cyn-3 Antibody

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Description

Overview of Cy3 and Anti-Cy3 Antibodies

Cyanine dyes like Cy3 are sulfonated indocyanine dyes with high quantum yield and photostability, enabling sensitive detection in fluorescence microscopy, flow cytometry, and Western blotting . Anti-Cy3 antibodies specifically recognize the Cy3 fluorophore, allowing researchers to detect or localize Cy3-labeled probes in biological systems.

Key Applications

  • Immunofluorescence (IF): Visualization of Cy3-conjugated primary antibodies in fixed cells .

  • Western Blot (WB): Detection of biotinylated proteins via Cy3-streptavidin complexes .

  • Immunoprecipitation (IP): Isolation of Cy3-tagged protein complexes .

Fluorescence Imaging

In ICC/IF assays, anti-Cy3 antibodies (e.g., ab228690) enable high-resolution imaging of microtubule-organizing centers in human lung carcinoma cells (A549 line) when paired with Hoechst 33342 nuclear counterstain .

Enhanced Signal Detection

Biotin-Cy3 systems amplify signals by binding multiple streptavidin molecules (each carrying 5+ fluorophores) to a single biotinylated antibody, improving detection sensitivity in low-abundance targets .

Comparative Performance in Diagnostic Assays

While not directly tested for Cy3, related studies highlight the importance of antibody specificity:

  • CBA vs. ELISA/RIPA: Cell-based assays (CBA) show 8–10% higher specificity than ELISA or RIPA for detecting low-affinity antibodies .

  • Cross-Adsorption: Anti-Cy3 antibodies are cross-adsorbed against serum proteins from multiple species to reduce background .

Limitations and Considerations

  • Endogenous Biotin Interference: Biotin-rich tissues (e.g., liver) may require blocking steps when using biotin-Cy3 systems .

  • Photobleaching: Cy3 signals degrade under prolonged illumination; antifade mountants are recommended .

Future Directions

Recent advances in recombinant antibody engineering (e.g., Superclonal™ technology) aim to improve anti-Cy3 specificity and reduce batch variability . Additionally, Cy3-linked immunotoxins are being explored for targeted cancer therapy .

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
cyn-3 antibody; cyp-3 antibody; Y75B12B.5Peptidyl-prolyl cis-trans isomerase 3 antibody; PPIase 3 antibody; EC 5.2.1.8 antibody; Cyclophilin-3 antibody; Rotamase 3 antibody
Target Names
cyn-3
Uniprot No.

Target Background

Function
Peptidyl-prolyl isomerases (PPIases) accelerate the folding of proteins. They catalyze the cis-trans isomerization of proline imidic peptide bonds within oligopeptides.
Database Links
Protein Families
Cyclophilin-type PPIase family
Tissue Specificity
Exclusively expressed in the single anterior excretory cell.

Q&A

FAQs for Researchers on Cynomolgus TIM-3 (Cyn-3) Antibodies in Academic Research

How do I validate the specificity of anti-Cyn-3 antibodies for flow cytometry applications?

To ensure specificity, use a multi-step validation workflow:

  • Competitive blocking assays: Pre-incubate antibodies with recombinant Cyn-3 protein to confirm signal reduction (e.g., ≥95% reduction in MFI) .

  • Cross-reactivity testing: Validate against related proteins (e.g., human/mouse TIM-3, PD-L1) using ELISA or Octet bio-layer interferometry (BLI). For example, MsT001 anti-Cyn-3 showed <5% binding to human CD137 or OX40 .

  • Cell line panels: Test antibody binding on Cyn-3-expressing vs. knockout cell lines. A validated example:

    Cell LineBinding (%) (Mean ± SD)Non-Specific Binding (%)
    Cyn-3+99.7 ± 0.2≤0.5
    Cyn-3-1.2 ± 0.3N/A
    Data adapted from flow cytometry validation protocols .

What clonality (monoclonal vs. polyclonal) is optimal for Cyn-3 epitope mapping?

  • Monoclonal antibodies (e.g., MsT065) are preferred for single-epitope resolution, with minimal batch variability. They achieve sensitivities ≤10 pg/mL in ELISA .

  • Polyclonal antibodies may detect multiple epitopes but risk cross-reactivity. For structural studies, use recombinant monoclonals engineered for defined paratopes .

How do I design ELISAs to quantify Cyn-3 antibody affinity?

  • Direct ELISA: Coat plates with Cyn-3-hFc (1 µg/mL), apply serial antibody dilutions (0.1–100 nM), and measure OD450.

  • Octet BLI: Immobilize Cyn-3-hFc on AHC sensors, then measure association/dissociation rates. Example affinity data:

    AntibodyK<sub>D</sub> (nM)Association Rate (×10⁴ M⁻¹s⁻¹)
    MsT0010.372.8
    MsT2291.21.5
    BLI data from Cyn-3 binding studies .

How do I resolve discrepancies in Cyn-3 antibody performance across species?

  • Epitope alignment: Use Clustal Omega to compare Cyn-3 vs. human/mouse TIM-3 sequences. For example, the MsT286 epitope (residues 120–135) has 89% homology to human TIM-3 but only 62% to mouse .

  • Functional assays: Compare ligand blockade (e.g., galectin-9 inhibition) across species. Antibodies showing <20% cross-reactivity in BLI may require species-specific optimization .

What in vivo models are suitable for testing Cyn-3 antibody durability?

  • AAV-mediated delivery: Intramuscular injection of AAV8 vectors encoding anti-Cyn-3 antibodies achieves sustained serum concentrations (>1 µg/mL for 3 years post-injection) in primates .

  • Persistence metrics: Monitor serum half-life (t<sub>½</sub>) via PK modeling and anti-drug antibody (ADA) responses using bridging ELISAs. ADA-positive subjects show 50–70% reductions in antibody titers .

How can I assess Cyn-3 antibody neutralization potency in HIV-1 studies?

  • PT<sub>80</sub> biomarker: Calculate the serum dilution required for 80% viral neutralization. For HIV prophylaxis, a PT<sub>80</sub> >200 against circulating isolates correlates with 90% efficacy .

  • TZM-bl pseudovirus assay: Measure IC<sub>50</sub> against Cyn-3-sensitive HIV strains. Example neutralization data:

    AntibodyIC<sub>50</sub> (µg/mL)PT<sub>80</sub>
    VRC070.12320
    MsT0010.08480
    Adapted from bnAb efficacy benchmarks .

What computational tools improve Cyn-3 antibody affinity/specificity balancing?

  • Machine learning-guided optimization: Train models on BLI datasets (e.g., association rates, K<sub>D</sub>) to predict mutations enhancing affinity without off-target binding. For emibetuzumab analogs, this reduced non-specific binding by 40% .

  • Epitope binning: Use SPR or hydrogen-deuterium exchange (HDX-MS) to map competing antibodies and engineer non-overlapping paratopes .

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