The unconjugated SERPINF1/PEDF antibody (26045-1-AP) serves as the foundation for conjugate development. Key attributes include:
| Property | Specification |
|---|---|
| Target | SERPINF1/PEDF (UniProt: P36955) |
| Host Species | Rabbit |
| Reactivity | Confirmed in human samples (WB, IHC, IF, ELISA) |
| Molecular Weight | Observed: 46 kDa; Calculated: 46 kDa |
| Immunogen | SERPINF1/PEDF fusion protein (Ag23296) |
| Purification | Antigen-affinity purified |
| Storage | PBS with 0.02% sodium azide, 50% glycerol; stable at -20°C for 1 year |
Biotin conjugation would typically involve covalent attachment of biotin molecules to lysine residues or carbohydrate groups on the antibody, enhancing detection in assays like ELISA or flow cytometry.
Data from the unconjugated antibody provide insight into potential uses for a biotin-conjugated variant:
| Application | Dilution Range | Validation Status |
|---|---|---|
| Western Blot (WB) | 1:500 – 1:2000 | Confirmed in A375 cells |
| Immunohistochemistry (IHC) | 1:500 – 1:2000 | Validated in human liver |
| Immunofluorescence (IF) | Not specified | Published data available |
WB: Demonstrated in studies on choroidal neovascularization and thyroid cancer mechanisms .
IF: Applied in myocardial infarction research to assess vascular integrity .
SERPINF1 encodes pigment epithelium-derived factor (PEDF), a 418-amino-acid protein with critical roles in:
Angiogenesis regulation: Potent anti-angiogenic activity exceeding that of angiostatin .
Metabolic signaling: Circulating levels correlate with insulin resistance and adiposity .
Neurological functions: Neurotrophic effects in retinoblastoma models .
While the search results lack direct data on biotinylated SERPINF1 antibodies, standard conjugation protocols would aim to:
| Parameter | Optimization Goal |
|---|---|
| Biotin:Antibody Ratio | 3–6 biotins per IgG for optimal signal |
| Functional Validation | Compare pre-/post-conjugation performance in ELISA |
| Stability | Assess retention of binding affinity after labeling |
Specificity Verification: Users of conjugated antibodies must validate target specificity using SERPINF1 knockout controls.
Buffer Compatibility: Biotin conjugates may require formulation adjustments to maintain solubility.
Multiplexing Potential: Biotinylation enables integration with streptavidin-based detection systems in multi-analyte panels.
SERPINF1, also known as Pigment Epithelium-Derived Factor (PEDF), is a multifunctional secreted protein with anti-angiogenic, anti-tumorigenic, and neurotrophic properties. Despite belonging to the serpin family, it does not undergo the standard S (stressed) to R (relaxed) conformational transition characteristic of active serpins and therefore exhibits no serine protease inhibitory activity .
Its key functions include:
Inducing extensive neuronal differentiation in retinoblastoma cells
Potently inhibiting angiogenesis
Suppressing retinal neovascularization and endothelial cell proliferation
Inhibiting both VEGFR-1 and VEGFR-2, contributing to its antiangiogenic function
Inhibiting cancer cell proliferation and increasing apoptosis via the FAS/FASL pathway
SERPINF1 expression begins early in human development, with detection in the human retina at 7.4 weeks of gestation, suggesting a role in retinal neuron differentiation .
SERPINF1 Antibody, Biotin conjugated typically consists of:
Host Species: Predominantly rabbit-derived polyclonal antibodies
Target: Human, rat, or mouse SERPINF1 protein (species reactivity varies by product)
Conjugation: Biotin molecule covalently attached to facilitate detection in various assay systems
Formulation: Generally supplied in liquid form with stabilizing buffers
Buffer Composition: Typically contains preservatives (e.g., 0.03% Proclin 300), 50% glycerol, and PBS at pH 7.4
Molecular Weight: Targets SERPINF1, which has a calculated molecular weight of approximately 46 kDa
The biotin conjugation enables the antibody to be detected using streptavidin-based detection systems, enhancing sensitivity in various experimental applications.
Optimal dilution ratios vary by application and specific antibody preparation. Based on available research products, the following dilution ranges are recommended as starting points:
The actual working concentration varies and should be determined by the researcher through titration experiments. Always prepare fresh dilutions and mix thoroughly before use to ensure consistent results .
For optimal ELISA results with SERPINF1 Antibody, Biotin conjugated:
Buffer Selection: For antibody dilution, use a standardized antibody diluent buffer that maintains protein stability and minimizes background .
Sample Preparation:
Cell Culture Supernatants: Centrifuge to remove particulates
Cell Lysates: Use appropriate lysis buffers compatible with the ELISA kit components
Serum Samples: Dilute appropriately (typically 1:50 to 1:500) depending on expected SERPINF1 concentration
Plasma Samples: Heparin or EDTA-treated samples are preferred; avoid citrate-plasma as it may interfere with the assay
Antibody Preparation:
Detection System:
Inconsistent ELISA results may stem from several factors. Here's a systematic approach to troubleshooting:
Antibody Stability Issues:
Technical Variables:
Ensure consistent incubation times and temperatures across experiments
Verify complete washing between steps to remove unbound reagents
Confirm proper plate sealing during incubations to prevent edge effects
Use calibrated pipettes for accurate volume dispensing
Sample-Related Factors:
Test for matrix effects by performing dilution linearity experiments
Ensure samples remain within the assay's linear range (prepare multiple dilutions)
Check for potential interfering substances in complex biological samples
Optimization Strategies:
Perform antibody titration to determine optimal concentration for your specific samples
Include appropriate positive and negative controls in each assay
Consider examining fresh vs. frozen samples to assess stability impact
If problems persist, verify antibody reactivity with your sample species, as some SERPINF1 antibodies show restricted species reactivity (e.g., human-only or rat-specific) .
When analyzing cross-reactivity data, researchers should consider:
Species Homology Assessment:
Validation Methods Evaluation:
Examine the methods used to validate cross-reactivity (WB, IHC, ELISA)
Consider whether validation was performed using endogenous protein or recombinant samples
Assess positive controls used in validation studies
Cross-Reactivity Matrix Analysis:
| Antibody | Human | Mouse | Rat | Other Predicted Species |
|---|---|---|---|---|
| A34482 | - | - | ✓ | - |
| A50479-100 | - | - | ✓ | - |
| A02034 | ✓ | ✓ | ✓ | - |
| DF6547 | ✓ | ✓ | ✓ | Pig, Bovine, Horse, Sheep, Rabbit, Dog (predicted) |
| 26045-1-AP | ✓ | - | - | - |
Factors Affecting Cross-Reactivity:
Post-translational modifications may differ between species
Tissue-specific expression patterns could influence detection
Sample preparation methods may affect epitope accessibility
When interpreting cross-reactivity results, consider that predicted reactivity may require experimental verification in your specific experimental system.
SERPINF1 Antibody, Biotin conjugated offers several advantages in multiplex angiogenesis pathway studies:
Multiplex Platform Integration:
The biotin conjugation enables incorporation into streptavidin-based detection systems commonly used in multiplex platforms
Researchers can pair this antibody with differently labeled antibodies targeting other angiogenesis factors (VEGF, angiopoietins, etc.)
Experimental Design Considerations:
Validate antibody performance in single-analyte assays before incorporating into multiplex systems
Test for potential cross-reactivity with other biotinylated antibodies in your panel
Optimize signal-to-noise ratios by adjusting antibody concentrations
Sample Preparation Strategy:
For cell culture models: Consider collecting conditioned media at multiple timepoints to track SERPINF1 secretion dynamics
For tissue samples: Optimize extraction protocols to simultaneously preserve SERPINF1 and other angiogenic factors
Analysis Approach:
Normalize SERPINF1 levels against housekeeping proteins or total protein content
Consider ratio analyses between pro-angiogenic (VEGF) and anti-angiogenic (SERPINF1) factors
Implement statistical methods appropriate for multiplex data with multiple interdependent variables
This approach enables researchers to study the balance between pro-angiogenic and anti-angiogenic factors in complex biological systems, offering insights into angiogenesis regulation in development, cancer, and other pathological conditions .
Investigating SERPINF1's dual functionality requires careful experimental design:
Cell System Selection:
Neuronal Differentiation: Utilize retinoblastoma cell lines or neural progenitor cells that respond to SERPINF1's neurotrophic effects
Angiogenesis Inhibition: Employ endothelial cell models (HUVECs, HMVECs) or ex vivo angiogenesis assays
Functional Domain Analysis:
Experimental Readouts:
Neuronal Differentiation Markers: βIII-tubulin, MAP2, neurite outgrowth measurements
Angiogenesis Inhibition Metrics: Endothelial tube formation, migration, proliferation assays
Specialized Assay Design:
Co-culture systems combining neuronal and endothelial cells can reveal contextual effects
Time-course experiments to determine temporal aspects of each function
Concentration-dependent studies to identify potential threshold effects
Control Experiments:
Include function-blocking experiments (using non-conjugated antibodies) to validate specific pathways
Compare effects of recombinant SERPINF1 with endogenous protein detection using the biotin-conjugated antibody
By carefully designing experiments that can distinguish between these functions, researchers can better understand how SERPINF1 coordinates tissue development and homeostasis through its pleiotropic activities .
SERPINF1 sequence variations across species significantly impact antibody selection:
Epitope Conservation Analysis:
Examine the specific immunogen region used to generate the antibody
Some antibodies target conserved regions (higher cross-reactivity), while others target species-specific regions
Example: Antibody A34482 was generated against rat SERPINF1 amino acids 78-121 , while A02034T307 targets human SERPINF1 amino acids 280-320
Species Validation Status:
Application-Specific Considerations:
An antibody may cross-react in one application (e.g., ELISA) but not in others (e.g., IHC)
Application success depends on epitope accessibility in different assay conditions
Experimental Approaches for Comparative Studies:
For multi-species studies, consider using antibodies targeting highly conserved regions
Validate each antibody in each species before conducting comparative analyses
When possible, use multiple antibodies targeting different epitopes to increase confidence in results
Understanding these factors helps researchers select appropriate antibodies for comparative studies across species and avoid misinterpretation of results due to species-specific variations in antibody recognition .
When validating SERPINF1 Antibody, Biotin conjugated in non-traditional model organisms:
Sequence Homology Assessment:
Perform bioinformatic analysis comparing the immunogen sequence with the target organism's SERPINF1 sequence
Calculate percent identity and similarity, focusing on the specific epitope region
Predict potential cross-reactivity based on conserved structural domains
Stepwise Validation Protocol:
Initial Screening: Begin with ELISA using recombinant protein if available
Western Blot Validation: Confirm antibody detects a protein of the expected molecular weight (approximately 46 kDa)
Tissue Expression Profiling: Compare detection patterns with known SERPINF1 expression in well-characterized species
Functional Validation: Confirm biological activity of the detected protein through knockdown or blocking experiments
Controls Integration:
Optimization Strategies:
Test multiple fixation and antigen retrieval methods for IHC applications
Adjust antibody concentration through systematic titration experiments
Modify incubation conditions (time, temperature, buffer composition) to enhance specific binding
Confirmation Approaches:
Validate findings using an independent method (e.g., mass spectrometry)
Compare results with multiple antibodies targeting different SERPINF1 epitopes
Correlate antibody detection with mRNA expression data