Catalog Number: AF3182 (Affinity Biosciences)
Reactivity: Human, Mouse, Rat (confirmed); Pig, Bovine, Horse, Sheep, Rabbit, Dog (predicted)
Applications:
| Parameter | Specification |
|---|---|
| Target Protein | VAV1 (UniProt ID: P15498) |
| Phosphorylation Site | Tyrosine 174 (Y174) |
| Molecular Weight | ~95 kDa (observed); 98 kDa (calculated) |
| Host Species | Rabbit |
| Recommended Dilution | User-dependent optimization required |
VAV1 is a hematopoietic-specific guanine nucleotide exchange factor (GEF) that regulates Rho GTPases. Phosphorylation at Y174:
Activates TCR Signaling: Enables VAV1 to recruit signaling molecules like PLCγ1, SLP76, and LAT, forming microclusters critical for T-cell development and activation .
Disrupts Autoinhibition: Y174 phosphorylation relieves inhibitory constraints within the VAV1 DH domain, enabling its GEF activity .
Oncogenic Implications: Mutations in VAV1 (e.g., fusions like VAV1–STAP2) or its binding partners (e.g., G17V RHOA) cause constitutive Y174 phosphorylation, driving lymphoma progression .
G17V RHOA Interaction: In angioimmunoblastic T-cell lymphoma (AITL), mutant RHOA binds VAV1, enhancing Y174 phosphorylation and accelerating TCR signaling. This promotes cytokine/chemokine pathways and lymphoma growth .
Therapeutic Targeting: Dasatinib, a kinase inhibitor, suppresses Y174 phosphorylation and downstream TCR signaling in RHOA/VAV1-mutant cells .
Defective Signaling: Y174-mutated VAV1 fails to sustain TCR microclusters, impairing thymocyte selection and mature T-cell proliferation .
Phosphorylation Dynamics: Y174 phosphorylation is rapidly induced upon TCR stimulation and synergizes with Y142/Y160 phosphorylation for full VAV1 activation .
Phospho-VAV1 (Y174) is quantified using:
VAV1 phosphorylation at Tyr174 represents a crucial regulatory event in immune cell signaling. This specific phosphorylation serves as a readout of the signaling activity of adaptive immunity receptors, particularly T-cell receptor (TCR) and B-cell receptor (BCR) . At the molecular level, Tyr174 is part of the acidic region of VAV1 that maintains an inhibitory constraint on the DH (Dbl homology) domain. When phosphorylated, this constraint is released, activating VAV1's guanine nucleotide exchange factor (GEF) function for Rho family GTPases .
Research has demonstrated that Tyr174 is essential for:
Maintaining TCR-signaling microclusters
Supporting normal T cell development
Moreover, Tyr174 phosphorylation occurs during fungal recognition by innate immune cells through a mechanism dependent on Src and Syk kinases, indicating its importance beyond adaptive immunity .
VAV1 contains multiple tyrosine phosphorylation sites, with the acidic region containing three key evolutionarily conserved tyrosines: Tyr142, Tyr160, and Tyr174. These sites conform to consensus SH2 domain binding motifs and interact with critical signaling proteins including Lck, PI3K p85α, and PLCγ1 .
While all three acidic region tyrosines contribute to VAV1 functionality, Tyr174 demonstrates distinct properties:
| Phosphorylation Site | Functional Role | Binding Partners | Impact When Mutated |
|---|---|---|---|
| Tyr174 | Critical for microcluster stability and T cell development | Lck, PI3K p85α, PLCγ1 | Severe disruption of TCR signaling |
| Tyr142/Tyr160 | Supporting roles in signaling | Similar binding partners | Less severe phenotype when individually mutated |
Research has shown that mutation of Tyr174 in combination with Tyr142 and/or Tyr160 results in severely diminished phosphorylation of VAV1, indicating a hierarchical importance of these sites, with Tyr174 playing a particularly critical role .
When designing experiments to study Phospho-VAV1 (Tyr174) signaling, cell model selection should be guided by the specific research question. Based on the literature, these models have proven effective:
For adaptive immunity studies:
Primary T cells or B cells from peripheral blood or lymphoid organs
Jurkat T cell lines (particularly Vav1-deficient Jurkat cells for reconstitution experiments)
For innate immunity studies:
Methodological considerations:
For signaling studies, cells should be rested in serum-free media for 2-4 hours prior to stimulation to reduce background phosphorylation
For T cell activation, anti-CD3 and anti-CD28 antibodies provide physiologically relevant stimulation
For innate immunity studies, Candida albicans hyphae have been effectively used to trigger VAV1 Tyr174 phosphorylation
When using cell lines, researchers should verify endogenous VAV1 expression levels, as overexpression systems may not accurately reflect physiological signaling dynamics.
Effective stimulation protocols vary depending on the cell type and research question. Based on published protocols, the following approaches yield robust Tyr174 phosphorylation:
For T cells:
Anti-CD3 antibody cross-linking (1-10 μg/mL) for TCR-specific stimulation
Anti-CD3/CD28 antibody co-stimulation for physiological activation
Sodium orthovanadate treatment (100 μM) for maximal tyrosine phosphorylation analysis
For innate immune cells:
Candida albicans hyphae (ratio 1:1 to 5:1 fungi:cell)
β-glucan particles (100 μg/mL)
Optimal timing for phosphorylation detection:
Rapid and transient phosphorylation occurs within 1-5 minutes
Peak phosphorylation typically occurs at 2-15 minutes post-stimulation
For kinetic studies, time points at 0, 1, 2, 5, 10, 15, and 30 minutes are recommended
Control conditions should include unstimulated cells and, when studying innate immunity, LPS stimulation as a negative control since it does not induce Tyr174 phosphorylation despite activating other signaling pathways .
Optimizing Western blot protocols for Phospho-VAV1 (Tyr174) detection requires attention to several critical parameters:
Sample preparation:
Lyse cells in buffer containing phosphatase inhibitors (sodium orthovanadate, sodium fluoride, and phosphatase inhibitor cocktail)
Maintain cold temperatures throughout processing to prevent dephosphorylation
Antibody selection and dilution:
Primary antibodies: Use phospho-specific antibodies against Tyr174 at dilutions of 1:500-1:2000
For total VAV1 detection (loading control): Use anti-VAV1 antibodies at 1:1000-1:2000
Secondary antibodies: HRP-conjugated at 1:5000-1:10000
Technical considerations:
Include positive controls (e.g., cells treated with pervanadate)
Run parallel blots for total VAV1 and phospho-Tyr174 VAV1
For sequential probing, thorough stripping is essential to avoid residual signal
7-10% polyacrylamide gels provide optimal resolution for VAV1 (~98 kDa)
Troubleshooting high background:
Increase blocking time (5% BSA in TBST for 1-2 hours)
Extend wash steps (5-6 washes for 5-10 minutes each)
Reduce primary antibody concentration and extend incubation (overnight at 4°C)
For quantification, normalize phospho-VAV1 (Tyr174) signal to total VAV1 rather than housekeeping proteins to account for expression level variations between samples.
Distinguishing specific from non-specific signals is crucial for accurate data interpretation when using Phospho-VAV1 (Tyr174) antibodies. Implement these methodological approaches:
Validation controls:
Positive control: Cells treated with pervanadate, which induces maximal tyrosine phosphorylation
Negative control: Unstimulated cells or cells treated with LPS (which doesn't induce Tyr174 phosphorylation)
Specificity control: Use cells expressing Tyr174Phe (Y174F) mutant VAV1, which cannot be phosphorylated at this position
Antibody validation: Pretreat samples with phosphatase to eliminate specific phosphorylation signals
When analyzing Western blot data:
Specific Phospho-VAV1 (Tyr174) signal should appear at 98 kDa (the molecular weight of VAV1)
Signal should increase upon appropriate stimulation (e.g., TCR engagement, C. albicans exposure)
Signal should be inhibitable by Src inhibitor PP2 or Syk inhibitor R406, but not by inactive analog PP3
For ELISA-based detection methods:
Always run parallel samples with blocking peptides specific to the phospho-epitope
Include calibration curves with known quantities of phosphopeptides
Confirm signal reduction with phosphatase treatment
If non-specific bands appear in Western blot:
Increase antibody specificity by adjusting dilution (typically 1:1000-1:2000)
Improve blocking conditions (5% BSA in TBST is often superior to milk for phospho-antibodies)
Perform immunoprecipitation before Western blot for enhanced specificity
Several common pitfalls can undermine Phospho-VAV1 (Tyr174) experiments. Here are the major challenges and methodological solutions:
Dephosphorylation during sample preparation:
Problem: Rapid loss of phosphorylation signal during cell lysis
Solution: Maintain samples at 4°C throughout processing and add phosphatase inhibitors (sodium orthovanadate, sodium fluoride, and phosphatase inhibitor cocktail) to all buffers
Inconsistent stimulation protocols:
Problem: Variable phosphorylation between experiments
Solution: Standardize cell density (1-2×10⁶ cells/mL), stimulation time (peak at 2-15 minutes), and reagent concentrations
Cell type variability:
Problem: Different basal phosphorylation levels between cell types or donors
Solution: Use paired experimental designs and normalize to unstimulated controls from the same source
Antibody cross-reactivity:
Problem: Antibodies recognizing multiple phosphorylated tyrosines (Tyr142, Tyr160, Tyr174)
Solution: Validate antibody specificity using phospho-peptide competition assays and Y→F mutant controls
Signal quantification issues:
Problem: Normalizing to housekeeping proteins may not account for VAV1 expression differences
Solution: Always normalize phospho-VAV1 (Tyr174) signal to total VAV1 protein levels
Technical challenges with low abundance samples:
Problem: Weak signal when working with primary cells or low cell numbers
Solution: Implement signal amplification through immunoprecipitation before Western blot or use high-sensitivity detection systems like AlphaLISA or HTRF
Phospho-VAV1 (Tyr174) antibodies offer powerful tools for investigating autoimmune disease mechanisms. Current research indicates that VAV1 signaling plays a critical role in autoimmunity, as evidenced by studies showing that the R63W mutation in VAV1 reduces susceptibility to experimental autoimmune encephalomyelitis (EAE), a model for multiple sclerosis .
Methodological approaches for autoimmunity research:
Ex vivo analysis of patient samples:
Compare Phospho-VAV1 (Tyr174) levels in T cells from patients with autoimmune diseases versus healthy controls
Correlate phosphorylation levels with disease activity markers
Examine how treatment responses correlate with changes in VAV1 phosphorylation
Functional studies:
Animal model applications:
These approaches can reveal how alterations in VAV1 signaling contribute to disease pathogenesis and potentially identify new therapeutic targets in autoimmune conditions.
VAV1 Tyr174 phosphorylation serves as a critical integration point for multiple signaling pathways in immune cell function. Understanding these interconnections requires sophisticated analysis methods:
Integration with TCR proximal signaling:
Phospho-VAV1 (Tyr174) detection can be combined with analysis of ZAP70, LAT, and Lck phosphorylation
Interestingly, the VAV1 R63W mutation affects distal signaling but not proximal components, suggesting pathway-specific regulation
Methodological approach: Multiplex phospho-flow cytometry or sequential immunoblotting of the same membrane
Downstream signaling effects:
VAV1 Tyr174 phosphorylation impacts Erk, Akt, and p38 activation pathways
VAV1 Y174F mutation impairs calcium flux after TCR engagement
Experimental design: Combine Phospho-VAV1 (Tyr174) antibodies with calcium flux assays (Indo-1 loading) for simultaneous analysis
Cross-pathway integration:
In innate immunity, VAV1 phosphorylation at Tyr174 occurs after C. albicans recognition through a mechanism dependent on Card9 signaling
This suggests integration between antifungal recognition pathways and VAV1 activation
Method: Use Src inhibitor PP2 or Syk inhibitor R406 in dose-dependent manner to dissect upstream regulation
Temporal dynamics analysis:
VAV1 phosphorylation at Tyr174 exhibits distinct kinetics in different pathways
For comprehensive analysis, researchers should perform time-course experiments with multiple readouts
Data integration approach: Create signaling network maps based on phosphorylation kinetics data
Understanding these pathway integrations provides insights into how VAV1 coordinates multiple aspects of immune cell function and may reveal new targets for immunomodulatory therapies.
Single-cell analysis of VAV1 Tyr174 phosphorylation provides critical insights into signaling heterogeneity within immune cell populations. These advanced techniques enable researchers to overcome the limitations of bulk analysis:
Phospho-flow cytometry:
Method: Fix cells with formaldehyde, permeabilize with methanol, and stain with fluorophore-conjugated Phospho-VAV1 (Tyr174) antibodies
Advantages: Can simultaneously assess cell surface markers, allows for rare population analysis
Analysis approach: Use dimensionality reduction techniques (tSNE, UMAP) to identify distinct phosphorylation patterns across subpopulations
Mass cytometry (CyTOF):
Method: Use metal-conjugated Phospho-VAV1 (Tyr174) antibodies in combination with other signaling markers
Advantages: Higher multiplexing capability (30-40 parameters), minimal spectral overlap
Analytical consideration: Implement spanning-tree progression analysis of density-normalized events (SPADE) or PhenoGraph clustering algorithms
Imaging approaches:
Method: Imaging flow cytometry combines phospho-flow with cellular localization data
Advanced application: Use proximity ligation assay (PLA) to visualize interactions between phosphorylated VAV1 and binding partners like Lck, PI3K p85α, and PLCγ1
Analysis strategy: Quantify co-localization with TCR microclusters using spatial statistics
Single-cell sequencing integration:
Method: Index-sorting cells based on Phospho-VAV1 (Tyr174) levels followed by single-cell RNA sequencing
Application: Correlate phosphorylation status with transcriptional profiles
Analysis approach: Trajectory analysis to map signaling states to differentiation pathways
These techniques allow researchers to dissect the heterogeneity in VAV1 signaling across immune cell subsets, particularly important when studying complex diseases where specific cellular subpopulations may play distinct pathogenic roles.
Utilizing Phospho-VAV1 (Tyr174) as a biomarker for immune dysfunction requires rigorous methodological approaches to ensure reliability in clinical applications:
Sample preparation considerations:
Process fresh blood samples within 2 hours of collection to preserve phosphorylation status
If immediate processing isn't possible, use specialized phospho-preservative tubes
For frozen samples, validate phospho-stability under your storage conditions
Quantification methods for clinical samples:
ELISA-based assays: HTRF Human Phospho-VAV1 Tyr174 kits (detection limit ~16 μL sample volume)
AlphaLISA SureFire Ultra Human Phospho-VAV1 (Tyr174) assays (detection limit ~10 μL sample volume)
Standardization approaches:
Include calibrator samples with known phosphorylation levels
Normalize to total VAV1 protein to account for expression differences
Establish reference ranges from healthy control samples processed identically
Clinical validation strategy:
Determine assay precision using coefficient of variation across multiple runs
Establish clinical sensitivity and specificity for specific immune dysfunctions
Perform longitudinal studies to assess value as a disease activity marker
Correlate with established biomarkers and clinical outcomes
Potential applications:
Monitoring therapeutic responses in autoimmune diseases
Stratifying patients for clinical trials of immunomodulatory drugs
Early detection of immune dysfunction in high-risk populations
Predicting treatment response in conditions where VAV1 signaling is implicated
By implementing these methodological approaches, researchers can develop robust Phospho-VAV1 (Tyr174) biomarker assays with potential clinical utility in immune-mediated disorders.
The field of Phospho-VAV1 (Tyr174) research continues to evolve rapidly, with several promising research directions emerging:
Therapeutic targeting approaches:
As VAV1 is implicated in autoimmune disorders like multiple sclerosis, specific targeting of its phosphorylation represents a promising therapeutic strategy
VAV1 is being explored as a potential target for protein degradation therapies to combat autoimmune diseases
Researchers should consider using Phospho-VAV1 (Tyr174) antibodies to screen candidate compounds that modulate this signaling pathway
Expanded disease associations:
Beyond autoimmunity, VAV1 mutations have been identified in T-cell leukemia/lymphoma, peripheral T-cell lymphomas, lung adenocarcinoma, and squamous cell carcinomas
Methodological approach: Compare Phospho-VAV1 (Tyr174) patterns between wild-type and mutant VAV1 in these conditions
Innate immunity intersections:
Recent work has revealed VAV1 Tyr174 phosphorylation is critical in fungal immunity through Card9 signaling pathways
This opens new research directions exploring how adaptive and innate immune pathways converge on VAV1
Structural biology applications:
Using phospho-specific antibodies to purify and crystallize VAV1 in its phosphorylated state
This could reveal how Tyr174 phosphorylation structurally regulates the inhibitory constraint on the DH domain
Systems biology integration:
Combining Phospho-VAV1 (Tyr174) data with multi-omics approaches
Creating comprehensive signaling network models that position VAV1 within the broader immune signaling architecture
These emerging directions highlight the continuing importance of Phospho-VAV1 (Tyr174) antibodies as essential tools for understanding immune regulation in health and disease.