PET10 Antibody

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Description

Nature and Function of PET10 Antibody

PET10 Antibodies are immunological tools developed to study Pet10p, a yeast lipid droplet protein identified as a functional homolog of mammalian perilipins. These antibodies enable the detection, localization, and quantification of Pet10p in Saccharomyces cerevisiae models .

Key characteristics of Pet10p:

  • Molecular weight: ~14 kDa (full-length protein observed in TG-rich droplets) .

  • Contains a PAT (Perilipin, ADRP, TIP47) domain, a hallmark of lipid droplet-stabilizing proteins .

  • Stabilizes lipid droplets by preventing aggregation, fusion, and enzymatic degradation .

Applications in Research

PET10 Antibodies have been instrumental in uncovering Pet10p’s mechanisms:

Localization Studies

  • Pet10p binds specifically to TG-rich lipid droplets, as confirmed by fluorescence tagging (Pet10-tdTomato) and immunoblotting .

  • Localization is absent in strains lacking TG-synthesizing enzymes (e.g., DGA1 or LRO1 knockout mutants) .

Functional Interactions

  • Seipin and Fit2 synergy: Deletion of PET10 exacerbates lipid droplet abnormalities in sei1Δ or yft2Δscs3Δ mutants, with supersized droplets appearing in >80% of cells (vs. 3.7% in pet10Δ alone) .

  • TG synthesis regulation: PET10-null strains show 30–35% reduced TG accumulation and impaired Dga1p (diacylglycerol acyltransferase) activity .

Protein Stability Assays

  • Cycloheximide chase experiments revealed Pet10p degradation in TG-deficient strains (e.g., ARE2 mutants), confirming TG stabilizes Pet10p .

Table 1: Pet10p Stability in TG-Deficient Strains

StrainTG ContentPet10p Stability (Half-Life)
Wild-typeNormalStable (>2 hours)
DGA1 mutantLowStable (>2 hours)
ARE2 mutantAbsentRapid degradation (<1 hour)

Source: Cycloheximide-treated Pet10-TAP strains .

Table 2: Genetic Interactions Affecting Droplet Morphology

Genotype% Cells with Supersized Droplets
DGA1|pet10Δ3.7%
DGA1|sei1Δpet10Δ80.2%
DGA1|yft2Δscs3Δpet10Δ24.0%

Source: Microscopic analysis of oleate-cultured yeast .

Quantitative Estimates

  • Copy number: 8,000–34,000 Pet10p molecules per lipid droplet .

  • Surface coverage: Pet10p occupies 15–86% of the droplet surface area, calculated using immunoblot-derived protein quantities and spherical droplet models .

Technical Validation of PET10 Antibodies

  • Specificity: Anti-Pet10p antibodies (e.g., HBH-tagged Pet10-TAP) show no cross-reactivity with other lipid droplet proteins like Sps4p .

  • Limitations: Pet10p solubility issues during extraction necessitate sequential protein recovery steps for accurate quantification .

Implications for Perilipin Biology

PET10 Antibody studies revealed conserved perilipin functions beyond lipase protection, including:

  • Droplet assembly: Collaboration with seipin and Fit2 during nascent droplet formation .

  • Enzyme regulation: Maintenance of Dga1p activity and ER-droplet trafficking .

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
PET10 antibody; YKR046C antibody; Protein PET10 antibody; Petite colonies protein 10 antibody
Target Names
PET10
Uniprot No.

Target Background

Gene References Into Functions
  1. The core functions of Pet10p and other perilipins extend beyond protection from lipases. They also include the preservation of droplet integrity and collaboration with seipin and Fit2 in droplet assembly and maintenance. PMID: 28801319
Database Links

KEGG: sce:YKR046C

STRING: 4932.YKR046C

Subcellular Location
Lipid droplet. Membrane; Peripheral membrane protein.

Q&A

What is PET10 Antibody and how does it function in immunoPET imaging?

PET10 Antibody refers to antibodies engineered for Positron Emission Tomography applications, specifically designed to target tumor-associated antigens while being labeled with radioisotopes such as 124I or 89Zr. These antibodies function by specifically binding to their target antigens (such as CEA, CA9, or other tumor markers) in vivo, allowing for non-invasive visualization of target expression through PET imaging. The radioisotope conjugated to the antibody emits positrons that are detected by PET scanners, enabling precise localization and quantification of antibody accumulation in target tissues .

What are the key considerations for antibody characterization prior to immunoPET applications?

Proper antibody characterization is critical before proceeding with immunoPET applications. This characterization should document: (1) specific binding to the target protein; (2) binding capability to the target protein within complex protein mixtures; (3) absence of binding to non-target proteins; and (4) performance validation under the specific experimental conditions to be employed . Inadequate characterization can lead to misleading results and wasted resources, as approximately 50% of commercial antibodies fail to meet basic characterization standards, resulting in estimated financial losses of $0.4–1.8 billion annually in the US alone .

How should researchers prepare cell samples for flow cytometric validation of PET10 Antibody binding?

For flow cytometric validation, researchers should: (1) ensure cell viability exceeds 90% by performing a viability check before sample preparation; (2) use appropriate cell concentrations (105-106 cells) to prevent flow cell clogging while obtaining clear resolution; (3) maintain cells on ice throughout the protocol to prevent internalization of membrane antigens; (4) use PBS with 0.1% sodium azide as additional protection against antigen internalization; (5) consider using higher initial cell counts (e.g., 107 cells/tube) if the protocol involves multiple washing steps to compensate for cell loss; and (6) implement proper controls to distinguish between specific and non-specific binding .

How do antibody fragment size and structure influence pharmacokinetics and tumor penetration in immunoPET?

Antibody size and structure significantly impact both clearance rates and tumor penetration. Full-size antibodies (150kDa) typically require 4-7 days post-injection before achieving high-contrast images due to their extended blood circulation time. In contrast, engineered antibody fragments demonstrate more favorable pharmacokinetics for imaging:

These pharmacokinetic differences allow researchers to select the optimal antibody format based on the specific imaging timeframe and sensitivity requirements.

What quantitative methods can be used to correlate immunoPET signals with antigen expression levels?

Quantitative correlation between immunoPET signals and antigen expression requires rigorous methodological approaches. Clinical studies with 124I-huA33 have demonstrated a linear relationship (r2 = 0.75) between tumor antigen density and antibody uptake measured by PET . This correlation can be established through:

  • Digital autoradiography of biopsy samples to quantify antibody accumulation

  • Immunohistochemistry to assess antigen expression levels

  • Statistical correlation analysis between PET signals and quantitative tissue measurements

For example, studies with 124I-cG250 showed strong correlation between PET measurements and antibody uptake in biopsy samples (rs = 0.88, P ≤ 0.001) when normalized for residual blood activity . These quantitative approaches are essential for validating immunoPET as a reliable biomarker of antigen expression.

How can researchers address potential false positive or negative results in immunoPET studies?

Addressing false results in immunoPET requires systematic validation approaches:

  • For false positives:

    • Implement competitive binding assays with unlabeled antibody to confirm binding specificity

    • Use isotype control antibodies labeled with the same radioisotope

    • Verify results in antigen-negative tissue/tumor controls

    • Perform immunohistochemistry validation on biopsied tissues

  • For false negatives:

    • Optimize antibody dose to avoid saturation effects that may mask positive signals

    • Adjust imaging time points to account for variable pharmacokinetics

    • Consider alternate radioisotopes with different clearance properties

    • Evaluate potential interference from circulating antigens or antigen shedding

  • For both scenarios:

    • Conduct flow cytometry to validate antibody binding to target cells prior to in vivo studies

    • Ensure antibody epitope is accessible in the native conformation of the target protein

What methodological approaches can distinguish between antibody binding to soluble versus membrane-bound target antigens?

Distinguishing between binding to soluble versus membrane-bound antigens requires specialized methodologies:

  • Compartmental analysis: Comparing radiotracer kinetics in blood pool versus tissue compartments to differentiate bound versus free antibody

  • Epitope recognition considerations: Understanding whether antibodies target extracellular or intracellular domains is critical. Antibodies recognizing extracellular N-terminal epitopes can be used on intact, unfixed cells, while those targeting intracellular C-terminal epitopes require cell fixation and permeabilization

  • Differential clearance assessment: Monitoring the clearance rates from various compartments can help distinguish between binding to soluble versus membrane-bound antigens

  • Pre-blocking studies: Pre-administration of unlabeled antibody can help determine the contribution of binding to soluble antigens versus tissue-bound targets

What controls are essential in immunoPET experimental design for valid interpretation?

Essential controls for immunoPET studies include:

  • Isotype controls: Radioisotope-labeled non-specific antibodies of the same isotype to assess non-specific uptake

  • Antigen-negative controls: Studies in models lacking the target antigen to confirm specificity

  • Competitive inhibition controls: Co-administration of excess unlabeled antibody to block specific binding sites

  • Dose escalation studies: Testing multiple antibody doses to identify optimal signal-to-noise ratios and assess potential saturation effects

  • Temporal controls: Imaging at multiple time points to determine optimal imaging windows based on pharmacokinetics

  • Antibody fragment controls: Comparing intact antibodies with fragments to distinguish between specific binding and enhanced permeability and retention effects

How can researchers optimize antibody dose for maximum sensitivity in immunoPET imaging?

Optimizing antibody dose requires balancing several competing factors:

  • Specific activity consideration: Higher specific activity (radioisotope-to-antibody ratio) generally improves sensitivity but may affect antibody function

  • Mass dose titration: Perform dose-escalation studies to identify the minimum effective dose that provides adequate target binding without saturating receptors

  • Target expression assessment: Pre-estimate target density to inform dose selection; higher expression levels may require higher antibody doses

  • Pharmacokinetic profiling: Match antibody dose with clearance rate and imaging timepoint; smaller fragments with rapid clearance may require different dosing strategies than intact antibodies

  • Signal-to-background optimization: Test multiple doses to identify optimal tumor-to-background ratios, particularly for targets also expressed at low levels in normal tissues

What strategies can minimize non-specific binding when using PET10 Antibody for in vivo imaging?

Minimizing non-specific binding in immunoPET requires multiple strategies:

  • Pre-screening antibodies: Thoroughly validate antibody specificity through flow cytometry and immunohistochemistry before radiolabeling

  • Blocking strategies: Pre-administer non-radiolabeled antibodies or fragments to saturate non-specific binding sites

  • Protein engineering: Modify antibody structure to reduce Fc receptor interactions or other sources of non-specific binding

  • Formulation optimization: Include carrier proteins or other excipients to reduce non-specific interactions

  • Purification enhancement: Implement additional purification steps after radiolabeling to remove aggregated or damaged antibody molecules that might contribute to non-specific binding

  • Timing optimization: Select imaging timepoints that allow sufficient clearance of non-specifically bound antibody while maintaining target-specific signal

How should researchers interpret discrepancies between immunoPET quantification and ex vivo antibody biodistribution?

Discrepancies between in vivo imaging and ex vivo biodistribution may arise from several factors:

  • Partial volume effects: PET has limited spatial resolution that can underestimate uptake in small structures; correction algorithms should be applied

  • Temporal differences: Ex vivo measurements represent a single timepoint whereas PET can capture dynamic changes

  • Perfusion versus binding: PET signal may reflect both specific binding and non-specific retention due to vascular permeability

  • Metabolite contributions: Radiometabolites may contribute to the PET signal but may not be accounted for in ex vivo antibody quantification

Researchers should address these discrepancies through:

  • Standardized uptake value (SUV) correlation with ex vivo biodistribution

  • Kinetic modeling to separate perfusion from specific binding components

  • Spatial co-registration with anatomic imaging (CT/MRI) for accurate region definition

  • Validation across multiple experimental models before clinical translation

What methods can effectively distinguish between specific binding and enhanced permeability and retention effects in tumor models?

Distinguishing specific binding from enhanced permeability and retention (EPR) effects requires:

  • Competitive binding studies: Co-administration of excess unlabeled antibody to block specific binding sites while maintaining EPR effects

  • Isotype control comparisons: Using non-specific antibodies of the same size and pharmacokinetic properties to isolate EPR contribution

  • Correlation analysis: Relating immunoPET signal to quantitative immunohistochemistry measurements of target expression

  • Kinetic analysis: Applying compartmental modeling to separate binding components from non-specific accumulation

  • Target modulation studies: Demonstrating changes in antibody accumulation following experimental up- or down-regulation of the target antigen

How does the presence of soluble antigens in circulation affect quantitative analysis of immunoPET data?

Circulating soluble antigens can significantly impact quantitative immunoPET analysis through:

  • Competitive binding: Soluble antigens can bind radiolabeled antibodies in circulation, reducing available antibody for binding to tissue-bound targets

  • Altered biodistribution: Antibody-antigen complexes formed in circulation may have different clearance patterns than free antibody

  • Background signal elevation: Circulating complexes can increase blood pool activity, reducing target-to-background ratios

Mitigation strategies include:

  • Pre-treatment with unlabeled antibody to clear circulating antigens

  • Kinetic modeling to account for contribution of circulating complexes

  • Timing optimization to allow for clearance of antibody-antigen complexes

  • Development of antibodies that preferentially bind membrane-bound versus soluble forms of the antigen

What are the current limitations of translating preclinical immunoPET findings to clinical applications?

Key limitations in clinical translation include:

  • Immunogenicity concerns: Preclinical antibodies may require humanization to avoid immune responses in patients

  • Target expression differences: Target expression patterns often differ between animal models and human disease

  • Radiation dosimetry: Favorable dosimetry in animal models may not translate directly to humans due to differences in organ sizes and clearance rates

  • Specificity validation: Clinical validation of binding specificity is more challenging than in controlled preclinical settings

  • Regulatory complexities: Each antibody-radioisotope combination typically requires separate regulatory approval

  • Reproducibility challenges: The variability in antibody quality and characterization leads to significant reproducibility issues and financial losses ($0.4–1.8 billion annually in the US)

  • Clinical performance validation: Early clinical results show promise, as demonstrated by a phase III trial using 124I-cG250 for detection of clear cell carcinoma, which reported higher specificity (87% vs. 47%) and sensitivity (86% vs. 76%) compared to CT alone

How are dual-modality probes combining immunoPET with optical imaging advancing molecular imaging capabilities?

Dual-modality probes combining immunoPET with optical imaging offer several advantages:

  • Complementary information: PET provides whole-body distribution and quantitative uptake, while optical imaging offers higher spatial resolution for superficial tissues

  • Surgical guidance: Pre-operative PET imaging followed by intraoperative fluorescence guidance using the same antibody construct

  • Validation approach: Optical imaging can serve as an independent validation of PET findings at the microscopic level

  • Throughput enhancement: Optical imaging allows higher throughput screening of experimental models before more resource-intensive PET studies

Current approaches include:

  • Antibodies dual-labeled with radioisotopes and near-infrared fluorophores

  • Co-administration of radiolabeled and fluorescently labeled antibody fractions

  • Development of modular antibody systems that can be labeled with either imaging agent

What innovations in antibody engineering are addressing the pharmacokinetic limitations of current immunoPET approaches?

Recent innovations addressing pharmacokinetic limitations include:

  • Site-specific conjugation: Precisely controlling radioisotope placement to maintain immunoreactivity and optimize in vivo behavior

  • Pretargeting strategies: Separating antibody administration from radioisotope delivery using bioorthogonal click chemistry to overcome the long circulation time of intact antibodies

  • Engineered fragments: Development of minibodies and other fragments that demonstrate better tumor targeting than traditional F(ab')2 fragments, with tumor uptake of 29.1% ID/g

  • Albumin-binding domains: Addition of albumin-binding moieties to extend the circulation of smaller fragments without compromising tumor penetration

  • Bispecific constructs: Engineering antibodies that simultaneously bind tumor antigens and radioisotope-bearing small molecules for improved imaging kinetics

These engineering approaches enable same-day or next-day imaging without sacrificing targeting efficiency, addressing one of the major limitations of traditional antibody-based PET imaging.

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