This antibody is widely used in immunological and virological studies to:
Detect IRF7 Expression: In Western blotting, it identifies IRF7 in lysates from cells like Jurkat T cells or Raji B cells .
Study Viral Infections: Researchers use it to analyze IRF7’s role in restricting chronic herpesvirus latency (e.g., MHV68) and promoting MHC class I antigen presentation .
Assay IFN Responses: It aids in evaluating IRF7-mediated type I and III interferon signaling pathways .
IRF7 antibodies revealed that IRF7 restricts gammaherpesvirus latency in peritoneal B cells . For example:
IRF7-deficient mice showed increased latent viral reservoirs in the peritoneal cavity.
IRF7 was dispensable for CD8+ T cell responses but critical for suppressing viral reactivation.
In corneal endothelial cells, IRF7 disruption abolished virus-induced MHC class I upregulation, impairing CD8+ T cell priming . This highlights IRF7’s dual role in innate and adaptive immunity.
HRP-conjugated IRF7 antibodies demonstrated reduced IFN-β and IL-28 induction in IRF7-knockdown cells , confirming its necessity in antiviral signaling.
IRF7 is a key transcriptional regulator of type I interferon (IFN)-dependent immune responses, playing a crucial role in the innate immune response against DNA and RNA viruses. It regulates the transcription of type I IFN genes (IFN-α and IFN-β) and IFN-stimulated genes (ISGs) by binding to interferon-stimulated response elements (ISREs) in their promoters. IRF7 efficiently activates both IFNB and IFNA genes, mediating their induction through MyD88-independent (virus-activated) and MyD88-dependent (TLR-activated) pathways. It induces USP25 mRNA transcription in response to LPS or viral infection in a type I IFN-dependent manner. IRF7 is essential during both early and late phases of IFN gene induction, exhibiting greater importance in the late phase. In uninfected cells, it resides inactive in the cytoplasm. Upon viral infection, dsRNA exposure, or TLR signaling, it undergoes IKBKE and TBK1 kinase phosphorylation. This phosphorylation induces a conformational change, leading to dimerization and nuclear translocation, where it activates transcription of type I IFN and ISG genes with coactivators. Beyond innate immunity, IRF7 also regulates adaptive immune responses by inducing PSMB9/LMP2 expression, either directly or indirectly via IRF1. It binds to the EBV EBNA1 Q promoter (Qp), potentially regulating EBV latency. Finally, IRF7 activates distinct gene expression programs in macrophages, modulating their anti-tumor properties.
References supporting IRF7 function:
Interferon Regulatory Factor 7 (IRF7) is a transcription factor that functions as a master regulator of type I interferon responses during viral infections. IRF7 plays critical roles in both innate and adaptive immunity by regulating interferon production and mediating antigen presentation functionality. Research has identified IRF7 as essential for the production of type I interferons, particularly IFN-β, following viral detection . IRF7 deficiency has been linked to severe respiratory viral infections, including those caused by SARS-CoV-2, influenza virus, respiratory syncytial virus, and adenovirus, highlighting its importance in antiviral defense mechanisms . Beyond its role in infectious disease research, IRF7 has emerged as a significant factor in cancer research, particularly in prostate cancer where nuclear localization of IRF7 combined with PTEN-loss correlates with poorer patient outcomes .
HRP (horseradish peroxidase)-conjugated IRF7 antibodies offer distinct advantages over unconjugated versions by eliminating the need for secondary antibody incubation in detection workflows. While unconjugated IRF7 antibodies (such as the 22392-1-AP) require a separate secondary antibody step , HRP-conjugated versions streamline experimental protocols by combining target recognition and enzymatic detection capabilities in a single reagent. This conjugation particularly benefits Western blot, immunohistochemistry (IHC), and ELISA applications by:
Reducing protocol time and washing steps
Minimizing cross-reactivity issues from secondary antibodies
Enhancing signal consistency through fixed enzyme-to-antibody ratios
Providing more direct quantification of target expression
When selecting between conjugated and unconjugated versions, researchers should consider their specific experimental design, the abundance of their target protein, and the detection sensitivity required.
IRF7 antibodies serve multiple crucial applications in viral infection research:
Research has demonstrated that IRF7 plays dual roles in corneal endothelial cells after HSV-1 infection by contributing to both type I interferon responses and mediating viral infection-induced MHC class I upregulation, which is essential for priming CD8 T cell immunity . This makes IRF7 antibodies valuable tools for studying both innate and adaptive immune responses to viral challenges.
Optimal dilution of IRF7 antibody varies significantly by application methodology and specific experimental design. Based on established protocols for unconjugated antibodies (which provide reference points for HRP-conjugated versions):
For HRP-conjugated versions, initial dilutions should typically be higher (less concentrated) than unconjugated counterparts. Empirical determination through titration experiments remains essential for achieving optimal signal-to-noise ratios in each specific experimental system .
Comprehensive validation of IRF7 antibody specificity requires multiple complementary approaches:
Genetic validation: Use IRF7 knockdown/knockout systems as negative controls. In published research, IRF7 knockdown models showed impaired IFN-β production, confirming antibody specificity by demonstrating reduced signal .
Stimulation studies: Treat cells with interferon or viral mimetics to upregulate IRF7 expression. Proper antibodies will show increased signal intensity correlating with activation stimulus duration/strength.
Multi-application concordance: Verify consistent molecular weight detection across Western blot (approximately 55 kDa for IRF7), appropriate subcellular localization in immunofluorescence (cytoplasmic with nuclear translocation upon activation), and specific tissue staining patterns in IHC .
Recombinant protein controls: Use purified recombinant IRF7 in Western blots and blocking experiments to confirm antibody recognition specificity.
Cross-reactivity assessment: Test against tissue samples from IRF7-deficient models and closely related proteins (particularly other IRF family members) to evaluate potential cross-reactivity.
The gold standard validation includes rescue experiments where reintroduction of IRF7 expression in knockout systems restores antibody detection, as demonstrated in studies where "impaired IFN-β production by IRF7 ΔDBD was regained by IRF7 DNA transfection" .
Studying IRF7 nuclear translocation during viral infection requires particular methodological considerations:
Temporal dynamics: IRF7 nuclear translocation occurs in a time-dependent manner following infection. Design time-course experiments capturing both early (0.5-2 hours) and later timepoints (6-24 hours) post-infection to document the complete translocation profile.
Fixation methodology: Paraformaldehyde (4%) fixation preserves phosphorylation status and subcellular localization. Avoid methanol fixation which can disrupt phospho-epitopes critical for activated IRF7 detection.
Fractionation controls: When performing nuclear/cytoplasmic fractionation for Western blot analysis, include markers for both compartments (e.g., HDAC1 for nuclear fraction, GAPDH for cytoplasmic fraction) to confirm separation quality.
Quantification approach: For immunofluorescence studies, employ nuclear:cytoplasmic ratio quantification rather than simple positive/negative scoring. Research has shown that "a high ratio of nuclear:cytoplasmic IRF7 staining in cancers" correlates with prognosis in prostate cancer patients .
Phosphorylation status: Consider using phospho-specific antibodies alongside total IRF7 antibodies to distinguish between inactive and activated forms.
Confocal microscopy optimization: Use appropriate z-stack imaging to accurately capture nuclear versus perinuclear localization, which can be misinterpreted in standard epifluorescence microscopy.
Based on published research demonstrating IRF7's previously unrecognized role in MHC class I induction and antigen presentation , optimal experimental design should include:
System preparation:
Generate IRF7-deficient cell models through CRISPR/Cas9 targeting of the DNA binding domain (similar to IRF7 ΔDBD models described in the literature)
Confirm functional disruption through type I IFN production assays
Prepare matched wild-type and IRF7-deficient cells for comparative analysis
Viral infection model:
Select appropriate viral system (HSV-1 has been validated)
Determine optimal multiplicity of infection (MOI) and infection duration
Include UV-inactivated virus controls to distinguish between viral replication-dependent and independent effects
MHC class I expression analysis:
Measure surface MHC class I levels by flow cytometry before and after infection
Perform Western blot analysis of total MHC class I protein
Quantify MHC class I mRNA through qPCR
Functional antigen presentation assessment:
Develop co-culture systems with virus-specific memory CD8 T cells
Measure T cell activation markers and cytokine production
Quantify cytotoxic T lymphocyte (CTL) activity against infected cells
Rescue experiments:
Reintroduce wild-type IRF7 to knockout models
Test domain-specific mutants to identify critical regions for MHC regulation
Validate restoration of both type I IFN production and MHC class I induction
This comprehensive approach would provide mechanistic insights into the dual role of IRF7 in both innate immunity (interferon production) and adaptive immunity (antigen presentation) .
When investigating IRF7 in cancer research, particularly prostate cancer where it has demonstrated prognostic value , researchers should consider:
Expression pattern analysis:
Distinguish between nuclear and cytoplasmic IRF7 localization
Implement multiplex staining with other markers (e.g., PTEN) for prognostic assessment
Quantify nuclear:cytoplasmic IRF7 ratio through digital image analysis
Survival signaling pathways:
Investigate IRF7's interaction with radiation response pathways
Monitor stem-like cell population changes after IRF7 manipulation
Assess type I interferon signaling network responses in IRF7-manipulated cancer models
Therapeutic response prediction:
Correlate IRF7 expression patterns with treatment outcomes
Evaluate IRF7 as a biomarker for radiation therapy resistance
Investigate combination treatments targeting IRF7-dependent pathways
Technical optimization:
For IHC applications, utilize TE buffer pH 9.0 for optimal antigen retrieval
Implement multiplex immunofluorescence to simultaneously visualize IRF7 and PTEN status
Develop quantitative scoring systems incorporating both intensity and localization
When encountering weak or absent IRF7 antibody signals, implement a systematic troubleshooting approach:
For research focusing on IRF7 in viral infection models, remember that IRF7 expression is dynamically regulated and peaks at specific timepoints post-infection. Capturing these temporal dynamics is essential for successful detection.
For samples with low IRF7 expression levels, several methodological enhancements can improve detection sensitivity:
Signal amplification systems:
Employ tyramide signal amplification (TSA) for IHC/IF applications
Utilize high-sensitivity chemiluminescent substrates for Western blot
Consider biotin-streptavidin amplification systems for particularly challenging samples
Sample enrichment:
Implement nuclear/cytoplasmic fractionation to concentrate IRF7
Utilize immunoprecipitation before Western blot analysis
Consider cell sorting to isolate relevant populations in heterogeneous samples
Protocol optimization:
Extend primary antibody incubation time (overnight at 4°C)
Reduce washing stringency while maintaining specificity
Optimize blocking conditions to improve signal-to-noise ratio
IRF7 induction:
When possible, stimulate samples with type I interferons or TLR agonists
Include positive control samples where IRF7 has been activated
Detection system selection:
For Western blot: Select high-sensitivity femto-level detection substrates
For IHC: Implement polymer-based detection systems rather than traditional ABC methods
For IF: Utilize high-quantum-yield fluorophores and sensitive detection systems
These strategies are particularly important when studying IRF7 in non-lymphoid tissues or in conditions where its expression may be suppressed.
Optimizing multiplex protocols with IRF7 antibody requires careful consideration of several technical factors:
Antibody compatibility assessment:
Verify primary antibodies originate from different host species
Test each antibody individually before combining
Confirm no cross-reactivity between detection systems
Sequential staining approach:
Begin with the weakest signal (often IRF7 in non-stimulated conditions)
Implement heat or chemical stripping between rounds if using the same fluorophore class
Consider tyramide-based approaches for sequential same-species antibodies
Panel design for IRF7 studies:
Imaging optimization:
Employ spectral unmixing for closely overlapping fluorophores
Collect single-stain controls for each fluorophore
Establish consistent exposure settings based on positive controls
Quantification methodology:
Develop algorithms to quantify nuclear:cytoplasmic IRF7 ratios
Implement co-localization analysis for pathway interaction studies
Consider machine learning approaches for complex pattern recognition
Research has successfully employed multiplexed staining to simultaneously evaluate IRF7 and PTEN in cancer tissues, demonstrating that "a combined score comprising high nuclear IRF7 expression and low PTEN expression defined the worst prognosis cases" . This validates the feasibility and value of multiplex approaches with IRF7 antibodies.
IRF7 antibodies are valuable tools for investigating genetic deficiencies associated with viral susceptibility:
Clinical diagnostic applications:
Assess IRF7 protein expression in patients with severe or recurrent viral infections
Correlate IRF7 expression with genotype in patients carrying IRF7 variants
Monitor IRF7 activation in response to stimulation in patient-derived cells
Variant characterization methodology:
Express identified IRF7 variants (e.g., R37H, T254A) in cellular models
Assess protein expression and stability by Western blot
Evaluate nuclear translocation capacity through immunofluorescence
Quantify transcriptional activity using reporter assays
Functional immune phenotyping:
Analyze IFN-β production in patient cells after viral challenge
Assess IRF7 phosphorylation status using phospho-specific antibodies
Evaluate downstream interferon-stimulated gene induction
Research has identified that "autosomal recessive IRF7 deficiency was previously reported in three patients with single critical influenza or COVID-19 pneumonia episodes" and that these patients' cells "produced no detectable type I and III IFNs, except IFN-β" . These findings highlight the clinical relevance of IRF7 assessment in viral susceptibility evaluation.
IRF7 antibodies are becoming increasingly important in cancer research:
Prognostic biomarker development:
Evaluate nuclear IRF7 localization in tumor samples
Implement multiplexed assessment with PTEN and other markers
Correlate expression patterns with clinical outcomes
Therapeutic resistance mechanisms:
Investigate IRF7's role in radiotherapy resistance
Examine connections between IRF7 and cancer stem cell populations
Assess IRF7-dependent type I interferon signaling in treatment response
Therapeutic target validation:
Monitor IRF7 modulation after experimental treatments
Evaluate combination approaches targeting IRF7-dependent pathways
Develop screening platforms for compounds affecting IRF7 activity
Precision medicine applications:
Stratify patients based on IRF7/PTEN expression profiles
Tailor treatment approaches based on IRF7 status
Monitor treatment efficacy through changes in IRF7 activation
Research has demonstrated that IRF7 "is a key mediator of this stress-responsive signature and is required for the occurrence of stem-like populations in response to low-dose fractionated radiation in vitro and in vivo" and that "IRF7 can support both the expression of a network of stress responsive Type1 interferon genes and also the survival of cells treated with radiation" . These findings position IRF7 as a potential therapeutic target and biomarker in cancer treatment.
Integrating IRF7 antibody-based detection with multi-omics approaches enables comprehensive pathway analysis:
Correlative experimental design:
Design studies that collect matched samples for antibody-based detection, transcriptomics, and proteomics
Implement time-course analyses to capture dynamic regulation
Include appropriate cellular fractionation for nuclear versus cytoplasmic signaling
Methodological integration:
Validate transcriptomic findings at protein level using IRF7 antibodies
Correlate post-translational modifications identified in proteomics with IRF7 activation status
Use antibody-based sorting/enrichment before omics analysis to focus on IRF7-expressing populations
Data integration approaches:
Implement pathway analysis incorporating IRF7-dependent genes
Develop computational models integrating transcriptomic, proteomic, and functional data
Utilize network analysis to identify key nodes in IRF7-mediated responses
Research has successfully implemented such integrated approaches, demonstrating that "our 'comprehensive' network highlights biological processes including viral immune response, proliferation (nucleosome assembly) and keratins" and that "the irradiated control (IRF7 wild type) network contained 13 genes of the 14 genes- 'IRF7-Sig'" . These integrated approaches provide mechanistic insights beyond what can be achieved with antibody-based detection alone.
Optimizing Western blot protocols for IRF7 detection requires attention to several critical parameters:
Sample preparation:
Include phosphatase inhibitors to preserve activation-dependent phosphorylation
Consider nuclear/cytoplasmic fractionation for analyzing translocation
Maintain cold chain throughout lysis to prevent degradation
Gel percentage selection:
Transfer optimization:
Implement wet transfer for larger proteins like IRF7
Optimize transfer time and voltage for complete transfer
Verify transfer efficiency with reversible stains
Blocking and antibody conditions:
Detection considerations:
These optimizations are particularly important when analyzing IRF7 in experimental systems where its expression may be dynamically regulated or present at low levels.
When employing IRF7 antibodies in viral infection research models:
Temporal dynamics:
Design time-course experiments capturing IRF7 induction and activation
Include early timepoints (2-6 hours) to capture initial responses
Extend analysis to later timepoints (24-72 hours) for adaptive response
Cell type considerations:
Recognize cell-type specific differences in IRF7 basal expression
Include relevant controls (e.g., IRF7-deficient cells) for each cell type
Consider primary cells versus cell lines for physiological relevance
Viral strain selection:
Choose appropriate viral systems (HSV-1, influenza, SARS-CoV-2)
Include UV-inactivated controls to distinguish replication-dependent effects
Consider MOI optimization for each experimental endpoint
Functional correlates:
Therapeutic context:
Design intervention studies (timing, dose) based on IRF7 activation kinetics
Consider combinatorial approaches targeting multiple pathway components
Include clinically relevant endpoints beyond molecular markers