HOXD3 Antibody, FITC Conjugated, is typically a polyclonal or monoclonal antibody raised against specific epitopes of the HOXD3 protein. The FITC fluorophore is covalently linked via thiourea bonds formed between the isothiocyanate group of FITC and primary amines (e.g., lysine residues) on the antibody . Key features include:
Epitope Recognition: Targets regions such as residues 351–400 of mouse HOXD3, with cross-reactivity in human, mouse, and rat samples .
Fluorescence Properties: Excitation at 495 nm and emission at 519 nm, ideal for green-channel detection in fluorescence microscopy or flow cytometry .
Cell Staining: Detects endogenous HOXD3 in U2OS (osteosarcoma) and HEK293 cells, with validated protocols involving paraformaldehyde fixation and Triton X-100 permeabilization .
Signal Optimization: Requires blocking with PBS/10% fetal bovine serum (FBS) to reduce non-specific binding .
Functional Role: HOXD3 overexpression upregulates integrin β3, enhancing cancer cell motility, invasiveness, and metastatic potential .
Therapeutic Targeting: Inhibition of HOXD3 suppresses tumor angiogenesis by modulating integrin β3 and Wnt/β-catenin pathways .
Identifies bands at ~48 kDa (HOXD3) and ~35 kDa (truncated variant) in HEK293 and NGP96 cell lysates .
Photostability: FITC fluorescence degrades under prolonged light exposure; store in the dark at -20°C .
Labeling Index: Higher FITC-to-antibody ratios reduce binding affinity and increase non-specific staining. Optimal labeling must balance sensitivity and specificity .
Multiplexing Compatibility: FITC-conjugated HOXD3 antibodies can be paired with fluorophores like TRITC or Cy5 for multi-target imaging .
Specificity Testing: Validated using HOXD3-transfected HEK293 cells and recombinant GST-tagged HOXD3 .
Cross-Reactivity: Confirmed in human, mouse, and rat tissues, with no observed reactivity in non-transfected controls .
Angiogenesis Regulation: HOXD3 directly binds the β3 integrin promoter, promoting endothelial cell migration and vascular network formation .
Cancer Stemness: Overexpression in breast cancer correlates with drug resistance and stemness via integrin β3/Wnt signaling .
Developmental Biology: HOXD3 is essential for embryogenesis, skin development, and fetal wound healing .
HOXD3 (Homeobox D3) is a sequence-specific transcription factor that functions as part of a developmental regulatory system providing cells with specific positional identities on the anterior-posterior axis . Recent research has demonstrated that HOXD3 promotes migration and angiogenesis in hepatocellular carcinoma (HCC) by targeting the promoter region of CCR6 and inducing its transcription . The protein has a molecular weight of approximately 34-45 kDa and is expressed in several tissue types. HOXD3 has been implicated in various biological processes including cell migration, invasion, and angiogenesis, making it a significant target for research in developmental biology and cancer progression studies.
The HOXD3 Antibody, FITC conjugated (e.g., ABIN7155772) is a polyclonal antibody raised in rabbit that targets the amino acid sequence 263-346 of human HOXD3 protein . The antibody has undergone Protein G purification with >95% purity and uses recombinant Human Homeobox protein Hox-D3 protein (263-346AA) as the immunogen . The reagent is typically supplied in a liquid formulation containing preservatives such as Proclin 300 (0.03%), with 50% glycerol and 0.01M PBS at pH 7.4 . Its reactivity is primarily with human samples, and it is specifically designed for research applications, not diagnostic or therapeutic purposes .
The epitope selection targeting amino acids 263-346 of HOXD3 covers a critical functional region of the protein. This region appears to be relatively conserved in humans but may differ across species, explaining the antibody's specific reactivity to human samples . The selection of this particular epitope offers advantages for studying HOXD3's role in transcriptional regulation and protein-protein interactions, as this region may be involved in DNA binding or regulatory functions. When designing experiments, researchers should consider that this epitope selection might influence the antibody's ability to recognize HOXD3 in different conformational states or protein complexes. For cross-species studies, researchers should verify sequence homology in the epitope region before attempting to use this antibody in non-human models.
For optimal results with HOXD3 antibody in immunofluorescence applications, paraformaldehyde fixation (4%) followed by Triton X-100 permeabilization (0.1-0.5%) has shown good results . The following protocol is recommended:
Fix cells on coverslips with 4% paraformaldehyde for 15-20 minutes at room temperature
Wash 3x with PBS (5 minutes each)
Permeabilize with 0.2% Triton X-100 in PBS for 10 minutes
Block with 5% normal serum (matched to secondary antibody host) in PBS with 0.1% Triton X-100 for 1 hour
Incubate with HOXD3 antibody, FITC conjugated at 2-4 μg/mL in blocking buffer overnight at 4°C
Wash 3x with PBS (5 minutes each)
Mount with anti-fade medium containing DAPI
For tissues, extend fixation time appropriately and consider using a lower concentration of Triton X-100 (0.1%) during permeabilization to preserve tissue morphology while maintaining adequate antibody accessibility to the nuclear target.
When designing co-localization studies with FITC-conjugated HOXD3 antibody, consider the following methodological approach:
Fluorophore selection: Since HOXD3 antibody is conjugated to FITC (green fluorescence), select compatible fluorophores for co-staining that have minimal spectral overlap, such as TRITC/Cy3 (red) or Cy5/Alexa 647 (far-red).
Nuclear targeting considerations: Since HOXD3 is a transcription factor with nuclear localization, pair it with appropriate nuclear or subnuclear markers such as:
Controls: Include single-stained controls for each fluorophore to establish proper exposure settings and confirm absence of bleed-through.
Image acquisition: Utilize sequential scanning on confocal microscopy rather than simultaneous acquisition to minimize cross-talk between channels.
Quantification: Employ colocalization analysis software that calculates Pearson's correlation coefficient or Manders' overlap coefficient to quantitatively assess spatial relationships.
Before employing the HOXD3 antibody, FITC conjugated in critical experiments, researchers should undertake the following validation steps:
Positive and negative controls:
Peptide competition assay: Pre-incubate the antibody with excess immunizing peptide (HOXD3 aa 263-346) before application to samples, which should abolish specific staining.
Cross-reactivity assessment: Test the antibody on samples from other species if planning cross-species studies, despite the antibody being primarily validated for human reactivity .
Western blot validation: Though the FITC-conjugated antibody is primarily for immunofluorescence, testing an unconjugated version from the same clone in Western blot can confirm specificity at the expected molecular weight (approximately 34-45 kDa) .
Comparison with alternative antibodies: Compare staining patterns with other validated HOXD3 antibodies targeting different epitopes to confirm localization pattern.
FITC conjugates are particularly susceptible to photobleaching, which can significantly impact experimental outcomes. Here are the common issues and mitigation strategies:
Common issues:
Rapid signal fading during imaging acquisition
Inconsistent signal intensity between slides/samples
Poor signal-to-noise ratio in fixed samples stored for extended periods
Mitigation strategies:
Anti-fade reagents: Mount samples using specialized anti-fade mounting media containing anti-oxidants and radical scavengers.
Imaging parameters optimization:
Reduce exposure time and laser/light intensity
Increase gain/sensitivity if possible
Utilize frame averaging to improve signal-to-noise ratio
Capture FITC channel images first in multi-channel acquisition
Sample preparation:
Shield samples from light during all processing steps
Store slides at -20°C in the dark
Consider using vacuum-sealed containers for long-term storage
Alternative approaches:
For critical experiments requiring multiple viewing sessions, consider using more photostable fluorophores (Alexa 488 conjugated antibodies instead of FITC)
In live cell imaging applications, consider using lower antibody concentrations (1-2 μg/mL) and supplementing media with vitamin C (ascorbic acid, 100 μM) as an antioxidant
Optimizing signal-to-noise ratio for HOXD3 detection in low-expression systems requires a methodical approach:
Sample preparation optimization:
Extend primary antibody incubation to overnight at 4°C
Use a higher antibody concentration (4-6 μg/mL) for low-expressing samples
Optimize fixation time to preserve epitope accessibility (12-15 minutes may be optimal)
Consider mild antigen retrieval methods if appropriate for your sample type
Background reduction strategies:
Increase blocking time to 2 hours using 5-10% serum with 0.3% Triton X-100
Add 0.1-0.2% BSA to antibody dilution buffer
Include 0.05% Tween-20 in wash buffers
Perform additional wash steps (5-6 washes rather than standard 3)
Detection enhancement:
Use a high-sensitivity detection system if working with an unconjugated primary
Employ image acquisition settings optimized for low-signal detection (longer exposure, higher gain)
Utilize deconvolution software for image processing
Consider signal amplification methods such as tyramide signal amplification if compatible with experimental design
Positive controls: Always include a positive control sample with known high HOXD3 expression (such as HepG2 cells) to confirm antibody functionality.
To maintain optimal activity of FITC-conjugated HOXD3 antibody during storage:
Short-term storage (up to 1 month):
Store at 4°C protected from light
Add sodium azide to a final concentration of 0.02% if not already present in the formulation
Avoid repeated freeze-thaw cycles
Long-term storage (beyond 1 month):
Working solution preparation:
Thaw aliquots rapidly at room temperature
Centrifuge briefly before opening to collect all liquid
Prepare fresh working dilutions on the day of the experiment
Do not refreeze diluted antibody
Stability monitoring:
Test activity periodically on positive control samples
Note any decrease in staining intensity or increase in background as indicators of degradation
Typical shelf-life for properly stored FITC conjugates is 6-12 months
Although FITC-conjugated antibodies are not typically used directly in ChIP-seq, researchers can adapt protocols using the same antibody clone without FITC conjugation for ChIP applications. Based on recent findings about HOXD3's role in transcriptional regulation , a ChIP-seq approach would involve:
Experimental design considerations:
Focus on regulatory regions of CCR6, Med15, and CREBBP genes identified as HOXD3 targets
Include appropriate positive controls (known HOXD3 binding sites) and negative controls (non-bound regions)
Consider using a dual crosslinking approach (DSG followed by formaldehyde) for optimal capture of transcription factor complexes
Protocol modifications for HOXD3:
Use unconjugated version of the same antibody clone
Optimize chromatin fragmentation to 200-300bp
Increase antibody concentration (4-5 μg per ChIP reaction)
Extend incubation time to ensure efficient immunoprecipitation
Data analysis focus:
Search for enrichment near promoter regions of genes involved in cell migration, invasion, and angiogenesis
Analyze for common DNA binding motifs in HOXD3-bound regions
Compare binding profiles in normal versus cancer cell lines to identify differential regulatory patterns
Integrate with RNA-seq data to correlate binding with transcriptional outcomes
Validation of ChIP-seq findings:
Confirm selected binding sites using ChIP-qPCR
Validate functional relevance through reporter assays or CRISPR-mediated deletion of binding sites
Based on the identification of the HOXD3-CCR6 regulatory axis in hepatocellular carcinoma , researchers can employ several approaches to further investigate this pathway:
Co-expression analysis in patient samples:
Perform dual immunofluorescence using HOXD3 antibody, FITC conjugated and anti-CCR6 antibody (with compatible fluorophore)
Quantify correlation between HOXD3 and CCR6 expression levels
Correlate expression patterns with clinical parameters and patient outcomes
Functional validation in cell models:
Generate HOXD3 knockout/knockdown and overexpression models
Assess changes in CCR6 expression using qRT-PCR, Western blot, and immunofluorescence
Perform migration, invasion, and angiogenesis assays to assess functional outcomes
Rescue experiments by introducing CCR6 expression in HOXD3-deficient cells
Mechanistic studies of transcriptional regulation:
Use luciferase reporter assays with CCR6 promoter constructs to validate direct regulation
Perform site-directed mutagenesis of predicted HOXD3 binding sites in the CCR6 promoter
Analyze chromatin accessibility changes (ATAC-seq) at the CCR6 locus upon HOXD3 modulation
Investigate cofactor requirements through co-immunoprecipitation studies
In vivo validation:
Recent research has shown that CCR6, regulated by HOXD3, can be transported to endothelial cells by exosomes in the tumor microenvironment . To study this process:
Exosome isolation and characterization:
Isolate exosomes from culture media of HOXD3-overexpressing and control cells
Characterize exosomes by nanoparticle tracking analysis, electron microscopy, and Western blotting for exosomal markers
Analyze exosomal content for CCR6 protein and mRNA levels
Exosome labeling and trafficking studies:
Label isolated exosomes with fluorescent membrane dyes
Track uptake by recipient endothelial cells using live-cell imaging
Co-stain for HOXD3 (using FITC-conjugated antibody) and CCR6 in recipient cells
Assess colocalization and temporal dynamics of protein expression post-exosome uptake
Functional analysis of exosome-mediated effects:
Perform tube formation assays with endothelial cells treated with exosomes
Analyze migration, invasion, and angiogenic potential
Block exosome uptake using various inhibitors to confirm specificity
Deplete specific exosomal components to identify key mediators
In vivo exosome tracking:
Label exosomes with near-infrared dyes for in vivo imaging
Track biodistribution in tumor-bearing animals
Analyze tumor sections for exosome uptake by endothelial cells
Correlate with markers of angiogenesis and tumor progression
For accurate quantification of HOXD3 nuclear localization:
Image acquisition parameters:
Capture images at 40-63x magnification using confocal microscopy
Maintain consistent exposure settings across all samples
Collect z-stacks (0.5-1 μm steps) to capture the full nuclear volume
Include DAPI counterstain for nuclear identification
Quantification methodologies:
Nuclear/cytoplasmic ratio analysis:
Define nuclear regions based on DAPI staining
Measure mean FITC intensity in nuclear and cytoplasmic regions
Calculate nuclear/cytoplasmic ratio for each cell
Analyze at least 50-100 cells per condition
Nuclear intensity distribution:
Generate intensity histograms of nuclear HOXD3-FITC signal
Compare distribution patterns between experimental conditions
Assess for shifts in population distributions rather than just mean values
Subnuclear localization patterns:
Classify nuclear staining patterns (diffuse, punctate, peripheral)
Quantify number and intensity of nuclear foci if present
Correlate patterns with functional states (active vs. inactive)
Statistical analysis:
Use appropriate statistical tests based on data distribution
For comparing multiple conditions, employ ANOVA with post-hoc tests
Consider hierarchical analysis to account for cell-to-cell variability within samples
Present data as box plots or violin plots to show distribution characteristics
When analyzing HOXD3 expression in clinical samples:
Essential controls:
Positive tissue controls: Include samples known to express HOXD3 (developmental tissues or specific cancer types)
Negative controls: Include tissues known to have minimal HOXD3 expression
Technical controls:
Omit primary antibody (secondary-only control)
Include isotype control at equivalent concentration
Use blocking peptide competition to confirm specificity
Sample processing validation:
Verify consistent fixation quality across samples
Confirm nuclear antigen preservation using control nuclear markers
Standardize staining protocols, including antigen retrieval methods
Process all samples in the same batch when possible to minimize technical variation
Analytical validation:
Implement blinded scoring/quantification by multiple observers
Establish clear scoring criteria before analysis
Use digital image analysis when possible to reduce subjective interpretation
Validate findings with orthogonal methods (qRT-PCR, Western blot) when feasible
Correlate HOXD3 expression with known downstream targets (e.g., CCR6)
Clinical data integration:
Stratify analyses based on relevant clinical parameters
Control for potential confounding variables
Consider multiple hypothesis testing correction for correlative analyses
Validate findings in independent patient cohorts when possible
Distinguishing specific from non-specific signals in complex tissues requires rigorous methodology:
Technical approaches to enhance specificity:
Titrate antibody concentration to determine optimal signal-to-noise ratio
Extend blocking time (2-3 hours) with 5-10% normal serum from the same species as the secondary antibody
Add 0.1-0.3% Triton X-100 to blocking solution to reduce hydrophobic interactions
Increase wash duration and number of washes
Consider using specialized blockers for endogenous biotin or peroxidase if relevant
Validation controls:
Absorption controls: Pre-incubate antibody with immunizing peptide
Knockout validation: When available, use HOXD3 knockout tissue as negative control
Antibody comparison: Test multiple antibodies against different HOXD3 epitopes
RNA-protein correlation: Compare antibody staining pattern with in situ hybridization for HOXD3 mRNA
Pattern recognition for specific HOXD3 staining:
Specific staining should show predominantly nuclear localization
Signal intensity should correlate with known expression patterns
Staining should show biological gradient across tissue regions where relevant
Cellular staining should be consistent with known subcellular localization
Quantitative approach:
Plot signal intensity histograms comparing specific regions of interest vs. background
Determine threshold values based on negative controls
Consider autofluorescence spectra and implement appropriate corrections
Use spectral unmixing for complex tissues with high autofluorescence
| Detection Method | Advantages | Limitations | Optimal Applications |
|---|---|---|---|
| FITC-conjugated HOXD3 antibody | - Direct detection without secondary antibody - Reduced protocol time - Eliminates cross-reactivity from secondary antibodies - Good for multicolor staining | - Susceptible to photobleaching - Lower sensitivity than amplified methods - Not suitable for low-expressing samples - Limited ability to adjust signal strength | - Co-localization studies - Flow cytometry - Samples with robust HOXD3 expression |
| Unconjugated primary + fluorescent secondary | - Signal amplification - Greater sensitivity - Flexibility to adjust signal by varying secondary antibody concentration - Compatible with signal enhancement methods | - Longer protocol time - Potential cross-reactivity - Batch-to-batch variation in secondary antibodies | - Low abundance targets - Tissue sections - When signal strength needs adjustment |
| Enzymatic detection (HRP/AP) | - Highest sensitivity - Permanent signal (no photobleaching) - Compatible with archival samples - Signal visible by standard light microscopy | - Limited multiplexing - Diffusion of reaction products - Endogenous enzyme activity can cause background - Less precise subcellular localization | - Tissue microarrays - Archival samples - Longitudinal studies requiring permanent staining |
| In situ hybridization (RNA detection) | - Detects transcriptional activity - Independent validation of protein detection - Less affected by protein modifications | - Does not detect protein-level regulation - More complex protocol - Lower spatial resolution for subcellular localization | - Transcriptional studies - Validation of antibody specificity - When protein detection is challenging |
When faced with discrepancies in HOXD3 detection between methods, researchers should follow this analytical framework:
Methodological considerations:
Epitope availability: Different fixation methods may mask or expose different epitopes
Antibody specificity: Confirm whether antibodies target different regions of HOXD3
Detection thresholds: Assess sensitivity differences between methods
Sample preparation variations: Standardize protocols to eliminate technical variables
Biological interpretation:
Protein vs. mRNA discrepancies: Consider post-transcriptional regulation
Differential splicing: Verify whether antibodies detect different isoforms
Protein modification state: Assess whether antibodies are sensitive to phosphorylation or other modifications
Protein complexes: Determine if protein interactions mask epitopes in native conditions
Resolution strategies:
Orthogonal validation: Implement a third, independent method
Controlled manipulation: Use overexpression or knockdown to confirm antibody specificity
Domain-specific analysis: Use multiple antibodies targeting different regions
Subcellular fractionation: Biochemically separate cellular compartments before analysis
Mass spectrometry validation: Confirm protein identity in immunoprecipitated samples
Consensus approach:
Weight evidence based on methodological rigor
Consider biological plausibility of each result
Acknowledge limitations in publication and discussion
Present multiple lines of evidence rather than selecting only consistent results
Several cutting-edge technologies are poised to complement or potentially replace traditional antibody-based detection of HOXD3:
CRISPR-based tagging:
CRISPR knock-in of fluorescent proteins to endogenous HOXD3
Advantages: Endogenous expression levels, live-cell imaging compatibility
Limitations: Resource-intensive, potential functional interference, cell/organism-specific
Proximity ligation assays (PLA):
Mass cytometry (CyTOF):
Metal-tagged antibodies for high-dimensional single-cell analysis
Advantages: No spectral overlap issues, simultaneous measurement of >40 parameters
Applications: Comprehensive characterization of HOXD3 in heterogeneous tissues
Spatial transcriptomics:
In situ sequencing approaches to visualize HOXD3 mRNA in spatial context
Advantages: Transcriptome-wide perspective, preservation of tissue architecture
Limitations: Protein-level regulation not captured
Aptamer-based detection:
Synthetic nucleic acids selected for specific binding to HOXD3 protein
Advantages: Highly specific, reproducible, not animal-derived
Status: Emerging technology, not yet widely available for most targets
Single-cell proteomics:
Mass spectrometry-based approaches for single-cell protein quantification
Advantages: Unbiased detection, isoform differentiation
Limitations: Currently limited sensitivity for low-abundance transcription factors
Nanobody technology:
Single-domain antibodies derived from camelid immune systems
Advantages: Smaller size, better tissue penetration, reduced immunogenicity
Applications: Super-resolution microscopy of nuclear factors