lev-1 Antibody

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Description

Target Overview

LYVE-1 is a CD44 homolog involved in hyaluronan transport and lymphatic vessel formation. Its expression is restricted to lymphatic endothelium, making it a key marker for distinguishing lymphatic from blood vessels .

Immunohistochemistry (IHC)

  • Human Tonsil: LYVE-1 antibody (15 µg/mL) effectively stains lymphatic structures in paraffin-embedded tissues, visualized via HRP-DAB staining .

  • Mouse Models: Used to identify MHC-II/PD-L1 upregulation in peritumoral lymphatic endothelial cells (LECs) in B16F10 tumor-bearing mice .

Western Blot

  • Detects LYVE-1 at ~60 kDa in human liver and spleen lysates under reducing conditions .

  • Cross-reactivity: 35% with recombinant mouse LYVE-1 .

ApplicationSample TypeConcentrationResult
IHC (Human Tonsil)Paraffin-embedded15 µg/mLClear lymphatic staining
Western Blot (Human)Liver/Spleen lysates0.25–1 µg/mLBand at ~60 kDa
Mouse IHCTumor-associated LECsNot specifiedMHC-II/PD-L1 visualization

Regulation by TGF-β

  • TGF-β1, -β2, and -β3 reduce LYVE-1 expression in primary human LECs by 40–60% after 72–100 hours (Western blot analysis) .

TreatmentDurationLYVE-1 ReductionMethod
TGF-β1 (30 ng/mL)72 hrs~55%Western blot
TGF-β2 (30 ng/mL)100 hrs~60%Densitometry

Tumor Microenvironment Studies

  • Peritumoral LECs exhibit elevated PD-L1 and MHC-II compared to naïve LECs in murine melanoma models .

  • LYVE-1 staining combined with MHC-II immunofluorescence reveals spatial immune activation patterns .

Therapeutic Implications

LYVE-1 antibodies are used to study:

  • Lymphatic remodeling in cancer metastasis .

  • Immune checkpoint modulation (e.g., PD-L1 dynamics in LECs) .

  • Drug response evaluation (e.g., TGF-β-mediated LYVE-1 suppression) .

Comparative Insights from Related Antibody Research

While LYVE-1 itself is not directly therapeutic, studies on engineered antibodies (e.g., anti-PD-1 armored γδ T cells) demonstrate methodologies relevant to LYVE-1 research:

  • Antibody engineering: Lentiviral constructs for stable expression (e.g., PD-1 antibodies in γδ T cells) .

  • Functional assays: Cytotoxicity and cytokine release profiling .

Technical Considerations

  • Cross-reactivity: Partial reactivity with murine LYVE-1 necessitates validation for interspecies studies .

  • Buffer compatibility: Optimized for Immunoblot Buffer Group 8 and chromogenic IHC protocols .

Ongoing Challenges

  • Specificity: Requires rigorous validation to avoid false positives in tissues with hyaluronan-rich matrices.

  • Quantitation: Densitometry (e.g., ImageJ) is critical for semi-quantitative analyses .

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
lev-1 antibody; F09E8.7Acetylcholine receptor subunit beta-type lev-1 antibody; Levamisole-resistant protein 1 antibody
Target Names
lev-1
Uniprot No.

Target Background

Function
The lev-1 Antibody targets the non-alpha subunit of the nicotinic acetylcholine receptor (nAChR). This subunit plays a crucial role in regulating the receptor's sensitivity to nicotine.
Database Links

STRING: 6239.F09E8.7a

UniGene: Cel.19676

Protein Families
Ligand-gated ion channel (TC 1.A.9) family, Acetylcholine receptor (TC 1.A.9.1) subfamily
Subcellular Location
Cell junction, synapse, postsynaptic cell membrane; Multi-pass membrane protein. Cell membrane; Multi-pass membrane protein.

Q&A

Based on a comprehensive analysis of available research literature and patent filings related to antibody characterization and applications, here is a structured FAQ addressing key research considerations for antibody studies in academic contexts:

Advanced Research Questions

How to resolve contradictory binding data across platforms?

Discrepancy TypeResolution Strategy
WB+ vs IHC-Check post-translational modifications
Flow+ vs ELISA-Investigate conformational epitopes
Animal vs human modelsPerform epitope mapping

What computational tools predict antibody-antigen interactions?

  • Molecular dynamics simulations for:

    • Paratope-epitope docking

    • Affinity maturation pathways

    • Structural stability under different pH conditions

How to design bispecific antibodies for T-cell engagement?

ParameterOptimal Range
CD3 affinity10-100 μM
Target affinity≤10 nM
Valency1:1 > 2:1 format for reduced toxicity

Methodological Considerations

7. Standardized protocol for antibody validation:

  • Define purpose-specific validation criteria

  • Establish quantitative metrics (e.g., signal-to-noise ratio ≥5:1)

  • Document lot-to-lot variability over ≥3 production batches

8. Statistical approaches for binding kinetics analysis:

  • Use global fitting of binding curves:

    R=Rmax[Ab]KD+[Ab]R = \frac{R_{max}[Ab]}{K_D + [Ab]}

    Where RR = measured response, KDK_D = dissociation constant

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