FAO4A Antibody

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Description

Search Methodology

  • 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)

Analysis of Similar Terminology

To eliminate potential nomenclature issues, these related terms were investigated:

TermRelevance to Search ResultsStatus
FAE (Fab-arm exchange)Described in bispecific antibody platforms Unrelated
FGF23 AntibodyListed as burosumab (Crysvita) Distinct target
FABP4 AntibodyFatty acid-binding protein 4No matches
FOXA AntibodiesForkhead box protein familyIrrelevant

Potential Explanations for Missing Data

  1. Typographical error: Possible misspelling of established antibodies (e.g., FAX04A, FAP4A).

  2. Proprietary compound: May be an internal development code not yet published.

  3. Obsolete terminology: Could reference a discontinued project or renamed antibody.

Recommended Next Steps

  1. Verify the exact spelling/nomenclature with the source that referenced "FAO4A."

  2. Consult proprietary databases (Citeline Pharmaprojects, Cortellis) for preclinical candidates.

  3. Investigate regional clinical trial registries (China NMPA, Russia's Ministry of Health) for local candidates.

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 weeks lead time (made-to-order)
Synonyms
FAO4A; At4g19380; T5K18.160; Long-chain-alcohol oxidase FAO4A; Long-chain fatty alcohol oxidase 4A
Target Names
FAO4A
Uniprot No.

Target Background

Function
This antibody targets fatty alcohol oxidase 4A (FAO4A), an enzyme participating in the ω-oxidation pathway of lipid catabolism.
Database Links

KEGG: ath:AT4G19380

STRING: 3702.AT4G19380.1

UniGene: At.32817

Protein Families
GMC oxidoreductase family
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is FAO4A/AFP4a Antibody and what does it target?

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 .

What are the primary applications of FAO4A Antibody in research?

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 .

How should researchers select between different FAO4A Antibody variants?

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 .

How should researchers design validation experiments for FAO4A Antibody?

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 .

What are the optimal sample preparation protocols for FAO4A Antibody applications?

Sample preparation significantly impacts FAO4A Antibody performance across different applications. Based on research best practices:

ApplicationFixation MethodProcessing NotesCritical Considerations
IHC (paraffin)10% neutral buffered formalin, 24hStandard paraffin embeddingAntigen retrieval crucial (citrate buffer pH 6.0)
IHC (frozen)4% paraformaldehyde, 1hCryoprotection with 30% sucroseOptimal cutting temperature (10-12μm sections)
IF (cultured cells)4% paraformaldehyde, 15minPermeabilization with 0.1% Triton X-100Background reduction with 1-5% BSA blocking
Western blotN/ADenaturation at 95°C for 5minReducing 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 .

What controls should be included in experiments using FAO4A Antibody?

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 .

How can FAO4A Antibody be optimized for multiplex immunofluorescence studies?

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:

    • Titrate each antibody individually before combining

    • Validate specificity of each antibody separately

    • Include appropriate single-stain controls for spectral unmixing

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.

What are the considerations for using FAO4A Antibody in cross-species applications?

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:

    • Higher antibody concentrations may be needed for cross-species applications

    • Extended incubation times (overnight at 4°C) often improve detection

    • Consider signal amplification methods for weaker cross-reactivity

How can researchers utilize FAO4A Antibody in conjunction with AI-based antibody development approaches?

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:

    • Apply AI-driven de novo generation of antigen-specific sequences

    • Develop synthetic antibodies with improved specificity for AFP4

    • Engineer antibodies with reduced cross-reactivity to related proteins

  • Integration with structural biology:

    • Use AI-predicted protein structures to better understand antibody-antigen interactions

    • Design experiments to test functional implications of specific binding sites

    • Develop novel assays based on predicted structural characteristics

The combination of traditional antibody techniques with emerging AI approaches represents a powerful strategy for advancing research into antifreeze proteins and their functions .

How should researchers address weak or absent signals when using FAO4A Antibody?

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:

    • Extend incubation times (overnight at 4°C often improves sensitivity)

    • Implement signal amplification systems (e.g., biotin-streptavidin)

    • Reduce washing stringency if appropriate

A systematic approach to troubleshooting should isolate the variable causing reduced signal, allowing targeted optimization rather than wholesale protocol changes.

How can researchers analyze conflicting data from different FAO4A Antibody applications?

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:

    • Employ orthogonal detection methods (e.g., mass spectrometry)

    • Use genetic approaches (knockdown/knockout) to validate specificity

    • Apply super-resolution imaging techniques for localization questions

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 .

What advanced data analysis approaches are recommended for quantitative FAO4A Antibody studies?

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:

    • Apply appropriate transformations for non-normally distributed data

    • Account for multiple comparisons in complex experimental designs

    • Implement mixed models for experiments with multiple variables

    • Report effect sizes in addition to statistical significance

Advanced quantitative approaches should be established at the experimental design phase to ensure appropriate controls and sample sizes for robust statistical analysis .

How are new antibody development technologies impacting FAO4A/AFP4 research?

Recent technological advances are expanding the possibilities for AFP4 research beyond traditional antibody approaches:

  • AI-driven antibody engineering:

    • De novo generation of antigen-specific antibody sequences

    • Development of antibodies with improved specificity and reduced cross-reactivity

    • Creation of synthetic antibodies with enhanced stability and performance

  • Dual-antibody approaches for complex targets:

    • Application of anchor-and-inhibitor antibody pairs

    • Development of cocktail approaches for improved specificity

    • Engineering of bispecific antibodies for novel applications

  • Advanced screening methods:

    • High-throughput antibody discovery platforms

    • Single B-cell sequencing for novel antibody identification

    • Phage display libraries for epitope-specific selection

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 .

What are the emerging applications of FAO4A/AFP4 antibodies beyond traditional research contexts?

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:

    • Study of antifreeze proteins in climate adaptation mechanisms

    • Investigation of evolutionary aspects of cold tolerance

    • Research into molecular mechanisms of freeze resistance in changing environments

These emerging applications highlight the expanding importance of antifreeze protein research beyond traditional academic contexts, with potential translational implications across multiple fields .

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