The FCGR3B Antibody, FITC conjugated is a fluorescently labeled monoclonal antibody targeting the human FcγRIIIb receptor (CD16b), a low-affinity IgG receptor expressed predominantly on neutrophils and activated eosinophils . FITC (fluorescein isothiocyanate) conjugation enables detection via flow cytometry, immunofluorescence, and other fluorescence-based assays. This antibody is critical for studying immune cell interactions, particularly in antibody-dependent cellular cytotoxicity (ADCC) and immune complex clearance .
FCGR3B is a glycophosphatidylinositol (GPI)-anchored receptor with no intracellular signaling motifs, distinguishing it from other Fcγ receptors like FcγRIIa/c (CD32a/c) and FcγRIIIa (CD16a) . Key features include:
Role in ADCC: Acts as a decoy receptor, competing with FcγRIIa for IgG binding on opsonized targets, thereby reducing ADCC efficiency .
Gene Copy Number Variations (CNV): FCGR3B CNVs influence receptor expression levels. Low copy numbers correlate with reduced ADCC and are linked to autoimmune diseases like systemic lupus erythematosus (SLE) .
Polymorphisms: SNPs in FCGR3A and FCGR2A (e.g., V158F in FcγRIIIa) modulate IgG binding affinity and cytokine release, impacting therapeutic antibody efficacy .
ADCC Enhancement: Blocking FCGR3B with anti-CD16 antibodies (e.g., 3G8) improves trastuzumab or cetuximab-mediated ADCC in neutrophils .
CNV and Disease: Taiwanese studies show FCGR3B low-copy genotypes correlate with SLE manifestations (e.g., nephritis, anti-dsDNA antibodies) .
Decoy Receptor Activity: FCGR3B competes with FcγRIIa for IgG binding on tumor cells, reducing ADCC. Neutrophils with low FCGR3B expression (e.g., FCGR3B deletion) show enhanced ADCC .
Impact of Polymorphisms:
CNV and Autoimmunity: Low FCGR3B copy numbers are associated with SLE and RA, potentially due to impaired neutrophil clearance of immune complexes .
FCGR3B (CD16b) is a low-affinity Fc receptor encoded by the FCGR3B gene located on chromosome 1. It functions as a GPI-linked Fc-receptor primarily expressed on neutrophils. In contrast, FCGR3A (CD16a) is a type I transmembrane receptor expressed predominantly on macrophages and NK cells. Despite being encoded by nearly identical genes (FCGR3A and FCGR3B), the mature proteins differ by only four amino acid residues . This structural similarity presents challenges for antibody specificity, requiring careful validation in experimental settings. The primary functional difference is that FCGR3B serves as a neutrophil-specific receptor, while FCGR3A mediates functions including immune complex clearance, phagocytosis, and antibody-dependent cellular cytotoxicity on other immune cell types .
FCGR3B antibodies available for research typically manifest the following characteristics:
The discrepancy between calculated (26 kDa) and observed molecular weight (50-75 kDa) is attributed to post-translational modifications, particularly glycosylation, which significantly affects the migration pattern during SDS-PAGE analysis . Researchers should account for this variation when validating antibody specificity in Western blot applications.
FCGR3B antibodies conjugated with FITC require specific storage conditions to maintain fluorescence activity and binding efficiency. Based on manufacturer recommendations, researchers should:
Store at -20°C for long-term storage, with stability typically guaranteed for one year after production when properly maintained .
For antibodies in solution with glycerol (e.g., in PBS with 0.02% sodium azide and 50% glycerol, pH 7.3), aliquoting may be unnecessary for -20°C storage .
Avoid repeated freeze-thaw cycles, as these can compromise both antibody binding capacity and FITC fluorescence intensity.
Protect from prolonged light exposure, as FITC is susceptible to photobleaching.
For working solutions, maintain at 2-8°C and use within two weeks for optimal performance .
Researchers should verify specific storage recommendations provided by manufacturers, as formulation buffers may vary slightly between commercial sources.
When designing multicolor flow cytometry panels that include FCGR3B-FITC antibodies, researchers should consider:
Spectral overlap: FITC has an emission maximum at approximately 520 nm, which may overlap with PE and other green-yellow fluorochromes. Proper compensation controls are essential.
Recommended marker combinations for neutrophil identification:
Expression levels comparison across cell types:
For quantitative analysis, report results as geometric mean fluorescence intensity (MFI) after subtracting the corresponding isotype control staining value .
When analyzing FCGR3B expression in patient samples, particularly those with autoimmune conditions, consider including additional markers to identify activation states of neutrophils, as expression levels may correlate with disease activity.
Rigorous experimental controls are essential for reliable interpretation of FCGR3B-FITC antibody data:
Isotype controls: Include an IgG-FITC isotype control (matching the host species and isotype of the primary antibody) to assess non-specific binding. For example, MOPC-21 clone for mouse IgG1κ-FITC can serve as an appropriate control .
Biological controls:
Positive control: Neutrophils from healthy donors consistently express high levels of FCGR3B
Negative control: Lymphocytes typically lack FCGR3B expression
Cross-reactivity assessment: Due to high homology between FCGR3A and FCGR3B, validate specificity using:
NK cells (expressing FCGR3A but not FCGR3B)
Neutrophils (predominantly expressing FCGR3B)
Blocking controls: Pre-incubation with unconjugated antibody to demonstrate specific binding
FMO (Fluorescence Minus One) controls: Particularly important in multicolor panels to set accurate gates for FITC-positive populations .
These controls help mitigate misinterpretation of results due to non-specific binding, autofluorescence, or spectral overlap issues commonly encountered with FITC conjugates.
When encountering weak signal intensity with FCGR3B-FITC antibodies, researchers should systematically evaluate:
Sample preparation factors:
Fresh vs. frozen samples: Significant reductions in FCGR3B expression have been documented in freeze-thawed PBMCs compared to fresh whole blood samples . Analysis revealed significant reductions in the proportion of CD14hi monocytes, CD56dim NK cells, and FcγRIIIa expression in donor-matched freeze-thawed PBMC compared to whole blood samples .
Cell viability: Dead/dying cells can exhibit increased autofluorescence and non-specific binding.
Technical considerations:
Antibody titration: Perform dilution series (1:50 to 1:1000) to identify optimal concentration.
Incubation conditions: Optimize temperature (4°C vs. room temperature) and duration (15-60 minutes).
Buffer composition: Test different staining buffers containing protein blockers to reduce background.
Instrument settings:
PMT voltage adjustments for the FITC channel
Appropriate threshold settings
Regular calibration using standardized beads
Alternative detection approaches:
Consider signal amplification systems
Evaluate alternative fluorochromes with higher quantum yield (PE, APC) if FITC sensitivity is insufficient
Researchers should document all optimization steps systematically to establish reproducible protocols for their specific experimental systems.
Multiple biological and technical factors can influence FCGR3B expression levels, potentially confounding experimental results:
Biological variables:
Genetic variations: Copy number variations (CNVs) of FCGR3B genes significantly affect expression levels, with documented associations to autoimmune conditions like SLE .
Neutrophil activation state: Inflammatory stimuli can alter surface expression.
Demographic factors: Age, sex, and ethnicity may influence baseline expression patterns.
Pre-analytical variables:
Sample processing time: Delayed processing can affect receptor expression.
Anticoagulant choice: EDTA, heparin, and citrate may differentially impact expression.
Storage conditions: Temperature fluctuations during sample transport.
Technical considerations:
To mitigate these variables, researchers should maintain consistent protocols, include appropriate healthy controls in each experiment, and consider genetic screening for FCGR3B CNVs in studies focusing on expression level correlations with disease phenotypes .
Distinguishing between FCGR3A (CD16a) and FCGR3B (CD16b) presents significant challenges due to their high sequence homology, with only four amino acid differences between mature proteins . Researchers can implement several strategies:
Antibody selection approaches:
Functional discrimination methods:
Enzymatic treatment: FCGR3B is GPI-anchored and can be cleaved from the cell surface using phosphatidylinositol-specific phospholipase C (PI-PLC), while FCGR3A remains resistant.
Molecular weight differences: FCGR3B typically appears at ~55 kDa while FCGR3A shows different migration patterns on Western blots .
Genetic approaches:
Cell lines with known FCGR3A/B expression profiles as controls
CRISPR-Cas9 knockout controls for validation
Donor selection based on genotyped FCGR3B copy number variations
Advanced protocol considerations:
Perform cross-adsorption experiments with recombinant proteins
Implement competitive binding assays using unlabeled antibodies of known specificity
Consider dual staining approaches with differently labeled antibodies
The most robust approach combines multiple validation strategies, particularly when studying samples from patients with immune dysregulation where expression patterns may be altered.
FCGR3B copy number variations (CNVs) significantly influence immune function and should be considered in experimental design:
Impact on immune function:
Low FCGR3B copy number (<2 copies) is significantly associated with SLE susceptibility (OR 1.59, 95% CI 1.17−2.18) .
The FCGR3B low copy number genotype is significantly enriched in SLE patients with specific manifestations including:
FCGR3B CNVs were not significantly associated with RA susceptibility (P = 0.3584) , highlighting disease-specific associations.
Experimental design considerations:
Patient stratification: Genotype study participants for FCGR3B CNVs when investigating neutrophil functions or autoimmune phenotypes.
Control selection: Match control and experimental groups for CNV distribution.
Expression normalization: Consider relative expression rather than absolute values.
Functional assays: Include neutrophil functional assays (phagocytosis, oxidative burst) alongside expression analysis.
Methodological approaches for CNV determination:
Multiplex Ligation-Dependent Probe Amplification (MLPA) assays
Quantitative PCR
Digital droplet PCR
Next-generation sequencing with CNV analysis
Researchers investigating neutrophil functions or autoimmune conditions should consider incorporating FCGR3B CNV analysis into their experimental design, particularly when unexpected variability in FCGR3B expression or function is observed .
When investigating ADCC mechanisms involving FCGR3B-expressing cells, researchers should consider several important factors:
Functional distinctions:
Unlike FCGR3A, FCGR3B lacks a transmembrane domain and associates with the plasma membrane via a GPI anchor .
This structural difference results in distinct signaling properties, with FCGR3B primarily contributing to immune complex clearance rather than classic ADCC.
Neutrophil-mediated ADCC operates through mechanisms distinct from NK cell-mediated ADCC.
Methodological considerations for ADCC assays:
Cell population purity: Ensure high neutrophil purity with minimal contamination from NK cells (which express FCGR3A).
FCGR2A and FCGR3B polymorphisms: Donor genotyping is crucial as genetic variants significantly impact functional outcomes .
Assay readouts: Consider multiple endpoints beyond cytotoxicity, including:
Reactive oxygen species production
Neutrophil extracellular trap formation
Inflammatory cytokine release
Phagocytosis efficiency
Impact of FcγR genetics on immune cell responses:
Assay format considerations:
When designing ADCC studies involving FCGR3B, researchers should implement proper controls for genetic variations and carefully select assay formats that preserve physiological receptor expression and function.
FCGR3B-FITC antibodies offer valuable tools for investigating the relationship between Fc receptor engagement and NET formation:
Experimental approaches:
Co-localization studies: Combine FCGR3B-FITC staining with DNA markers (DAPI, Hoechst) and neutrophil granule proteins (MPO, NE) to visualize receptor distribution during NET formation.
Live-cell imaging: Monitor real-time dynamics of FCGR3B clustering and internalization preceding NET release.
Flow cytometry: Quantify FCGR3B expression changes during NET-inducing stimuli.
FCGR3B crosslinking: Use anti-FCGR3B antibodies as direct triggers for NET formation to establish receptor-specific pathways.
Protocol considerations:
Neutrophil isolation should employ gentle techniques to preserve surface receptor integrity.
Avoid activation during isolation by maintaining low temperatures and minimizing processing time.
Consider genetic variability in FCGR3B copy number when comparing NET formation between individuals .
Use fresh neutrophil preparations rather than frozen cells, as receptor expression is significantly affected by freeze-thaw cycles .
Analysis approaches:
Quantify NET formation using standardized image analysis algorithms.
Correlate FCGR3B expression levels with NET formation efficiency.
Implement inhibitor studies to delineate FCGR3B-specific signaling pathways.
Compare FCGR3B-triggered NET formation with classical stimuli (PMA, LPS, calcium ionophores).
This approach enables researchers to establish the specific contribution of FCGR3B engagement to NET formation pathways, potentially revealing therapeutic targets for conditions characterized by dysregulated NET release.
FCGR3B expression patterns and genetic variations demonstrate significant correlations with autoimmune disease manifestations:
These findings indicate that FCGR3B expression analysis using FITC-conjugated antibodies could provide valuable insights into disease pathogenesis and potentially guide personalized therapeutic approaches for autoimmune conditions, particularly SLE with specific clinical manifestations .
Clinical research studies employing FCGR3B-FITC antibodies require specialized methodological considerations:
Sample processing standardization:
Time from collection to processing significantly impacts receptor expression.
Standardized protocols are essential for multi-center studies.
Fresh whole blood samples provide more reliable results than freeze-thawed PBMCs, particularly when evaluating associations with FcγR genotypes .
Analysis revealed significant reductions in the proportion of CD14hi monocytes, CD56dim NK cells, and FcγRIIIa expression in donor-matched freeze-thawed PBMC compared to whole blood samples .
Genotype-phenotype correlations:
FcγR genotyping using Multiplex Ligation-Dependent Probe Amplification assays should be incorporated into study design .
For clinical response studies, patients should be stratified by FCGR2A, FCGR3A, and FCGR3B genotypes.
High affinity FCGR2A-131H and FCGR3A-158V alleles significantly influence functional responses to antibody stimulation .
Clinical sample considerations:
Disease activity may alter receptor expression independent of genetic factors.
Therapeutic interventions (particularly immunosuppressants) can modify expression patterns.
Concomitant infections may trigger neutrophil activation and receptor shedding.
Reference standards:
Establish standardized quantification approaches (molecules of equivalent soluble fluorochrome, MESF).
Include healthy control samples processed in parallel with patient samples.
Consider specialized stabilization tubes for samples that cannot be processed immediately.
These methodological considerations are particularly important when conducting longitudinal studies or when comparing results across different research centers, ensuring reproducibility and clinical relevance of findings.
Developing robust FCGR3B-FITC antibody-based assays for monitoring therapeutic monoclonal antibody efficacy requires specialized approaches:
Assay format selection:
Whole blood assays demonstrate superior sensitivity for detecting FcγR genotype-associated differences in response to therapeutic antibodies compared to freeze-thawed/pre-cultured PBMCs .
Fresh whole blood stimulation revealed significantly elevated IFN-γ release associated with the FCGR2A-131H/H genotype compared to FCGR2A-131R/R when exposed to therapeutic antibodies like Campath .
Cytokine release assay optimization:
Include multiple readouts beyond IFN-γ, such as TNF-α and IL-6, to comprehensively assess immune activation.
Donors homozygous for both high affinity FCGR2A-131H and FCGR3A-158V alleles mount stronger cytokine responses to antibody stimulation .
Standardize incubation times and temperatures for consistent results.
Flow cytometry panel design:
Monitor FCGR3B expression changes following therapeutic antibody exposure.
Include markers of neutrophil activation status.
Consider multiparametric approaches to simultaneously assess multiple FcγR family members.
Quality control measures:
Implement standardized positive controls with known FCGR3B engagement properties.
Include reference standards across different experimental batches.
Account for donor-specific variations in baseline FCGR3B expression.
Data interpretation framework:
Establish baseline values for different genotype groups.
Develop normalized response indices that account for individual variations.
Consider multivariate analysis approaches to integrate multiple parameters.
These optimized assays can provide valuable insights into patient-specific responses to therapeutic monoclonal antibodies, potentially guiding personalized treatment approaches and minimizing adverse events like cytokine release syndrome .