VP1 Antibody, Biotin conjugated

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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 your order within 1-3 business days of receipt. Delivery times may vary depending on the shipping method and destination. For specific delivery information, please contact your local distributor.
Synonyms
VP1Capsid protein antibody; CA1 antibody; Coat protein antibody
Target Names
VP1
Uniprot No.

Target Background

Function
VP1 self-assembles to form the virion icosahedral capsid with T=1 symmetry. This very small capsid (25 nm in diameter) contributes to the virus's high stability in the environment and resistance to certain disinfectants, including detergents. VP1 is essential for the initial attachment to host receptors. Following attachment, the virus is endocytosed and transported to the nucleus. The capsid protein binds and transports the viral genome and Rep across the nuclear envelope.
Database Links

KEGG: vg:1494446

Protein Families
Gyrovirus capsid protein family
Subcellular Location
Host nucleus. Virion.

Q&A

What is VP1 and why are VP1 antibodies critical in viral research?

VP1 (Viral Protein 1) is a major capsid protein found in various viruses, including polyomaviruses such as JC polyomavirus (JCPyV) and adeno-associated viruses (AAVs). This protein forms the exterior structure of viral capsids and contains critical domains for host receptor binding and immune recognition. VP1 antibodies are valuable for detecting viral particles, studying capsid structure, examining host immune responses, and developing potential therapeutics.

The structure of JCPyV VP1 features three exterior loops at the outer surface of the viral capsid, which are accessible epitopes for antibodies. These loops are involved in host receptor binding, making them particularly important for understanding viral tropism and pathogenicity .

What advantages does biotin conjugation provide for VP1 antibody applications?

Biotin conjugation involves covalently attaching biotin molecules to antibodies, creating a detection system with multiple advantages:

  • Enhanced sensitivity through signal amplification when paired with avidin/streptavidin

  • Versatility across multiple detection platforms

  • Stability in various buffer conditions

  • Compatibility with multiplexing approaches

For example, in ELISA applications, biotin-conjugated anti-human Fc antibodies can be used with horseradish peroxidase (HRP)-conjugated avidin to detect human IgG with high sensitivity . This approach allows for precise quantification of antibody responses against viral proteins in both serum and cerebrospinal fluid samples.

How should researchers select appropriate VP1 antibody characteristics for specific applications?

Selection criteria should be based on the following parameters:

ParameterConsiderationsExample from Literature
Antibody TypeMonoclonal provides consistent specificityMouse monoclonal (ADK9)
Host SpeciesCompatibility with experimental systemsMouse for detection applications
IsotypeAffects functionality and detection methodsIgA kappa
ConjugationDetection system requirementsBiotin for ELISA applications
SpecificityTarget specificity and cross-reactivityReactivity to AAV9 but not to AAV1-8, AAV11-12, etc.
PurificationPurity requirementsAffinity chromatography

Researchers should consider that antibody characteristics directly impact experimental outcomes. For instance, the anti-AAV9 mouse monoclonal antibody (ADK9) demonstrates specificity for AAV9 intact particles with no cross-reactivity to other AAV serotypes, making it suitable for selective detection of AAV9 in complex samples .

How can researchers optimize ELISA protocols using biotin-conjugated VP1 antibodies?

ELISA optimization requires careful consideration of multiple parameters:

  • Antigen coating: For optimal results, coat microplates with 100 ng of VP1 variant pentamer per well overnight at 4°C

  • Blocking optimization: Use casein-based blocking solution containing 1 mM CaCl₂ at 37°C to minimize background

  • Sample dilution strategy:

    • Serum: 1:404 and 1:2020 dilutions

    • CSF: 1:2, 1:10, 1:100, and/or 1:1000 dilutions

    • Antibody solutions: 100 pM, 1 nM, and 10 nM dilutions

  • Detection system: Use biotin-conjugated anti-human Fc antibody with HRP-conjugated avidin

  • Substrate selection: Trimethylboron single solution as a colorimetric substrate for HRP

  • Quantification approach: Develop standard curves from serial dilutions of standard serum for interpolating optical densities using four-parameter logistic curve fitting

This methodology enables quantitative assessment of antibody reactivity in arbitrary units (AUs) with high precision and reproducibility.

What strategies are effective for evaluating cross-reactivity of VP1 antibodies against variant viral strains?

Cross-reactivity assessment is crucial for understanding antibody functionality against viral variants:

  • Comparative binding assays: Test antibody binding to multiple VP1 variants using ELISA, comparing responses to a reference strain (e.g., MAD1)

  • Mutation impact analysis: Evaluate how specific mutations affect binding. For example, research has shown that mutations from aliphatic to aromatic amino acids (L55F) or from small polar to large aromatic residues (S267F, S269F) in VP1 exterior loops significantly impact antibody recognition

  • Epitope mapping: Competition experiments can determine whether antibodies target shared or independent binding regions. In one study, competition testing revealed that broadly neutralizing antibodies (27C11, 47B11, 26A3, 50H4, 98H1) targeted the same binding pocket on JCPyV VP1, while non-neutralizing antibodies bound distinct epitopes

  • Flow cytometry with transfected variants: Complementary approaches using pCAG-JCPyV-transfected cells combined with intracellular staining and flow cytometry can validate binding to additional VP1 variants with mutations located within exterior loops (e.g., VP1 N74S, VP1 R75K, VP1 T117S)

Research demonstrates that mutations in VP1, particularly S267F, can affect immunodominant epitopes targeted by a large fraction of the VP1-specific antibody repertoire, resulting in dramatically reduced antibody recognition .

What methodologies enable accurate assessment of neutralization capacity for VP1 antibodies?

Neutralization assessment is critical for therapeutic development and understanding protective immunity:

  • Standardized neutralization assays: Quantify the ability of antibodies to prevent viral infection, reporting EC50 values (e.g., ~2 ng/ml for anti-AAV9)

  • Comparative variant neutralization: Test neutralization efficacy against multiple viral variants to identify broadly neutralizing antibodies

  • Structure-function correlation: Analyze how antibody binding to specific VP1 regions correlates with neutralization capacity. Research shows that antibodies targeting exterior loops of VP1 often demonstrate stronger neutralization potential

  • Clonal analysis: Identify evolutionary convergent antibodies from different B cell clones that show similar neutralization profiles. For example, antibodies 98H1, 50H4, and 27C11 represent promising candidates for broadly neutralizing therapeutics against JCPyV

The neutralization capacity of monoclonal antibodies frequently correlates with their recognition of VP1 variants, with non-neutralizing antibodies often binding to epitopes outside mutation-associated exterior loops .

How do mutations in VP1 affect antibody recognition patterns in different patient populations?

Research reveals complex patterns of antibody recognition affected by VP1 mutations:

  • Differential recognition in patient groups: Studies show varied serum antibody responses against VP1 variants between healthy donors, JCPyV-seropositive MS patients, NAT-PML patients, and NAT-PML-IRIS patients

  • Mutation-specific effects: The S267F mutation particularly affects an immunodominant epitope recognized by many antibodies across patient groups

  • Individual variation: Recognition patterns of individual patients range from robust responses against all variants to selective recognition of some variants but poor recognition of others

  • Immune reconstitution effects: Intrathecal and serum antibody responses against VP1 variants can increase significantly during immune reconstitution (e.g., in NAT-PML-IRIS patients), indicating dynamic changes in the antibody repertoire

This patient-to-patient variability in antibody recognition highlights the importance of personalized approaches when considering therapeutic interventions or monitoring disease progression.

What techniques are employed to evaluate intrathecal antibody production against VP1 variants?

Assessment of intrathecal (within the central nervous system) antibody production requires specialized techniques:

  • CSF/serum antibody index calculation: The JCPyV-specific CSF/serum antibody index (CAI JCPyV) is calculated according to Reiber's method

  • Threshold determination: A CAI JCPyV value >1.5 indicates intrathecal antibody production against JCPyV VP1

  • Variant-specific assessment: Comparing intrathecal antibody production against different VP1 variants can reveal compartmentalized immune responses against particular viral mutants

  • Longitudinal monitoring: Following intrathecal antibody responses over time can track disease progression and immune reconstitution. For example, research found that intrathecal antibody responses against all VP1 proteins increased 10-fold or more during NAT-PML-IRIS in seven of eight patients

These techniques are crucial for understanding the compartmentalized immune response in the CNS during viral infections and for monitoring therapeutic efficacy.

What approaches enable effective cloning and characterization of human-derived VP1 antibodies?

The development of human-derived monoclonal antibodies against VP1 involves sophisticated methodologies:

  • Memory B cell isolation: Purification from peripheral blood lymphocyte preparations

  • Screening methods: Testing for binding to JCPyV VP1 VLPs using microplates coated with VP1 (1 μg/ml) in reassociation buffer

  • Molecular cloning: Cloning the immunoglobulin heavy and light chain variable regions from selected B cells

  • Genetic characterization: Analysis of antibody gene usage, as exemplified in the following table adapted from research on NAT-PML-IRIS patient-derived monoclonal antibodies:

Monoclonal AntibodyVH GeneDH GeneJH GeneCDR3 LengthAmino Acid Mutations
98D33-30*145-5*014-1*021613/96
27C114-4*021-14*016-1*02205/96
50H44-4*021-14*016-1*02206/96
98H14-31*033-22*016-1*022111/97
72F73-48*033-3*016-1*02215/96
  • Functional characterization: Testing antibodies for binding affinity, specificity, and neutralization capacity against multiple VP1 variants

This comprehensive approach enabled researchers to identify evolutionarily convergent antibodies (98H1, 50H4, and 27C11) with promising therapeutic potential against JCPyV .

How can researchers leverage VP1 antibodies for developing passive immunotherapies against viral diseases?

Research on broadly neutralizing human monoclonal antibodies against JCPyV VP1 demonstrates the potential for passive immunotherapy development:

  • Candidate identification: Screening antibodies for high affinity, potent neutralization, and broad recognition of VP1 variants

  • Antibody engineering: Optimizing antibody properties such as half-life, tissue penetration, and effector functions

  • Combination approaches: Developing cocktails of antibodies targeting different epitopes to minimize escape mutant emergence

  • Blood-brain barrier considerations: For CNS viral infections like PML, strategies must address antibody delivery across the blood-brain barrier

The identification of evolutionarily convergent antibodies that efficiently recognize multiple VP1 variants provides promising candidates for therapeutic development .

What are the implications of VP1 antibody research for understanding viral evolution and immune evasion?

VP1 antibody research reveals important insights into viral evolution:

  • Mutation patterns: Common PML-associated mutations (L55F, S267F, S269F) occur in exterior loops involved in host receptor binding, suggesting selective pressure at these sites

  • Immune evasion mechanisms: Mutations that reduce antibody recognition while maintaining receptor binding represent viral immune escape strategies

  • Differential recognition: The observation that different patient populations show varied antibody responses to VP1 variants suggests co-evolution of viral strains with host immunity

  • Antibody repertoire evolution: Research demonstrates that during immune reconstitution, patients develop broader antibody responses against VP1 variants, indicating dynamic adaptation of the immune system

Understanding these patterns helps predict viral evolution and design broader therapeutic strategies.

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