Sample processing delays affecting protein preservation
Distinguishing IRF3 phosphorylation states requires:
Phospho-specific antibodies:
Select antibodies targeting specific phosphorylation sites within aa 395-407
Verify site-specificity with phospho-null and phospho-mimetic mutants
Temporal analysis:
Perform time-course experiments following stimulation
Different phosphorylation sites may show distinct kinetics
Correlative approaches:
Combine phospho-detection with subcellular localization analysis
Assess DNA binding activity in parallel with phosphorylation state
Western blot analysis:
Phosphorylated IRF3 often shows mobility shift on SDS-PAGE
Use phosphatase treatment controls to confirm phosphorylation-dependent bands
Mass spectrometry:
For definitive identification of specific phosphorylation sites
Can reveal novel or less-characterized modification patterns
The cGAS-STING pathway is a critical component of innate immune sensing that converges on IRF3 activation:
Experimental design considerations:
Use IRF3 antibodies in combination with STING and cGAS antibodies for comprehensive pathway analysis
Examine IRF3 nuclear translocation as a readout for pathway activation
In human plasmacytoid dendritic cells, the cGAS-STING pathway has been shown to inhibit TLR9-mediated IFN production, requiring careful experimental design to distinguish these opposing effects
Stimulation protocols:
Cytosolic DNA stimulation (e.g., dsDNA, cGAMP)
Viral infection models (DNA vs. RNA viruses)
Chemical agonists of STING (e.g., DMXAA in mouse cells)
Readout systems:
Flow cytometry for phospho-IRF3 detection
Microscopy for IRF3 nuclear translocation
Reporter assays for IRF3-dependent transcription
Validation approaches:
Genetic manipulation of pathway components (cGAS, STING, TBK1)
Pharmacological inhibitors of specific pathway nodes
siRNA-mediated knockdown of pathway components
When designing multiplex experiments:
Panel design principles:
Surface and intracellular marker combinations:
Perform surface staining before fixation and permeabilization
Verify that fixation/permeabilization protocols are compatible with all targeted epitopes
Consider sequential staining protocols for optimal results
Pathway component co-detection:
Include upstream regulators (e.g., STING, TBK1)
Include downstream effectors (e.g., ISG products)
Consider including lineage markers for heterogeneous samples
Controls for multiplex experiments:
Single-color controls for compensation
Fluorescence-minus-one (FMO) controls
Biological controls (stimulated vs. unstimulated)
Data analysis considerations:
High-dimensional analysis techniques (tSNE, UMAP)
Boolean gating strategies for co-expression analysis
Correlation analysis between pathway components
IRF3 serves as an integration point for multiple innate immune pathways:
Experimental strategies:
Sequential or combined pathway stimulation (e.g., TLR ligands plus STING agonists)
Inhibitor studies to block specific pathway branches
Time-course analysis to determine pathway kinetics and potential sequential activation
Pathway interactions to consider:
Readout approaches:
Phospho-flow cytometry for IRF3 activation
Multiplex cytokine analysis for functional outcomes
Transcriptomics for pathway-specific gene signatures
Validation methods:
Genetic deletion of specific pathway components
Reconstitution experiments in knockout systems
Inhibitor specificity controls
Different IRF3 antibody formats offer distinct advantages:
Consider these complementary or alternative approaches:
Genetic reporter systems:
IRF3-GFP fusion proteins for live-cell imaging
Luciferase reporters driven by IRF3-responsive promoters
Split-protein complementation assays for protein-protein interactions
Mass spectrometry approaches:
For unbiased detection of IRF3 modifications
Interaction proteomics to identify binding partners
Absolute quantification of IRF3 levels
RNA-based methods:
RT-qPCR for IRF3 transcript levels
RNA-seq for global IRF3-dependent transcriptional programs
Single-cell RNA analysis for heterogeneous responses
CRISPR-based approaches:
IRF3 knockout/knockin validation
CRISPRa/CRISPRi for modulating IRF3 levels
CRISPR screens to identify IRF3 regulators
In silico approaches:
Structural modeling of IRF3 interactions
Sequence conservation analysis across species
Network analysis of IRF3-dependent pathways
IRF3 antibodies can serve as critical tools in systems immunology:
Single-cell analysis pipelines:
Combine IRF3 antibody staining with single-cell RNA-seq
CyTOF (mass cytometry) using metal-conjugated IRF3 antibodies
Spatial transcriptomics with IRF3 protein localization
Multiomics integration:
Correlate IRF3 activation with global phosphoproteomics
Link IRF3 binding (ChIP-seq) with transcriptional outputs
Connect IRF3 activation states with metabolomic changes
Mathematical modeling applications:
Use quantitative IRF3 data to parameterize computational models
Predict pathway dynamics based on IRF3 activation kinetics
Simulate perturbations to identify key regulatory nodes
Translational research contexts:
Compare IRF3 activation patterns across patient cohorts
Correlate IRF3 activation with clinical outcomes
Assess therapeutic interventions targeting IRF3-dependent pathways