VIL3 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
VIL3 antibody; VEL2 antibody; At2g18880 antibody; F19F24.8 antibody; VIN3-like protein 3 antibody; Vernalization5/VIN3-like protein 2 antibody
Target Names
VIL3
Uniprot No.

Target Background

Function
VIL3 Antibody plays a significant role in both the vernalization and photoperiod pathways by regulating gene expression.
Database Links

KEGG: ath:AT2G18880

STRING: 3702.AT2G18880.1

UniGene: At.39929

Subcellular Location
Nucleus.

Q&A

What is the VIL3 antibody, and how is it utilized in scientific research?

The VIL3 antibody is a specialized immunological reagent designed to target specific epitopes within proteins or biomarkers. It is frequently employed in various experimental methodologies, including Western blotting, immunohistochemistry (IHC), flow cytometry, immunoprecipitation, and enzyme-linked immunosorbent assays (ELISA). Its specificity allows researchers to detect and quantify proteins in complex biological samples, providing insights into cellular mechanisms and disease pathogenesis .

In scientific research, VIL3 antibodies are critical for elucidating protein-protein interactions, signaling pathways, and molecular dynamics. For example, in Western blotting, the antibody binds to its target protein after electrophoretic separation and transfer onto a membrane. This interaction is visualized using secondary antibodies conjugated with enzymatic or fluorescent markers . Similarly, in IHC, VIL3 antibodies help localize proteins within tissue sections by binding to antigens preserved during fixation .

How can researchers validate the specificity of VIL3 antibodies in their experiments?

Validating the specificity of VIL3 antibodies involves multiple steps to ensure that they bind exclusively to their intended target. This process typically includes:

  • Western Blot Analysis: Researchers compare antibody binding patterns across samples containing the target protein versus those lacking it. Specificity is confirmed if the antibody binds only to the expected molecular weight band .

  • Knockout or Knockdown Models: Using genetic tools like CRISPR-Cas9 or RNA interference (RNAi), researchers create samples devoid of the target protein. The absence of binding in these samples further verifies specificity .

  • Pre-absorption Tests: The antibody is incubated with its antigen prior to application on samples. A reduction or elimination of binding indicates specificity .

  • Immunoprecipitation Coupled with Mass Spectrometry: This technique identifies all proteins bound by the antibody in a sample, ensuring that off-target interactions are minimal .

Validation is crucial for reproducibility and reliability in experimental research.

What are the challenges associated with using VIL3 antibodies in bispecific formats?

Bispecific antibodies combine two distinct antigen-binding sites into one molecule, enabling simultaneous targeting of multiple epitopes. While this approach enhances therapeutic efficacy and reduces viral escape potential, challenges include:

  • Epitope Geometry: The spatial arrangement of epitopes can affect binding efficiency. For example, bispecific VH/Fab IgGs targeting SARS-CoV-2 demonstrated enhanced neutralization potency due to their unique geometry .

  • Sequence Optimization: Engineering bispecific antibodies often alters their biophysical properties, necessitating additional optimization to maintain stability and pharmacokinetics .

  • Labor-Intensive Production: Generating bispecific formats involves complex molecular engineering processes that can be resource-intensive .

Despite these challenges, bispecific VIL3 antibodies hold promise for advancing immunotherapy and diagnostic applications.

How does epitope specificity influence the functionality of VIL3 antibodies?

Epitope specificity determines how effectively an antibody binds to its target antigen and mediates downstream effects such as neutralization or signaling inhibition. Studies have shown that antibodies targeting conserved epitopes exhibit higher cross-reactivity across variants of pathogens or proteins .

For instance, when analyzing VH5-51/VL lambda-derived monoclonal antibodies against HIV-1's V3 region, researchers found that conserved epitope recognition led to consistent binding across diverse viral strains . Similarly, VIL3 antibodies designed for conserved epitopes may provide robust performance across experimental conditions.

Epitope-specific functionality also impacts therapeutic applications by reducing resistance development and enhancing efficacy.

What experimental controls are essential when working with VIL3 antibodies?

To ensure accurate interpretation of results, researchers must incorporate rigorous controls:

  • Positive Controls: Samples known to express the target protein confirm antibody functionality.

  • Negative Controls: Samples lacking the target protein verify specificity.

  • Isotype Controls: Non-specific antibodies of the same class as VIL3 serve as controls for background staining.

  • Secondary Antibody Controls: Testing secondary antibodies alone ensures that observed signals arise from primary antibody binding.

These controls are indispensable for distinguishing true signals from artifacts.

How can researchers address data contradictions when using VIL3 antibodies?

Data contradictions may arise due to variability in experimental conditions or reagent quality. To resolve discrepancies:

  • Reagent Validation: Verify antibody specificity through knockout models or mass spectrometry.

  • Replication Studies: Repeat experiments under identical conditions to ensure reproducibility.

  • Protocol Standardization: Minimize variability by adhering to standardized protocols.

  • Cross-Platform Comparisons: Utilize multiple detection methods (e.g., Western blotting and ELISA) to corroborate findings.

What role do complementarity-determining regions (CDRs) play in VIL3 antibody functionality?

CDRs are hypervariable regions within an antibody's variable domain that directly interact with antigens. They dictate binding affinity and specificity by forming a unique three-dimensional structure complementary to the epitope .

In studies involving VH5-51/VL lambda-derived monoclonal antibodies against HIV-1's V3 region, CDRs H1, H2, L1, and L2 were found to shape the antigen-binding site consistently across diverse peptides . This structural conservation highlights the importance of CDRs in designing effective antibodies.

Understanding CDR contributions aids in engineering optimized VIL3 variants for research applications.

How can researchers optimize experimental design when using VIL3 antibodies?

Optimizing experimental design involves tailoring methodologies to specific research objectives:

  • Antibody Concentration Titration: Determine optimal concentrations for minimizing background noise while maximizing signal intensity.

  • Sample Preparation: Use appropriate fixation methods (e.g., paraformaldehyde for IHC) to preserve antigen integrity.

  • Detection Techniques: Select methods compatible with study goals (e.g., fluorescence microscopy for cellular localization).

  • Data Analysis Tools: Employ software solutions for quantitative analysis of Western blot bands or immunofluorescence images.

Careful design ensures robust data generation when using VIL3 antibodies.

Can preferential Ig gene usage influence VIL3 antibody design?

Preferential Ig gene usage refers to certain variable heavy (VH) and light (VL) chain genes being favored during immune responses against specific antigens . This phenomenon suggests pre-determined structural compatibility between Ig genes and conserved epitopes.

For example, VH5-51/VL lambda genes were predominantly used by anti-V3 HIV-1 monoclonal antibodies due to their ability to recognize conserved epitopes within diverse viral envelopes . Leveraging such insights can guide rational design of VIL3 derivatives targeting conserved protein regions.

By understanding Ig gene preferences, researchers can enhance antibody efficacy across experimental systems.

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