VHS3 Antibody

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Description

Antibodies Targeting VHSV Glycoprotein

Research identifies monoclonal antibodies (MAbs) against VHSV glycoproteins, including 3F1H10 and 3F1A2, which exhibit distinct neutralization profiles and binding kinetics . These antibodies share structural similarities but differ in critical residues affecting antigen interaction:

Key Features of Anti-VHSV Antibodies

Property3F1H103F1A2
Neutralization CapacityNarrow specificity for VHSV isolatesBroad specificity across isolates
Dissociation ConstantHigher kdk_d (weaker binding)Lower kdk_d (stronger binding)
Variable Domain MutationsVH: Ser35a, Val94VH: Thr35a, Ile94

A single mutation at VH position 35a (Ser→Thr) significantly enhances neutralization efficacy by stabilizing antigen interactions . Both MAbs utilize VH3 germline genes, with CDR-H3 loops adopting extended conformations to penetrate recessed epitopes on the viral glycoprotein .

CDR-H3 Conformational Clusters in VHH Antibodies

Cluster TypeCDR-H3 ConformationGermline OriginAntigen-Binding Mechanism
KinkedFolded onto FWR2IGHV3-3Utilizes FWR2-CDR-H3 hydrophobic core
ExtendedSolvent-exposedIGHV3S53Relies on CDR-H3 flexibility and FWR2 interactions

VHH antibodies with extended CDR-H3 loops dominate antigen binding (>72% contact with FWR2) , a feature potentially exploitable in designing antibodies against complex viral epitopes.

Mechanistic Implications for Antibody Engineering

  • Extended CDR-H3 Loops: Enable access to conserved, recessed epitopes (e.g., enzymatic pockets) .

  • Germline Influence: VH germline selection (e.g., IGHV3-3 vs. IGHV3S53) dictates CDR-H3 conformation and antigen-binding strategy .

  • Kinetic Optimization: Lower kdk_d values correlate with enhanced neutralization, as seen in 3F1A2’s superior performance .

Unresolved Questions and Limitations

  • No studies explicitly describe an antibody named "VHS3." The term may refer to a non-standardized designation or hypothetical construct.

  • Anti-VHSV antibodies like 3F1H10/3F1A2 are not glycosylated, limiting their utility in Fc-mediated effector functions .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
VHS3 antibody; YOR054C antibody; YOR29-05 antibody; Phosphopantothenoylcysteine decarboxylase subunit VHS3 antibody; Viable in a HAL3 SIT4 background protein 3 antibody
Target Names
VHS3
Uniprot No.

Target Background

Function
VHS3 Antibody is a component of the phosphopantothenoylcysteine decarboxylase (PPCDC) enzyme, which plays a crucial role in coenzyme A synthesis. It acts as an inhibitory subunit of protein phosphatase PPZ1, a protein involved in various cellular processes including the G1-S transition and salt tolerance.
Database Links

KEGG: sce:YOR054C

STRING: 4932.YOR054C

Protein Families
HFCD (homooligomeric flavin containing Cys decarboxylase) superfamily

Q&A

What is VHSV and why are antibodies against it significant in research?

VHSV (Viral Haemorrhagic Septicaemia Virus), also known as Egtved virus, is a significant fish pathogen. Antibodies against VHSV are valuable research tools for understanding viral pathogenesis, developing diagnostic assays, and investigating potential therapeutic approaches. Research has identified several monoclonal antibodies that bind to the VHSV glycoprotein (G protein), with some capable of neutralizing viral infection while others serve as non-neutralizing diagnostic reagents .

What are the major differences between neutralizing and non-neutralizing antibodies targeting VHSV?

Research has identified critical functional differences between these antibody types. Non-neutralizing antibodies like IP1H3 recognize different virus isolates equally well in ELISA but cannot prevent infection. In contrast, neutralizing antibodies such as 3F1H10 and 3F1A2 block viral infectivity, though with varying capacities across different VHSV isolates. Surface plasmon resonance analyses reveal that neutralization capability correlates with binding kinetics, particularly the dissociation rate constant (kd), which helps explain the mechanistic basis for these functional differences .

How do variable domain sequences correlate with antibody function in anti-VHSV research?

Sequence analysis has revealed remarkable correlations between variable domain composition and function. The two neutralizing antibodies (3F1H10 and 3F1A2) share high sequence homology (97% identity in VH domains with just three amino acid differences, and only one residue difference in VL domains), despite showing different neutralization breadth. In contrast, the non-neutralizing antibody IP1H3 shares only 38-39% identity with the VH domains of the neutralizing antibodies and 49-50% identity with their VL domains. This striking divergence suggests specific structural features dictate neutralization capability .

How are monoclonal antibodies against VHSV generated and characterized?

The generation and characterization of anti-VHSV monoclonal antibodies involves several methodological steps:

  • Immunization strategies using purified viral antigens

  • Hybridoma technology to isolate antibody-producing cells

  • Screening using ELISA against viral glycoprotein

  • Functional characterization through neutralization assays

  • Sequence analysis of variable domain genes using PCR amplification and DNA sequencing

  • Binding kinetics assessment using surface plasmon resonance (BIAcore)

  • Cross-reactivity testing with different viral isolates to assess binding breadth

These methods have successfully yielded well-characterized antibodies with distinct functional properties against VHSV .

What techniques are employed to measure antibody binding kinetics to viral antigens?

Surface plasmon resonance (SPR) using BIAcore technology has proven invaluable for determining precise binding parameters of anti-VHSV antibodies. This technique enables quantification of:

Research has demonstrated that these kinetic parameters, particularly the dissociation rate constant, correlate directly with neutralization capacity against VHSV. SPR analysis provides mechanistic insights that complement functional assays, offering a more complete understanding of antibody-antigen interactions .

How can researchers produce and evaluate antibody fragments for studying epitope-specific interactions?

Researchers have developed several approaches to generate antibody fragments for detailed epitope mapping:

  • Enzymatic digestion to produce Fab fragments from intact monoclonal antibodies

  • Recombinant bacterial expression of single-chain antibody (scAb) fragments

  • Site-directed mutagenesis to create variants with specific amino acid substitutions

  • Functional testing through neutralization assays with VHSV isolates

  • Comparative binding analysis against the parent antibody

These methods enable precise dissection of structure-function relationships, as demonstrated by studies identifying position 35a in the VH domain as critical for neutralization .

How do specific amino acid substitutions in antibody variable domains influence neutralization capacity?

Detailed molecular analysis has revealed the profound impact of specific amino acid positions on neutralization capacity. Research focusing on two highly homologous neutralizing antibodies (3F1H10 and 3F1A2) identified that despite only four residue differences, they exhibit different neutralization breadth. Through systematic mutagenesis creating scAb fragments with individual or combined substitutions, researchers identified a single mutation at position 35a in the VH domain as having the most significant impact on viral neutralization. This finding demonstrates how minor sequence variations can dramatically alter functional properties through subtle conformational changes affecting the antibody-antigen interface .

What evidence exists for clonal relatedness among anti-VHSV antibodies with similar functions?

Sequence analysis provides compelling evidence for evolutionary relationships between functionally similar antibodies. The neutralizing antibodies 3F1H10 and 3F1A2 show remarkably high nucleotide sequence homology in their variable domain genes, suggesting they originated from the same naïve B lymphocyte. The limited differences observed likely arose through somatic hypermutation during affinity maturation. This clonal relatedness offers insights into how the immune system generates diverse antibody responses against viral pathogens through molecular diversification mechanisms .

How can computational approaches enhance understanding of antibody-antigen interactions?

Computer-assisted molecular analysis has proven valuable for predicting the theoretical influence of specific mutations on antigen binding. When combined with experimental data from binding kinetics and neutralization assays, these computational approaches enable researchers to:

  • Model the three-dimensional structure of antibody-antigen complexes

  • Predict the energetic contributions of specific residues to binding

  • Identify potential sites for targeted mutagenesis

  • Rationalize experimental observations regarding neutralization capacity

This integrated computational-experimental approach led to the identification of position 35a in the VH domain as a critical determinant of neutralization capacity .

What statistical methods are appropriate for analyzing antibody population distributions?

Finite mixture models provide a robust statistical framework for analyzing antibody data. These models operate under the assumption that antibody distributions comprise distinct latent populations, each representing different antibody states or exposure levels to antigens. The complexity of these models varies depending on the number of components and mixing distributions used:

  • Two-component models differentiate between seronegative and seropositive individuals

  • Multi-component models capture more complex population structures

  • Various distribution families (normal, skewed, etc.) can be employed depending on data characteristics

This statistical approach enables more nuanced interpretation of serological data beyond simple positive/negative classifications .

How are ELISA results interpreted in antibody research using statistical approaches?

ELISA results for antibody quantification typically yield optical density values that are converted to antibody concentration units (U/ml). Statistical interpretation requires establishing appropriate cutoff values to classify samples:

Antibody TypeSeronegativeEquivocalSeropositive
Most antibodies≤8 U/ml8-12 U/ml≥12 U/ml
HHV-6 specific≤10.5 U/ml10.5-12.5 U/ml≥12.5 U/ml

Advanced statistical approaches using finite mixture models can overcome limitations of these fixed thresholds by modeling the underlying population structure directly from the data, providing more accurate classification particularly for samples in the equivocal range .

How are high-throughput antibody repertoire sequencing data analyzed?

Modern high-throughput sequencing technologies enable comprehensive analysis of antibody repertoires, including paired heavy-light chain sequences. Analysis of these complex datasets involves:

  • Quality filtering of raw sequence data

  • V(D)J gene assignment using reference databases

  • CDR3 identification and clustering

  • Clonality assessment and lineage reconstruction

  • Statistical analysis of gene usage patterns

  • Identification of shared (public) antibody sequences across individuals

This approach has revealed important immunological insights, including the frequency and pairing propensity of shared VL genes and the detection of phenomena like allelic inclusion in healthy individuals .

How can techniques developed for VHSV antibody research inform broader viral neutralization studies?

Methodologies developed for studying anti-VHSV antibodies provide valuable templates for investigating neutralizing antibodies against other viruses. For example, similar approaches have been applied to SARS-CoV-2 research, where high-throughput antibody isolation pipelines identified potent neutralizing antibodies from convalescent donors. The systematic characterization of binding properties, epitope mapping, and neutralization capacity follows similar principles across viral systems, demonstrating the translational value of fundamental antibody research techniques .

What in vivo models are available for testing antibody neutralization efficacy?

Animal models are essential for validating in vitro neutralization findings. While the VHSV research primarily uses fish models, similar principles apply across systems. For SARS-CoV-2, Syrian hamsters have proven valuable for evaluating neutralizing antibody efficacy:

  • Pre-treatment with antibodies before viral challenge

  • Daily weight monitoring as a disease indicator

  • Tissue collection to measure viral load

  • Dose-response evaluation to determine minimum protective concentrations

These approaches revealed that potent neutralizing antibodies can prevent weight loss and reduce viral loads in infected animals, providing translational evidence for therapeutic potential .

How do researchers correlate in vitro binding parameters with in vivo protection?

Establishing correlations between measurable in vitro parameters and in vivo protection represents a critical challenge in antibody research. Studies have demonstrated that:

  • Neutralization potency in cell culture often correlates with protective capacity in vivo

  • Binding kinetics, particularly slow dissociation rates, predict neutralization effectiveness

  • Epitope specificity significantly influences protective capacity

  • Antibody concentration exhibits dose-dependent protection with defined thresholds

For example, SARS-CoV-2 research demonstrated dose-dependent protection with complete protection at higher antibody concentrations (16.5 mg/kg and 4.2 mg/kg) and partial protection at lower doses (0.9 mg/kg), establishing clear correlations between antibody dose and therapeutic efficacy .

How might next-generation sequencing technologies enhance antibody discovery against viral pathogens?

Ultra-high throughput sequencing of paired antibody repertoires offers transformative potential for antibody discovery. These technologies can:

  • Sequence >2 × 10^6 B cells per experiment with >97% pairing precision

  • Identify rare antibody sequences with desired properties

  • Discover shared (public) antibody responses across individuals

  • Detect phenomena like allelic inclusion that may influence immune function

  • Identify antibodies with structural features similar to known broadly neutralizing antibodies

These capabilities enable more comprehensive mining of immune repertoires to identify candidate antibodies with desired specificities and functions .

What emerging technologies might improve antibody engineering for enhanced neutralization?

Several cutting-edge approaches show promise for rational antibody engineering:

  • Structure-guided design based on high-resolution antibody-antigen complexes

  • Computational modeling to predict the impact of specific mutations

  • Directed evolution approaches to optimize binding and neutralization

  • Single-domain antibody formats for improved tissue penetration

  • Antibody-based multi-specific molecules targeting multiple viral epitopes

The successful engineering of scAb fragments with enhanced neutralization through targeted mutations demonstrates the feasibility of rational design approaches for improving antibody function .

How might antibody research against fish viruses inform broader pandemic preparedness?

Fundamental antibody research against viruses like VHSV establishes important principles that transcend specific pathogens:

  • Methods for isolating and characterizing neutralizing antibodies

  • Understanding structure-function relationships in antibody-mediated neutralization

  • Approaches for engineering enhanced neutralization capacity

  • Statistical frameworks for analyzing antibody populations

  • Correlating in vitro properties with in vivo protection

These principles have direct relevance to pandemic preparedness, as demonstrated by the rapid application of similar approaches to emerging threats like SARS-CoV-2 .

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