vif Antibody

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Description

Introduction to HIV-1 Vif Protein and the Rationale for Targeting with Antibodies

The viral infectivity factor (Vif) encoded by HIV-1 enables viral replication by degrading A3G, a cytidine deaminase that hypermutates viral DNA . In nonpermissive cells, Vif-deficient virions are noninfectious due to A3G incorporation, whereas Vif counteracts this restriction by recruiting E3 ubiquitin ligases to degrade A3G . This dependency makes Vif a high-priority target for antibody-based therapies aimed at disrupting its function.

Intracellular Single-Chain Antibodies (Intrabodies)

A groundbreaking approach involves engineering single-chain intrabodies that bind Vif in the cytoplasm. One such intrabody neutralizes Vif by:

  • Blocking its interaction with A3G

  • Preventing Vif-mediated proteasomal degradation of A3G

  • Reducing viral infectivity by 90% in T-cell lines

Peptide-Based Inhibitors

Designed Vif-derived peptides (e.g., VMP-63 and VMP-108) disrupt Vif-CBFβ interactions critical for A3G degradation:

PeptideTarget InteractionIC₅₀ (μM)Mechanism
VMP-63Vif-CBFβ binding49.4Blocks A3G degradation, enhances virion incorporation
VMP-108Vif zinc finger domain55.1Competes with CBFβ, stabilizes A3G

These peptides reduce HIV-1 infectivity without cytotoxicity .

Functional Neutralization

  • Intrabodies render HIV-1 virions noninfectious by preserving A3G activity in producer cells .

  • Vif-targeting peptides restore A3G levels by 2.5- to 3-fold, reducing viral replication by >70% .

Limitations

  • Viral resistance due to Vif's high genetic variability .

  • Moderate potency of first-generation peptides (IC₅₀ ~50 μM) .

Innovative Strategies

  • Multitarget inhibitors: Combining Vif antibodies with small molecules (e.g., RN-18) to enhance A3G packaging .

  • Structure-guided optimization: Leveraging Vif-A3G interaction hotspots (e.g., RNA-binding surfaces) for antibody engineering .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
vif antibody; Virion infectivity factor antibody; Vif antibody; SOR protein) [Cleaved into: p17; p7] antibody
Target Names
vif
Uniprot No.

Target Background

Function
Vif antibody counteracts the innate antiviral activity of host APOBEC3F and APOBEC3G. It forms a complex with host APOBEC3F and APOBEC3G, preventing the entry of these lethally hypermutating enzymes into progeny virions. Vif antibody recruits an active E3 ubiquitin ligase complex composed of elongin BC, CUL5, and RBX2 to induce polyubiquitination of APOBEC3G and APOBEC3F. Subsequently, they are directed to the 26S proteasome for degradation. Vif interaction with APOBEC3G also blocks its cytidine deaminase activity in a proteasome-independent manner, suggesting a dual inhibitory mechanism. It may interact directly with APOBEC3G mRNA to inhibit its translation. Vif appears to play a role in viral morphology by affecting the stability of the viral nucleoprotein core. Finally, Vif also contributes to the G2 cell cycle arrest observed in HIV infected cells.
Protein Families
Primate lentivirus group Vif protein family
Subcellular Location
Host cytoplasm. Host cell membrane; Peripheral membrane protein; Cytoplasmic side. Virion.

Q&A

What is HIV-1 Vif and why is it significant in HIV research?

HIV-1 Viral Infectivity Factor (Vif) is a crucial accessory protein with a molecular weight of approximately 23 kDa that plays an essential role in viral replication, particularly in non-permissive cells like lymphocytes and macrophages. Vif's primary function is to counteract the host cellular antiviral protein APOBEC3G, which would otherwise induce hypermutations in viral DNA and inhibit viral replication .

Vif achieves this by recruiting a Cullin5-ElonginB/C-CBFβ E3 ubiquitin ligase complex that targets APOBEC3 family proteins for ubiquitination and subsequent proteasomal degradation . This prevents APOBEC3G from being incorporated into new virions, thereby allowing effective viral replication. Additionally, Vif suppresses type I interferon production by targeting immune signaling molecules, further aiding in immune evasion .

How do researchers distinguish between permissive and non-permissive cells in Vif studies?

In HIV-1 research, cells are categorized as either "permissive" or "non-permissive" based on their requirement for Vif during viral replication:

Cell TypeAPOBEC3G ExpressionVif RequirementExamplesExperimental Use
Non-permissiveHighRequiredH9, CEM, U38, primary lymphocytesTesting Vif inhibitors, studying natural HIV restriction
PermissiveLow/NoneNot requiredMT4, CEM-SS, HeLaControl experiments, producing Vif-deficient virus

Researchers can verify the permissive/non-permissive status experimentally by comparing replication of wild-type and Vif-deficient (Δvif) HIV-1. In non-permissive cells, Δvif viruses show significantly reduced infectivity, while in permissive cells, both viruses replicate with similar efficiency . This distinction is critical when designing experiments to test potential Vif inhibitors, as efficacy should be observed only in non-permissive cells .

What methodologies are available for detecting Vif protein expression?

Several methodological approaches are available for detecting and quantifying Vif protein:

  • Immunoblotting (Western Blot): Using monoclonal antibodies like clone 319 that specifically recognize HIV-1 Vif. This method allows quantification of total Vif protein levels in cell lysates .

  • Fluorescence Microscopy: Using fluorescently-labeled antibodies or Vif fused with fluorescent proteins (e.g., YFP-tagged A3G co-expressed with Vif) to visualize cellular localization and expression levels .

  • Flow Cytometry: Particularly useful for high-throughput screening applications, as demonstrated in studies using fluorescence-labeled A3G to monitor Vif-mediated downregulation .

  • ELISA-based methods: For quantitative measurement of Vif protein concentrations in complex biological samples.

When selecting a detection method, researchers should consider factors such as sensitivity requirements, need for spatial information, and compatibility with their experimental system.

How can researchers develop and validate intracellular antibodies (intrabodies) against Vif?

Developing effective intrabodies against Vif involves several methodological considerations:

  • Antibody Fragment Selection: Single-chain variable fragments (scFv) are typically used due to their smaller size and ability to fold correctly in the cytoplasm. These can be derived from existing monoclonal antibodies or phage display libraries .

  • Expression System Design: Intrabodies must be expressed in the same cellular compartment as Vif (cytoplasm). This requires proper vector design with appropriate promoters and signal sequences .

  • Validation Protocol:

    • Binding specificity: Confirm specific binding to Vif using co-immunoprecipitation or FRET assays

    • Functional neutralization: Test the intrabody's ability to prevent Vif-mediated degradation of APOBEC3G

    • Cell-type specificity: Verify activity in non-permissive cells (H9, CEM) but not in permissive cells

    • Viral challenge: Assess protection against multiple HIV-1 strains, including lab-adapted and primary isolates

Research has demonstrated that Vif-specific intrabodies can efficiently bind Vif protein and neutralize its infectivity-enhancing function, making cells highly resistant to HIV-1 infection. When expressed in donor cells, these intrabodies produce viral particles that cannot complete reverse transcription in recipient cells .

What computational approaches facilitate antibody development against Vif?

Computational methods significantly enhance antibody development against Vif:

  • Homology Modeling: Tools like PIGS server and AbPredict can generate 3D structural models of antibody variable fragments (Fv) based on VH/VL sequences .

  • Molecular Dynamics Simulations: Essential for refining antibody models and predicting interactions with Vif epitopes. This approach involves:

    • Sampling large conformational spaces

    • Generating multiple low-energy homology models

    • Combining segments from various antibodies

  • Binding Site Prediction: Computational analysis of the Vif-CBFβ interface (>4000 Ų) helps identify potential antibody binding sites .

  • Virtual Screening: In silico methods to screen for antibody candidates with optimal binding properties.

When applying these approaches, researchers should note that PPIs with buried surface areas larger than 2000 Ų (like Vif-CBFβ) are generally more effectively inhibited by peptides or antibodies rather than small molecules .

How does yeast surface display technology facilitate the development of high-affinity anti-Vif agents?

Yeast surface display is an effective methodology for screening inhibitors targeting protein-protein interactions, with particular advantages for Vif research:

  • Library Construction Process:

    • Create Vif mutant libraries with varying mutation frequencies (e.g., 3.5‰, 4.6‰, 5.8‰)

    • Transform libraries into Saccharomyces cerevisiae strain EBY100

    • Ensure adequate plasmid pool capacity (>2 × 10⁵)

  • Screening Protocol:

    • Culture and induce yeast cells to express Vif mutants

    • Incubate with CBFβ protein

    • Label with CBFβ monoclonal antibody and FITC-labeled secondary antibody

    • Sort CBFβ-positive cells with higher FITC intensity using flow cytometry

    • Collect top 0.01% of positive cells for sequence analysis

  • Peptide Design Strategy:

    • Identify high-frequency mutations in sorted Vif mutants

    • Analyze mutations in known CBFβ-binding domains

    • Design peptides (9-17mer) covering critical mutation regions

    • Synthesize peptides with N-terminal acetylation and C-terminal amidation

This approach has successfully identified peptides like VMP-63 and VMP-108 that restrict HIV-1 infection with IC₅₀ values of 49.4 μM and 55.1 μM respectively, demonstrating the value of this methodology for developing competitive Vif-derived peptides targeting the Vif-CBFβ interaction .

What experimental controls are essential when evaluating anti-Vif antibody specificity?

Proper experimental controls are critical for validating anti-Vif antibody specificity:

  • Cell Type Controls:

    • Test antibody effects in both non-permissive cells (H9, CEM, U38) and permissive cells (MT4, CEM-SS)

    • Specificity is confirmed when effects are observed only in non-permissive cells

  • Viral Controls:

    • Compare effects on wild-type HIV-1 versus Δvif mutants

    • Use different HIV-1 strains (laboratory-adapted and primary isolates)

  • Functional Controls:

    • Monitor A3G degradation protection

    • Assess virus production levels

    • Measure viral reverse transcription completion in recipient cells

  • Dose-Dependency Testing:

    • Evaluate antibody effects at varying concentrations to establish IC₅₀ values

    • Specific Vif antagonists should inhibit viral replication in a dose-dependent manner only in non-permissive cells

  • Cytotoxicity Assessment:

    • Rule out non-specific effects by measuring cell viability

    • Ensure observed antiviral effects aren't due to cellular toxicity

These controls collectively ensure that observed effects are specifically attributable to Vif neutralization rather than non-specific factors.

Therapeutic Development Questions

Optimization of peptide inhibitors targeting the Vif-CBFβ interaction involves several methodological considerations:

  • Structure-Based Design:

    • Perform homology modeling to analyze binding advantages of peptides with CBFβ

    • Focus on critical binding regions (N-terminal domain, L64/I66, zinc finger structures)

  • Rational Mutation Strategy:

    • Identify key interaction sites (Q6E/L, V7E, W11G, I87V, A103P, D104N, H108R)

    • Introduce 1-3 strategic mutations per peptide

    • Design partially overlapping peptides to map contribution of different regions

  • Peptide Modification Approaches:

    • Core region identification: Shortening peptides to core functional regions

    • Chemical modifications: PEGylation, lipidation, D-amino acid substitutions

    • Terminal modifications: N-terminal acetylation and C-terminal amidation

  • Cell Penetration Enhancement:

    • Incorporate cell-penetrating peptide sequences

    • Monitor cellular uptake using FITC-labeled peptides

    • Assess rapid entry into target cells

  • Functional Assessment:

    • Measure competitive inhibition of Vif-CBFβ binding

    • Evaluate protection of A3G from Vif-mediated degradation

    • Assess enhancement of A3G encapsulation into progeny virions

    • Test long-term HIV-1 replication restriction in non-permissive T lymphocytes

Using these approaches, researchers have developed peptides like VMP-108 that effectively restrict long-term HIV-1 replication in non-permissive T lymphocytes with relatively low cytotoxicity .

What methodologies effectively evaluate the impact of anti-Vif interventions on HIV-1 infectivity?

Evaluating anti-Vif interventions requires robust methodological approaches:

  • Viral Replication Assays:

    • Monitor viral replication by measuring reverse transcriptase activity in culture supernatants at 2-day intervals

    • Compare replication in non-permissive (A3G-expressing) versus permissive cells

    • Assess dose-response relationships to determine IC₅₀ values

  • APOBEC3G Protection Assays:

    • Quantify intracellular A3G levels using western blotting or fluorescence techniques

    • Measure A3G encapsulation into progeny virions

    • Compare A3G levels with and without anti-Vif intervention

  • Mechanistic Analysis:

    • Evaluate competitive inhibition of Vif-CBFβ binding using binding assays

    • Perform co-immunoprecipitation to assess disruption of Vif-CBFβ complex

    • Use fluorescence resonance energy transfer (FRET) for interaction analysis

  • Long-Term Efficacy Studies:

    • Test long-term viral replication restriction beyond acute infection

    • Assess protection of A3 functions in non-permissive T lymphocytes

    • Monitor for potential viral escape mutations

  • Heterokaryons Experiments:

    • Form heterokaryons by fusing non-permissive cells (H9) with permissive cells (HeLa)

    • Analyze infectivity of virions produced from heterokaryons

    • Use these assays to test whether anti-Vif interventions overcome endogenous inhibitor neutralization

These methodologies collectively provide a comprehensive evaluation of anti-Vif interventions, from mechanistic understanding to functional outcomes in relevant cellular contexts.

How should researchers design cell-based screening assays for Vif inhibitors?

Designing effective cell-based screening assays for Vif inhibitors involves several key methodological considerations:

  • Reporter System Development:

    • Establish stable cell lines expressing fluorescently-labeled A3G (e.g., YFP-A3G)

    • Design assays that quantitatively monitor Vif-mediated A3G downregulation

    • Implement high-throughput compatible readouts (fluorescence intensity)

  • Cell Line Selection:

    • Use 293T cells for initial screens due to ease of transfection

    • Include both permissive (MT4, CEM-SS) and non-permissive cells (H9, CEM) for validation

    • Consider primary cells (PBMCs) for advanced validation stages

  • Control Conditions:

    • Include HIV-1 vectors with and without Vif (e.g., pNL-A1 and pNL-A1Δvif)

    • Establish Z-factor values for assay robustness assessment

    • Include positive control inhibitors when available

  • Assay Validation Criteria:

    • Specific Vif antagonists should inhibit viral replication dose-dependently only in non-permissive cells

    • Confirm specificity through parallel cytotoxicity assessments

    • Validate hits across multiple HIV-1 strains

This approach has successfully identified compounds like RN-18 that antagonize Vif function and inhibit HIV-1 replication specifically in the presence of A3G .

What challenges arise when working with Vif antibodies and how can they be addressed?

Researchers face several challenges when working with Vif antibodies:

  • Antibody Specificity Issues:

    • Challenge: Non-specific binding leading to false positive results

    • Solution: Validate using multiple detection methods and include Vif-deficient controls

  • Intracellular Delivery Limitations:

    • Challenge: Delivering antibodies to the cytoplasm where Vif functions

    • Solution: Develop intrabodies or use cell-penetrating peptide conjugation

  • Expression System Compatibility:

    • Challenge: Ensuring proper folding in the reducing environment of the cytoplasm

    • Solution: Use specialized expression systems designed for cytoplasmic antibody expression

  • HIV-1 Strain Variability:

    • Challenge: Vif sequence variation across HIV-1 strains

    • Solution: Target conserved epitopes or test against panels of diverse HIV-1 isolates

  • Quantification Challenges:

    • Challenge: Accurate measurement of antibody effects on Vif function

    • Solution: Implement robust readouts like protection of A3G from degradation and impact on viral infectivity rather than just binding assays

Addressing these challenges requires careful experimental design and validation across multiple systems to ensure reliable and reproducible results.

What emerging approaches show promise for next-generation anti-Vif therapeutics?

Several emerging approaches show significant promise for advancing anti-Vif therapeutic development:

  • Combination Approaches:

    • Targeting multiple Vif interactions simultaneously (e.g., Vif-CBFβ and Vif-APOBEC3G)

    • Combining Vif inhibitors with conventional antiretroviral therapies

  • Structure-Guided Design:

    • Using high-resolution structural data of Vif-CBFβ-E3 ligase complexes

    • Employing computational approaches to identify optimal binding sites

  • Delivery Technology Advancements:

    • Developing improved methods for intracellular delivery of peptides and antibodies

    • Exploring nanoparticle-based delivery systems

  • CRISPR/Cas9 Applications:

    • Targeting Vif directly at the genetic level

    • Engineering APOBEC3G to resist Vif-mediated degradation

  • Enhanced Peptide Stability:

    • Applying D-amino acid substitutions

    • Implementing stapled peptide technology to improve stability and cell penetration

These approaches collectively represent the frontier of anti-Vif therapeutic development, with the potential to overcome current limitations and provide new options for HIV-1 treatment strategies.

How might understanding the endogenous inhibitor of HIV-1 influence antibody development strategies?

Research suggests non-permissive human T lymphocytes contain an endogenous inhibitor of HIV-1 production that is counteracted by Vif . This has profound implications for antibody development strategies:

  • Target Identification Approach:

    • Characterize the endogenous inhibitor in non-permissive cells

    • Design antibodies that mimic or enhance its activity

    • Develop antibodies that prevent Vif from neutralizing the inhibitor

  • Heterokaryons Experimental Design:

    • Use heterokaryons (fused permissive and non-permissive cells) to study inhibitor properties

    • Design antibodies based on understanding of how Vif overcomes the inhibitor

    • Test antibody efficacy in the heterokaryons system

  • Species-Specific Considerations:

    • Account for species-specific interactions between Vif and cellular factors

    • Design antibodies that function in a cell-specific rather than virus-specific manner

    • Consider the evolutionary relationship between Vif and host restriction factors

  • Therapeutic Targeting Strategy:

    • Focus on restoring the natural inhibitory capacity of CD4-positive T lymphocytes

    • Design antibodies that block Vif without affecting the inhibitor

    • Potentially overcome the need for continuous antibody administration by reactivating endogenous defenses

Understanding this endogenous inhibitor represents a paradigm shift in anti-Vif therapeutic development, potentially allowing researchers to harness the body's natural antiviral mechanisms rather than introducing external inhibitors.

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