PAP18 Antibody

Shipped with Ice Packs
In Stock

Description

HPV18 E7 Antibody (e.g., Clone 8E2)

The monoclonal antibody ab100953 [8E2] (Abcam) specifically targets the E7 oncoprotein of human papillomavirus type 18 (HPV18), a high-risk HPV strain linked to cervical and oropharyngeal cancers .

Key Features:

  • Applications: Immunoprecipitation (IP), ELISA, Western blot (WB), and immunofluorescence (IF) .

  • Specificity: Recognizes recombinant and endogenous HPV18 E7 protein (predicted band size: 12 kDa) .

  • Validation: Detects HPV18 E7 in transfected U2OS cells and native HPV18 E7 in HeLa cells .

Clinical Relevance:

HPV18 E7 antibodies are critical for:

  • Diagnosis: Identifying HPV18-driven cervical intraepithelial neoplasia (CIN) and cancers .

  • Research: Studying HPV oncogenesis and evaluating therapeutic vaccines .

Prostatic Acid Phosphatase (PAP)-Targeting Antibodies

PAP is a prostate cancer-associated antigen used in immunotherapies. While "PAP18" is not a recognized target, studies highlight:

Therapeutic Antibodies and Vaccines:

  • Sipuleucel-T: An FDA-approved PAP-targeting vaccine for castration-resistant prostate cancer (CRPC) .

  • MutPAP42mer Vaccine: A mutated PAP peptide vaccine that enhances cytotoxic T-cell responses in preclinical models .

Antibody Characterization:

  • Monoclonal Anti-PAP Antibodies: Subtypes IgG1 and IgM show higher specificity for PAP compared to polyclonal antibodies .

  • Diagnostic Utility: Detected in serum for monitoring prostate cancer progression .

HPV L1 Antibodies (CER818)

CER818 is a high-sensitivity HPV L1 antibody used for detecting high-risk HPV strains (e.g., HPV16, 18, 31, 33) .

Performance Data:

DiagnosisSensitivity (Cutoff: 750 ng/mL)Specificity (Cutoff: 1000 ng/mL)
CIN1/2100%96.6% (Controls)
CIN386.6%95.0% (Controls)
Cervical Cancer82.4%97.5% (Controls)

Source:

Antibody Avidity and Memory B-Cell Responses

  • Quadrivalent HPV Vaccine: Increases antibody avidity for HPV16/18 and memory B-cell frequency in mid-adult men .

  • Avidity Correlation: HPV18 antibody avidity moderately correlates with antibody titers (ρ = 0.38, P < 0.001) .

Comparative Table: Key Antibody Types

TargetAntibody TypeApplicationClinical Relevance
HPV18 E7MonoclonalDiagnostics, ResearchCervical cancer detection
PAPPolyclonalImmunotherapy, MonitoringProstate cancer vaccines
HPV L1 (CER818)MonoclonalScreening, Vaccine evaluationHigh-risk HPV detection

Research Gaps and Future Directions

  • Standardization: Lack of universal protocols for HPV/PAP antibody validation .

  • Combination Therapies: Pairing PAP vaccines with checkpoint inhibitors to enhance efficacy .

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
PAP18 antibody; PAP30 antibody; At3g20500 antibody; K10D20.4 antibody; Purple acid phosphatase 18 antibody; EC 3.1.3.2 antibody
Target Names
PAP18
Uniprot No.

Target Background

Database Links

KEGG: ath:AT3G20500

STRING: 3702.AT3G20500.1

UniGene: At.24149

Protein Families
Metallophosphoesterase superfamily, Purple acid phosphatase family
Subcellular Location
Secreted.
Tissue Specificity
Expressed in roots, stems, leaves, flowers and siliques.

Q&A

What is PAP18 and what applications can PAP18 antibodies be used for?

PAP18 (Purple Acid Phosphatase 18) is a protein found in Arabidopsis thaliana (Mouse-ear cress), identified by UniProt Number Q9LJU7 . PAP18 antibodies are primarily used in plant research for:

  • Western blot (WB): For protein detection and quantification

  • ELISA: For quantitative antigen detection in solution

  • Immunohistochemistry: For localization studies in plant tissues

The antibody is typically available as a polyclonal preparation purified by Protein A/G from rabbit sources, showing reactivity against plant species .

What are the critical parameters for PAP18 antibody storage and handling?

PAP18 antibodies require specific storage conditions to maintain functionality:

  • Storage temperature: -20°C or -80°C for long-term preservation

  • Shipping conditions: Typically shipped with ice packs ("BLUE ICE")

  • Buffer composition: Most preparations are supplied in PBS with stabilizers

  • Aliquoting: Divide into single-use aliquots to avoid freeze-thaw cycles

  • Working dilution: Must be empirically determined for each application

Proper handling significantly impacts experimental reproducibility, especially for sensitive applications like immunohistochemistry.

How should researchers determine the appropriate working dilution for PAP18 antibodies?

Determining optimal working dilution requires systematic titration:

  • Initial range testing: Begin with manufacturer's recommended range (typically 1:100-1:1000 for polyclonal antibodies)

  • Titration series: Prepare 3-5 different dilutions spanning 1-2 orders of magnitude

  • Application-specific optimization:

    • For Western blot: 1:500-1:5000 is typical starting range

    • For ELISA: Usually more dilute, 1:1000-1:10000

    • For IHC: Generally more concentrated, 1:50-1:500

  • Signal-to-noise evaluation: Select the dilution that provides strongest specific signal with minimal background

Note that polyclonal antibodies like PAP18 generally require lower working dilutions than monoclonal antibodies for equivalent signal strength .

What validation strategies should be employed to confirm PAP18 antibody specificity?

Comprehensive validation includes multiple orthogonal approaches:

  • Positive/negative controls:

    • Positive: Arabidopsis thaliana tissue known to express PAP18

    • Negative: Non-plant tissue or knockout/knockdown models

  • Western blot validation:

    • Confirm single band at expected molecular weight

    • Conduct peptide competition assay to verify specificity

  • Orthogonal method correlation:

    • Compare protein expression with RNA expression data

    • Correlate with GFP-tagged protein localization

  • Cross-reactivity assessment:

    • Test against tissue from related species

    • Evaluate against proteins with similar domains

  • Batch-to-batch validation:

    • Compare performance between different antibody lots

    • Document lot-specific optimal working conditions

How can researchers optimize immunohistochemistry protocols for PAP18 detection in plant tissues?

Optimization strategies for plant IHC with PAP18 antibodies:

  • Fixation optimization:

    • Test multiple fixatives (4% paraformaldehyde, glutaraldehyde, etc.)

    • Optimize fixation duration (2-24 hours depending on tissue thickness)

  • Antigen retrieval methods:

    • Heat-induced epitope retrieval using citrate buffer (pH 6.0)

    • Enzymatic retrieval using proteinase K for heavily cross-linked tissues

  • Detection system selection:

    • PAP (peroxidase-anti-peroxidase) technique for amplified signal

    • Polymer-based detection for reduced background

  • Signal development optimization:

    • DAB (diaminobenzidine) concentration and incubation time

    • Counterstain selection for optimal contrast

  • Primary antibody conditions:

    • Incubation temperature (4°C overnight vs. room temperature)

    • Buffer composition (inclusion of blocking proteins, detergents)

ParameterStandard ConditionOptimization Range
Fixation4% PFA, 4 hours2-24 hours, 1-10% fixative
Antigen RetrievalCitrate buffer pH 6.0, 95°C, 20 minpH 3-9, 5-30 min
Primary Antibody Dilution1:1001:50-1:500
Incubation TimeOvernight at 4°C1 hour RT to 48h at 4°C

What are the most effective strategies for troubleshooting weak or absent signals when using PAP18 antibodies?

Systematic troubleshooting approach for signal optimization:

  • Antibody-related factors:

    • Verify antibody viability with positive control samples

    • Test increased concentration (decrease dilution)

    • Confirm epitope accessibility in your experimental conditions

  • Sample preparation issues:

    • Excessive fixation causing epitope masking

    • Inadequate permeabilization

    • Improper antigen retrieval method

  • Detection system problems:

    • Enzyme inhibition (especially with plant tissues containing peroxidases)

    • Secondary antibody incompatibility

    • Insufficient incubation times

  • Tissue-specific considerations:

    • High autofluorescence in plant tissues (try Sudan Black B treatment)

    • Endogenous biotin interference (use biotin-free detection systems)

    • High endogenous peroxidase activity (use additional blocking steps)

  • Systematic controls:

    • Omit primary antibody to assess background

    • Use known positive tissue to validate protocol

How can researchers design co-localization experiments using PAP18 antibodies with other markers?

Multi-label experimental design considerations:

What considerations should researchers make when selecting between monoclonal and polyclonal PAP18 antibodies?

Selection criteria based on experimental requirements:

FeaturePolyclonal PAP18 AntibodiesMonoclonal AlternativesBest For
Epitope RecognitionMultiple epitopesSingle epitopePolyclonal: Robust detection under variable conditions
Signal StrengthGenerally strongerMay require amplificationPolyclonal: Applications needing high sensitivity
SpecificityMay show cross-reactivityHighly specificMonoclonal: Applications requiring strict specificity
Batch ConsistencyHigher variabilityExcellent reproducibilityMonoclonal: Long-term studies requiring consistency
Application FlexibilityVersatile across methodsMay be technique-restrictedPolyclonal: Method development, multiple applications
CostGenerally lowerHigherCost-sensitive research
Post-translational ModificationsLess affected by PTMsMay fail if epitope is modifiedPolyclonal: When target protein undergoes various PTMs

For PAP18 detection in plant systems, polyclonal antibodies often provide advantages in detecting native protein conformations and withstanding various fixation protocols typical in plant histology .

How can PhIP-Seq techniques be leveraged for antibody epitope mapping and specificity characterization?

PhIP-Seq (Phage Immunoprecipitation Sequencing) represents an advanced approach for antibody characterization:

  • Epitope mapping workflow:

    • Generation of overlapping peptide library spanning PAP18 sequence

    • Phage display of these peptides on T7 phage surface

    • Immunoprecipitation with PAP18 antibody

    • Next-generation sequencing to identify bound peptides

  • Advantages for PAP18 research:

    • Unbiased, proteome-wide specificity profiling

    • Identification of potential cross-reactive targets

    • Determination of precise binding epitopes

    • High-throughput capability for screening multiple antibodies

  • Implementation strategy:

    • Design tiled peptide representation (typically 36aa with 24aa overlap)

    • Include positive and negative control antibodies

    • Perform parallel IP with pre-immune serum

    • Analyze enrichment ratios (IP vs. input) to identify specific binding

  • Data analysis approach:

    • Normalize gene counts in immunoprecipitation samples

    • Apply stringent criteria (e.g., >10-fold enrichment over controls)

    • Map binding peptides back to protein structure

    • Correlate with functional domains

PhIP-Seq has been successfully applied to characterize antibodies in various autoimmune conditions and could be adapted for plant antibody specificity testing .

What emerging technologies are enhancing PAP18 antibody design and engineering for research applications?

Recent technological advances improving antibody research tools:

  • Computational antibody design:

    • Ab initio design approaches like AbODE (Ab Initio Antibody Design using Conjoined ODEs)

    • Continuous differential attention techniques modeling latent interactions

    • Graph-matching networks for optimizing binding specifications

  • High-throughput selection platforms:

    • Phage display with multiple binding modes for enhanced specificity

    • Computational disentanglement of binding modes to discriminate similar ligands

    • Machine learning integration for predicting binding properties

  • Specificity engineering:

    • Custom specificity profile design for discriminating closely related antigens

    • Cross-specific and highly selective variant development

    • Biophysics-informed modeling to predict and mitigate off-target binding

  • Validation technologies:

    • Orthogonal validation through radioligand binding assays

    • Whole protein immunoprecipitation followed by Western blot

    • High-throughput sequencing for antibody repertoire analysis

These technologies enable development of increasingly specific research antibodies that can discriminate between closely related protein isoforms or post-translationally modified variants .

How should researchers interpret conflicting experimental results when using PAP18 antibodies across different assays?

Systematic approach to resolving discrepancies:

  • Epitope accessibility evaluation:

    • Different assays expose different protein conformations

    • Native vs. denatured conditions affect epitope availability

    • Post-translational modifications may mask epitopes in specific contexts

  • Protocol-specific considerations:

    • Western blot: Denatured proteins expose linear epitopes

    • ELISA: Proteins in solution may retain tertiary structure

    • IHC/ICC: Fixation methods significantly affect epitope preservation

  • Technical reconciliation strategies:

    • Compare antibody performance with orthogonal detection methods

    • Manipulate sample preparation to match conditions between assays

    • Use multiple antibodies targeting different epitopes

  • Documentation and validation:

    • Maintain detailed records of antibody lot numbers used

    • Document all protocol parameters for each experiment

    • Include positive and negative controls in all assay formats

  • Troubleshooting decision tree:

    • First validate antibody functionality in simplest assay format

    • Systematically vary one parameter at a time

    • Consider species/isoform differences that might affect results

What are the critical considerations for using PAP18 antibodies in quantitative analysis of protein expression?

Quantitative analysis requires rigorous standardization:

  • Sample preparation standardization:

    • Consistent extraction methods and buffer compositions

    • Precise protein quantification before analysis

    • Inclusion of loading controls appropriate for plant tissues

  • Technical factors affecting quantitation:

    • Linearity range determination for each antibody lot

    • Signal development time standardization

    • Image acquisition settings optimization

  • Normalization approaches:

    • Selection of appropriate housekeeping proteins for plant samples

    • Consideration of total protein normalization (e.g., Ponceau S staining)

    • Addition of spike-in controls for absolute quantification

  • Statistical considerations:

    • Determination of technical vs. biological variability

    • Power analysis to ensure adequate sample size

    • Appropriate statistical tests based on data distribution

  • Validation of quantitative findings:

    • Correlation with mRNA expression

    • Comparison with absolute quantification methods

    • Independent verification with alternative antibodies

This structured approach ensures reliable quantitative analysis of PAP18 expression across different experimental conditions and tissue types.

How can researchers effectively use PAP18 antibodies in studies of plant stress responses and environmental adaptation?

Experimental design for plant stress studies:

  • Time-course sampling strategy:

    • Establish baseline expression in normal conditions

    • Define appropriate time points based on stress type

    • Include recovery phase sampling when applicable

  • Tissue-specific analysis considerations:

    • Compare expression patterns between roots, shoots, leaves

    • Microdissection for cell-type specific responses

    • Whole-plant imaging for systemic response assessment

  • Multi-parameter experimental design:

    • Correlate protein expression with physiological parameters

    • Combine with transcriptomics for regulatory insights

    • Integrate with metabolomic analysis for functional context

  • Technical optimizations for stress studies:

    • Modified extraction protocols for stressed tissues

    • Adjustment of normalization methods under stress conditions

    • Controls for stress-induced changes in reference proteins

  • Data interpretation framework:

    • Distinguish adaptive from damage-related changes

    • Compare responses across different stress types

    • Relate to known stress signaling pathways in plants

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