FCGR3B Antibody, FITC conjugated

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Description

Definition and Purpose

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 .

Structure and Function of FCGR3B

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 .

Primary Uses

ApplicationDescriptionKey Findings
Flow CytometryDetection of CD16b+ neutrophils in whole blood or isolated cells .Identifies neutrophil subsets critical for immune response analysis.
ADCC StudiesBlocks FCGR3B to enhance therapeutic antibody-mediated tumor cell clearance .Inhibition of FCGR3B increases ADCC efficiency by 2–3 fold .
Immune ProfilingEvaluates FCGR3B CNV impact on autoimmune disease susceptibility .Low FCGR3B copy numbers associate with SLE and rheumatoid arthritis (RA) severity .

Supporting Data

  • 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) .

Key Discoveries

  1. 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 .

  2. Impact of Polymorphisms:

    • FCGR3A V158F (high-affinity IgG1 binding) enhances NK cell-mediated ADCC .

    • FCGR2A 131H polymorphism improves IgG binding and cytokine release in response to therapeutic antibodies .

  3. CNV and Autoimmunity: Low FCGR3B copy numbers are associated with SLE and RA, potentially due to impaired neutrophil clearance of immune complexes .

Clinical Relevance

  • Biomarker Potential: FCGR3B CNV and FcγR SNPs may stratify patients for immunotherapies (e.g., trastuzumab, rituximab) .

  • Therapeutic Targeting: Blocking FCGR3B or modulating FCGR3B expression could enhance ADCC in cancer treatments .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship products within 1-3 business days of receiving your order. Delivery times may vary depending on the purchase method or location. Please consult your local distributor for specific delivery timeframes.
Synonyms
CD16 antibody; CD16b antibody; CD16b antigen antibody; Fc fragment of IgG low affinity IIIb receptor antibody; Fc gamma receptor IIIb antibody; Fc gamma RIII antibody; Fc gamma RIII beta antibody; Fc gamma RIIIb antibody; Fc-gamma RIII antibody; Fc-gamma RIII-beta antibody; Fc-gamma RIIIb antibody; FCG3 antibody; FCG3B_HUMAN antibody; FCGR3 antibody; FCGR3B antibody; FcR 10 antibody; FcR-10 antibody; FcR10 antibody; FcRIII antibody; FcRIIIb antibody; IGFR3 antibody; IgG Fc receptor III 1 antibody; IgG Fc receptor III-1 antibody; Low affinity immunoglobulin gamma Fc region receptor III B antibody; Low affinity immunoglobulin gamma Fc region receptor III-B antibody
Target Names
Uniprot No.

Target Background

Function
Fc gamma receptor IIIb (FCGR3B) is a receptor for the Fc region of immunoglobulin G (IgG). It is characterized as a low-affinity receptor that binds to complexed or aggregated IgG, as well as monomeric IgG. Unlike its counterpart, Fc gamma receptor IIIa (FCGR3A), FCGR3B is not capable of mediating antibody-dependent cytotoxicity or phagocytosis. It is believed to serve as a trap for immune complexes in the peripheral circulation, preventing the activation of neutrophils.
Gene References Into Functions
  1. SHP-2 is activated by CD16b crosslinking in neutrophils. PMID: 29137913
  2. FCGR3B deficiency due to copy number variations may predispose to eosinophilic granulomatosis with polyangiitis. PMID: 26684293
  3. The FCGR3B NA1/NA1 genotype is associated with hypersensitivity reactions to adalimumab in Japanese patients with Rheumatoid Arthritis. PMID: 27830964
  4. Data suggest an association of FCGR3B deletion with an increased risk of rheumatoid arthritis (RA) in a large cohort. PMID: 27995740
  5. Association between Fc gamma Receptor IIIB genetic polymorphisms and susceptibility to severe malaria anemia in children in western Kenya. PMID: 28427365
  6. CD16 and CD35 are important for neutrophil internalization of M. tuberculosis, whereas HIV-1 infection adversely affects opsonophagocytosis. PMID: 27258232
  7. There was no aberration in FCGR3B allele/genotype frequencies in sarcoidosis patients compared to controls. PMID: 26801149
  8. Results showed that susceptibility to systemic lupus erythematosus was associated with the FCGR3B*01 allele, as well as with the FCGR3B*01/*01 and FCGR3B*01/*02 genotypes. PMID: 26946294
  9. FcgammaRIIIB allelic distribution was similar among pediatric Guillain-Barre syndrome patients and controls. PMID: 27064330
  10. Data show that cross-linking FcgammaRIIIb is responsible for NET formation by the human neutrophil PMID: 27034964
  11. The results of this meta-analysis indicated that low FCGR3B CN increased susceptibility to autoimmune diseases--{REVIEW} PMID: 26407570
  12. FCGR3B copy number related to systemic lupus and lupus nephritis susceptibility. PMID: 24673810
  13. No relationship was found between the FCGR3B polymorphism and rheumatoid arthritis susceptibility. PMID: 26314337
  14. This study compared the FCGR3B gene frequencies among 230 unrelated healthy Eastern Thai blood donors in Rayong hospital with the previously published studies. PMID: 25626603
  15. FcgammaRIIIb polymorphism is not associated with susceptibility to systemic lupus erythematosus in Brazilian patients PMID: 24896836
  16. In the Indian population, FCGR3B gene copy number varied significantly when compared to other populations of the world. PMID: 25428402
  17. A high copy number of FCGR3B is associated with psoriasis vulgaris in Han Chinese. PMID: 25012234
  18. This suggests that FcgammaRIIIb signals in association with macrophage-1 Ag. PMID: 25024378
  19. The frequencies of FCGR3B*1, FCGR3B*2, and FCGR3B*3 alleles in central Thai blood donors were 0.548, 0.452, and 0.004. PMID: 24205492
  20. Copy number of polymorphisms in FCGR3B gene is associated with ulcerative colitis. PMID: 23917248
  21. The absolute risk of malaria decreased more rapidly with increasing antibody levels for Fc gamma receptor 3B 233AA/AC individuals compared with 233CC children. PMID: 23935200
  22. The FCGR3B NA1/NA2 polymorphism may be associated with susceptibility to aggressive periodontitis. PMID: 23649770
  23. Study concludes gene copy number of FcgammaR2C and FcgammaR3B influences IVIG treatment response and predisposes individuals to Kawasaki disease, providing potential insights into understanding the mechanism of the FcgammaR gene family in the IVIG pathway PMID: 23778324
  24. Allele frequencies were determined in the blood donor population as follows: 0.318 for HNA-1a, 0.668 for HNA-1b, 0.014 for HNA-1c, 0.768 for HNA-3a, 0.232 for HNA-3b, 0.882 for HNA-4a, 0.118 for HNA-4b, 0.736 for HNA-5a and 0.264 for HNA-5b. PMID: 23398146
  25. Higher CD16+ cytotoxic NK+T lymphocyte levels predict superior survival outcomes in patients with metastatic carcinoma. PMID: 23281059
  26. Low copy number of the Fc-gamma receptor 3B gene FCGR3B is a risk factor for primary Sjogren's syndrome. PMID: 22942264
  27. Studies indicate beta-defensins (DEFB4, DEFB103, DEFB104), chemokine ligand 3 like 1 (CCL3L1), Fc gamma receptor 3B (FCGR3B), and complement component C4 (C4) for copy number variation in disease association. PMID: 22837109
  28. The FcgammaRIIIB-SH allotype (CTGAAA) containing the 233A-allele (in bold) was associated with protection from malaria. The FcgammaRIIIB-NA2*03 allotype (CTGCGA), a variant of the classical FcgammaRIIIB-NA2 (CTGCAA) was associated with susceptibility to malaria. PMID: 23049979
  29. Suggest that impaired immune complex clearance arising from FCGR3B deficiency contributes to the pathology of systemic sclerosis, and FCGR3B copy number variation is a common risk factor for systemic autoimmunity PMID: 22551723
  30. CD14++CD16+ monocytes independently predicted cardiovascular events in subjects referred for elective coronary angiography. PMID: 22999728
  31. Study indicates that a low copy number of the FCGR3B gene is associated with susceptibility to rheumatoid arthritis (RA). PMID: 22309893
  32. The FcgammaRIIIB-NA1 variant, which confers higher affinity for IgG than the NA2 variant, is a determining factor for treatment response. PMID: 22565545
  33. FCGR3B*1, FCGR3B*2 and FCGR3B*3 allele frequencies were respectively 0.347, 0.573 and 0.080 among Tunisians of sub-Saharan origin, 0.379, 0.591 and 0.030 among Tunisian blood donors and 0.318, 0.546 and 0.136 among the group from sub-Saharan Africa. PMID: 22512913
  34. Both ADAM10 and ADAM17 could shed CD16b, but they possess differed preferences. ADAM10 is the main sheddase under stimulation of ionomycin, while ADAM17 is the main sheddase under stimulation of PMA. PMID: 22770404
  35. NA2/NA2 and/or NA2 allele may be risk factors for generalized aggressive periodontitis in the population of South India PMID: 22167032
  36. In this Brazilian FCGR3B*03(+) group we found that the inheritance of FCGR3B*03 took place by a linkage to FCGR3B*02 or to FCGR3B*01. PMID: 21895673
  37. FCGR3B DNA copy number variation is associated with systemic lupus erythematosus risk in afro-caribbeans. PMID: 21296850
  38. Monocyte subsets have specialized roles during inflammation: CD16-positive monocytes might undergo an immediate innate immune response, whereas CD16-negative monocytes could have a major role as antigen presenting cells. PMID: 21937707
  39. Our results suggest that FcgammaRIIIb might not be a susceptibility gene for SLE and lupus nephritis. PMID: 20300756
  40. Copy number associated with susceptibility to idiopathic pulmonary fibrosis PMID: 21109729
  41. IL-21 stimulates the production of IL-10 by CD4(+) T-cells. Secreted Il-10 maintains the expression of CD16 on monocytes. PMID: 21227406
  42. The neutrophil responses to stimuli that engage FcGR3B and FcGR2A, namely the phagocytosis of human IgG-opsonized zymosan and the responses to heat-aggregated IgGs PMID: 21123174
  43. FcgammaRIIIb NA1/2 polymorphisms are associated with idiopathic pulmonary fibrosis disease susceptibility but not with disease progression. PMID: 20924590
  44. Study highlights the complexity and poor characterization of the FCGR3B gene sequence, indicating that the design and interpretation of genotyping assays based on specific probe sequences must be performed with caution PMID: 20957197
  45. The FCGR3B NA1/NA1 genotype was found in 75% of the patients with infusion reactions and in only 37% of those without (p=0.01), whereas the FCGR3A 176F/V genotype was equally distributed in the patients with or without infusion reactions. PMID: 20980704
  46. FcgammRIIA and FcgammaRIIIB are required for neutrophil mediated dermal epidermal separation in bullous pemphigoid PMID: 20720565
  47. Results, obtained by fitting logistic regression models, confirm the association of low copy number of FCGR3B with systemic lupus erythematosus PMID: 20442749
  48. Results of the present study suggest that subjects carrying at least one copy of the FcgammaRIIIb-NA2 allele might be associated with susceptibility to aggressive periodontitis. PMID: 20041976
  49. The primary involvement of Fc gamma R IIIB NA2 allele is more likely involved with disease susceptibility of systemic lupus erythematosus. PMID: 20536598
  50. Significant evidence for an association between copy number and rheumatoid arthritis was observed in the Dutch cohort but not in the two smaller cohorts (New Zealand and United Kingdom populations, respectively). PMID: 20472591

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Database Links

HGNC: 3620

OMIM: 610665

KEGG: hsa:2215

STRING: 9606.ENSP00000294800

UniGene: Hs.372679

Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor. Secreted. Note=Secreted after cleavage.
Tissue Specificity
Expressed specifically by polymorphonuclear leukocytes (neutrophils). Also expressed by stimulated eosinophils.

Q&A

What is FCGR3B and how does it differ from FCGR3A?

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 .

What are the typical molecular characteristics of commercially available FCGR3B antibodies?

FCGR3B antibodies available for research typically manifest the following characteristics:

ParameterSpecificationSource
Calculated Molecular Weight26 kDa
Observed Molecular Weight55 kDa or 50-75 kDa range
ImmunogenHuman prokaryotic recombinant proteins (Pro24~Ser203)
Clonality OptionsMonoclonal (e.g., Clone C2) or Polyclonal
IsotypeIgG2a Kappa (monoclonal) or Rabbit IgG (polyclonal)
UniProt IDO75015
Gene ID (NCBI)2215

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.

What are optimal storage conditions for maintaining FCGR3B-FITC antibody functionality?

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.

Experimental Applications and Methodologies

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:

    • CD3 PerCP (negative)

    • CD14 Pacific Blue (negative/low)

    • CD56 PE (negative)

    • FCGR3B-FITC (positive)

  • Expression levels comparison across cell types:

    • Neutrophils (CD14−SSChi): High expression

    • Classical monocytes (CD14hi): Variable/low expression

    • NK cells (CD56dim): Negative for FCGR3B but positive for FCGR3A

    • B cells (CD19+): Typically negative

  • 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.

What methodological controls are essential when working with FCGR3B-FITC antibodies?

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.

How can researchers address weak signal intensity when using FCGR3B-FITC antibodies?

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.

What factors affect FCGR3B expression levels and how might this impact experimental results?

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:

    • Fresh vs. frozen samples: Freeze-thaw cycles significantly reduce detectable FCGR3B expression .

    • Staining protocol variations: Buffer composition, incubation time, and temperature.

    • Single-cell suspensions: Incomplete dissociation of cell clumps can affect results.

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 .

How can researchers distinguish between FCGR3A and FCGR3B binding when using antibodies?

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:

    • Use clone-specific antibodies validated for selective binding (e.g., Clone C2 for FCGR3B)

    • Verify specificity using cell types with differential expression patterns:

      • Neutrophils (predominantly FCGR3B+)

      • NK cells (FCGR3A+ but FCGR3B-)

  • 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.

How do FCGR3B copy number variations impact immune function and how can researchers account for this in experimental design?

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:

      • Ulcer

      • Rash

      • Discoid rash

      • Photosensitivity

      • Ascites

      • Nephritis

      • Complement level depression

      • Anti-double-stranded DNA antibody positivity

    • 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 .

What are the considerations for using FCGR3B-FITC antibodies in studies of antibody-dependent cellular cytotoxicity (ADCC)?

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:

    • Donors homozygous for both the high affinity FCGR2A-131H and FCGR3A-158V alleles mount stronger IFN-γ responses to antibody stimulation compared to donors homozygous for low affinity alleles .

    • These genetic influences may confound ADCC assay results if not properly controlled.

  • Assay format considerations:

    • Whole blood assays vs. isolated cell preparations

    • Significantly elevated IFN-γ release was associated with the FCGR2A-131H/H genotype compared to FCGR2A-131R/R in whole blood stimulations .

    • Fresh vs. frozen samples (significant differences in receptor expression)

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.

How can FCGR3B-FITC antibodies be used in investigating neutrophil extracellular trap (NET) formation?

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.

How does FCGR3B expression correlate with autoimmune disease activity?

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 .

What methodological considerations are important when using FCGR3B-FITC antibodies in clinical research studies?

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.

How can researchers optimize FCGR3B-FITC antibody-based assays for monitoring therapeutic monoclonal antibody efficacy?

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 .

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