| Property | Value/Description |
|---|---|
| Target | VEGFR-1 (KD = 54 pM) |
| Ligand Inhibition | Blocks VEGF-A, VEGF-B, and PlGF binding |
| Mechanism | Suppresses MAPK/Akt signaling pathways |
| Half-life (in vivo) | ~5 days in murine models |
| Therapeutic Threshold | Steady-state plasma concentration: 88 µg/mL |
In preclinical breast cancer models, IMC-18F1 reduced tumor growth by:
The M18 single-chain antibody is a high-affinity variant (KD = 35 pM) derived from the 14B7 murine monoclonal antibody, optimized for anthrax toxin neutralization .
| Antibody | KD (pM) | Key Mutations |
|---|---|---|
| 14B7 | ~1,000 | Baseline (parent antibody) |
| 1H | ~50 | Light chain S56P, Q78L |
| M18 | 35 | Heavy chain K64E, T68I |
While not directly related to "wu:fa18f11," studies on HIV and influenza highlight design principles relevant to engineered antibodies:
HIV bNAbs: Somatic variants like VRC01-class antibodies neutralize >90% of HIV strains by targeting conserved CD4-binding sites .
Influenza bNAbs: VH6-1-encoded antibodies achieve breadth through divergent CDR H3 evolution .
The absence of explicit references to "wu:fa18f11" suggests:
The identifier may be internal or provisional.
It could relate to a variant of IMC-18F1 or M18 with unpublicized modifications.
Nomenclature discrepancies (e.g., alternate lab-specific naming conventions) may obscure direct matches.
Preclinical successes with IMC-18F1 and M18 underscore the potential of structure-guided antibody engineering for oncology and infectious diseases. Further characterization of "wu:fa18f11" would require:
Sequencing data to compare CDR regions.
Functional assays against stated targets (e.g., VEGFR-1, PA domain 4).
The wu:fa18f11 protein (UniProt Number: Q4KMC9) is an uncharacterized protein from Danio rerio (zebrafish) . While its complete characterization is still ongoing in the research community, it represents one of many zebrafish proteins being studied as part of developmental biology research. The protein is primarily expressed in zebrafish, though homologs may exist in related species. Understanding this protein contributes to our knowledge of vertebrate development, as zebrafish serve as an important model organism for studying gene function due to their transparent embryos and rapid development.
The wu:fa18f11 antibody has been validated for several research applications, primarily:
| Application | Validation Status | Notes |
|---|---|---|
| ELISA | Validated | Useful for quantitative protein detection |
| Western Blot (WB) | Validated | Effective for protein expression analysis |
For researchers planning to use this antibody in other applications such as immunohistochemistry (IHC), immunocytochemistry (ICC), or flow cytometry, preliminary validation experiments are strongly recommended as these applications are not explicitly listed in the current validation data.
The wu:fa18f11 antibody should be stored at either -20°C or -80°C for long-term preservation of activity . The antibody formulation contains 0.03% Proclin 300 as a preservative and 50% glycerol as a stabilizer , which helps maintain antibody integrity during freeze-thaw cycles.
For researchers working with this antibody:
Aliquot upon first thaw to minimize freeze-thaw cycles
When working with the antibody, keep it on ice
Return to -20°C or -80°C promptly after use
Monitor for signs of degradation such as precipitation or loss of activity in control experiments
Validating antibody specificity is essential for experimental rigor. For the wu:fa18f11 antibody, which targets a zebrafish protein, consider these validation approaches:
Positive and negative controls: Use recombinant Danio rerio wu:fa18f11 protein as a positive control . The antibody product comes with 200μg of recombinant immunogen protein that can serve as this positive control . Additionally, the supplied 1ml pre-immune serum can function as a negative control .
Knock-down/Knock-out validation: If possible, use morpholino technology or CRISPR-Cas9 to knock down or knock out the wu:fa18f11 gene in zebrafish, then confirm reduced or absent antibody signal.
Signal specificity testing: Compare patterns of reactivity with those reported in literature or predicted based on mRNA expression data from zebrafish genomic databases.
Cross-reactivity assessment: Test the antibody on tissues where the target protein is not expected to be expressed.
This multi-faceted approach to validation follows principles similar to those used in validating broadly neutralizing antibodies in other research areas, where extensive characterization is required to confirm specificity and function .
The wu:fa18f11 antibody is specifically raised against Danio rerio (zebrafish) protein . When considering cross-species applications:
Sequence homology analysis: Before testing in other species, compare the sequence homology of the immunogen used to raise the antibody with potential homologs in target species. Higher sequence conservation suggests higher likelihood of cross-reactivity.
Epitope mapping: If the specific epitope recognized by the antibody is known, analyze its conservation across species.
Empirical testing protocol:
Begin with Western blot as it typically requires less optimization than IHC
Use positive controls from zebrafish alongside samples from the target species
Consider using higher antibody concentrations initially (2-5x recommended dilution)
Include pre-adsorption controls with the immunizing peptide
The antibody was generated using recombinant protein as the immunogen , which may recognize conformational epitopes, potentially limiting cross-reactivity to species with highly conserved three-dimensional protein structures.
Optimization strategies for the wu:fa18f11 antibody, particularly in challenging experimental conditions:
Sample preparation optimization:
For fixed tissues: Test different fixation protocols (4% PFA vs. methanol)
For protein extraction: Compare different lysis buffers with varying detergent strengths
For membrane proteins: Consider specialized extraction buffers containing appropriate detergents
Antibody incubation conditions:
Temperature variations: 4°C overnight vs. room temperature for 1-2 hours
Buffer optimization: Try different blocking agents (BSA, milk, serum)
Signal enhancement: Consider using amplification systems like tyramide signal amplification for low-abundance targets
Data from optimization experiments:
| Parameter | Standard Condition | Alternative Condition | Outcome Measure |
|---|---|---|---|
| Incubation temperature | 4°C overnight | RT for 2 hours | Signal-to-noise ratio |
| Blocking agent | 5% BSA | 5% milk | Background reduction |
| Antibody concentration | Manufacturer's recommendation | 2x, 5x dilution series | Specific signal intensity |
Similar optimization approaches have proven successful in studies of broadly neutralizing antibodies where detection of specific epitopes required careful experimental design .
For optimal Western blot results with the wu:fa18f11 antibody:
Sample preparation:
Prepare zebrafish tissue lysates in RIPA buffer containing protease inhibitors
Heat samples at 95°C for 5 minutes in Laemmli buffer containing DTT
Load 20-40 μg of total protein per lane
Gel electrophoresis and transfer:
Use 10-12% SDS-PAGE gels based on the expected molecular weight
Transfer to PVDF membrane at 100V for 1 hour in standard transfer buffer
Antibody incubation:
Block membrane with 5% non-fat milk in TBST for 1 hour at room temperature
Dilute primary antibody according to manufacturer's recommendations
Incubate overnight at 4°C with gentle rocking
Wash 3x10 minutes with TBST
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour at room temperature
Wash 3x10 minutes with TBST
Develop using enhanced chemiluminescence
Controls to include:
This approach parallels methodologies used in studies characterizing novel antibodies against target proteins, where rigorous controls are essential for result interpretation .
Developmental expression studies require careful experimental design:
Temporal expression analysis:
Collect embryos at key developmental stages (e.g., 4-cell, shield, 24 hpf, 48 hpf, 72 hpf)
Process each stage for both protein (Western blot, IHC) and mRNA (qPCR, in situ hybridization) analysis
Compare protein detection by wu:fa18f11 antibody with mRNA expression patterns
Spatial expression assessment:
Perform whole-mount immunostaining using wu:fa18f11 antibody
Use confocal microscopy for precise localization
Consider double-staining with tissue-specific markers to identify expressing cell types
Functional studies:
Design morpholino knockdown or CRISPR knockout experiments
Assess phenotypic consequences
Verify knockdown/knockout efficiency using the wu:fa18f11 antibody
Expression analysis data organization:
| Developmental Stage | Protein Expression Level | Tissue Localization | Phenotypic Association |
|---|---|---|---|
| 4-cell | Baseline measurement | Uniform distribution | N/A |
| Shield | Fold-change vs. baseline | Dorsal organizer | Pattern formation |
| 24 hpf | Fold-change vs. baseline | Tissue-specific localization | Organogenesis |
| 48 hpf | Fold-change vs. baseline | Refined expression pattern | Functional differentiation |
This developmental approach mirrors methodologies used in functional genomics analyses of antibody expression patterns in other systems .
When encountering non-specific binding with wu:fa18f11 antibody:
Blocking optimization:
Test different blocking agents (BSA, milk, normal serum, commercial blockers)
Increase blocking time from 1 hour to 2-3 hours
Consider adding 0.1-0.3% Triton X-100 to reduce hydrophobic interactions
Antibody dilution optimization:
Perform a titration series (e.g., 1:500, 1:1000, 1:2000, 1:5000)
Balance specific signal intensity against background
Consider longer incubation with more dilute antibody
Washing stringency:
Increase number of washes (from 3x to 5-6x)
Extend wash duration (from 5 min to 10-15 min)
Add higher salt concentration to wash buffer (increase NaCl from 150mM to 250-500mM)
Pre-adsorption controls:
These troubleshooting approaches align with methodologies used in antibody characterization studies where specificity determination is crucial .
For quantitative assessment of wu:fa18f11 protein levels:
Western blot quantification:
ELISA-based quantification:
Develop a sandwich ELISA using wu:fa18f11 antibody
Generate a standard curve using the supplied recombinant protein
Ensure sample dilutions fall within the linear range of the standard curve
Include technical triplicates for each biological sample
Flow cytometry for single-cell analysis (if applicable):
Optimize fixation and permeabilization for intracellular detection
Use fluorophore-conjugated secondary antibodies
Include fluorescence-minus-one (FMO) controls
Analyze median fluorescence intensity (MFI) rather than percentage positive
Comparative quantification example:
| Method | Sensitivity Range | Advantages | Limitations |
|---|---|---|---|
| Western blot | ~1-10 ng | Size information, semi-quantitative | Labor intensive, lower throughput |
| ELISA | ~10-100 pg | High sensitivity, quantitative | No size information, potential matrix effects |
| Flow cytometry | ~1000-5000 molecules/cell | Single-cell resolution, multiparameter | Requires cell suspensions, complex optimization |
Similar quantitative approaches have been employed in studies characterizing antibodies against target proteins where precise measurement of binding affinities and expression levels was critical .
The wu:fa18f11 antibody presents opportunities for evolutionary and comparative studies:
Evolutionary conservation assessment:
Test cross-reactivity with homologous proteins in other fish species (medaka, stickleback)
Examine functional conservation by comparing expression patterns across species
Correlate protein localization with gene expression data from related species
Methodological approach for cross-species studies:
Identify putative homologs through bioinformatic analysis
Align protein sequences to identify conserved domains
Design experiments testing antibody reactivity in multiple species under identical conditions
Validate findings with species-specific genetic approaches (knockout/knockdown)
Data integration strategy:
Create comparative expression maps across developmental stages
Correlate findings with transcriptomic data from multiple species
Employ phylogenetic analyses to interpret differences in antibody reactivity
This comparative approach reflects methodologies used in evolutionary studies of conserved proteins, where antibodies targeting specific epitopes can reveal functional conservation across species .
While immunoprecipitation (IP) is not explicitly listed among the validated applications, researchers might explore this approach with careful optimization:
Pre-experiment considerations:
Evaluate if the polyclonal nature of the antibody is advantageous for capturing native protein
Consider coupling the antibody to protein A/G beads for clean IP
Plan for appropriate controls (IgG control, input sample)
Optimization parameters:
Lysis buffer composition (detergent type and concentration)
Antibody amount (typically 1-5 μg per reaction)
Incubation conditions (overnight at 4°C vs. shorter times)
Washing stringency balance (maintain specific interactions while removing non-specific binding)
Validation of IP results:
Confirm specific pull-down via Western blot
Consider mass spectrometry to identify co-immunoprecipitated proteins
Validate key interactions with reciprocal IP experiments
IP-optimization experimental design:
| Parameter | Test Condition 1 | Test Condition 2 | Test Condition 3 | Readout |
|---|---|---|---|---|
| Lysis buffer | RIPA | NP-40 | Digitonin | Target protein recovery |
| Antibody amount | 1 μg | 2.5 μg | 5 μg | Pull-down efficiency |
| Incubation time | 2 hours | 4 hours | Overnight | Complex integrity |
| Wash buffers | Low stringency | Medium stringency | High stringency | Background reduction |
Such IP approaches have been crucial in studies identifying protein-protein interactions in complex biological systems .
Integrating protein and transcriptomic data provides a more comprehensive understanding of gene function:
Multi-omics experimental design:
Collect matched samples for both protein analysis (using wu:fa18f11 antibody) and RNA-seq
Process samples in parallel to minimize technical variation
Include appropriate time points to capture dynamic regulation
Correlation analysis methodology:
Quantify protein levels via Western blot or ELISA using wu:fa18f11 antibody
Normalize RNA-seq data and calculate gene expression values (TPM/FPKM)
Perform correlation analysis between protein and mRNA levels
Identify instances of concordant and discordant regulation
Biological interpretation framework:
For concordant changes: likely transcriptional regulation
For protein changes without mRNA changes: post-transcriptional regulation
For mRNA changes without protein changes: possible translational control
Integration analysis example:
| Condition | mRNA Fold Change | Protein Fold Change | Correlation | Potential Regulation |
|---|---|---|---|---|
| Treatment A | +2.5 | +2.3 | High | Transcriptional |
| Treatment B | +3.1 | +1.2 | Moderate | Mixed mechanisms |
| Treatment C | -1.8 | +1.1 | Negative | Post-transcriptional |
| Treatment D | -2.4 | -2.2 | High | Transcriptional |
This integrative approach mirrors functional genomics analyses used in studies of gene expression regulation, where correlations between transcript and protein levels provide insights into regulatory mechanisms .