WDR83 (also known as MORG1, MAPK organizer 1, or WD repeat domain-containing protein 83) functions as a molecular scaffold protein for various multimeric protein complexes. It serves as a module in the assembly of a multicomponent scaffold for the ERK pathway, connecting ERK responses to specific agonists. At low concentrations, WDR83 enhances ERK activation, while high concentrations inhibit ERK activation. Additionally, WDR83 is involved in hypoxia response by negatively regulating HIF1A/HIF-1-alpha through its interaction with EGLN3/PHD3. It may promote degradation of HIF1A and may also participate in pre-mRNA splicing processes .
The WDR83 Antibody, FITC conjugate is a polyclonal antibody raised in rabbits against a recombinant WD repeat domain-containing protein 83 protein fragment (amino acids 64-315). It has been purified using Protein G (>95% purity) and conjugated with fluorescein isothiocyanate (FITC). The antibody is supplied in liquid form in a buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. The FITC fluorophore typically has excitation/emission maxima wavelengths of 494 nm and 520 nm, respectively, which is consistent with standard FITC-conjugated reagents .
For proper storage of the WDR83 Antibody, FITC conjugate, it is recommended to store the reagent at -20°C or -80°C upon receipt. Repeated freeze-thaw cycles should be avoided as they can deteriorate antibody quality and reduce fluorescence intensity. As with other FITC-conjugated antibodies, it's crucial to protect the reagent from light exposure, as FITC is photosensitive and can photobleach, resulting in reduced signal intensity. When stored properly, FITC-conjugated antibodies typically maintain stability for at least one year after shipment .
To study WDR83's role in ERK pathway regulation, researchers can employ the WDR83 Antibody, FITC conjugate in multiparameter flow cytometry experiments combined with phospho-specific antibodies against ERK1/2. This approach allows for simultaneous detection of WDR83 expression levels and ERK activation status at the single-cell level.
Methodology:
Treat cells with varying concentrations of pathway agonists (e.g., growth factors)
Fix and permeabilize cells using an appropriate protocol compatible with both surface and intracellular staining
Stain with WDR83 Antibody, FITC conjugate and a complementary fluorochrome-conjugated phospho-ERK1/2 antibody
Analyze by flow cytometry, comparing WDR83 expression levels with ERK phosphorylation status
This experimental design can verify the concentration-dependent regulation of ERK activation by WDR83, where low WDR83 levels enhance ERK activation while high levels inhibit it. Correlation analysis between WDR83 fluorescence intensity and phospho-ERK signals can provide quantitative insights into this relationship .
Investigating WDR83's role in hypoxia response pathways requires experimental designs that capture its interaction with HIF1A and EGLN3/PHD3. The FITC-conjugated WDR83 antibody can be employed in several advanced approaches:
Co-localization studies:
Culture cells under normoxic and hypoxic conditions
Fix and permeabilize cells
Perform co-staining with WDR83 Antibody, FITC conjugate and fluorescently-labeled antibodies against HIF1A and EGLN3 (using different fluorophores)
Analyze using confocal microscopy or imaging flow cytometry
Quantify co-localization coefficients to measure spatial associations
Hypoxia response experiments:
Expose cells to hypoxic conditions at different timepoints
Measure WDR83 expression levels using flow cytometry with the FITC-conjugated antibody
Simultaneously assess HIF1A stability and target gene expression
Compare results between WDR83 knockdown and control cells
This comprehensive approach can reveal the dynamic relationship between WDR83 expression and hypoxia response regulation, particularly focusing on its negative regulatory effect on HIF1A stability .
As WDR83 functions as a scaffold protein for multimeric protein complexes, analyzing these interactions is crucial. The FITC-conjugated WDR83 antibody can be utilized in several sophisticated experimental approaches:
Proximity ligation assay (PLA) combined with fluorescence microscopy:
Fix and permeabilize cells
Incubate with WDR83 Antibody, FITC conjugate and unconjugated antibodies against suspected interaction partners
Perform PLA according to manufacturer's protocol
Visualize interaction signals alongside WDR83-FITC localization
Quantify interaction frequency in different cellular compartments
Flow cytometry-based protein interaction analysis:
Immunoprecipitate protein complexes using anti-WDR83 antibody
Label precipitated complexes with fluorescently-tagged antibodies against interaction partners
Analyze using flow cytometry to detect co-precipitated proteins
Compare complex formation under different cellular conditions
These methodologies enable researchers to identify and characterize the components of WDR83-containing protein complexes and how they change under different signaling conditions or cellular stresses .
For optimal results in flow cytometry experiments using WDR83 Antibody, FITC conjugate, consider the following methodological parameters:
Sample preparation:
For cell suspensions: Use approximately 4 μl of antibody per 10^6 cells in 100 μl buffer
For adherent cells: Ensure complete dissociation into single-cell suspensions before staining
Maintain cells at 4°C during staining to prevent internalization
Buffer composition:
Use PBS with 1-2% protein (BSA or FBS) and 0.1% sodium azide
Adjust pH to 7.2-7.4 for optimal antibody binding
Include 2mM EDTA when working with cells that tend to aggregate
Staining protocol:
For surface staining: Incubate cells with antibody for 20-30 minutes at 4°C in the dark
For intracellular staining: Fix cells with 2-4% paraformaldehyde, then permeabilize with 0.1% saponin or 0.3% Triton X-100 before antibody incubation
Include a fixable viability dye to exclude dead cells from analysis
Instrument settings:
Excite with a 488 nm laser
Collect emission using a 520/30 nm bandpass filter
Perform proper compensation if using multiple fluorochromes
Controls:
Include unstained cells, isotype control, and single-stained controls for compensation
Consider fluorescence-minus-one (FMO) controls for accurate gating
These parameters should be optimized for each specific cell type and experimental condition .
The molecular process of FITC conjugation to WDR83 antibody involves the reaction between the isothiocyanate group of FITC and primary amines (mainly lysine residues) on the antibody protein. This results in the formation of stable thiourea bonds. The conjugation process and its impact on antibody performance can be understood through these key aspects:
Chemistry of conjugation:
Optimal conjugation occurs at pH 9.5, where lysine side chains are deprotonated
The reaction typically requires 30-60 minutes at room temperature with an initial protein concentration of 25 mg/ml
The degree of labeling, expressed as the fluorescein/protein (F/P) ratio, is critical for antibody performance
Effects on antibody structure and function:
Over-labeling (high F/P ratio) can interfere with antigen binding by modifying lysines in or near the antigen-binding site
Excessive FITC conjugation may alter antibody conformation and increase hydrophobicity
The optimal F/P ratio typically ranges from 3-8 molecules of FITC per antibody molecule
Performance characteristics:
Properly conjugated antibodies maintain specificity while gaining fluorescence detection capability
Signal-to-noise ratio depends on the F/P ratio, with higher ratios providing brighter signals but potentially higher background
The process of conjugation may slightly reduce antibody affinity in some cases
Purification considerations:
After conjugation, separation of optimally labeled antibodies from under- and over-labeled proteins is achieved through gradient DEAE Sephadex chromatography
This purification step is crucial for ensuring consistent performance in experiments
Understanding these molecular aspects helps researchers interpret results and troubleshoot issues related to antibody performance in their experimental systems .
Validating the specific binding of WDR83 Antibody, FITC conjugate is essential for ensuring reliable experimental results. A comprehensive validation approach should include:
Positive and negative control samples:
Positive controls: Cell lines with confirmed WDR83 expression (based on literature or genomic databases)
Negative controls: Cell lines with low/no WDR83 expression or WDR83 knockout models
Compare staining patterns between these controls using flow cytometry or microscopy
Competitive binding assays:
Pre-incubate cells with excess unconjugated anti-WDR83 antibody
Follow with FITC-conjugated WDR83 antibody at standard concentration
A significant reduction in fluorescence signal indicates specific binding
Recombinant protein blocking:
Pre-incubate the FITC-conjugated antibody with purified recombinant WDR83 protein
Apply this mixture to cells and compare with unblocked antibody staining
Specific binding is indicated by reduced staining after blocking
Genetic validation:
Perform siRNA/shRNA knockdown of WDR83
Compare antibody staining in knockdown vs. control cells
Reduced signal in knockdown cells confirms specificity
Western blot correlation:
Sort cell populations based on WDR83-FITC staining intensity
Perform Western blot analysis on sorted populations
Correlation between fluorescence intensity and protein band intensity validates specificity
These validation steps ensure that experimental observations reflect true WDR83 biology rather than artifacts or non-specific binding .
When encountering weak signal problems with WDR83 Antibody, FITC conjugate, researchers should systematically investigate potential causes and apply appropriate solutions:
Antibody-related factors:
Check antibody storage conditions (exposure to light, temperature fluctuations)
Verify antibody expiration date and lot-to-lot variations
Solution: Use fresh aliquots and avoid repeated freeze-thaw cycles
Sample preparation issues:
Insufficient permeabilization for intracellular targets
Inadequate fixation leading to antigen loss
Solution: Optimize fixation and permeabilization protocols; try different detergents or concentrations
Technical parameters:
Suboptimal antibody concentration
Insufficient incubation time
Solution: Perform titration experiments to determine optimal concentration; extend incubation time to 45-60 minutes
Target protein expression:
Low WDR83 expression in the studied cell type
Expression changes under experimental conditions
Solution: Use positive control cells with known WDR83 expression; consider signal amplification methods
Instrument settings:
Improper voltage settings on flow cytometer
Incorrect filter selection
Solution: Optimize PMT voltages; ensure proper filters for FITC detection (520/30 nm bandpass)
Fluorophore considerations:
FITC photobleaching during sample preparation or analysis
pH sensitivity of FITC (fluorescence decreases at lower pH)
Solution: Minimize light exposure; maintain buffer pH between 7.2-8.0
A systematic approach to these factors will help identify and address the specific cause of weak signal issues .
Distinguishing between specific and non-specific signals is crucial for accurate interpretation of WDR83 localization studies using FITC-conjugated antibodies. Researchers should implement these methodological strategies:
Comprehensive controls:
Isotype controls: Match the host species, isotype, and FITC labeling density
Blocking controls: Pre-incubate with recombinant WDR83 protein
Secondary-only controls (if using indirect methods)
Autofluorescence controls: Unstained samples to establish baseline
Genetic controls: WDR83 knockdown or knockout samples
Multi-parameter confirmation:
Co-staining with antibodies against known WDR83-interacting proteins
Correlation of localization patterns with expected biological contexts
Comparison of staining patterns across multiple cell types with different WDR83 expression levels
Signal characterization:
Evaluate signal-to-noise ratio across different cellular compartments
Compare staining intensity with Western blot quantification
Analyze pixel intensity distributions in microscopy images
Manipulation experiments:
Induce known biological changes that affect WDR83 (e.g., hypoxia)
Observe expected relocalization or expression changes
Compare with published literature on WDR83 behavior
Technical approaches:
Spectral unmixing to separate FITC signal from autofluorescence
Image processing algorithms to enhance specific signals
Super-resolution microscopy for detailed localization analysis
By implementing these strategies, researchers can confidently distinguish between specific WDR83 localization and background or non-specific fluorescence, leading to more reliable data interpretation .
Quantitative analysis of WDR83 expression in heterogeneous populations requires sophisticated approaches that account for cellular diversity while maintaining analytical rigor:
Multiparameter flow cytometry:
Design a panel with lineage markers to identify cell subsets
Include WDR83 Antibody, FITC conjugate and relevant functional markers
Calculate median fluorescence intensity (MFI) for WDR83 in each defined population
Apply standardization using calibration beads to convert to molecules of equivalent soluble fluorochrome (MESF)
Statistical analysis approaches:
Population comparison: Use appropriate statistical tests (t-test, ANOVA) to compare WDR83 expression between defined populations
Correlation analysis: Assess relationships between WDR83 levels and other parameters
Distribution analysis: Examine expression histograms for evidence of distinct subpopulations
Imaging cytometry methods:
Combine flow cytometry with imaging capabilities
Analyze subcellular localization alongside expression levels
Correlate morphological features with WDR83 expression
Single-cell analysis:
Index sorting followed by single-cell transcriptomics or proteomics
Correlation of WDR83 protein levels (by FITC fluorescence) with mRNA expression
Identification of co-expression patterns with other genes/proteins
Quantification standards:
Include quantitative calibration standards in each experiment
Calculate absolute protein quantities using standard curves
Ensure batch-to-batch consistency with reference samples
These approaches enable robust quantitative analysis of WDR83 expression across complex cell populations, revealing biological patterns that might be obscured in bulk analyses .
Integrating WDR83 Antibody, FITC conjugate into high-content screening (HCS) workflows offers powerful approaches for drug discovery and functional genomics research related to ERK pathway modulation and hypoxia response:
Automated imaging platform setup:
Optimize cell seeding density in 96/384-well plates for consistent imaging
Establish fixed exposure settings for FITC channel to enable quantitative comparisons
Develop automated image acquisition protocols that capture sufficient cells per well (>500)
Create analysis pipelines that segment cells and quantify WDR83-FITC intensity and localization
Multiplexed assay design:
Combine WDR83-FITC staining with nuclear counterstains (e.g., DAPI)
Include additional markers for cell health, signaling pathway activation, or phenotypic outcomes
Design assays that correlate WDR83 expression with functional endpoints
Screening methodology:
Primary screen: Measure changes in WDR83 expression or localization in response to compound libraries or genetic perturbations
Secondary assays: Validate hits with orthogonal measurements of pathway activity
Dose-response studies: Determine concentration-dependent effects on WDR83 biology
Data analysis framework:
Establish normal ranges and thresholds for significant changes
Apply machine learning algorithms to identify complex phenotypes
Integrate with other -omics datasets for comprehensive interpretation
This approach enables systematic investigation of compounds or genetic factors that modulate WDR83 expression, localization, or function in high-throughput formats, accelerating discovery in cancer research, cardiovascular disease, and hypoxia-related pathologies .
While the FITC-conjugated WDR83 antibody is primarily designed for fixed cell applications, researchers interested in studying WDR83 dynamics in live cells should consider these alternative approaches and important considerations:
Alternative labeling strategies:
Generate fluorescent protein fusions (e.g., WDR83-GFP) through transfection or CRISPR knock-in
Use cell-permeable fluorogenic antibody fragments or nanobodies
Consider photoactivatable or photoconvertible fluorescent proteins for pulse-chase experiments
Physiological relevance:
Validate that tagged WDR83 maintains normal localization and function
Express at or near endogenous levels to avoid artifacts
Compare dynamics with fixed-cell antibody staining as a reference
Imaging parameters:
Minimize phototoxicity through reduced exposure times and light intensity
Use sensitive cameras and objectives with high numerical aperture
Balance temporal resolution with signal-to-noise considerations
Consider resonant scanning confocal or spinning disk systems for faster acquisition
Environmental controls:
Maintain physiological temperature, CO2, and humidity
Design experiments to capture both short-term (seconds to minutes) and long-term (hours) dynamics
Include appropriate controls for photobleaching and phototoxicity
Analysis approaches:
Track individual WDR83-containing structures over time
Measure protein turnover through FRAP (Fluorescence Recovery After Photobleaching)
Quantify co-localization dynamics with other labeled proteins
Apply computational methods to extract motion parameters and interaction kinetics
These considerations help researchers design live-cell imaging experiments that reveal the dynamic properties of WDR83 in physiologically relevant contexts, complementing fixed-cell studies using the FITC-conjugated antibody .
Understanding the comparative advantages and limitations of polyclonal versus monoclonal WDR83 antibodies is essential for selecting the appropriate reagent for specific research applications:
| Parameter | Polyclonal WDR83 Antibody, FITC | Monoclonal WDR83 Antibody, FITC | Implications for Research |
|---|---|---|---|
| Epitope recognition | Multiple epitopes on WDR83 protein | Single epitope | Polyclonals offer higher sensitivity but potentially lower specificity |
| Batch-to-batch variation | Moderate to high | Low | Monoclonals provide better reproducibility across experiments |
| Signal intensity | Generally higher due to multiple binding sites | May be lower but more consistent | Polyclonals advantageous for detecting low-abundance targets |
| Cross-reactivity | Higher potential for cross-reactivity | Typically more specific | Monoclonals preferred for highly specific applications |
| Robustness to epitope changes | Less affected by protein modifications or conformational changes | More susceptible to epitope masking | Polyclonals better for detecting denatured proteins or modified forms |
| Applications | Better for immunoprecipitation, immunohistochemistry | Superior for flow cytometry, high-resolution microscopy | Application-specific selection recommended |
For research focusing on WDR83's role in ERK pathway regulation or hypoxia response, these considerations guide antibody selection:
For detecting total WDR83 expression levels:
Polyclonal WDR83 Antibody, FITC offers higher sensitivity by recognizing multiple epitopes
Beneficial when protein expression is low or variable
For specific localization studies:
Monoclonal antibodies provide more consistent staining patterns
Better for co-localization studies with other proteins
For detecting specific WDR83 protein interactions:
Epitope-specific monoclonal antibodies prevent interference with interaction sites
Critical when studying specific protein-protein interfaces
When selecting between polyclonal and monoclonal WDR83 antibodies, researchers should consider their specific experimental requirements, balancing sensitivity, specificity, and reproducibility needs .
Integrating WDR83 Antibody, FITC conjugate with emerging multi-omics technologies opens new frontiers for understanding WDR83 biology in complex cellular contexts:
Spatial proteomics approaches:
Imaging mass cytometry: Combine WDR83-FITC antibody with metal-tagged antibodies for simultaneous detection of >40 proteins
CODEX multiplexed imaging: Iterative antibody staining to correlate WDR83 with extensive protein networks
Application: Map WDR83 distribution relative to signaling networks in tissue microenvironments
Single-cell multi-omics integration:
CITE-seq: Couple WDR83 protein detection with transcriptome analysis
Flow-sorting WDR83-FITC labeled populations for downstream proteomics or metabolomics
Application: Correlate WDR83 protein levels with global gene expression patterns
Proximity labeling technologies:
Conjugate proximity labeling enzymes (BioID, APEX) to anti-WDR83 antibodies
Identify proteins in close proximity to WDR83 under different conditions
Application: Discover context-specific WDR83 interaction networks
Advanced microscopy techniques:
Super-resolution microscopy: Combine with FITC-conjugated WDR83 antibody for nanoscale localization
Lattice light-sheet microscopy: Capture dynamic WDR83 interactions with reduced phototoxicity
Application: Resolve subcellular distribution and trafficking of WDR83-containing complexes
Functional genomics integration:
CRISPR screens with WDR83-FITC readouts to identify regulators
Correlate genetic perturbations with changes in WDR83 expression or localization
Application: Systematic identification of genes affecting WDR83 function
These emerging technologies will advance understanding of WDR83's role in coordinating cellular responses to stimuli, particularly in the context of ERK pathway regulation and hypoxia response mechanisms .