FPG1 Antibody

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Description

Identification and Role of FPG-1 Antibody

The FPG-1 antibody is generated in response to the FPG-1 peptide, a 20-amino-acid sequence derived from dengue virus non-structural protein NS4b. This peptide serves as a conformational epitope recognized by IgG antibodies in sera from convalescent dengue patients (>10 days post-symptom onset) .

  • Structural context: Antibodies targeting FPG-1 belong to the IgG subclass, characterized by a Y-shaped structure with two antigen-binding Fab regions and an Fc region mediating immune effector functions .

  • Diagnostic mechanism: The FPG-1 peptide is immobilized on microspheres in a multiplex immunoassay (MPIA) to capture IgG antibodies, enabling high-throughput detection of DENV infection .

Diagnostic Performance of FPG-1 Antibody

FPG-1 antibodies exhibit strong sensitivity in identifying DENV infections, particularly in later stages. Key findings include:

ParameterFPG-1 Antibody Performance
Sensitivity (C-DENV*)86%
Sensitivity (A-DENV**)61.1%
Area Under Curve (AUC)0.8131
Specificity>80% (when combined with other peptides)

*C-DENV: Convalescent dengue patients (>10 days post-symptom onset); **A-DENV: Acute dengue patients (≤8 days post-symptom onset).

Multiplex Peptide Immunoassay (MPIA)

The FPG-1 peptide was evaluated alongside 19 other flavivirus-derived peptides using Luminex technology:

  • Assay design: FPG-1 was conjugated to bovine serum albumin (BSA) and coupled to magnetic beads. IgG binding was measured via fluorescent detection .

  • Comparative performance: FPG-1 outperformed other peptides in detecting convalescent-phase antibodies, with 86% sensitivity versus 60–65% for alternative markers like PM-22 .

Algorithm-Driven Diagnostics

A Random Forest (RF) model incorporating FPG-1 and other peptides improved diagnostic accuracy:

  • Combined sensitivity: 88.3% for A-DENV and C-DENV samples .

  • Specificity optimization: The model achieved >80% specificity while maintaining high sensitivity, reducing false positives in regions with co-circulating flaviviruses .

Technical Validation and Limitations

  • Cross-reactivity: FPG-1 antibodies show minimal cross-reactivity with Zika or yellow fever virus antibodies, enhancing DENV specificity .

  • Limitations:

    • Reduced sensitivity in acute-phase infections (≤8 days).

    • Requires complementary markers (e.g., PM-22) for comprehensive detection .

Broader Implications

The FPG-1 antibody system exemplifies the shift toward peptide-based diagnostics for arboviruses, offering advantages over traditional ELISA methods in scalability and cost. Future research may explore its utility in vaccine efficacy trials or as a prognostic marker for severe dengue .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
FPG1 antibody; FPG2 antibody; At1g52500 antibody; F6D8.28Formamidopyrimidine-DNA glycosylase antibody; Fapy-DNA glycosylase antibody; EC 3.2.2.23 antibody; EC 4.2.99.18 antibody; DNA-(apurinic or apyrimidinic site) lyase FPG1 antibody; Formamidopyrimidine-DNA glycosylase 1 antibody; AtFPG-1 antibody; Formamidopyrimidine-DNA glycosylase 2 antibody; AtFPG-2 antibody; Protein MutM homolog 1 antibody; AtMMH-1 antibody; Protein MutM homolog 2 antibody; AtMMH-2 antibody
Target Names
FPG1
Uniprot No.

Target Background

Function
FPG1 plays a crucial role in the base excision repair (BER) pathway, a major DNA repair system that removes damaged bases caused by oxidation or mutagenic agents. This enzyme functions as a DNA glycosylase, recognizing and removing damaged bases. Notably, FPG1 exhibits high efficiency in processing 4,6-diamino-5-formamidopyrimidine (FapyA), 2,6-diamino-4-hydroxy-5-formamidopyrimidine (FapyG), and advanced oxidation products of 8-oxoguanine (8-oxoG), including guanidinohydantoin and spiroiminodihydantoin. While it possesses marginal activity towards 8-oxoG, FPG1 demonstrates significant AP (apurinic/apyrimidinic) lyase activity. This activity involves cleaving the DNA backbone through beta-delta elimination, generating a single-strand break at the site of the removed base. This break exhibits both 3'- and 5'-phosphates.
Gene References Into Functions
  1. A notable difference between AthFpg and bacterial Fpg proteins is the absence of the alphaF-beta9/10 loop. This loop has been identified as essential for 8-oxoG recognition. PMID: 22789755
Database Links

KEGG: ath:AT1G52500

STRING: 3702.AT1G52500.2

UniGene: At.11653

Protein Families
FPG family
Subcellular Location
Nucleus.
Tissue Specificity
Expressed in leaves (at protein levels).

Q&A

Here’s a structured collection of FAQs for researchers working with FPG1 antibody in academic contexts, synthesized from peer-reviewed methodologies and antibody validation principles:

How do I validate the specificity of FPG1 antibody in my experimental system?

  • Methodology:

    • Perform knockout/knockdown validation using siRNA or CRISPR-Cas9 in target cell lines. Compare staining intensity between wild-type and knockout cells .

    • Use orthogonal validation (e.g., Western blot for protein size confirmation alongside immunofluorescence) .

    • Test cross-reactivity with structurally related proteins via peptide blocking assays .

What controls are essential for FPG1 antibody-based assays?

  • Critical controls:

    • Biological controls: Tissue/cells lacking FPG1 expression.

    • Technical controls:

      • Isotype controls: Match host species and IgG subclass .

      • Fluorescence minus one (FMO): Omit primary antibody to assess background .

      • Pre-adsorption: Pre-incubate antibody with excess antigen to confirm signal specificity .

How do I optimize FPG1 antibody dilution for flow cytometry?

  • Titration protocol:

    • Test dilutions across a 1:50–1:800 range.

    • Calculate signal-to-noise ratio (MFI of positive population / MFI of negative control).

    • Select the dilution with the highest ratio without background saturation .

How to resolve contradictory FPG1 localization data between IHC and IF?

  • Troubleshooting framework:

    FactorIHCIF
    FixationFormalin may mask epitopesMethanol/acetone better for membrane targets
    Antigen retrievalRequired for formalin-fixed tissuesRarely used
    PermeabilizationLimited for surface antigensCritical for intracellular targets
    • Validate with subcellular fractionation followed by Western blot .

How to design a multiplex panel including FPG1 antibody?

  • Steps:

    • Assign FPG1 to a high-sensitivity channel (e.g., PE, APC).

    • Check spillover spread matrix for spectral overlap using compensation beads .

    • Use tandem dyes for low-abundance targets to minimize channel competition.

What computational tools assist in predicting FPG1 epitope-antibody interactions?

  • Tools:

    • ABodyBuilder: Models antibody-antigen docking .

    • BepiPred-3.0: Predicts linear epitopes using machine learning .

    • Validate predictions with alanine scanning mutagenesis .

Antibody Validation Checklist

ParameterTestAcceptance Criteria
SpecificityKnockout validation≥90% signal reduction in KO
Batch consistencyLot-to-lot comparisonCV <15% in MFI
Cross-reactivityPeptide blocking assay≥50% signal inhibition

Data Contradiction Analysis Workflow

  • Replicate experiments across >3 biological replicates.

  • Compare results with independent techniques (e.g., RNA-FISH for mRNA vs. antibody for protein).

  • Perform meta-analysis of published FPG1 interaction databases to identify context-dependent expression patterns .

Key Considerations for Publication

  • Report antibody clone, catalog number, and validation data (e.g., RRID, KO validation images) .

  • Disclose batch-specific variability if observed (e.g., differential staining between lots) .

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