The IRF3 Antibody (SL-12) is an IgG1 κ mouse monoclonal antibody produced by Santa Cruz Biotechnology and distributed by Thermo Fisher Scientific. Key specifications include:
| Parameter | Details |
|---|---|
| Target | Interferon Regulatory Factor 3 (IRF-3) (human, mouse, rat) |
| Epitope | Amino acids 56–427 of human IRF-3 |
| Applications | Western blot (WB), immunoprecipitation (IP), immunofluorescence (IF), immunohistochemistry (IHC-P) |
| Conjugates | Available in HRP, PE, FITC, Alexa Fluor® conjugates, and agarose forms |
| Purity | >90% (SDS-PAGE verified) |
This antibody is widely cited (83 citations as of 2020) for its versatility in detecting IRF-3 in diverse experimental contexts .
IRF-3 is a transcription factor activated during viral infections through phosphorylation by kinases IKKε and TBK-1. Upon phosphorylation at Ser-386, IRF-3 dimerizes, translocates to the nucleus, and binds DNA to induce type I interferon (IFN-β) production . The SL-12 antibody detects both phosphorylated and non-phosphorylated forms of IRF-3, enabling researchers to study its activation state .
The antibody has been validated for:
| Application | Details |
|---|---|
| Western Blot | Detects IRF-3 in human peripheral blood cell lysates (Thermo Fisher) |
| Immunoprecipitation | Purifies IRF-3 for downstream protein interaction studies |
| Immunofluorescence | Visualizes IRF-3 nuclear localization post-viral infection |
| IHC-P | Stains IRF-3 in paraffin-embedded tissue sections |
Critical studies using the SL-12 antibody include:
Phosphorylation Site Identification
Sialylation and Antibody Function
KEGG: spo:SPAC12G12.15
STRING: 4896.SPAC12G12.15.1
Sif3 (Sad1-interacting factor 3) is a protein found in Schizosaccharomyces pombe (fission yeast), identified by its UniProt accession Q09877. It functions as a Sad1-interacting factor, with Sad1 being a component involved in spindle pole body organization. Understanding sif3's interaction with Sad1 is crucial for investigating nuclear organization and cell division mechanisms in fission yeast, which serve as model systems for eukaryotic cell biology .
The sif3 Antibody (such as CSB-PA207736XA01SXV) is specifically designed to target the Sad1-interacting factor 3 protein in S. pombe . Unlike other antibodies targeting proteins like sib1, sib2, or sif1, the sif3 Antibody binds to epitopes unique to the sif3 protein (Q09877). This specificity makes it valuable for studies focusing on nuclear organization and protein-protein interactions involving the spindle pole body, whereas other S. pombe antibodies target different cellular pathways and functions .
When validating a sif3 Antibody for research, implement this multi-step approach:
Western blot analysis: Verify specificity by comparing wild-type and sif3Δ mutant strains
Immunoprecipitation efficiency testing: Assess antibody's ability to pull down sif3 protein
Cross-reactivity assessment: Test against closely related proteins (e.g., sif1)
Immunofluorescence validation: Confirm proper subcellular localization patterns
This comprehensive validation approach is essential given that approximately 50% of commercial antibodies fail to meet basic standards for characterization, resulting in substantial research waste . For sif3 specifically, validation should focus on demonstrating the antibody's ability to detect the protein's characteristic localization within the nuclear envelope region.
For optimal results in immunofluorescence studies with sif3 Antibody in S. pombe, follow this validated protocol:
| Step | Method | Duration | Notes |
|---|---|---|---|
| Fixation | 3.7% formaldehyde in PBS | 30-60 minutes | Preserve protein structure while maintaining antigenicity |
| Washing | PBS buffer (3X) | 5 minutes each | Remove fixative completely |
| Cell wall digestion | Zymolyase (1.0 mg/ml) | 30-45 minutes | Critical for antibody penetration |
| Permeabilization | 0.5% Triton X-100 | 10 minutes | Enable antibody access to nuclear envelope |
| Blocking | 5% BSA in PBS | 60 minutes | Reduce non-specific binding |
This protocol is essential for preserving the structural integrity of the nuclear envelope where sif3 is expected to localize, while ensuring sufficient permeabilization for antibody accessibility. Alternative methods using methanol fixation often result in distorted nuclear morphology, compromising sif3 localization studies .
For co-immunoprecipitation studies with sif3 Antibody, implement this optimized protocol:
Cell lysis optimization: Use gentle, non-ionic detergents (0.5% NP-40) in lysis buffer supplemented with protease inhibitors to preserve nuclear envelope protein complexes
Pre-clearing: Incubate lysates with protein A/G beads (1 hour at 4°C) before antibody addition to reduce non-specific binding
Antibody coupling: Covalently couple sif3 Antibody to beads using dimethyl pimelimidate (DMP) to prevent antibody contamination in mass spectrometry
Stringency gradient elution: Apply increasing salt concentrations (150mM to 500mM NaCl) to distinguish strong from weak interactors
Mass spectrometry analysis: Employ quantitative proteomics comparing sif3 pulldowns to control IgG pulldowns
This approach has successfully identified novel protein interactions in other nuclear envelope proteins in S. pombe, such as Sad1, and could reveal previously unknown sif3 interaction partners . When analyzing results, pay particular attention to proteins involved in nuclear organization, spindle formation, and chromosome segregation, as these are likely functional partners of sif3.
While sif3 is not primarily a DNA-binding protein, researchers investigating potential chromatin associations should consider:
Crosslinking optimization: Test both formaldehyde (1%) and dual crosslinkers (formaldehyde plus disuccinimidyl glutarate) to capture indirect DNA associations
Sonication parameters: Use gentler fragmentation (10-15 cycles of 15 seconds on/45 seconds off) to preserve protein complexes
Controls: Include both input controls and ChIP with unrelated antibodies targeting known nuclear proteins
Validation: Confirm ChIP results with orthogonal methods such as DamID or proximity ligation assays
Data analysis: Focus on enrichment at nuclear periphery-associated genomic regions
ChIP experiments with nuclear envelope proteins like sif3 are technically challenging but can reveal important insights into genome organization at the nuclear periphery. Results should be interpreted cautiously, distinguishing direct from indirect associations through appropriate controls .
When facing inconsistent Western blot results with sif3 Antibody, systematically troubleshoot using this approach:
Sample preparation: Ensure complete nuclear envelope extraction by using specialized buffers containing 0.1% SDS and 1% Triton X-100
Protein transfer optimization: Use semi-dry transfer with PVDF membranes for 1.5 hours at 25V for optimal transfer of nuclear envelope proteins
Blocking optimization: Test both 5% milk and 5% BSA to determine which gives lower background
Antibody concentration titration: Test dilutions ranging from 1:500 to 1:5000 to find optimal signal-to-noise ratio
Incubation conditions: Extend primary antibody incubation to overnight at 4°C to improve signal
For S. pombe nuclear envelope proteins like sif3, inconsistent results often stem from incomplete extraction or inefficient transfer of membrane-associated proteins . If problems persist, consider immunoprecipitation followed by Western blotting to enrich for the target protein before detection.
When encountering unexpected molecular weight shifts with sif3 Antibody, consider these potential explanations and verification approaches:
Post-translational modifications: Phosphorylation, SUMOylation, or ubiquitination can cause molecular weight increases
Verify with phosphatase treatment or specific PTM antibodies
Compare results under different cell cycle or stress conditions
Alternative splicing: Although rare in S. pombe, verify through RT-PCR analysis of sif3 transcripts
Protein complex stability: Some nuclear envelope proteins maintain stable interactions even in SDS-PAGE
Test more stringent denaturation conditions (8M urea, 95°C for 10 minutes)
Include reducing agents (DTT or β-mercaptoethanol) at higher concentrations
Antibody specificity issues: Confirm specificity with sif3 deletion strains or epitope-tagged strains
The predicted molecular weight of sif3 should be compared with observed weights, and any discrepancies systematically investigated using these approaches. Protein modifications can provide valuable biological insights rather than just technical artifacts .
Recent advances in computational antibody design can be applied to develop enhanced sif3 antibodies:
Epitope prediction: Utilize in silico epitope mapping to identify highly specific, accessible regions of the sif3 protein
Antibody modeling: Apply third-generation in silico antibody discovery methods to optimize antibody-antigen interactions
Stability engineering: Use computational stability evaluation to design antibodies with improved biophysical properties
Cross-reactivity screening: Implement in silico screening against the S. pombe proteome to minimize off-target binding
These computational approaches can significantly reduce antibody development time and costs while improving specificity. For example, structure-based epitope prediction can identify regions unique to sif3 that would not cross-react with other Sad1-interacting factors, enhancing antibody specificity . These methods represent the latest advancement in antibody technology, moving beyond traditional in vivo and in vitro discovery methods to rational design approaches .
When employing sif3 Antibody in advanced microscopy approaches, consider these technique-specific optimizations:
Super-resolution microscopy (STORM/PALM):
Use directly-labeled primary antibodies to minimize localization precision error
Optimize fixation to preserve nanoscale structures (particularly important for nuclear envelope proteins)
Employ dual-color imaging with established nuclear envelope markers for colocalization analysis
Live-cell imaging alternatives:
Consider complementing antibody-based approaches with fluorescently tagged sif3 constructs
Validate that tagging doesn't disrupt protein localization or function
Use CRISPR-mediated endogenous tagging to maintain native expression levels
Correlative light and electron microscopy (CLEM):
Use gold-conjugated secondary antibodies for EM visualization
Implement specialized preservation techniques for nuclear envelope ultrastructure
These advanced imaging approaches can reveal previously unknown details about sif3's spatial organization and dynamics at the nuclear envelope, potentially uncovering functional insights not possible with conventional microscopy .
While sif3 research in S. pombe and mucosal immunity studies appear unrelated, there are methodological connections worth exploring:
Structural analysis approaches: Techniques used to analyze secretory IgA structure (as seen in research on engineered Secretory Immunoglobulin A ) can inform structural studies of sif3-containing complexes
Cross-species functional analogs: Investigate whether mammalian nuclear envelope proteins share functional characteristics with sif3
Methodological parallels: Apply antibody engineering approaches from therapeutic antibody development to improve research antibodies for challenging targets like sif3
Research on secretory antibodies has pioneered methods for studying complex protein assemblies and membrane-associated structures that could be adapted for sif3 research . While direct functional parallels may be limited, methodological cross-fertilization can drive innovation in both fields.
Anticipated advancements in antibody technology will likely impact sif3 Antibody research:
AI-driven antibody optimization: Machine learning approaches being developed at institutions like Vanderbilt University Medical Center could be applied to optimize sif3 antibody binding properties
Rapid screening technologies: High-throughput methodologies like deep screening on Illumina platforms could accelerate the identification of high-affinity sif3 antibody variants
Multimodal antibodies: Development of antibodies with additional functionalities, such as proximity labeling capabilities, could expand sif3 research applications
Standardized validation: Implementation of industry-wide validation criteria would improve reliability across different sif3 antibody sources
The recent ARPA-H funding for AI-based antibody discovery ($30 million to Vanderbilt) indicates strong momentum in this field that will likely benefit research antibodies like those targeting sif3 . These developments promise to address current limitations in antibody specificity and reproducibility, enabling more reliable research outcomes.