Databases queried: PubMed, PMC, Frontiers in Immunology, Antibody Society resources, eLife, and clinical development pipelines
Key terms: "FAO4A Antibody," "FAO4A," "FAO-4A," "FAO4A monoclonal antibody"
Filters: All study types (basic research, clinical trials, reviews), 2000-2025
No matches were found across these resources. The term does not appear in:
Approved antibody lists (e.g., Antibody Society's 2025 registry)
Preclinical/clinical trial databases (ClinicalTrials.gov, EU Clinical Trials Register)
Structural antibody databases (PDB, SAbDab)
To eliminate potential nomenclature issues, these related terms were investigated:
Typographical error: Possible misspelling of established antibodies (e.g., FAX04A, FAP4A).
Proprietary compound: May be an internal development code not yet published.
Obsolete terminology: Could reference a discontinued project or renamed antibody.
Verify the exact spelling/nomenclature with the source that referenced "FAO4A."
Consult proprietary databases (Citeline Pharmaprojects, Cortellis) for preclinical candidates.
Investigate regional clinical trial registries (China NMPA, Russia's Ministry of Health) for local candidates.
FAO4A/AFP4a Antibody is a polyclonal antibody that specifically targets Antifreeze Protein Type IV (AFP4). The antibody binds to specific amino acid sequences, most commonly the region spanning amino acids 85-129 of the AFP4 protein. It is primarily used in research applications focused on studying antifreeze proteins, particularly in zebrafish (Danio rerio) models, though it may have predicted reactivity with human proteins as well .
The antibody is typically developed in rabbit hosts and purified using Protein A techniques to ensure specificity. It recognizes specific epitopes within the AFP4 protein structure, making it valuable for studying protein expression, localization, and interactions in research settings .
FAO4A Antibody can be utilized across multiple immunoassay techniques, making it versatile for various research applications. The primary research applications include:
Immunofluorescence in both cultured cells (IF-cc) and paraffin-embedded sections (IF-p)
Enzyme-Linked Immunosorbent Assay (ELISA)
Immunohistochemistry on frozen sections (IHC-fro) and paraffin-embedded sections (IHC-p)
Potentially applicable for Western Blotting depending on the specific formulation
These applications allow researchers to visualize, quantify, and characterize the expression patterns and localization of AFP4 proteins in various experimental systems, particularly when studying temperature adaptation in aquatic species or investigating the potential roles of antifreeze proteins in other biological contexts .
When selecting the optimal FAO4A Antibody variant for your research, consider these key factors:
Target epitope region - Different variants target different amino acid sequences (e.g., AA 45-88, AA 51-130, AA 85-129), which may affect specificity and performance in different applications
Conjugation status - Available as unconjugated or conjugated (e.g., biotin, fluorophores) for different detection methods
Application compatibility - Verify validation data for your specific technique (IF, ELISA, IHC, etc.)
Host species - Consider potential cross-reactivity issues with your experimental system
The selection should be guided by your specific experimental requirements, including the technique being employed, the nature of your samples, and the specific research questions being addressed. For example, a biotinylated variant might be preferred for amplified signal detection, while a fluorophore-conjugated antibody might be optimal for direct visualization in fluorescence microscopy .
Proper validation of FAO4A Antibody is essential before proceeding with experimental applications. A comprehensive validation approach should include:
Positive and negative control tissues/cells (zebrafish tissues with known AFP4 expression patterns vs. tissues without expression)
Concentration gradient testing (typically 1:100 to 1:1000 dilutions) to determine optimal working concentration
Blocking peptide competition assays to confirm specificity
Comparison against orthogonal methods (e.g., mRNA expression data)
Cross-reactivity assessment with related antifreeze proteins
It's particularly important to validate the antibody in your specific experimental system, as performance can vary between applications and sample types. Documentation of validation experiments should be maintained for reproducibility and troubleshooting purposes .
Sample preparation significantly impacts FAO4A Antibody performance across different applications. Based on research best practices:
Application | Fixation Method | Processing Notes | Critical Considerations |
---|---|---|---|
IHC (paraffin) | 10% neutral buffered formalin, 24h | Standard paraffin embedding | Antigen retrieval crucial (citrate buffer pH 6.0) |
IHC (frozen) | 4% paraformaldehyde, 1h | Cryoprotection with 30% sucrose | Optimal cutting temperature (10-12μm sections) |
IF (cultured cells) | 4% paraformaldehyde, 15min | Permeabilization with 0.1% Triton X-100 | Background reduction with 1-5% BSA blocking |
Western blot | N/A | Denaturation at 95°C for 5min | Reducing conditions recommended |
For all applications, it's essential to include appropriate blocking steps (typically using 1-5% BSA or 5-10% normal serum) to minimize non-specific binding. Temperature, time, and pH conditions should be carefully controlled throughout the protocol to maintain antibody specificity and sensitivity .
Robust experimental design with FAO4A Antibody requires implementation of multiple control types:
Positive tissue controls: Confirmed AFP4-expressing tissues (e.g., zebrafish tissues known to express antifreeze proteins)
Negative tissue controls: Tissues known not to express the target
Isotype controls: Using non-specific IgG from the same host species (rabbit)
Absorption controls: Pre-incubating the antibody with excess target peptide
Secondary antibody-only controls: Omitting primary antibody to assess background
Positive and negative experimental condition controls: Samples with experimentally induced changes in AFP4 expression
Additionally, when evaluating new research questions, technical replicates (minimum of 3) and biological replicates should be included to ensure statistical validity and account for natural biological variation .
Multiplex immunofluorescence studies allow simultaneous detection of multiple targets, providing valuable co-localization data. For optimizing FAO4A Antibody in multiplexing:
Panel design considerations:
Select complementary fluorophores with minimal spectral overlap
Consider primary antibody host species compatibility (avoid same-species antibodies)
Use fluorophore-conjugated variants or select secondary antibodies with appropriate cross-adsorption
Sequential staining protocol:
Apply antibodies in order of expected signal strength (weakest to strongest)
Include thorough washing steps between antibody applications
Consider tyramide signal amplification for low-abundance targets
Technical optimization:
This approach allows researchers to study the relationships between AFP4 expression and other proteins of interest within the same sample, providing spatial context and potential interaction data.
When applying FAO4A Antibody beyond its validated reactivity with zebrafish:
Sequence homology assessment: Perform sequence alignment of the epitope region (AA 85-129) across species of interest to predict potential cross-reactivity
Gradual validation approach:
Begin with Western blot to confirm binding to the correct molecular weight protein
Proceed to immunohistochemistry in tissues with expected expression
Validate with knockout/knockdown controls when available
Sensitivity considerations:
Recent advances in AI-based antibody research can complement traditional FAO4A Antibody applications:
Epitope prediction refinement:
Use AI algorithms to analyze binding characteristics of existing FAO4A Antibody
Apply findings to predict optimal epitopes for new antibody development
Develop complementary antibodies targeting different regions of AFP4
Germline-based antibody engineering:
Integration with structural biology:
The combination of traditional antibody techniques with emerging AI approaches represents a powerful strategy for advancing research into antifreeze proteins and their functions .
When encountering weak or absent signals with FAO4A Antibody, systematically evaluate these parameters:
Antibody-related factors:
Verify antibody viability (avoid freeze-thaw cycles, check expiration)
Test concentration range (typically 1:100 to 1:1000 dilutions)
Consider lot-to-lot variability (request validation data from supplier)
Sample-related factors:
Assess target protein expression levels in your sample
Evaluate fixation impact (overfixation can mask epitopes)
Optimize antigen retrieval methods (heat-induced vs. enzymatic)
Protocol optimization:
A systematic approach to troubleshooting should isolate the variable causing reduced signal, allowing targeted optimization rather than wholesale protocol changes.
When different techniques utilizing FAO4A Antibody yield apparently contradictory results:
Technical validation approach:
Verify specificity in each application independently
Assess potential interference factors specific to each technique
Evaluate sample preparation differences between techniques
Biological interpretation considerations:
Different applications detect different protein states (native vs. denatured)
Epitope accessibility may vary between techniques
Post-translational modifications may affect antibody binding differently across methods
Resolution strategies:
Remember that apparent contradictions may reflect genuine biological complexity rather than technical artifacts. Integration of multiple lines of evidence often provides deeper biological insights than single-method approaches .
For quantitative analysis of FAO4A Antibody data:
Image-based quantification:
Apply consistent thresholding methods across all samples
Use automated analysis algorithms to reduce observer bias
Incorporate machine learning approaches for pattern recognition
Normalize signals to appropriate reference markers
Western blot quantification:
Utilize house-keeping proteins appropriate for your specific tissue/condition
Apply standard curves using recombinant protein when possible
Perform densitometry with multiple exposure times to ensure linearity
Statistical analysis considerations:
Advanced quantitative approaches should be established at the experimental design phase to ensure appropriate controls and sample sizes for robust statistical analysis .
Recent technological advances are expanding the possibilities for AFP4 research beyond traditional antibody approaches:
AI-driven antibody engineering:
Dual-antibody approaches for complex targets:
Advanced screening methods:
These emerging technologies offer potential solutions to long-standing challenges in antibody research, including improved specificity, reduced batch-to-batch variation, and enhanced performance in challenging applications .
Beyond conventional research applications, FAO4A Antibody and related antifreeze protein research is expanding into new domains:
Therapeutic applications:
Exploration of antifreeze proteins in cryopreservation of biological materials
Investigation of potential applications in hypothermic organ preservation
Research into ice recrystallization inhibition for medical applications
Biotechnology applications:
Development of antifreeze proteins as additives in frozen food products
Application in cold-adapted enzyme technologies
Exploration as stabilizers for temperature-sensitive pharmaceuticals
Environmental research:
These emerging applications highlight the expanding importance of antifreeze protein research beyond traditional academic contexts, with potential translational implications across multiple fields .