The WFIKKN1 Antibody is a polyclonal affinity-purified rabbit antibody designed to specifically target the WFIKKN1 protein, a multidomain protease inhibitor encoded by the WFIKKN1 gene . Its primary function is to detect and study the WFIKKN1 protein in biological samples, aiding research into protease regulation, growth factor signaling, and tissue-specific protein expression.
Protease Inhibition: WFIKKN1’s Kunitz domains inhibit serine proteases (e.g., trypsin), while the follistatin domain binds growth factors like myostatin and GDF11 .
Tissue Expression: Highest in pancreas, thymus, and liver , with no expression in brain or skeletal muscle .
Cancer Implications: Overexpression linked to pancreatic and ovarian cancer tissues , suggesting potential as a biomarker.
Specificity: Tested against recombinant WFIKKN1 and cross-validated with WFIKKN2 .
Stability: Stable at −20°C for 12 months; compatible with IHC (1:50–1:200 dilution) .
WFIKKN1 (WAP, follistatin/kazal, immunoglobulin, kunitz and netrin domain containing 1) is a multidomain secreted protein with significant research interest due to its role as a multivalent protease inhibitor. It contains a WAP domain, a follistatin domain, an immunoglobulin domain, two tandem Kunitz domains, and an NTR domain, suggesting it may control the action of multiple types of serine proteases and metalloproteinases . The protein is 548 amino acids in length with a molecular weight of approximately 58.8 kDa and belongs to the WFIKKN protein family . WFIKKN1 is particularly interesting to researchers studying muscle development, as data suggest that myostatin binding to its receptor (activin receptors type II) can be blocked by WFIKKN1 but not by the related protein WFIKKN2 .
The primary methods for detecting WFIKKN1 in biological samples include:
ELISA (Enzyme-Linked Immunosorbent Assay): Sandwich ELISA techniques are widely used, with detection ranges typically between 31.2 pg/mL and 20 ng/mL depending on the kit . The technique employs antibodies specific for WFIKKN1 pre-coated onto a microplate, allowing quantitative measurement in serum, plasma, cell culture supernatants, and tissue homogenates .
Western Blotting: Typically utilizing dilutions of 0.1-2 μg/mL of antibody, allowing for protein detection and semi-quantitative analysis .
Immunohistochemistry: Using antibody concentrations around 25 μg/mL to visualize tissue distribution .
Immunoprecipitation: For isolating WFIKKN1 protein from complex sample mixtures .
These methods can be optimized depending on the specific research question and sample type.
WFIKKN1 shows a specific tissue distribution pattern. It is primarily expressed in:
This tissue-specific expression suggests potentially specialized roles in these organs. The protein is known to be secreted and undergoes post-translational glycosylation, which may affect its functional properties in different tissue environments . Understanding this distribution pattern is crucial when designing experiments to study WFIKKN1 in specific physiological contexts.
To optimize WFIKKN1 ELISA protocols for maximum sensitivity:
Sample Preparation: For serum and plasma samples, avoid repeated freeze-thaw cycles as they may degrade WFIKKN1. Process samples immediately after collection and store aliquots at -20°C or -80°C .
Standard Curve Optimization: Create a reliable standard curve using purified WFIKKN1 protein. Most kits offer detection ranges between 0.312-20 ng/mL, with sensitivity as low as 0.078 ng/mL for human WFIKKN1 . For mouse WFIKKN1, detection ranges typically span 31.2-2000 pg/mL with a minimum detection limit of 31.2 pg/mL .
Incubation Parameters: Follow the quantitative sandwich enzyme immunoassay technique where:
Antibody Selection: Choose antibodies with verified low cross-reactivity to related proteins to ensure specificity, particularly when studying both WFIKKN1 and WFIKKN2 in the same system .
Validation Controls: Include positive controls (zebrafish, zebrafish head tissue, zebrafish body tissue for zebrafish studies; known positive human samples for human studies) to verify assay performance .
When selecting anti-WFIKKN1 antibodies for specific applications, researchers should consider:
Target Species Compatibility: Ensure the antibody has been validated for your species of interest. Available options include antibodies reactive to human or zebrafish WFIKKN1 .
Application-Specific Validation: Verify that the antibody has been tested and validated for your specific application:
Epitope Information: Consider the epitope region. For example, some antibodies target specific regions like AA 20-548 of human WFIKKN1 .
Clonality Considerations:
Format Compatibility: Consider whether the antibody format (liquid, lyophilized) matches your storage capabilities and experimental workflow .
Cross-Reactivity Profile: Review documentation on potential cross-reactivity with related proteins, especially WFIKKN2, which shares structural similarities with WFIKKN1 .
WFIKKN1 has been identified as a significant component in aryl hydrocarbon receptor (AHR) signaling pathways, particularly in zebrafish development. Research findings indicate:
Co-expression Patterns: WFIKKN1 is highly co-expressed with CYP1A (a marker for AHR activation) in zebrafish exposed to polycyclic aromatic hydrocarbons (PAHs) and 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) .
Concentration-Dependent Expression: WFIKKN1 expression increases with TCDD concentration in a pattern parallel to CYP1A, though typically at lower expression levels, suggesting a dose-response relationship in AHR pathway activation .
Temporal Expression Pattern: Similar to CYP1A, WFIKKN1 is not significantly induced at 24 hours post-fertilization (hpf) but shows significant induction by 48 hpf in zebrafish exposed to various chemicals .
For detecting this interaction, the following methods have proven effective:
RNA Sequencing: To identify differential gene expression between wild-type and WFIKKN1 mutants after TCDD exposure .
Mass Spectrometry-Based Proteomics: To identify differentially expressed proteins in response to WFIKKN1 mutation .
CRISPR-Cas9 Mutation: Creating targeted mutations (e.g., 16-bp deletion in exon) to study functional changes in AHR signaling .
qPCR Assays: To measure expression changes of WFIKKN1 alongside AHR pathway markers like CYP1A .
These experimental approaches have revealed that WFIKKN1 is involved in skeletal muscle development and plays a role in neurological pathways after TCDD exposure, making it a necessary functional member of the AHR signaling cascade.
When faced with contradictory WFIKKN1 expression data across different experimental systems, researchers can employ several strategies:
Standardized Sample Processing:
Use consistent tissue/cell lysis buffers with appropriate protease inhibitors
Standardize protein quantification methods (BCA or Bradford assays)
Process all comparative samples simultaneously
Multi-Method Validation:
Employ both protein-level (Western blot, ELISA) and mRNA-level (qPCR, RNA-seq) detection
Use ELISA kits with different epitope specificities to verify consistency
Confirm with immunohistochemistry for tissue distribution patterns
Antibody Validation Controls:
Include WFIKKN1-knockout or knockdown samples as negative controls
Use recombinant WFIKKN1 protein as a positive control
Test multiple validated antibodies targeting different epitopes of WFIKKN1
Species-Specific Considerations:
When comparing across species (e.g., human vs. zebrafish), use antibodies validated for each specific species
Consider potential evolutionary differences in WFIKKN1 structure and function
Technical Approaches for Resolving Discrepancies:
Absolute quantification using mass spectrometry with isotope-labeled standards
Proximity ligation assays to verify protein-protein interactions in situ
Single-cell analysis techniques to address potential heterogeneity within samples
These approaches can help researchers determine whether contradictory data stem from biological variability or technical artifacts.
Distinguishing between WFIKKN1 and WFIKKN2 in functional studies requires careful experimental design:
Selective Antibody Approaches:
Use antibodies that have been specifically validated for non-cross-reactivity between WFIKKN1 and WFIKKN2
Perform pre-absorption controls with recombinant proteins to verify specificity
Consider using epitope-specific antibodies targeting non-conserved regions
Genetic Manipulation Strategies:
Employ CRISPR-Cas9 to create specific knockout models for each protein
Use siRNA or shRNA with validated specificity for selective knockdown
Employ rescue experiments with expression constructs containing mutations in key functional domains
Functional Discrimination:
Exploit the differential binding of myostatin: research indicates that various forms of myostatin (promyostatin, myostatin pro-domain, and latent/processed myostatin) bind to WFIKKN1 but not WFIKKN2
Design binding assays that leverage this differential binding pattern
Use competitive binding experiments to distinguish between the two proteins
Expression Pattern Analysis:
Analyze tissue-specific expression patterns, as WFIKKN1 and WFIKKN2 may have distinct tissue distributions
Perform dual immunostaining to identify areas of unique or overlapping expression
Domain-Specific Functional Assays:
Design assays targeting the unique functional properties or binding partners of each protein
Measure protease inhibition specificity profiles, as WFIKKN1 and WFIKKN2 may inhibit different proteases with varying efficiencies
These approaches enable researchers to clearly distinguish the specific roles and functions of WFIKKN1 versus WFIKKN2 in their experimental systems.
Common causes of false results in WFIKKN1 detection assays include:
False Positives:
Cross-reactivity: Antibodies may bind to structurally similar proteins, particularly WFIKKN2 or other proteins containing WAP, Kunitz, or immunoglobulin domains .
Sample Contamination: Heterophilic antibodies in samples can bridge capture and detection antibodies in sandwich assays.
Edge Effects: In ELISA plates, wells at the edges may yield higher readings due to uneven temperature distribution during incubation.
Insufficient Blocking: Inadequate blocking can lead to non-specific binding of detection antibodies.
False Negatives:
Protein Degradation: WFIKKN1 may degrade during improper sample handling or storage, as it is sensitive to repeated freeze-thaw cycles .
Epitope Masking: Post-translational modifications like glycosylation may mask antibody binding sites .
Matrix Effects: Components in biological samples may interfere with antibody binding.
Detection Range Limitations: Sample concentrations below the minimum detection limit (e.g., 31.2 pg/mL for mouse WFIKKN1, 0.078 ng/mL for human WFIKKN1) .
Mitigation Strategies:
Run appropriate positive and negative controls with each assay
Perform spike-and-recovery experiments to assess matrix effects
Use multiple antibodies targeting different epitopes to confirm results
Validate findings using complementary methods (Western blot, mass spectrometry)
Follow manufacturer's recommendations for sample handling and storage
A comprehensive validation protocol for novel WFIKKN1 antibodies should include:
Specificity Testing:
Western blot against recombinant WFIKKN1 protein to confirm expected molecular weight (58.8 kDa)
Testing against samples from WFIKKN1 knockout/knockdown models to confirm absence of signal
Cross-reactivity assessment with related proteins, particularly WFIKKN2
Peptide competition assays using the immunizing peptide
Sensitivity Assessment:
Titration experiments to determine optimal antibody concentration for each application
Detection limit determination using serial dilutions of recombinant protein
Comparison with commercially validated antibodies
Application-Specific Validation:
Reproducibility Testing:
Inter-lab testing if possible
Lot-to-lot consistency assessment
Stability testing under various storage conditions
Technical Documentation:
Detailed information on immunogen sequence and location within WFIKKN1
Host species, antibody isotype, and clonality
Optimal working dilutions for each validated application
Verified species reactivity
This validation framework ensures that novel antibodies are suitable for their intended research applications and will produce reliable, reproducible results.
WFIKKN1 plays a significant role in skeletal muscle development, primarily through its interaction with myostatin signaling pathways. To investigate this role:
Mechanistic Basis:
WFIKKN1 can block myostatin binding to its receptor (activin receptors type II), suggesting a regulatory role in muscle growth
Various forms of myostatin (promyostatin, myostatin pro-domain, and latent/processed myostatin) bind to WFIKKN1 but not WFIKKN2
Functional genomics studies in zebrafish have linked WFIKKN1 to muscle fiber development
Investigative Approaches:
Genetic Manipulation: CRISPR-Cas9 knockout or knockdown models to assess muscle phenotypes in the absence of WFIKKN1
Protein Interaction Studies: Co-immunoprecipitation or proximity ligation assays to investigate WFIKKN1-myostatin interactions
Tissue-Specific Expression Analysis: Immunohistochemistry using validated antibodies (typically at 25 μg/mL) to examine WFIKKN1 distribution in developing muscle tissues
Functional Assays: Myoblast differentiation assays in the presence or absence of WFIKKN1 to assess effects on proliferation and differentiation
Proteomic Profiling: Mass spectrometry-based proteomics to identify differentially expressed proteins in WFIKKN1-deficient muscle tissue
Experimental Models:
Zebrafish models have proven valuable for studying WFIKKN1 function in muscle development
Cell culture systems using C2C12 myoblasts or primary muscle cells can be employed for in vitro studies
Conditional knockout mouse models can provide insights into tissue-specific and developmental stage-specific roles
These approaches can help elucidate the precise molecular mechanisms by which WFIKKN1 influences muscle development and potentially identify therapeutic targets for muscle-related diseases.
WFIKKN1 has emerging roles in neurological pathways, particularly following environmental exposures such as TCDD. To study these interactions:
Current Evidence:
Functional enrichment studies have demonstrated WFIKKN1 involvement in neurological pathways after TCDD exposure
WFIKKN1 mutant zebrafish exhibit significant behavior deficiencies at all life stages, suggesting neurological impacts
These findings indicate potential roles in neurodevelopment or neuroprotection
Optimized Detection Methods for Neural Tissue:
Immunohistochemistry/Immunofluorescence: For localization in brain sections, using antibody concentrations of approximately 25 μg/mL
Western Blotting: Using 1-2 μg/mL antibody concentration for neural tissue lysates
In Situ Hybridization: To visualize mRNA expression patterns in specific neuronal populations
Single-Cell RNA Sequencing: To identify cell-type specific expression in heterogeneous neural tissues
Proximity Ligation Assays: To detect interactions between WFIKKN1 and neuronal proteins in situ
Specialized Experimental Considerations:
Sample Preparation: Neural tissues require careful handling to preserve protein integrity; use of protease inhibitors and rapid processing is crucial
Background Reduction: Neural tissues often exhibit high background in immunostaining; extensive blocking and careful antibody titration are essential
Behavioral Assays: Correlate WFIKKN1 expression or mutation with specific behavioral phenotypes, as observed in zebrafish studies
Ex Vivo Systems: Organotypic brain slice cultures can be useful for studying WFIKKN1 function in intact neural circuits
These approaches enable the investigation of WFIKKN1's roles in normal neurodevelopment and its potential involvement in neurological disorders or responses to environmental toxicants.
Proper controls for WFIKKN1 antibody validation vary by experimental context:
Positive Control: Recombinant human WFIKKN1 protein or lysates from tissues known to express WFIKKN1 (pancreas, kidney, liver, placenta, lung)
Negative Control: Lysates from WFIKKN1 knockout models or tissues known not to express WFIKKN1
Antibody Controls: Primary antibody omission; isotype control antibody
Loading Control: Probing for housekeeping proteins (β-actin, GAPDH)
Molecular Weight Verification: Confirmation of the expected 58.8 kDa band
Positive Control Tissues: Pancreas, kidney, liver, placenta, lung sections
Negative Control Tissues: Tissues from WFIKKN1 knockout models
Antibody Controls: Primary antibody omission; isotype control antibody at matching concentration (25 μg/mL)
Peptide Competition: Pre-incubation of antibody with immunizing peptide
Counterstaining: Nuclear counterstain to assist in cellular localization interpretation
Standard Curve: Serial dilutions of recombinant WFIKKN1 protein
Spike-and-Recovery: Known amounts of recombinant protein added to samples
Dilutional Linearity: Serial dilutions of positive samples
Blank Controls: Buffer-only wells to establish background
Cross-Reactivity Controls: Testing related proteins, particularly WFIKKN2
Negative Controls: CRISPR-Cas9 WFIKKN1 mutant zebrafish (e.g., with 16-bp deletion in exon)
Treatment Controls: Appropriate vehicle controls (e.g., dimethyl sulfoxide) for exposure experiments
These controls ensure the specificity, sensitivity, and reliability of WFIKKN1 detection across different experimental platforms.
Optimal storage conditions for maintaining WFIKKN1 antibody activity vary by antibody format:
Storage Temperature: Store at -20°C in a non-frost-free freezer
Reconstitution: Use deionized water as specified in product documentation
Post-Reconstitution: After reconstitution, store at 4°C for up to one month for active use
Long-term Storage: For periods longer than one month, aliquot and store at -20°C to avoid repeated freeze-thaw cycles
Avoid Contamination: Use sterile techniques during handling and aliquoting
Long-term Storage: Store at -20°C, with glycerol buffer to prevent freezing damage
Buffer Conditions: Typically supplied in 50% glycerol, 0.9% NaCl, 0.2% Na₂HPO₄, 0.02% NaN₃
Aliquoting: Divide into small working aliquots to minimize freeze-thaw cycles
Temperature Transitions: Allow antibodies to reach room temperature before opening to prevent condensation
Kit Storage: Store complete kits at 4°C until the expiration date, typically 6 months from production
Component-Specific Storage: Some components may require -20°C storage; follow manufacturer's instructions
Stability Considerations: Kit stability is typically determined by rate of activity loss, which should be less than 5% within the expiration date under appropriate storage conditions
Working Solutions: Prepare fresh working solutions for each assay to maintain optimal activity
Avoid Freeze-Thaw Cycles: Each cycle can decrease antibody activity by 5-20%
Temperature Stability: Maintain consistent storage temperatures; avoid temperature fluctuations
Light Protection: Store in amber tubes or wrapped in foil if the antibody is conjugated to light-sensitive fluorophores
Documentation: Keep records of receipt date, lot number, and thawing/handling dates