Phosphodiesterase (PDE) Assay Service
Background
Phosphodiesterases (PDEs) are a family of enzymes (PDE1 through PDE11) that degrade cyclic nucleotides—cAMP and cGMP—key second messengers in immune cell function. Elevated PDE activity within tumors and infiltrating immune cells can suppress T cell proliferation, skew macrophages toward immunosuppressive phenotypes, and impair antigen-presenting cell maturation. For example, PDE4 inhibition has been shown to restore T cell responsiveness and reduce regulatory T cell-mediated suppression. Likewise, PDE5 modulation can shift myeloid-derived suppressor cells (MDSCs) toward a less suppressive state.
Understanding PDE enzyme kinetics and modulator effects is therefore critical to immuno-oncology research and drug discovery. Creative Biolabs offers a robust PDE assay platform designed to quantitatively assess isoform-specific PDE activity, inhibitor potency, and downstream immunological effects, supporting efforts to restore immune function in cancer target validation and lead optimization studies.
Featured Services at Creative Biolabs
We provide carefully designed assay formats to support diverse research goals, emphasizing relevance to tumor immunity:
Fluorescent PDE Activity Assay
Detection of PDE enzymatic cleavage using fluorescent analogs of cAMP/cGMP with high dynamic range and speed.
Radiometric PDE Hydrolysis Assay
Gold-standard sensitivity measurement using [³H]-labeled cyclic nucleotides, ideal for low-abundance isoform profiling.
Cell-Based Reporter Assays
Tumor-immune co-culture systems using cAMP/cGMP reporters to monitor intracellular second-messenger changes following treatment.
Isoform Panel Screening
Assess activity of PDE1–PDE11, with a focus on immune-relevant isoforms like PDE4 and PDE7 in T cells, and PDE5 in MDSCs.
cAMP/cGMP Quantification via ELISA or LC-MS
Direct measurement of cyclic nucleotide levels in cell lysates or supernatants after genetic or pharmacological perturbation.
High-Throughput Inhibitor Profiling
Automated screening workflows in 96- or 384-well format for dose-response curves, SAR campaigns, and lead validation pipelines.
Each assay is optimized for sensitivity (signal-to-background >10) and reproducibility (Z' >0.75), and can be adapted to both purified enzymes and cell-based models.
Workflow
Highlights
- Immune-Relevant Pathway Insight – Direct connection between PDE activity and immune cell function in tumors
- Wide Isoform Coverage – PDE1–PDE11, with a focus on immune-modulating subtypes PDE4, PDE5, PDE7
- Multi-Modal Detection – Fluorescence, radiometric, ELISA, reporter systems available per project needs
- Adaptable to Primary and Co‑culture Models – Supports analysis in PBMCs, macrophages, T cells, and tumor models
- High Throughput & Data Integrity – Designed for compound screening and immune phenotype correlation with validated QC metrics
FAQs
Q1: Which PDEs are most important to study in tumor immunology contexts?
A1: Primarily PDE4 (cAMP-specific) in T cells, PDE5 (cGMP-specific) in MDSCs and macrophages, and PDE7 associated with Treg function.
Q2: Can I use primary human T cells in these assays?
A2: Yes. Our protocols support tumor-immune cocultures and primary immune cell assays with modular formats.
Q3: How are downstream immune activations monitored?
A3: We can integrate readouts such as cytokine release (e.g. IFN‑γ, IL‑2), activation marker expression, or proliferation assays.
Q4: Do you support inhibitor screening?
A4: Yes. We accommodate compound libraries, pre-clinical candidates, and SAR experiments—with dose–response, IC₅₀, and pathway readouts.
Q5: What is the sensitivity of your PDE assays?
A5: Fluorescent formats detect nanomolar substrate conversion, radiometric assays provide sub-picomolar resolution, ensuring versatility.
Drive Immune Restoration Strategies with Cyclic Nucleotide Assays
Creative Biolabs combines enzymology, immunology, and drug discovery expertise to deliver PDE profiling services tailored for oncology research. Whether mapping enzyme kinetics or screening immunomodulatory compounds, we provide help from experimental design through data interpretation.
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