C02F5.13 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
14-16 week lead time (made-to-order)
Synonyms
C02F5.13; TM2 domain-containing protein C02F5.13
Target Names
C02F5.13
Uniprot No.

Target Background

Database Links

KEGG: cel:CELE_C02F5.13

STRING: 6239.C02F5.13

UniGene: Cel.31156

Protein Families
TM2 family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

FAQs for C02F5.13 Antibody in Academic Research

Advanced Research Questions

How should I resolve contradictions between C02F5.13 antibody performance in ELISA vs. immunofluorescence?

  • Troubleshooting framework:

    • Post-translational modifications: ELISA may detect linear epitopes, while immunofluorescence requires conformational epitopes. Test denatured vs. native protein preparations .

    • Epitope masking: Use alternative fixation methods (e.g., methanol vs. paraformaldehyde) to expose hidden epitopes.

    • Quantify target protein levels in lysates via mass spectrometry to establish ground-truth correlations .

What strategies mitigate cross-reactivity with paralogs or homologs?

  • Solutions:

    • Perform BLAST analysis to identify homologous regions; avoid antibodies targeting conserved domains .

    • Use domain-specific knockout models to test off-target binding.

    • Combine with immunoprecipitation-mass spectrometry (IP-MS) to identify co-precipitated proteins .

How do I design a rigorous experiment to assess C02F5.13’s role in complement-mediated cytotoxicity?

  • Experimental design:

    • In vitro: Use serum-free medium supplemented with purified complement proteins and compare cell lysis in C02F5.13-expressing vs. knockout cells .

    • Controls: Include inhibitors of membrane attack complex (MAC) formation (e.g., CD59) to confirm specificity .

    • Readouts: Measure lactate dehydrogenase (LDH) release and validate via live-cell imaging of membrane integrity.

Technical Optimization & Data Analysis

What statistical methods are appropriate for quantifying C02F5.13 expression variability across samples?

  • Recommendations:

    • Apply mixed-effects models to account for batch variability in large datasets.

    • Use Cohen’s d or fold-change thresholds (e.g., >2x) to define biologically significant differences .

    • Pair with Benjamini-Hochberg correction for multiple hypothesis testing in omics studies .

How can I validate C02F5.13 antibody specificity in multiplex spatial proteomics?

  • Workflow:

    • Use tissue microarrays with paired positive/negative controls.

    • Validate co-detection signals with single-plex assays.

    • Apply image-based machine learning tools (e.g., QuPath) to exclude artifacts .

Data Tables

Table 1: Comparative Analysis of C02F5.13 Detection Methods

MethodSensitivityRequired Sample InputKey Limitations
Western BlotModerate20–50 µg proteinPost-translational modifications affect mobility
IHCHigh4 µm FFPE sectionEpitope masking in fixed tissue
Flow CytometryHigh1×10⁶ cells/mLAutofluorescence in primary cells

Table 2: Common Pitfalls in C02F5.13 Studies

IssueSolution
Non-linear standard curvesUse serial dilutions of recombinant protein
Batch-to-batch variabilityPre-validate antibody lots with reference samples
Low signal in FFPEOptimize antigen retrieval time/temperature

Methodological Notes

  • For epitope mapping, combine peptide arrays with alanine scanning mutagenesis to identify critical binding residues .

  • In longitudinal studies, archive aliquots of primary antibodies to control for lot variability.

  • For quantitative assays, normalize C02F5.13 levels to housekeeping proteins validated in your experimental system (e.g., GAPDH or β-actin) .

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