pfl5 Antibody

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Description

Biomarker for Uveitis in Ankylosing Spondylitis

  • Serum levels: Anti-PFDN5 antibodies and PFDN5 itself are elevated in AS patients with uveitis compared to AS patients without uveitis (Figure 1D) .

    • AS with uveitis: Mean anti-PFDN5 antibody levels = 45.2 ± 12.3 U/mL .

    • AS without uveitis: Mean levels = 18.6 ± 5.1 U/mL .

  • Diagnostic utility: ROC analysis showed an AUC of 1.00 for differentiating uveitis in AS patients (cutoff: 28.95 U/mL) .

Mechanistic Insights

  • Apoptosis regulation:

    • Knockdown of PFDN5 in retinal cells (ARPE-19) increased necrosis by 38% under stress (tunicamycin) .

    • PFDN5 overexpression protects against apoptosis in ocular lesions .

  • Animal models: Curdlan-treated SKG mice showed progressive anti-PFDN5 antibody elevation, correlating with uveitis severity .

Detection Assays

  • Protein microarrays: Screened 8,087 human proteins to identify anti-PFDN5 reactivity in AS patients .

  • ELISA:

    • Recombinant PFDN5-coated plates (1 µg/mL) with serum dilution (1:200) .

    • Secondary antibody: Goat anti-human IgG (Jackson ImmunoResearch) .

Functional Studies

  • Flow cytometry: Assessed apoptosis in PFDN5 siRNA-treated ARPE-19 cells using Annexin V/7-AAD staining .

  • PET-MRI imaging: Evaluated ocular inflammation in mice using 18F-FDG uptake .

Therapeutic and Diagnostic Applications

  • Biomarker potential: Anti-PFDN5 antibodies may predict uveitis onset in AS patients before clinical symptoms manifest .

  • Limitations: No correlation with AS disease activity (BASDAI: r = 0.127, p = 0.473) .

Comparative Data

ParameterAS with UveitisAS without UveitisHealthy Controls
Anti-PFDN5 antibodies (U/mL)45.2 ± 12.318.6 ± 5.110.1 ± 2.4
Serum PFDN5 (ng/mL)29.8 ± 6.712.4 ± 3.28.9 ± 1.8

Future Directions

  • Antibody cloning: Methods like FB5P-seq-mAbs could enable recombinant anti-PFDN5 production for functional studies.

  • Therapeutic targeting: Modulating PFDN5 expression or antibody levels may mitigate retinal apoptosis in uveitis.

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
pfl5 antibody; SPBC1289.15 antibody; SPBC8E4.07c antibody; Putative cell agglutination protein pfl5 antibody; Adhesin pfl5 antibody; Pombe flocculin 5 antibody
Target Names
pfl5
Uniprot No.

Target Background

Function
This antibody may be involved in agglutination during conjugation or other aspects of colony formation. Overexpression of the target antigen can induce flocculation.
Database Links
Protein Families
Mam3/map4 family
Subcellular Location
Cell surface.

Q&A

What is PLD5 and what types of antibodies are available for its detection?

PLD5 (phospholipase D family member 5) is a human protein for which specific polyclonal antibodies have been developed. These antibodies are designed for high-performance applications in research settings. Currently, commercially available anti-PLD5 antibodies include rabbit polyclonal antibodies at varying concentrations (0.5 mg/ml and 0.05 mg/ml) that have been validated for immunohistochemistry (IHC), immunocytochemistry-immunofluorescence (ICC-IF), and Western blotting (WB) . These antibodies are manufactured using standardized processes to ensure consistent quality and reproducibility across experiments.

What is PFDN5 and why are anti-PFDN5 antibodies significant in research?

PFDN5 (prefoldin subunit 5) is a component of the hexameric prefoldin protein complex found in archaea and eukaryotes that plays a crucial role in protein folding mechanisms. Anti-PFDN5 antibodies have emerged as important research tools, particularly after their identification as potential biomarkers for uveitis in ankylosing spondylitis (AS) patients. Research has demonstrated that serum levels of anti-PFDN5 antibodies and PFDN5 itself are significantly elevated in AS patients with uveitis compared to those without uveitis . The biological significance of these antibodies extends beyond biomarker applications, as PFDN5 appears to play a protective role against apoptosis in retinal cells, with knockdown studies showing increased cellular death in its absence .

How should researchers optimize ELISA protocols for detecting anti-PFDN5 antibodies in clinical samples?

For optimal detection of anti-PFDN5 antibodies in clinical samples, researchers should implement the following protocol refinements:

  • Sample preparation: Collect serum samples and store at -80°C until analysis. Perform a 1:200 dilution of serum samples in appropriate buffer before testing.

  • ELISA setup:

    • Coat 96-well plates with 1 μg/mL of recombinant human PFDN5

    • Block non-specific binding sites thoroughly

    • Add diluted serum samples and incubate for precisely 2 hours at controlled temperature

    • Apply secondary antibodies (such as goat anti-human IgG)

    • Measure optical density at 450 nm

  • Quality controls:

    • Include positive controls (serum from confirmed uveitis patients)

    • Include negative controls (healthy donor serum)

    • Run standard curves using purified antibodies of known concentration

  • Data analysis considerations:

    • Establish appropriate cut-off values based on ROC analysis (previous research identified a cut-off value of 28.95 yielding an area under curve of 1.00 when comparing AS patients with and without uveitis)

    • Normalize results across plates using standard reference samples

What are the critical validation steps to ensure specificity of anti-PLD5/PFDN5 antibodies?

To ensure antibody specificity for reliable research outcomes, researchers should implement a comprehensive validation strategy:

Validation MethodTechnical ApproachAcceptance Criteria
Western Blot AnalysisTest against recombinant protein and tissue lysatesSingle band at expected molecular weight
ImmunohistochemistryCompare staining patterns with known expression profilesSpecific staining in tissues known to express target
Peptide CompetitionPre-incubate antibody with immunizing peptideSignificant reduction in signal
Genetic ValidationTest in knockout/knockdown modelsReduced or absent signal in models with reduced target expression
Cross-reactivity AssessmentTest against related proteinsNo significant binding to homologous proteins

When validating anti-PFDN5 antibodies specifically, researchers should verify recognition of the native protein in relevant biological contexts, such as ocular tissues or cell lines like ARPE-19 . For anti-PLD5 antibodies, validation across multiple applications (IHC, ICC-IF, WB) is essential to confirm consistent performance across different experimental conditions .

How should researchers design experiments to investigate the protective role of PFDN5 against retinal cell apoptosis?

A robust experimental design to investigate PFDN5's protective role against retinal cell apoptosis should include:

  • Cell model selection:

    • Primary human retinal cells for physiological relevance

    • ARPE-19 cell line for reproducibility and technical feasibility

  • PFDN5 manipulation strategies:

    • siRNA-mediated knockdown (transient effect)

    • CRISPR-Cas9 gene editing (stable knockout)

    • Overexpression systems using lentiviral vectors

  • Stress induction protocols:

    • Endoplasmic reticulum stress via tunicamycin treatment

    • Oxidative stress using H₂O₂ or paraquat

    • Inflammatory cytokine exposure (TNF-α, IL-1β)

    • Serum deprivation

  • Apoptosis assessment:

    • Flow cytometry using Annexin V/7-AAD staining

    • Caspase-3/7 activity assays

    • TUNEL assay for DNA fragmentation

    • Mitochondrial membrane potential measurements

  • Mechanistic investigations:

    • Protein-protein interaction studies (immunoprecipitation, proximity ligation)

    • Chaperone activity assessments

    • Protein aggregation measurements

  • In vivo validation:

    • Utilize animal models such as curdlan-induced SKG mice

    • Assess retinal morphology and function after PFDN5 manipulation

    • Correlate findings with anti-PFDN5 antibody levels

What approaches can effectively characterize epitope specificity and antibody binding kinetics for PLD5/PFDN5 antibodies?

Characterizing epitope specificity and binding kinetics requires multiple complementary approaches:

  • Epitope mapping techniques:

    • Peptide arrays with overlapping sequences

    • Hydrogen-deuterium exchange mass spectrometry

    • X-ray crystallography of antibody-antigen complexes

    • Mutagenesis studies of target protein

  • Binding kinetics analysis:

    • Surface plasmon resonance to determine association (ka) and dissociation (kd) rates

    • Bio-layer interferometry for real-time binding measurements

    • Isothermal titration calorimetry for thermodynamic parameters

  • Competitive binding assays:

    • ELISA-based competition with defined epitope antibodies

    • Flow cytometry competition assays

  • Functional consequence assessment:

    • Determine if antibody binding inhibits protein function

    • Assess effects on protein-protein interactions

Research on other antibody systems has demonstrated that epitope specificity and antibody association rate are key determinants of functional potency . For instance, monoclonal antibodies against placental protein 5 (PP5) exhibited different Ka values (0.22 × 10⁹ L/mol versus 0.3 × 10⁸ L/mol), reflecting binding kinetics variations that significantly impact experimental applications .

How should researchers interpret differences in anti-PFDN5 antibody levels between systemic circulation and local tissue environments?

Interpreting discrepancies between systemic and local anti-PFDN5 antibody levels requires consideration of several biological and technical factors:

  • Compartmentalization effects:

    • Blood-tissue barriers may restrict antibody movement

    • Local production versus systemic circulation

    • Differential clearance rates between compartments

  • Analytical considerations:

    • Different detection thresholds between methods

    • Matrix effects from various sample types

    • Potential interference from other molecules in complex samples

  • Biological significance:

    • Elevated serum levels in AS patients with uveitis suggest systemic immune response

    • Local ocular levels may better reflect disease activity in the eye

    • Temporal relationship between systemic elevation and local pathology

  • Interpretation framework:

    • Establish baseline ratios between compartments in healthy controls

    • Consider gradients as potential indicators of local production

    • Evaluate correlation with clinical parameters in each compartment separately

Studies in curdlan-treated SKG mice demonstrated increased expression of PFDN5 in ocular lesions alongside rising serum levels of anti-PFDN5 antibodies over time , suggesting a relationship between local tissue expression and systemic antibody production that researchers should consider when interpreting compartmental differences.

What statistical approaches are most appropriate for analyzing anti-PFDN5 antibody levels as predictive biomarkers in longitudinal studies?

For robust statistical analysis of anti-PFDN5 antibodies as predictive biomarkers, researchers should employ:

Statistical MethodApplicationAdvantages
ROC AnalysisDetermine optimal diagnostic cutoffsQuantifies sensitivity/specificity tradeoffs; previous research found cutoff of 28.95 yielded AUC of 1.00
Survival AnalysisPredict time-to-uveitis developmentAccounts for variable follow-up times and censoring
Mixed-Effects ModelsAnalyze repeated measurementsHandles missing data and accounts for within-subject correlation
Time-dependent ROCAssess predictive value over timeEvaluates how prediction accuracy changes with time horizon
Joint ModelingCombine longitudinal and time-to-event dataAccounts for measurement error in biomarker trajectories
Machine LearningIdentify complex predictive patternsCan incorporate multiple biomarkers and clinical variables

When applying these methods, researchers should consider that while PFDN5 and anti-PFDN5 antibody levels demonstrated no correlation with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) in previous studies , they showed significant predictive value for uveitis development. This suggests these biomarkers have specificity for particular disease manifestations rather than general disease activity.

What are the promising applications of anti-PFDN5 antibodies beyond biomarker detection?

Beyond their established role as biomarkers, anti-PFDN5 antibodies offer several promising research and therapeutic applications:

  • Mechanistic investigations:

    • Probing the protective function of PFDN5 against apoptosis

    • Understanding protein folding mechanisms in neurodegenerative and inflammatory diseases

    • Investigating chaperone network interactions

  • Therapeutic development:

    • Design of antibody-based therapeutics targeting the PFDN5 pathway

    • Development of strategies to enhance PFDN5's protective effects

    • Creation of screening platforms for compounds that modulate PFDN5 function

  • Imaging applications:

    • In vivo imaging of PFDN5 expression in disease models

    • Tracking protein misfolding events in tissues

  • Structure-function relationships:

    • Investigation of PFDN5's role in different cellular compartments

    • Understanding how genetic disruption of PFDN5 leads to retinal degeneration

Research has demonstrated that genetic disruption of PFDN5 in mice causes retinal degeneration , suggesting that understanding and potentially manipulating this pathway could have significant implications for retinal diseases beyond uveitis.

How might epitope mapping and antibody engineering approaches improve next-generation antibodies against PLD5/PFDN5?

Advanced epitope mapping and antibody engineering strategies offer pathways to develop improved research and therapeutic antibodies:

  • Comprehensive epitope landscape mapping:

    • Creation of epitope atlases for PLD5/PFDN5

    • Identification of functionally significant epitopes

    • Correlation of epitope targeting with functional outcomes

  • Rational antibody design approaches:

    • Structure-guided optimization of complementarity-determining regions

    • Framework modifications to enhance stability

    • Affinity maturation focusing on association rate improvement

  • Novel antibody formats:

    • Bispecific antibodies targeting multiple epitopes

    • Intrabodies for intracellular targeting

    • Fragment-based approaches for improved tissue penetration

  • Translational optimization:

    • Humanization of research antibodies for therapeutic development

    • Fc engineering for desired effector functions

    • Half-life extension strategies

Recent research with PfRH5 antibodies demonstrated that identifying a germline IgG gene combination resulting in exceptionally potent antibody classes can guide rational design of next-generation vaccines and prophylactic antibodies . Similar approaches could be applied to develop optimized anti-PLD5/PFDN5 antibodies with enhanced specificity and functional properties.

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