DOCK3 Antibody, FITC conjugated consists of:
Antibody component: Polyclonal IgG raised in rabbits against recombinant human DOCK3 protein fragments (1-146AA or 1630-1934AA regions)
Fluorophore: FITC covalently linked via thiourea bonds to antibody amine groups, with excitation/emission at 499/515 nm
Acts as a guanine nucleotide exchange factor (GEF) for small GTPases
Modulates actin dynamics via interactions with WAVE complex and RAC1
DOCK3 interacts with presenilin proteins, reducing β-amyloid secretion in Alzheimer’s disease models .
Phosphorylates Tau protein (MAPT) at critical residues, influencing neurofibrillary tangle formation .
Knockdown of DOCK3 in Duchenne muscular dystrophy (DMD) myoblasts improves myotube fusion by 40% (p<0.01) .
Regulates actin cytoskeleton dynamics during myoblast differentiation .
Inhibits JNK signaling in B-cells via INPP5D/SHIP1 interaction .
Enhances GSK-3β phosphorylation at Ser9, modulating Wnt/β-catenin pathways .
| Supplier | Catalog Number | Price (USD) | Quantity |
|---|---|---|---|
| Cepham Life Sciences | N/A | Inquire | 50 µg |
| Assay Genie | PACO46804 | $260 | 50 µg |
| Abbexa | abxXXXXX | $375 | 100 µL |
DOCK3 (Dedicator of Cytokinesis 3, also known as MOCA or Modifier of Cell Adhesion) is a guanine nucleotide exchange factor (GEF) protein that activates the small GTPase Rac1. DOCK3 plays critical roles in multiple cellular processes:
Essential for normal muscle function and regeneration
Regulates glucose metabolism through interaction with SORBS1
Controls myoblast fusion and differentiation
Promotes axonal outgrowth in neurons by inactivating GSK-3β
Modulates cytoskeletal dynamics through WAVE complex interaction
DOCK3 has emerged as a key regulator in muscular dystrophy pathogenesis, with expression levels strongly linked to dystrophic pathologies in zebrafish and mouse models . Recent studies demonstrate that DOCK3 is a dosage-sensitive modulator of skeletal muscle health, making it an important research target .
Fluorescein isothiocyanate (FITC) is a reactive fluorescent dye that covalently binds to proteins at primary amine groups, particularly lysine residues. The conjugation process creates antibodies that emit green fluorescence (emission ~515-524 nm) when excited at ~495 nm, allowing direct visualization without secondary detection reagents.
Key characteristics of FITC conjugation:
Optimal conjugation occurs at pH 9.5 with high protein concentration (25 mg/ml)
Maximum labeling can be achieved in 30-60 minutes at room temperature
The molecular fluorescein/protein (F/P) ratio determines conjugate quality and brightness
Excitation/emission maxima wavelengths are typically 495 nm/515-524 nm
FITC conjugation enables direct detection of target proteins in applications like immunofluorescence microscopy and flow cytometry without requiring secondary antibody steps.
DOCK3-FITC antibodies are versatile research tools applicable to multiple experimental methods:
DOCK3-FITC antibodies are particularly valuable for investigating:
Proper storage is critical for maintaining FITC-conjugated antibody activity and fluorescence:
Temperature: Store at 2-8°C for short-term use; -20°C for long-term storage
Buffer composition: PBS with stabilizers (0.09% sodium azide and 0.5% BSA or 50% glycerol)
Light protection: Essential to prevent photobleaching of the FITC fluorophore
Aliquoting: Prepare small single-use aliquots to avoid repeated freeze-thaw cycles
Shelf life: Typically stable for one year after shipment when properly stored
Improper storage can lead to antibody degradation, loss of specificity, and decreased fluorescence intensity. Always validate antibody performance after extended storage periods.
Rigorous validation ensures experimental reliability and reproducibility:
Western blot analysis confirming a single band at the expected molecular weight (230-240 kDa)
Comparison with non-conjugated DOCK3 antibodies targeting the same epitope
Cross-reactivity testing with other DOCK family members (less than 3% cross-reactivity with DOCK1, DOCK2, and DOCK5 is typical)
Immunoprecipitation followed by mass spectrometry to confirm target identity
Correlation of staining patterns with known DOCK3 expression profiles in tissues
The Human DOCK3 Antibody from R&D Systems, for example, demonstrates less than 3% cross-reactivity with recombinant human DOCK1, DOCK2, and DOCK5 in direct ELISAs .
Proper controls are essential for accurate data interpretation:
For DOCK3 knockout controls, researchers can use tissues from DOCK3 mKO (muscle-specific knockout) or global KO mice that have been characterized in recent studies .
DOCK3 forms a complex with GSK-3β at the plasma membrane, leading to GSK-3β phosphorylation and inactivation, which affects downstream targets like CRMP-2 . To investigate this interaction:
Use co-immunofluorescence with DOCK3-FITC and anti-phosphorylated-GSK-3β antibodies
Focus on the DOCK3-GSK-3β binding domain (amino acids 1628-1777 of DOCK3)
Compare staining patterns of wild-type DOCK3 versus ΔGSK DOCK3 (deletion of residues 1628-1777)
Employ F-DOCK3 (farnesylated DOCK3) as a positive control for membrane localization
Quantify co-localization coefficients between DOCK3 and phosphorylated GSK-3β
Monitor changes in CRMP-2 phosphorylation status as a functional readout
This experimental approach can reveal how DOCK3 regulates microtubule assembly through GSK-3β inactivation and subsequent CRMP-2 dephosphorylation, influencing axonal outgrowth and potentially muscle cell function .
DOCK3 significantly impacts myoblast fusion and differentiation. To study this process:
Compare fusion index between control and DOCK3 knockdown myoblasts using immunofluorescence with DOCK3-FITC and myosin heavy chain (MyHC) antibodies
Quantify myogenic differentiation by calculating the percentage of MyHC-positive cells
Track DOCK3 localization during different stages of myoblast fusion
Analyze changes in actin dynamics through co-staining with F-actin markers
Correlate DOCK3 expression levels with fusion capacity in normal versus DMD myoblasts
Studies have shown that DMD myoblasts treated with shRNAi DOCK3 exhibit a significantly higher myogenic fusion index compared to controls, demonstrating DOCK3's importance in this process . Conversely, DOCK3 knockout myoblasts show impaired differentiation and reduced fusion capabilities .
DOCK3 knockout mice exhibit significant metabolic phenotypes, including hyperglycemia and altered glucose tolerance . To investigate DOCK3's metabolic functions:
Use DOCK3-FITC antibodies to track protein localization in muscle biopsies from metabolic disease models
Co-stain with SORBS1 antibodies to examine the DOCK3-SORBS1 interaction that regulates metabolism
Correlate DOCK3 expression levels with measures of insulin sensitivity and glucose tolerance
Analyze DOCK3 distribution in muscle fiber types with different metabolic profiles
Compare DOCK3 staining patterns between healthy and diabetic muscle samples
Investigate the relationship between DOCK3 and GLUT4 trafficking
This approach can reveal how DOCK3 contributes to skeletal muscle glucose homeostasis through its interaction with SORBS1 and potential effects on GLUT4 processing .
Researchers should address several technical considerations for quantitative applications:
Signal-to-noise ratio optimization: The FITC fluorophore has relatively high photobleaching rates compared to newer dyes
Autofluorescence: Muscle tissue has significant autofluorescence that can interfere with FITC detection
Fixing conditions: Different fixation methods can affect epitope accessibility and fluorescence intensity
Antibody concentration: Titration is necessary as FITC conjugation can alter optimal working dilutions
Subcellular localization: Distinguishing between membrane-bound and cytoplasmic DOCK3 requires high-resolution imaging
Fluorescence quantification: Standardized protocols for intensity measurement are needed for comparative studies
For flow cytometry applications, use 5 μl of antibody per 10^6 cells in a 100 μl suspension as a starting point, similar to other FITC-conjugated antibodies .
DOCK3 exhibits altered expression patterns in muscular dystrophy:
Increased DOCK3 expression correlates with disease severity in DMD patients
DOCK3 acts as a dosage-sensitive biomarker of DMD progression
Partial knockdown of DOCK3 (haploinsufficiency) improves muscle pathology in mdx mice
Complete knockout of DOCK3 in dystrophin-deficient mice worsens skeletal muscle and cardiac phenotypes
These findings suggest an optimal DOCK3 expression level exists for muscle health, with both overexpression and complete absence being detrimental . DOCK3-FITC antibodies can be valuable tools for monitoring these expression changes in patient biopsies and experimental models.
DOCK3-targeting therapies show promise for muscular dystrophy treatment:
Monitor changes in DOCK3 expression levels following therapeutic intervention
Assess restoration of normal subcellular localization patterns
Correlate DOCK3 levels with improvement in myofiber architecture and regeneration
Evaluate normalization of DOCK3-interacting pathways (GSK-3β, RAC1, WAVE complex)
Compare DOCK3 expression in responders versus non-responders to therapy
Studies in zebrafish models demonstrated that low-dose DOCK3 morpholino treatment improved muscle fiber architecture in dystrophic fish, while high-dose treatment worsened the phenotype, highlighting the importance of precise dosage monitoring .
Optimized protocol for DOCK3 immunofluorescence:
Fixation: 4% paraformaldehyde for 10-15 minutes at room temperature
Washing: 3x5 minutes with PBS
Permeabilization: 0.1% Triton X-100 for 5-10 minutes
Blocking: 5% BSA in PBS for 1 hour at room temperature
Primary antibody: DOCK3-FITC antibody at 5-15 μg/mL in blocking buffer, overnight at 4°C
Washing: 3x5 minutes with PBS
Counterstaining: DAPI (1:1000) for 5 minutes
Mounting: Anti-fade mounting medium
Imaging: Epifluorescence microscope with appropriate filter sets for FITC (Ex: 495nm, Em: 515-524nm)
For optimal results, protect samples from light during and after antibody incubation to prevent photobleaching of the FITC fluorophore.
| Problem | Possible Causes | Solutions |
|---|---|---|
| Weak signal | Low antibody concentration, epitope masking, photobleaching | Increase antibody concentration, optimize fixation, use anti-fade mounting medium |
| High background | Non-specific binding, autofluorescence, inadequate blocking | Increase blocking time/concentration, add 0.1% Tween-20 to washing buffer, use autofluorescence quenchers |
| No signal | Degraded antibody, absence of target epitope, incorrect filters | Use fresh antibody aliquot, validate with positive control tissue, check microscope filter settings |
| Non-specific staining | Cross-reactivity, excessive antibody concentration | Titrate antibody, perform blocking peptide controls, validate with knockout samples |
| Inconsistent results | Variability in fixation, processing, or storage conditions | Standardize protocols, store antibody properly, prepare fresh working solutions |
When troubleshooting, always include appropriate positive and negative controls to differentiate between antibody issues and biological variability .
For successful co-staining with other fluorophore-conjugated antibodies:
Choose fluorophores with minimal spectral overlap (e.g., FITC + Cy5)
If using multiple mouse or rabbit antibodies, consider sequential staining protocols
Begin with DOCK3-FITC staining, followed by additional markers
For optimizing DOCK3/GSK-3β co-staining, use antibodies against phosphorylated-GSK-3β from different host species
When studying DOCK3/WAVE complex interactions, pair FITC (green) with red fluorophores
Use spectral unmixing on confocal systems when fluorophore emission spectra overlap
Validate multiplex protocols with single-stained controls to assess bleed-through
This approach allows simultaneous visualization of DOCK3 with its interaction partners or downstream targets in the same sample.