DOK2 is implicated in immune signaling and cancer biology. Recent studies highlight its role:
TCR Signaling Modulation: DOK2 acts as a negative regulator of T-cell receptor (TCR) signaling. Its depletion in CD8+ T cells enhances effector memory formation and increases phosphorylation of ERK-1/2 and AKT, critical for T-cell activation .
Cancer Immunotherapy: While DOK2 depletion improves TCR signaling in primed (but not naïve) T cells, it does not significantly enhance cytotoxicity against melanoma cells (e.g., B16-hgp100 model) .
Aβ-Induced Inflammation: DOK2 phosphorylation mediates CD200Fc-induced attenuation of Aβ-induced cytokine production (IL-1β, TNFα) and microglial activation, suggesting therapeutic potential in Alzheimer’s disease .
Adaptor Function: DOK2 interacts with signaling proteins like RasGAP and SHIP, modulating MAP kinase pathways and Bcr-Abl signaling .
DOK2 (Downstream of tyrosine kinase 2) is an enzymatically inert adaptor or scaffolding protein that provides a docking platform for the assembly of multimolecular signaling complexes . As a well-known tumor suppressor gene located on human chromosome 8p21.3, DOK2 acts through tyrosine kinase receptors including EGFR, PDGFR, and Her-2/NEU-8 via negative feedback modulation of protein tyrosine kinase signal transduction . This protein is involved in various cellular processes including proliferation, differentiation, and apoptosis, making it a significant target for research in cell biology, immunology, and cancer studies .
DOK2 plays important roles in:
DOK2 antibodies refer to any antibodies that specifically recognize and bind to the DOK2 protein, while DOK2-FITC conjugated antibodies have been chemically linked to fluorescein isothiocyanate (FITC), a bright green fluorescent dye. The FITC conjugation allows direct visualization of the DOK2 protein in microscopy and flow cytometry applications without requiring secondary antibodies .
The practical difference lies in the methodology:
Unconjugated DOK2 antibodies require a labeled secondary antibody or detection system in applications like Western blot and immunohistochemistry
FITC-conjugated DOK2 antibodies enable direct detection via fluorescence microscopy or flow cytometry, simplifying experimental protocols and reducing background in multicolor experiments
DOK2-FITC conjugated antibodies are particularly useful for:
Immunofluorescence (IF) microscopy with recommended dilutions of 1:50-200
Flow cytometry for detecting DOK2 expression in various cell populations
Immunohistochemistry on paraffin-embedded tissues (IHC-P) with recommended dilutions of 1:50-200
Colocalization studies with other proteins labeled with different fluorophores
Tracking DOK2 expression and localization in live or fixed cells
When using these antibodies, optimal results are achieved by first validating the antibody specificity in your experimental system and optimizing the antibody concentration for your specific application.
For optimal staining with DOK2-FITC conjugated antibodies, sample preparation techniques depend on your application:
For IHC on paraffin-embedded tissues:
Section tissues at 4-6 μm thickness and mount on positively charged slides
Deparaffinize with xylene and rehydrate through an ethanol gradient
Perform antigen retrieval using microwave heating with 10 mM Tris/EDTA buffer pH 9.0
Block endogenous peroxidase activity using hydrogen peroxide
Apply protein blocking solution to reduce non-specific binding
Incubate with DOK2-FITC antibody at appropriate dilution (1:50-200)
Wash thoroughly and proceed with nuclear counterstaining if desired
For immunofluorescence on cultured cells:
Grow cells on coverslips or in chamber slides
Fix with 4% paraformaldehyde for 10-15 minutes at room temperature
Permeabilize with 0.1-0.5% Triton X-100 for 5-10 minutes
Block with 1-5% BSA or normal serum for 30-60 minutes
Wash and counterstain nuclei with DAPI if desired
Mount with anti-fade mounting medium
Validating antibody specificity is crucial for reliable research outcomes. For DOK2-FITC antibodies, consider these approaches:
Positive and negative controls:
Use cell lines known to express DOK2 (positive control) and those with low/no expression (negative control)
Consider using DOK2 knockout cells or tissues as definitive negative controls
Western blot validation:
Peptide competition assay:
Pre-incubate the antibody with the immunizing peptide
Compare staining patterns between blocked and unblocked antibody
siRNA knockdown verification:
Transfect cells with DOK2-specific siRNA and control siRNA
Confirm reduced signal in DOK2 knockdown samples compared to controls
Cross-reactivity assessment:
For robust immunofluorescence experiments with DOK2-FITC antibodies, include these essential controls:
Isotype control: Use FITC-conjugated rabbit IgG at the same concentration as the DOK2-FITC antibody to assess non-specific binding
Autofluorescence control: Include an unstained sample to determine background autofluorescence of your cells or tissues
Single-stain controls: When performing multi-color immunofluorescence, include single-stained samples for each fluorophore to set compensation parameters
Biological controls:
Positive control: Cells known to express DOK2 (e.g., immune cells, certain cancer cell lines)
Negative control: Cells with low/no DOK2 expression or DOK2 knockout cells
Technical controls:
Secondary antibody-only control (when using indirect methods)
Blocking peptide control to demonstrate staining specificity
Phosphorylation state controls: When studying phosphorylated DOK2 (e.g., at Tyr299), include samples treated with phosphatase inhibitors versus phosphatase-treated samples
DOK2 plays a critical role in T-cell signaling and memory formation, making FITC-conjugated antibodies valuable tools for this research. Based on recent findings, here's a methodological approach:
Experimental design for T-cell signaling studies:
Isolate CD8+ T cells from wild-type and DOK1/DOK2 double knockout (DKO) mice
Stimulate cells with CD3 mAbs to activate TCR signaling
Use DOK2-FITC antibodies in flow cytometry or microscopy to track changes in DOK2 expression and localization
Simultaneously assess phosphorylation levels of AKT and ERK1/2 as downstream markers of enhanced TCR signaling
Memory T-cell differentiation analysis:
Research has shown that DOK1/DOK2 depletion in CD8+ T cells after in vitro pre-stimulation induces a higher percentage of effector memory T cells and upregulates TCR signaling cascade components, particularly phosphorylated AKT and ERK . This suggests DOK2 plays a regulatory role in memory T-cell formation, which can be effectively studied using fluorescently labeled antibodies.
Investigating DOK2 phosphorylation states is crucial for understanding its function in signaling pathways. Here's a methodological approach combining phospho-specific and FITC-conjugated antibodies:
Dual immunofluorescence strategy:
Stimulation-response experiments:
Treat cells with stimulants known to induce DOK2 phosphorylation (e.g., EGF, platelet-derived growth factors)
Fix cells at various time points (0, 5, 15, 30, 60 minutes)
Perform immunofluorescence with phospho-DOK2 antibodies
Quantify fluorescence intensity changes over time using image analysis software
Pharmacological interventions:
Pre-treat cells with kinase inhibitors (e.g., Src family kinase inhibitors)
Stimulate with appropriate agonists
Assess DOK2 phosphorylation status using immunofluorescence or Western blot
Compare phosphorylation levels between treated and control samples
Sample preparation for phospho-protein analysis:
DOK2 has been identified as a tumor suppressor, making it an important target for cancer research. Here's how to leverage DOK2-FITC antibodies in this context:
Tumor tissue microarray analysis:
Create tissue microarrays containing multiple tumor samples and matched normal tissues
Perform immunofluorescence staining with DOK2-FITC antibodies
Quantify DOK2 expression levels across different cancer types and stages
Correlate expression patterns with clinical outcomes and pathological features
Functional studies in cancer cell lines:
Manipulate DOK2 expression through overexpression or knockdown approaches
Assess changes in:
Use DOK2-FITC antibodies to confirm expression changes and study subcellular localization
Signaling pathway analysis:
In vivo tumor models:
Develop xenograft models using DOK2-manipulated cancer cells
Harvest tumors for immunofluorescence analysis with DOK2-FITC antibodies
Correlate DOK2 expression with tumor growth kinetics and metastatic potential
When working with DOK2-FITC conjugated antibodies, researchers may encounter several challenges:
Photobleaching:
Issue: FITC is prone to photobleaching during microscopy
Solution: Minimize exposure to light; use anti-fade mounting media containing agents like DABCO or PPD; consider using LED light sources instead of mercury lamps; capture FITC images first in multi-channel imaging
Autofluorescence:
Issue: Tissues may have natural fluorescence in the FITC channel
Solution: Use autofluorescence quenching agents like Sudan Black B (0.1-0.3%); include unstained controls; consider using spectral unmixing on confocal microscopes
pH sensitivity:
Issue: FITC fluorescence is optimal at alkaline pH (>7.5) and decreases at lower pH
Solution: Ensure buffers are properly prepared and at optimal pH; avoid acidic mounting media
Low signal-to-noise ratio:
Issue: High background with weak specific signal
Solution: Optimize antibody concentration; increase blocking time/concentration; use more extensive washing steps; consider alternative fixation methods
Cross-reactivity:
Issue: Non-specific binding to other proteins
Solution: Validate antibody specificity using techniques described in FAQ 2.2; increase blocking time; consider using different blocking agents (BSA, normal serum, commercial blockers)
Optimizing staining protocols for different sample types requires systematic adjustment of multiple parameters:
For cell lines:
Fixation: Test different fixatives (4% PFA, methanol, acetone) and fixation times
Permeabilization: Optimize detergent type (Triton X-100, saponin) and concentration (0.1-0.5%)
Blocking: Test different blocking agents (1-5% BSA, normal serum, commercial blockers)
Antibody dilution: Test a range of dilutions around the recommended 1:100-1:200
Incubation conditions: Compare room temperature vs. 4°C, and different incubation times
For tissue sections:
Antigen retrieval: Compare heat-induced epitope retrieval methods:
Section thickness: Optimize between 4-6 μm for paraffin sections
Antibody penetration: Increase incubation time for thicker sections
Background reduction: Test Sudan Black B treatment to reduce autofluorescence
Signal amplification: Consider tyramide signal amplification if signal is weak
For flow cytometry:
Cell preparation: Optimize fixation and permeabilization for intracellular staining
Antibody concentration: Titrate to determine optimal staining index
Buffer composition: Test different staining buffers with/without serum
Compensation: Properly compensate for spectral overlap when using multiple fluorophores
Gating strategy: Develop appropriate gating based on controls
The phosphorylation status of DOK2 can significantly impact antibody binding, particularly when using antibodies targeting specific epitopes:
Effect of phosphorylation on epitope accessibility:
Phosphorylation can induce conformational changes that may mask or expose certain epitopes
This can affect binding efficiency of antibodies not specifically designed to recognize phosphorylated sites
Solution: Use a combination of phospho-specific and total DOK2 antibodies to get a complete picture
Methodological approaches:
Phosphatase treatment controls: Treat duplicate samples with lambda phosphatase to remove phosphate groups
Kinase treatment: Enhance phosphorylation using appropriate kinase activators (e.g., EGF treatment for DOK2 Tyr299 phosphorylation)
Comparison of phospho-specific vs. total DOK2 antibodies: Use both in parallel experiments
Site-directed mutagenesis: Create phospho-mimetic (e.g., Y299D) or phospho-null (e.g., Y299F) DOK2 mutants to validate antibody specificity
Optimizing detection of phosphorylated DOK2:
Include phosphatase inhibitors (sodium orthovanadate, sodium fluoride, β-glycerophosphate) in all buffers
Process samples quickly to minimize dephosphorylation
Consider using phospho-specific antibodies like anti-DOK2 (phospho Tyr299)
Use dual staining with total DOK2-FITC and phospho-DOK2 antibodies detected with a different fluorophore
Sample preparation considerations:
Different fixation methods can differentially preserve phospho-epitopes
Formalin fixation may better preserve phosphorylated residues compared to alcohol-based fixatives
Antigen retrieval conditions may need to be optimized specifically for phospho-epitopes
Integrating DOK2-FITC antibody data with other molecular techniques provides a comprehensive understanding of DOK2's role in signaling networks:
Multi-omics integration approach:
Combine immunofluorescence data with phosphoproteomics
Correlate DOK2 localization/expression with RNA-seq transcriptome data
Integrate with interactome data from proximity labeling or co-immunoprecipitation studies
Methodological workflow:
Use DOK2-FITC antibodies for cellular localization and expression level analysis
Perform parallel phosphoproteomics to identify phosphorylation changes in MAPK and Akt pathways
Conduct ChIP-seq to identify transcriptional changes downstream of DOK2 signaling
Analyze data using pathway analysis tools to identify signaling networks
Single-cell multi-parameter analysis:
Combine DOK2-FITC flow cytometry with phospho-flow for ERK and Akt
Assess correlation between DOK2 expression and downstream signaling at single-cell level
Use dimensionality reduction techniques (t-SNE, UMAP) to visualize multi-parameter data
Temporal dynamics analysis:
Use live-cell imaging with DOK2-FITC antibodies (if cell-permeable versions are available)
Track DOK2 localization changes following stimulation
Correlate with real-time biosensors for MAPK or Akt activity
Recent research has revealed critical roles for DOK2 in immune cell function that can be further investigated using FITC-conjugated antibodies:
T-cell memory formation and signaling:
Recent finding: DOK1/DOK2 depletion in CD8+ T cells induces higher percentages of effector memory T cells and upregulates TCR signaling cascade components
Application: Use DOK2-FITC antibodies in flow cytometry panels with memory markers (CD44/CD62L) to track DOK2 expression during memory T-cell differentiation
Negative regulation of CD8+ T-cell responses:
Platelet function regulation:
T-cell receptor signaling regulation:
CD200R-mediated inhibitory signaling:
Quantitative analysis of DOK2 expression patterns using FITC-conjugated antibodies requires rigorous methodological approaches:
Flow cytometry-based quantification:
Method: Create a standardized flow cytometry panel including DOK2-FITC
Analysis: Calculate median fluorescence intensity (MFI) and percent positive cells
Quantification: Use calibration beads with known fluorophore molecules to convert MFI to molecules of equivalent soluble fluorochrome (MESF)
Application: Compare DOK2 expression levels across different immune cell subsets or disease states
Quantitative microscopy approaches:
Method: Standardize image acquisition settings (exposure time, gain, laser power)
Analysis tools: Use software like ImageJ, CellProfiler, or QuPath for automated quantification
Parameters to measure:
Mean fluorescence intensity per cell
Nuclear-to-cytoplasmic ratio of DOK2 expression
Colocalization coefficients with signaling partners
Normalization: Include internal controls in each experiment
Tissue microarray analysis for disease states:
Method: Create tissue microarrays with multiple samples from different disease states
Staining: Use DOK2-FITC antibodies with standardized protocols
Quantification: Apply automated image analysis algorithms to quantify expression levels
Statistical analysis: Correlate DOK2 expression with clinical parameters and outcomes
Single-cell analysis workflow:
Method: Combine DOK2-FITC antibody staining with single-cell sequencing approaches
Analysis: Correlate protein expression with transcriptomic profiles
Application: Identify cell subpopulations with distinct DOK2 expression patterns
Visualization: Use t-SNE or UMAP plots to display multidimensional data
As cancer immunotherapy continues to evolve, DOK2-FITC antibodies offer valuable tools for several emerging research directions:
Predictive biomarker development:
Given DOK2's role as a tumor suppressor , its expression levels could serve as biomarkers for immunotherapy response
Method: Use DOK2-FITC antibodies to screen patient samples prior to immunotherapy
Application: Correlate DOK2 expression patterns with clinical outcomes
Potential: Develop companion diagnostics for immunotherapy patient selection
T-cell engineering enhancement:
Recent finding: Targeting TCR-signaling inhibitory proteins like CISH improves TCR activation and tumor clearing
Application: Investigate DOK2 manipulation in adoptive T-cell therapies
Method: Use DOK2-FITC antibodies to monitor expression in engineered T cells
Potential: Enhance CAR-T or TCR-T cell therapy efficacy by modulating DOK2 levels
Combination therapy optimization:
Rationale: DOK2's role in modulating signaling pathways suggests potential synergies with targeted therapies
Method: Use DOK2-FITC antibodies to monitor expression changes during combination treatments
Application: Study how DOK2 expression affects response to immune checkpoint inhibitors
Potential: Identify rational drug combinations based on DOK2 expression patterns
Tumor microenvironment evaluation:
Method: Multiplex immunofluorescence with DOK2-FITC and other immune cell markers
Application: Characterize DOK2 expression in tumor-infiltrating lymphocytes
Analysis: Correlate spatial distribution of DOK2+ cells with therapeutic outcomes
Potential: Discover new prognostic indicators and therapeutic targets
Several methodological advances could enhance the utility of DOK2-FITC antibodies in future research:
Advanced microscopy techniques:
Super-resolution microscopy to visualize DOK2 nanoscale organization in signaling clusters
Light-sheet microscopy for rapid 3D imaging of DOK2 distribution in tissue samples
Multiphoton microscopy for deep tissue imaging of DOK2 in intact organs
FRET-based approaches to study DOK2 interactions with binding partners
Single-molecule approaches:
Single-molecule tracking of DOK2 dynamics using brighter and more stable fluorophores
Expansion microscopy to physically enlarge specimens for improved resolution
Correlative light and electron microscopy to link DOK2 localization with ultrastructure
Multiplex imaging enhancements:
Cyclic immunofluorescence to analyze DOK2 alongside dozens of other markers
Mass cytometry (CyTOF) with metal-tagged DOK2 antibodies for high-parameter analysis
Spatial transcriptomics combined with DOK2 protein detection
Quantum dot-conjugated antibodies for improved stability and brightness
Live-cell applications:
Development of cell-permeable DOK2-FITC nanobodies for live-cell imaging
Optogenetic tools to manipulate DOK2 function while monitoring localization
Biosensors to detect DOK2 conformational changes upon phosphorylation
Computational methods:
Machine learning algorithms for automated DOK2 expression pattern recognition
Integrative multi-omics approaches linking DOK2 protein expression with genetic and transcriptomic data
Digital pathology workflows for large-scale analysis of DOK2 expression in clinical samples