rIIA Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
rIIAProtein rIIA antibody
Target Names
rIIA
Uniprot No.

Target Background

Function
rIIA Antibody may play a role in viral replication. It has been found in complexes containing several enzymes involved in deoxyribonucleotide synthesis, which are associated with DNA and host cell membranes. This antibody may be required for maintaining membrane integrity during the viral replication process.
Database Links

KEGG: vg:1258593

Subcellular Location
Host cell inner membrane. Note=On the inner membrane of the host shortly after infection.

Q&A

What is Fc gamma RIIA and what distinguishes it from other Fc receptors?

Fc gamma RIIA (CD32a) belongs to the Fc gamma RII class of receptors, one of three major classes of Fc gamma receptors (Fc gamma RI/CD64, Fc gamma RII/CD32, and Fc gamma RIII/CD16). These classifications are based on close relationships in their extracellular domains. While Fc gamma RI (CD64) binds IgG with high affinity (~10^-8-10^-9 M) and can bind monomeric IgG, Fc gamma RIIA and other CD32 and CD16 proteins have lower binding affinities (~10^-6-10^-7 M) and typically only recognize IgG aggregates surrounding multivalent antigens . This differential binding capacity is critical to consider when designing experiments involving these receptors.

What are the common polymorphisms of Fc gamma RIIA and their functional significance?

Fc gamma RIIA exhibits several polymorphisms, with the R131 and H131 variants being the most extensively studied. These variants differ at amino acid position 131, where either arginine (R) or histidine (H) is present. Research has shown these polymorphisms affect binding affinity to different IgG subclasses and may influence susceptibility to certain diseases.

The frequency distribution of these polymorphisms varies among populations. In one study of Indian SLE patients and normal controls, the genotype distributions were:

PopulationR131H131R131/R131R131/H131H131/H131
Normal Controls (n = 80)0.40.68 (10%)50 (62.5%)22 (27.5%)
All SLE (n = 80)0.550.4516* (20%)54 (67.5%)10* (12.5%)
Lupus Nephritis (n = 53)0.550.4510 (18.9%)38 (71.7%)5* (9.4%)
SLE without nephritis (n = 27)0.520.486 (22.2%)16 (59.3%)5 (9.4%)

*Significant "P" value: P < .05

This data suggests that R131/R131 genotype may be associated with increased susceptibility to SLE while the H131/H131 genotype might offer some protection against the disease.

How do Fc gamma RIIA antibodies differ from the actual Fc gamma RIIA receptors?

Fc gamma RIIA antibodies are immunoglobulins designed to specifically bind to Fc gamma RIIA receptors. They should not be confused with the receptors themselves. These antibodies are critical research tools used to:

  • Detect the presence of Fc gamma RIIA in research samples

  • Study receptor expression and distribution in different cell types

  • Block or activate receptor function in experimental settings

  • Isolate Fc gamma RIIA-expressing cells via immunoprecipitation or cell sorting

When designing experiments, researchers should carefully select antibodies validated for their specific application (e.g., Western blot, ELISA, immunohistochemistry, or functional studies) .

How does Fc gamma RIIA genotype influence antibody-dependent immune responses and disease susceptibility?

The Fc gamma RIIA genotype significantly impacts antibody-dependent immune responses and disease susceptibility, particularly in autoimmune conditions. In SLE patients, research has revealed crucial associations:

  • Patients with the R131/R131 genotype demonstrated significantly higher disease activity. Among patients with this genotype, 62.5% exhibited severe disease activity (SLEDAI >18), compared to patients with other genotypes .

  • The R131 variant is associated with increased susceptibility to lupus nephritis (LN). The study found that among anti-C1q positive patients, 71% had R131/H131 genotype, 22.6% had R131/R131, and only 6.4% had H131/H131 .

  • All anti-C1q positive patients with R131/R131 genotype had elevated levels of anti-C1q antibodies (>100 U/ml), whereas among anti-C1q negative patients, none had the R131/R131 genotype .

These findings suggest that Fc gamma RIIA genotyping may serve as a valuable biomarker for predicting disease severity, particularly in SLE patients with renal manifestations. The mechanistic explanation involves differential internalization pathways: Fc gamma RIIA is typically degraded upon Fc binding whereas other receptors like Fc gamma RIIB are recycled, enabling a higher degree of clustering .

What is the role of Fc gamma RIIA in antibody-based therapeutic development?

Fc gamma RIIA plays a crucial role in the development of therapeutic antibodies, particularly for agonist antibodies where receptor clustering and downstream signaling are essential:

  • Fc Engineering for Receptor Selectivity: Engineering antibody Fc regions to modulate binding to Fc gamma RIIA versus other Fc receptors can significantly impact therapeutic efficacy. For instance, reducing affinity to Fc gamma RIIA while enhancing binding to Fc gamma RIIB has been shown to improve agonist antibody function .

  • Divergent Internalization Pathways: Understanding that "Fc gamma RIIA is typically degraded upon Fc binding whereas Fc gamma RIIB is typically recycled" provides a mechanistic explanation for why certain Fc modifications enhance therapeutic activity .

  • Isotype Selection Impact: The antibody isotype significantly influences the interaction with Fc gamma RIIA. Research shows that IgG2 isotype antibodies can induce improved T-cell activation compared to IgG1 in certain contexts, and the h2B isoform of IgG2 has demonstrated enhanced potency due to its more compact conformation that enables close packing of target receptors .

  • Alternative Engineering Approaches: To overcome limitations related to variable Fc gamma R expression, researchers have developed innovations such as Fc mutations (T437R and K248E) that facilitate hexamerization of antibody Fc regions when bound to target receptors, promoting clustering and enhancing activity by approximately 30% in Fc gamma R-independent fashion .

These findings are highly relevant for researchers developing therapeutic antibodies, particularly those targeting immune receptors where agonist activity is desired.

How do radioimmunoassay (RIA) methods compare to other immunoassay techniques for detecting antibodies in research and clinical applications?

Radioimmunoassay (RIA) offers distinct advantages and limitations compared to other immunoassay techniques:

Sensitivity and Interference: RIA demonstrates high sensitivity for antigen detection, making it valuable for measuring low-concentration analytes. In thyroglobulin (Tg) testing, for example, RIA has proven "resistant to interference by TgAb" (thyroglobulin antibodies), whereas immunometric assays (IMA) may be susceptible to such interference. This leads to strategic testing approaches where "specimens with any measurable levels of TgAb are assayed by an RIA method" to ensure accurate results .

Methodological Differences:

  • RIA Principle: RIA involves competition between unlabeled antigen from the sample and radiolabeled antigen for binding to a limited amount of antibody. The concentration of free labeled antigen becomes proportional to the bound unlabeled antigen .

  • Workflow Comparison:

    • RIA requires radioisotope handling and measurement with a gamma counter

    • ELISA uses enzyme-linked detection systems with colorimetric or fluorescent readouts

    • CLIA (chemiluminescent immunoassay) utilizes chemiluminescent labels

Performance in Comparative Studies: In a comprehensive study evaluating 16 serological assays for SARS-CoV-2 antibodies, total antibody assays generally demonstrated higher sensitivity than IgG-specific assays. The highest performing assays achieved sensitivities of over 95% and specificities ≥99% .

Theoretical Considerations: According to theoretical models, "the greatest sensitivity of the RIA is achieved when the smallest amount of labelled antibody is used" and "whenever possible the antigen/antibody ratio should be greater than unity (greater than 1)" .

For researchers designing antibody detection experiments, these comparative insights should inform the selection of the most appropriate assay technology based on specific research requirements, available equipment, and the nature of potential interfering substances in the samples.

What are the optimal protocols for using Fc gamma RIIA antibodies in different experimental applications?

The experimental application of Fc gamma RIIA antibodies requires careful methodological consideration to ensure valid and reproducible results:

Western Blot Applications:

  • Reducing conditions are recommended for detecting Fc gamma RIIA, as demonstrated in studies that successfully detected bands at approximately 65 kDa using mouse anti-human Activin RIIA monoclonal antibody (1 μg/mL) followed by HRP-conjugated anti-mouse IgG secondary antibody .

  • Buffer selection is critical, with Immunoblot Buffer Group 1 showing effective results for Fc gamma RIIA detection .

Immunohistochemistry Protocols:

  • For paraffin-embedded tissue sections, optimal results have been obtained using 15 μg/mL of antigen affinity-purified polyclonal antibodies with overnight incubation at 4°C .

  • HRP-AEC staining kits with hematoxylin counterstaining provide effective visualization of Fc gamma RIIA expression in tissue samples .

ELISA and Binding Assays:

  • Direct ELISA applications for Fc gamma RIIA detection have demonstrated specificity without cross-reactivity to related receptors (Activin RIA, Activin RIB, or Activin RIIB) .

  • Surface Plasmon Resonance (SPR) assays can be conducted by capturing His-tagged Fc gamma RIIA on CM5 Chip via anti-His antibody, allowing assessment of binding to various IgG preparations .

Genotyping Assays:

  • PCR-based genotyping employs allele-specific primers:

    • H131-specific sense primer (5′-ATC CCA GAA ATT CTC CCA-3′)

    • R131-specific sense primer (5′-ATC CCA GAA ATT CTC CCG-3′)

    • Common antisense primer (5′-CAA TTT TGC TGC TAT GGG C-3′)

  • Recommended PCR conditions include initial denaturation at 95°C for 5 min, followed by 10 cycles of 95°C-1 min, 57°C-2 min, and 72°C-1 min, then 22 cycles of 95°C-1 min, 57°C-2 min, and 72°C-1 min, with final extension at 72°C-5 min .

How can researchers address interference issues when measuring antibodies in complex biological samples?

Interference issues in antibody measurement present significant challenges that can compromise research integrity. Multiple strategies can be employed to address these challenges:

1. Dual Testing Strategies:
For samples where interfering antibodies may be present, implementing a dual testing approach is effective. For example, in thyroglobulin (Tg) testing, laboratories first screen for interfering antibodies and then select the appropriate assay method:

"All specimens are initially assayed for TgAb by the highly sensitive Beckman Coulter IMA. Samples with TgAb below the detectable limit are assayed for Tg by a sensitive second-generation IMA (Beckman Coulter) with a relatively rapid turnaround time. Specimens with any measurable levels of TgAb are assayed by an RIA method... This RIA is resistant to interference by TgAb but has a longer turnaround time of five to seven days."

2. Biotin Interference Mitigation:
Biotin supplementation can significantly interfere with many immunoassays utilizing biotin-streptavidin interactions:

"It is recommended to ask all patients who may be indicated for this test about biotin supplementation."

This recommendation underscores the importance of screening for potential interference sources before sample collection or testing.

3. Cross-Reactivity Assessment:
When developing or selecting antibodies for specific targets, thorough cross-reactivity testing is essential:

"Detects human Activin RIIA in direct ELISAs and Western blots. Does not cross‐react with recombinant human (rh) Activin RIA, rhActivin RIB, or rhActivin RIIB."

4. Sample Pre-treatment:
For complex biological samples, pre-treatment procedures may be necessary to minimize matrix effects and other interferences:

"First extract and dilute your sample to be tested. Prepare the sample concentration within the measurement range."

5. Analytical Validation Using Specific Populations:
Testing assays with samples known to potentially contain interfering substances is critical for validation:

"For all assays, cross-reactivity was investigated by testing samples from patients with unspecified autoimmune diseases (n = 10 to 131). Due to challenges with available amounts of sample material, 10 samples were pooled and tested across all assays."

These methodological approaches are essential for researchers working with antibody detection in complex biological samples, particularly when studying Fc gamma RIIA antibodies in the context of autoimmune or inflammatory conditions.

What are the critical factors affecting the reliability and reproducibility of Fc gamma RIIA genotyping assays?

Genotyping Fc gamma RIIA polymorphisms requires careful attention to several critical factors to ensure reliable and reproducible results:

1. Primer Design and Specificity:
The success of Fc gamma RIIA genotyping depends significantly on primer design, with single nucleotide differences determining allele discrimination:

  • H131-specific sense primer (5′-ATC CCA GAA ATT CTC CCA-3′)

  • R131-specific sense primer (5′-ATC CCA GAA ATT CTC CCG-3′)

  • Common antisense primer (5′-CAA TTT TGC TGC TAT GGG C-3′)

Note that the only difference between the H131 and R131 primers is the final nucleotide (A vs. G), highlighting the importance of specificity in primer design and optimization of annealing temperatures.

2. PCR Optimization:
Research has shown that a two-stage PCR approach enhances sensitivity and specificity:

"The initial denaturation was carried out at 95°C for 5 min. Next 10 cycles consisted of 95°C-1 min, 57°C-2 min, and 72°C-1 min; and then to enhance the sensitivity, 22 cycles of 95°C-1 min, 57°C-2 min, and 72°C-1 min were carried out."

3. Internal Controls:
Including appropriate internal controls is essential for validating PCR efficiency:

"Human growth hormone (HGH) was used as internal control. The forward primer was HGH-1(5′-CAG TGC CTT CCC AAC CAT TCC CTT A-3′) and reverse primer was HGH-2 (5′-ATC CAC TCA CGG ATT TCT GTT GTG TTT C-3′)."

4. Validation Against Known Samples:
Comparing results with previously characterized samples or alternative methods (like sequencing) provides crucial validation:

"Normal Controls (n = 80)" with known distributions can serve as reference standards for validating the genotyping methodology .

5. Association with Functional Outcomes:
To validate the biological relevance of genotyping results, correlation with functional parameters is important:

"Table 3 gives distribution of Fc γ RIIA genotypes and SLEDAI scores in 80 SLE patients. It was observed that 28 patients (35%) had severe disease activity (SLEDAI >18), 40 patients (50%) had moderate disease activity (SLEDAI 8 to 18), and 12 patients had mild disease activity (SLEDAI <8)."

This functional correlation confirms that the genotyping results have biological significance and aren't merely technical artifacts.

By carefully addressing these methodological factors, researchers can ensure reliable and reproducible Fc gamma RIIA genotyping results that accurately reflect the biological diversity of this important immune receptor.

How are Fc gamma RIIA antibodies and receptors being utilized in the development of novel immunotherapeutics?

The strategic engineering of Fc gamma RIIA interactions is driving several innovative approaches in immunotherapeutic development:

1. Fc Engineering for Enhanced Receptor-Specific Binding:
Researchers have developed mutations in the CH2 domain of antibodies to selectively modify binding affinities to different Fc receptors:

"The investigators discovered several mutations that increased binding affinity to Fc RIIB while reducing affinity to Fc RIIA. Interestingly, one such Fc mutant displayed a 96-fold increase in binding to Fc RIIB, which led to a 25-fold increase for in vitro agonist activity compared to wild type."

These engineered antibodies demonstrated significantly improved antitumor responses in vivo, highlighting the clinical potential of Fc receptor-selective engineering.

2. Fc-Independent Receptor Clustering Strategies:
To overcome limitations related to variable Fc receptor expression in different tissues, researchers have developed innovative approaches to promote receptor clustering:

"Engineering Fc–Fc interactions has emerged as an innovative strategy toward this goal. In one important study, the investigators demonstrated that Fc mutations, T437R and K248E, facilitated hexamerization of antibody Fc regions only when bound to OX40, thereby promoting clustering of antibody-bound receptors."

This approach resulted in a 30% improvement in Fc receptor-independent agonist activity compared to natural ligands.

3. Isotype-Based Optimization:
The choice of antibody isotype significantly impacts therapeutic functionality:

"The authors identified that IgG2 isotype antibodies induced significantly improved T cell activation in Fc RIIB-knockout mice compared with IgG1, and induced agonist activity in an Fc R-independent manner."

Particularly interesting is the finding that specific isoforms within isotypes have differential activity:

"The h2B isoform of IgG2 more potently elicited cellular signaling compared with other IgG2 isoforms. This isoform involves rearrangement of two of the hinge disulfide bonds to form new disulfide bonds with CL and CH1, allowing the antibody to adopt a more compact conformation."

These advances in Fc engineering and receptor biology are creating new possibilities for more effective, targeted immunotherapeutics with improved safety profiles and efficacy.

What is the influence of psychological factors on antibody responses in vaccination and infection?

Emerging research suggests that psychological factors, particularly mood states, may significantly influence antibody responses following vaccination:

A study published in the journal Brain, Behavior, and Immunity assessed participants' mood, physical activity, diet, and sleep habits in relation to vaccination response. After six weeks of observation, researchers found that, among all factors measured, only positive mood predicted vaccine effectiveness, with good mood associated with higher levels of antibodies .

Professor Kavita Vedhara, one of the study's authors, proposes two potential mechanisms for this mood-immune system relationship:

  • "In general, people who are more positive may have healthier lifestyles, which could lead to a more robust immune system."

  • "Being in a good mood releases specific hormones that communicate with the immune system and so are able to influence how well it works."

The practical implications of this research are significant. Vedhara suggests that "if a person improves their mood on the day they are vaccinated, they could increase the effectiveness of the jab."

This finding opens new research directions for optimizing vaccination protocols, particularly in populations where immune responses might be suboptimal. The interaction between psychological states and Fc receptor-mediated immune responses represents an intriguing area for further investigation, potentially involving Fc gamma RIIA polymorphisms as a variable affecting this relationship.

How do serological assays for Fc gamma RIIA antibodies compare in sensitivity and specificity across different clinical contexts?

The performance of serological assays for antibody detection, including those targeting or influenced by Fc gamma RIIA, varies considerably based on assay design and clinical context:

Comparative Assay Performance:
A comprehensive evaluation of 16 serological assays for antibody detection revealed significant differences in sensitivity and specificity:

"Sensitivities in descending order were Wantai ELISA total Ab (96.7%), CUH-NOVO in-house ELISA total Ab (96.0%), Ortho Vitros total Ab (95.3%), YHLO iFlash IgG (94.0%), Ortho Vitros IgG (93.3%), Siemens Atellica total Ab (93.2%), Roche Elecsys total Ab (92.7%), Abbott Architect IgG (90.0%), Abbott Alinity IgG (median 88.0%), DiaSorin Liaison XL IgG (median 84.6%), Siemens Vista total Ab (81.0%), Euroimmun/ELISA IgG (78.0%), and Snibe Maglumi IgG (median 78.0%)."

This data demonstrates that total antibody assays generally outperform IgG-specific assays in sensitivity, which has important implications for assay selection in different clinical contexts.

Specificity Considerations:
"A specificity of ≥99% was achieved by all total-Ab and IgG assays except one, DiaSorin Liaison XL IgG (97.2%)."

High specificity is particularly crucial in low-prevalence settings to minimize false positive results.

Impact of Disease Progression and Severity:
The sensitivity of antibody detection assays is significantly influenced by the time from symptom onset and disease severity:

"The rate of seropositivity increased with time from symptom onset and symptom severity."

This finding indicates that the timing of sample collection relative to disease onset is a critical factor in assay performance evaluation.

Cross-Reactivity Assessment:
Thorough evaluation of potential cross-reactivity is essential for accurate interpretation of serological results:

"For all assays, cross-reactivity was investigated by testing samples from patients with unspecified autoimmune diseases (n = 10 to 131). Additionally, for all assays, archived local samples from patients with acute infections of cytomegalovirus (CMV) or Epstein-Barr virus (EBV) or other acute viral respiratory infections were tested."

This methodical approach to cross-reactivity testing is crucial for distinguishing between true and false positive results in serological assays, particularly in populations with high prevalence of autoimmune or infectious conditions.

What are the best practices for implementing skin tests and in vitro assays in allergic condition diagnosis?

The diagnosis of allergic conditions requires a systematic approach combining both in vivo and in vitro testing methods, with careful consideration of potential interferences and limitations:

Skin Testing as First-Line Approach:
"Skin prick testing (SPT) is the most frequently used method for the detection of IgE antibodies, due to its rapidity, simplicity and low cost."

"Skin tests should include the relevant allergens in the given geographical area and ideally carried out only using standardized allergenic extracts."

Integration with In Vitro Testing:
A comprehensive diagnostic approach often requires complementary in vitro testing:

"In vitro tests, including molecular based allergy diagnostics, using either in single-plex and in multi-plexed strategies and other more functional tests, such as Basophil Activation Tests allow to better define the IgE profile of the patient."

The primary in vitro options include:

  • "The total IgE assay which is nonspecific and provides only gross information."

  • "Serum specific IgE assays against allergen sources/molecules are the most commonly used in vitro diagnostic approach. They can be performed by a singleplexed or multiplexed strategy."

  • "The Basophil Activation Test (BAT) which is quite specific, but complex to perform, and therefore limited to selected situations."

Clinical Indications for Testing:
Testing should be guided by clear clinical indications:

"The diagnosis of allergy requires an appropriate medical history and physical examination. If the clinical information suggests type I (immediate-type) allergy, SPTs are indicated to detect the presence of specific IgE to relevant causative allergens."

Specific conditions warranting testing include:

  • Asthma

  • Rhinitis/rhinosinusitis/rhino-conjunctivitis/conjunctivitis

  • Eczema/atopic dermatitis (selective cases)

  • Suspected food allergy

  • Other acute allergic presentations

Medication Interference Considerations:
"Before testing, the clinician should verify that the patient has not been taking medications that might interfere with testing."

This critical factor highlights the importance of careful patient preparation and history-taking before diagnostic testing to minimize false negative results due to medication effects.

By integrating these best practices, clinicians can optimize the diagnostic approach to allergic conditions, ensuring accurate identification of relevant allergens while minimizing false results due to technical or methodological factors.

What are the key unresolved questions in Fc gamma RIIA antibody research?

Several significant research questions remain unresolved in the field of Fc gamma RIIA antibody research:

  • Population-Specific Polymorphism Effects: While some studies have identified associations between Fc gamma RIIA polymorphisms and disease susceptibility in specific populations (e.g., Indian SLE patients), the consistency of these associations across different ethnic groups remains to be fully elucidated. The first report on Indian SLE patients "supports the hypothesis that Fc γ RIIA R131 variant over expression may constitute a susceptibility factor for development of severe SLE manifestations in LN patients" , but broader cross-population studies are needed.

  • Temporal Dynamics of Receptor Interactions: The kinetics of Fc gamma RIIA interactions with antibodies in different physiological and pathological contexts remains incompletely understood. Current research indicates that "natural ligand-induced cellular signal transduction is tightly regulated and often short-lived," but the precise temporal dynamics of these interactions in vivo require further investigation .

  • Optimized Engineering Strategies: While progress has been made in engineering antibodies with modified Fc gamma RIIA binding properties, the optimal combination of modifications for specific therapeutic applications remains unclear. Research shows promise in "engineering Fc–Fc interactions" and developing antibodies that "facilitated hexamerization of antibody Fc regions" , but the translation of these approaches to clinical applications requires further refinement.

  • Psychological-Immunological Interactions: The mechanisms through which psychological factors influence antibody responses, potentially involving Fc gamma RIIA-mediated pathways, represent an emerging area requiring further investigation. Initial findings suggest that "being in a good mood releases specific hormones that communicate with the immune system" , but the molecular details of these pathways remain to be elucidated.

  • Standardization of Assay Methodologies: Despite advances in various assay technologies, standardization remains challenging, with different laboratories employing diverse methodologies leading to potential variability in results. Studies highlight "the variability of the technical methodology" in diagnostic testing , indicating the need for greater standardization efforts.

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