Creative Biolabs-Immuno-oncology

Orthogonal Molecular Assay Service for Cell Cycle Program

Targeting the cell cycle machinery requires an analytical depth that standard assays cannot provide. At Creative Biolabs, we specialize in de-risking the discovery of modulators for challenging targets such as WIP1 (PPM1D). Our orthogonal approach ensures that your candidates are validated through multiple independent physical principles, effectively eliminating the chemical interference and substrate bias that often stall drug development programs. By accurately profiling the "gatekeeper" functions of the p53-Mdm2-WIP1 axis, we provide the mechanistic clarity needed to transition from a library hit to a clinical candidate.

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The Challenge of Phosphatase and Kinase Modulation

Creative Biolabs addresses the complexities of targeting WIP1 (PPM1D), the central gatekeeper of the p53-Mdm2 autoregulatory loop. Traditional static assays often fail because WIP1 dephosphorylates Mdm2 at Ser395, accelerating p53 degradation through dynamic feedback. Our platform accounts for docking-site complexity by moving beyond small-molecule surrogates to evaluate C-terminal phosphoprotein recognition. Furthermore, we resolve cell-cycle dependency, as WIP1 activity is inhibited during mitosis via CDK1-mediated phosphorylation. This high-resolution approach ensures your lead candidates maintain potency across varying mitotic indices.

Comprehensive Solutions for Cell Cycle Drug Discovery

At Creative Biolabs, our service goes beyond simple data generation. We provide a tailored ecosystem of molecular tools designed to address the specific biochemical hurdles of cell cycle signaling. Our offering includes:

Substrate-Directed Screening Platforms

We offer custom-designed phosphopeptide libraries that mimic the native phosphorylation states of critical DNA damage response (DDR) proteins. By utilizing native-like substrates rather than artificial chromophores, we ensure that the hits you identify possess high translational potential.

Allosteric Site Mapping

Our orthogonal mass spectrometry (MS)-fluorescence approach is uniquely suited for identifying non-competitive inhibitors. We specialize in detecting compounds that bind to distal C-terminal docking domains, a critical requirement for selective phosphatase modulation.

Dynamic PTM Profiling

Cell cycle enzymes are heavily regulated by post-translational modifications (PTMs). We offer specialized assays to evaluate how kinase/phosphatase activity is altered by site-specific phosphorylation, acetylation, or ubiquitination.

Kinetic Mechanism-of-Action (MOA) Studies

We provide detailed resolution of inhibitor kinetics, including Ki determination and residency time analysis. Understanding the "off-rate" of your lead compound is essential for predicting its in vivo efficacy and duration of action.

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Comprehensive Workflow

Our service operates through a structured, multi-phase validation pipeline designed to maximize data reliability and biological relevance.

A simple procedure for orthogonal molecular assay service for cell cycle program. (Creative Biolabs Original)

Publication

This study validates a high-throughput, orthogonal approach for cell cycle analysis by comparing automated image cytometry with traditional flow cytometry. Using Jurkat and A549 cell lines, the research demonstrates a high correlation between these methods in quantifying G0/G1, S, and G2/M phases. The image-based method offers significant advantages for drug screening, including reduced cell loss and in situ monitoring of adherent cells, providing a robust, multi-parameter validation framework for cell cycle progression studies.

Fig.1 Cell cycle profiling and mechanistic insights from mouse and human cell models. (OA Literature)Fig.1 Comparative cell cycle analysis in mouse and human cellular models.1

Why Choose Us?

Creative Biolabs redefines molecular screening by moving beyond static assays to capture the dynamic regulation of the cell cycle. We implement state-specific enzymology, utilizing CDK1-phosphorylated enzymes to evaluate inhibitors against specific post-translational modified states present during the G2/M transition. Our orthogonal platform eliminates "false progressors" by correlating mass-based readouts with red-shifted fluorescence, ensuring high-fidelity leads. Furthermore, we specialize in docking-domain profiling, identifying modulators that disrupt distal interactions for superior selectivity. With Z'-factors exceeding 0.7, our robust platforms provide the statistical rigor necessary for high-stakes drug discovery.

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FAQs

Why is MS required if I already have high-quality fluorescent data?

Fluorescent interference is a primary cause of HTS failure. MS provides a label-free, mass-based confirmation that is entirely immune to the optical artifacts inherent in many chemical libraries.

How do you account for cell-cycle-dependent enzyme modifications?

We offer "state-specific" assays. We can utilize enzymes that have been pre-modified to mimic specific phases like mitosis, ensuring your leads work during the most vulnerable cellular windows.

Can your assay detect allosteric inhibitors that target docking sites?

Yes. By synthesizing substrates that include native distal docking motifs, our orthogonal molecular assay service identifies modulators that disrupt enzyme-substrate recognition at sites far from the catalytic center.

Customer Review

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Cell Cycle Progression Assessment Service

Creative Biolabs utilizes flow cytometry to provide precise, cell-by-cell analysis of cell cycle dynamics. This service accurately maps transitions to evaluate therapeutic impact on growth.

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How to Contact Creative Biolabs

Creative Biolabs provides the industry's most sophisticated orthogonal molecular assay service for cell cycle program, ensuring that drug discovery is supported by physiological accuracy, label-free validation, and deep mechanistic insight.

For detailed project discussions and customized quotes, please reach out to our senior scientific team.

Reference

  1. Riba, Andrea, et al. "Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning." Nature communications 13.1 (2022): 2865. Distributed under Open Access license CC BY 4.0, without modification. https://doi.org/10.1038/s41467-022-30545-8

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