pgl-2 Antibody

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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
pgl-2 antibody; B0523.3 antibody; P granule abnormality protein 2 antibody
Target Names
pgl-2
Uniprot No.

Target Background

Function
PGL-2 antibody targets a transient component of the P-granule, which plays a crucial role in germline development.
Database Links

KEGG: cel:CELE_B0523.3

STRING: 6239.B0523.3

UniGene: Cel.10928

Subcellular Location
Cytoplasmic granule.
Tissue Specificity
Highly expressed in the germline.

Q&A

PGL-I Antibody Research: Academic FAQs
Note: The query refers to "PGL-2 Antibody," but available literature focuses on PGL-I (phenolic glycolipid-I), a well-characterized Mycobacterium leprae antigen. This FAQ assumes a typographical error and addresses PGL-I-specific research.

Advanced Research Questions

How can contradictions in anti-PGL-I antibody levels across studies be resolved?

FactorImpact on Antibody LevelsMitigation Strategy
Bacterial Index (BI)High BI correlates with elevated IgM (r=0.72)Stratify cohorts by BI (e.g., BI ≥4 vs. <2)
Treatment durationIgM declines post-MDT (50% reduction in 6 months)Standardize sampling timelines
Assay variabilityInter-lab CV >30% for IgGAdopt WHO reference reagents for calibration

Can computational models predict PGL-I antibody binding modes for epitope discrimination?

  • Validate predictions with phage display libraries and SPR (surface plasmon resonance) to confirm binding kinetics .

How do PGL-I antibody dynamics inform prognostic models for leprosy reactions?

  • Type 1 reversal reactions: No significant IgM difference vs. non-reaction patients (p=0.34) .

  • Type 2 (ENL) reactions: Monitor post-MDT IgG trends; sustained elevation predicts relapse (OR=3.2) .

  • Apply reverse cumulative distribution curves to visualize cohort-level antibody heterogeneity .

Methodological Best Practices

  • Sample handling: Avoid repeated freeze-thaw cycles; IgG degrades 12% after 3 cycles .

  • Statistical power: For detecting 20% differences in antibody prevalence, recruit ≥200 patients (α=0.05, β=0.2) .

  • Longitudinal monitoring: Collect baseline, 6-month, and 12-month post-MDT samples to track seroreversion .

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