Antibodies (immunoglobulins) are Y-shaped proteins produced by B cells to neutralize pathogens by binding specific epitopes on antigens . Each antibody contains a variable region (paratope) that recognizes unique epitopes and a constant region (Fc domain) that interacts with immune effector cells. Class switching allows antibodies to adapt their effector functions (e.g., IgG, IgA, IgE) without altering antigen specificity .
Monoclonal antibodies are homogeneous populations of antibodies produced by clonal B cells or hybridomas. Their applications include:
Cancer treatment: Targeted mAbs (e.g., anti-HER2, anti-PD-1) deliver toxins or recruit immune cells to tumor sites .
Autoimmune diseases: TNF-α inhibitors (e.g., infliximab) reduce inflammation in conditions like rheumatoid arthritis .
Diagnostic tools: mAbs enable antigen detection via assays like Western blot and immunohistochemistry .
A novel class of therapeutic antibodies combines cytokines with antibody scaffolds to enhance selectivity:
ANV419: An IL-2/anti-IL-2 fusion protein engineered to activate effector T cells while minimizing regulatory T cell expansion . Preclinical studies demonstrate efficacy in syngeneic cancer models, particularly when combined with checkpoint inhibitors .
The absence of "IAN2 Antibody" in existing literature suggests it may represent a novel or proprietary compound. To characterize IAN2, researchers would need to:
Determine its target antigen and binding specificity.
Assess its isotype (e.g., IgG, IgA) and effector functions.
Investigate therapeutic potential in preclinical models (e.g., tumor xenografts).
IAN2 (GTPase IMAP family member 6) is a protein with a canonical amino acid length of 292 residues and a molecular mass of 32.9 kilodaltons in humans. It belongs to the AIG1/Toc34/Toc159-like paraseptin GTPase protein family and is primarily localized in the cytoplasm. Its significance stems from its wide expression across multiple tissue types and potential roles in immune regulation and cellular processes. Understanding IAN2 function contributes to broader research on cellular signaling and immune system regulation .
IAN2 antibodies are primarily utilized in Western Blot (WB) and ELISA applications. These techniques allow researchers to detect and quantify IAN2 protein in biological samples, respectively. The antibody's specificity for Arabidopsis also makes it valuable for plant biology research examining conserved immune pathways . When designing experiments, researchers should consider the specific isoform of interest, as three distinct isoforms have been identified that may exhibit different expression patterns or functional properties.
Selection should be based on multiple factors including:
Target specificity - confirm the antibody recognizes your specific IAN2 isoform of interest
Host species - consider potential cross-reactivity issues
Application compatibility - verify validation for your specific application (WB, ELISA, etc.)
Clonality - polyclonal antibodies offer broader epitope recognition while monoclonals provide higher specificity
Validation data - review available data demonstrating specificity in your experimental system
For Arabidopsis research specifically, commercially available antibodies from suppliers like CUSABIO and MyBioSource have been developed with appropriate reactivity profiles .
Robust experimental design with IAN2 antibodies requires multiple controls:
Positive control: Sample known to express IAN2 (based on tissue expression data)
Negative control: Sample known to lack IAN2 expression
Isotype control: Non-specific antibody of the same isotype and host species
Blocking peptide control: Pre-incubation of antibody with target antigen
Loading/housekeeping controls: For normalization in quantitative applications
These controls are critical for validating antibody specificity and distinguishing true signal from background. For Western blots specifically, molecular weight markers help confirm the expected 32.9 kDa band for canonical IAN2, though variant isoforms may appear at different molecular weights .
Optimizing Western blot protocols for IAN2 detection requires attention to several parameters:
Sample preparation: Complete lysis with appropriate buffers containing protease inhibitors
Protein loading: 20-50 µg total protein per lane typically provides adequate detection
Separation: 10-12% acrylamide gels effectively resolve the 32.9 kDa IAN2 protein
Transfer conditions: Semi-dry transfer at 15V for 30 minutes or wet transfer at 100V for 1 hour
Blocking: 5% non-fat dry milk in TBST for 1 hour at room temperature
Primary antibody: Dilution ranges typically between 1:500-1:2000, incubate overnight at 4°C
Secondary antibody: HRP-conjugated anti-host IgG at 1:5000-1:10000 for 1 hour
Detection: Enhanced chemiluminescence with exposure times optimized based on signal strength
For plant samples, additional steps to remove interfering compounds may be necessary, as commercial IAN2 antibodies show reactivity with Arabidopsis .
ELISA-based quantification of IAN2 involves several critical considerations:
Antibody pairing: For sandwich ELISA, use capture and detection antibodies recognizing different epitopes
Standard curve: Generate using recombinant IAN2 protein at 0-1000 ng/mL
Sample dilution: Perform serial dilutions to ensure readings fall within the linear range
Coating concentration: Typically 1-5 µg/mL of capture antibody
Blocking: 1-3% BSA in PBS to minimize background
Sample volume: 100 µL per well standardized across plate
Incubation times: 1-2 hours at room temperature for each step
Washing: At least 3-5 washes with PBS-T between steps
Detection system: HRP-conjugated secondary antibody with TMB substrate
Data analysis: Four-parameter logistic regression for standard curve fitting
The current commercial IAN2 antibodies have been validated for ELISA applications, particularly with plant samples .
Investigating IAN2 protein-protein interactions requires specialized approaches:
Co-immunoprecipitation (Co-IP): Use IAN2 antibodies to pull down protein complexes
Crosslinking may be necessary for transient interactions
Use gentle lysis conditions to preserve native complexes
Include RNase/DNase treatment to eliminate nucleic acid-mediated associations
Proximity ligation assay (PLA): Visualize interactions in situ
Requires antibodies from different host species
Provides spatial information about interaction sites within cells
FRET/BRET analysis: For live-cell interaction studies
Requires fusion proteins with appropriate fluorophores/luciferase
Allows real-time monitoring of dynamic interactions
Yeast two-hybrid screening: For novel interaction partner discovery
Use IAN2 as bait to screen cDNA libraries
Validate hits with reciprocal Co-IP experiments
As a member of the GTPase family, IAN2 likely engages in numerous protein interactions that regulate its function and localization within the cell .
Addressing cross-reactivity issues requires systematic troubleshooting:
Epitope mapping: Identify the specific sequence recognized by the antibody
Peptide arrays can pinpoint exact binding regions
Knowledge of epitope helps predict potential cross-reactivity
Knockout/knockdown validation: Test antibody in systems lacking IAN2
CRISPR-Cas9 knockout cells provide definitive negative controls
siRNA knockdown samples should show reduced signal intensity
Pre-absorption: Incubate antibody with purified antigen before application
Specific signal should disappear while cross-reactive bands remain
Alternative antibody clones: Test multiple antibodies targeting different epitopes
Consistent detection across antibodies increases confidence
Mass spectrometry validation: Confirm identity of detected proteins
Immunoprecipitate the target and perform MS analysis
Verify presence of IAN2 peptides in the detected band
This systematic approach is particularly important since IAN2 belongs to a family of related proteins with potential sequence homology .
Studying IAN2 localization and trafficking requires dynamic imaging approaches:
Immunofluorescence microscopy:
Fix cells with 4% paraformaldehyde (10 min, RT)
Permeabilize with 0.1% Triton X-100 (5 min, RT)
Block with 5% normal serum (1 hour, RT)
Incubate with anti-IAN2 primary antibody (1:100-1:500, overnight, 4°C)
Apply fluorophore-conjugated secondary antibody (1:500, 1 hour, RT)
Counterstain nuclei with DAPI (1:1000, 5 min, RT)
Live-cell imaging with fluorescent fusion proteins:
Generate IAN2-GFP expression constructs
Transfect cells using appropriate method (lipofection, electroporation)
Image using confocal microscopy with environmental control
Photobleaching techniques (FRAP/FLIP) can assess protein mobility
Subcellular fractionation with Western blot:
Separate nuclear, cytoplasmic, membrane, and organelle fractions
Confirm fraction purity with compartment-specific markers
Probe fractions with anti-IAN2 antibody
Based on current knowledge, IAN2 predominantly localizes to the cytoplasm, though specific subcompartment localization may vary by cell type or condition .
IAN2 expression analysis requires careful experimental design and data interpretation:
| Tissue Type | Relative IAN2 Expression | Detection Method |
|---|---|---|
| Immune cells | Moderate to high | RT-qPCR, Western blot |
| Epithelial tissue | Low to moderate | IHC, Western blot |
| Neural tissue | Variable | RT-qPCR, RNAseq |
| Plant tissue (Arabidopsis) | Detectable | Western blot, ELISA |
| Disease-associated tissue | Context-dependent | Various methods |
When interpreting expression data:
Normalize to appropriate housekeeping genes/proteins
Consider isoform-specific expression patterns
Compare multiple detection methods for confirmation
Account for post-translational modifications that may affect antibody recognition
Validate findings across multiple biological replicates
IAN2 is widely expressed across many tissue types, making comparative analysis valuable for understanding tissue-specific functions .
Distinguishing between the three reported IAN2 isoforms requires targeted strategies:
Isoform-specific PCR primers:
Design primers spanning unique exon junctions
Optimize annealing temperatures for specificity
Validate with known isoform-expressing controls
Custom antibodies:
Generate antibodies against isoform-specific regions
Validate using overexpression systems of each isoform
Mass spectrometry:
Identify unique peptide sequences from each isoform
Develop selected reaction monitoring (SRM) assays
2D gel electrophoresis:
Separate isoforms by both pI and molecular weight
Confirm identity via Western blot or MS analysis
Targeted RNA-seq analysis:
Quantify isoform-specific exon usage
Calculate relative abundance of each transcript variant
This comprehensive approach allows researchers to determine which specific isoform(s) are relevant to their biological system of interest .
Understanding IAN2's functional role requires comparison with related proteins:
Comparative biochemical analysis:
GTPase activity assays (colorimetric phosphate release, fluorescent GTP analogs)
Nucleotide binding preferences (GTP vs. GDP affinity)
Structural analysis (X-ray crystallography, cryo-EM)
Evolutionary conservation studies:
Phylogenetic analysis across species
Identification of conserved functional domains
Cross-species rescue experiments
Interactome comparison:
Mass spectrometry-based interactor identification
Yeast two-hybrid screening against cDNA libraries
Bioinformatic prediction of interaction networks
As a member of the AIG1/Toc34/Toc159-like paraseptin GTPase family, IAN2 likely shares structural features with related proteins while potentially having divergent functions in specific cellular contexts .
Optimal handling and storage practices for IAN2 antibodies include:
Storage temperature: Store at 2-8°C for short-term (1-2 weeks) or aliquot and store at -20°C for long-term
Freeze-thaw cycles: Minimize to ≤5 cycles by preparing small working aliquots
Buffer composition: Standard antibody solutions contain 0.1% sodium azide and protein stabilizers
Working dilution preparation: Dilute in appropriate buffer immediately before use
Stability indicators: Monitor for signs of precipitation, color change, or reduced activity
Temperature control: Maintain cold chain during shipping and handling
Documentation: Record lot numbers, receipt dates, and performance characteristics
Proper storage and handling are critical for maintaining antibody specificity and sensitivity over time .
Comprehensive antibody validation strategies include:
Genetic controls:
Test in IAN2 knockout/knockdown systems
Compare with IAN2 overexpression samples
Antigen competition:
Pre-incubate antibody with excess purified antigen
Specific signal should be eliminated or significantly reduced
Independent detection methods:
Compare results with alternative antibodies targeting different epitopes
Correlate with mRNA expression data
Cross-reactivity assessment:
Test against closely related family members
Examine reactivity in species expected to lack homologs
Application-specific validation:
For Western blot: Confirm expected molecular weight (32.9 kDa for canonical form)
For ELISA: Establish dose-response relationship and specificity
This multi-faceted validation approach ensures experimental results are attributable to specific IAN2 detection rather than artifacts or cross-reactivity .
Adapting IAN2 research methods across model systems requires specific considerations:
Plant systems (e.g., Arabidopsis):
Modified extraction buffers to handle plant-specific compounds
Increased detergent concentrations may be needed for membrane extraction
Commercial antibodies from CUSABIO and MyBioSource show reactivity
Mammalian cell culture:
Standard RIPA or NP-40 buffers are typically sufficient
Cell-type specific optimization of lysate preparation may be necessary
Tissue specimens:
Optimized fixation protocols for immunohistochemistry (4% PFA, 10% NBF)
Antigen retrieval methods may need empirical determination
Consider tissue-specific expression levels for loading adjustments
Bacteria/yeast expression systems:
Codon optimization for heterologous expression
Inclusion body solubilization protocols for purification
Tag selection to minimize interference with protein function
These methodological adaptations ensure comparable and reliable results across diverse experimental models .