Creative Biolabs-Immuno-oncology

Genomic Alteration Assessment Services for Cell Cycle Dysregulation

Creative Biolabs delivers actionable genomic intelligence, transforming raw biological data into strategic therapeutic roadmaps by identifying molecular drivers of proliferation, from chromosomal translocations to acquired resistance mutations. We navigate the "cell cycle-death axis", where TP53 or RB1 mutations drive division while silencing apoptosis. Our platform integrates multi-omics data to provide granular evidence for combination therapies, such as pairing cell cycle inhibitors with DNA damage response (DDR) agents or BCL-2 antagonists, reducing clinical risk through precise molecular stratification.

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The Molecular Drivers: Why Assessment Matters

The transition from quiescence to active division is governed by a cyclin-CDK relay, which, when compromised, drives unbridled proliferation. Genomic alterations, translocations, and overexpress of cyclin D1, while copy number variations involving CDK4 amplifications or CDKN2A deletions disable tumor suppression. Pathogens like HPV further hijack this system via E6 and E7 oncoproteins that degrade p53 and pRb. These events collapse the cell cycle-death axis, where TP53 mutations eliminate checkpoints and apoptosis, sustaining survival despite high replication stress and genomic instability.

Integrated Precision Engineering Solutions

RB-E2F Activity Profiling

Creative Biolabs provides specialized RB-E2F activity profiling services to evaluate the critical G1/S transition. We deliver precise quantification of RB phosphorylation and E2F-mediated gene expression, accelerating the development of CDK inhibitors and oncology therapeutics.

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Cyclin/CDK Activity Profiling

Creative Biolabs offers specialized Cyclin/CDK activity profiling services to quantify enzymatic shifts during cell cycle transitions. Utilizing high-sensitivity kinetic assays and phosphorylation analysis, we deliver precise data on checkpoint regulation and drug-target interactions.

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Replication Licensing & S-Phase Checkpoint Assessment

Creative Biolabs provides expert replication licensing and S-phase checkpoint assessment to monitor genomic stability. We analyze MCM complex loading and ATR-Chk1 signaling to evaluate how drug candidates modulate DNA replication and intra-S phase control.

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G2/M Checkpoint & Mitotic Fidelity Mapping

Creative Biolabs provides G2/M checkpoint and mitotic fidelity mapping services, utilizing high-resolution imaging and multi-omics to monitor chromosomal stability. We deliver precise data on mitotic defects, accelerating targeted oncology therapies.

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Ubiquitin/SUMO mediated Cell Cycle Control Analysis

Creative Biolabs provides specialized cell cycle control analysis, mapping E3 ligase substrates, and PTM dynamics. We deliver high-resolution profiling of proteasomal degradation and checkpoint stability to accelerate anticancer drug discovery.

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DDR-Checkpoint Network Modeling

Creative Biolabs provides DDR-checkpoint network modeling services, utilizing high-fidelity computational modeling to map DNA repair and checkpoint interactions. We deliver predictive insights into synthetic lethality and therapeutic vulnerabilities, accelerating precision oncology drug development.

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Comprehensive Solutions

To meet the diverse needs of global biopharmaceutical leaders, Creative Biolabs provides a modular suite of assessment services.

Comprehensive Cell Cycle Gene Panels

Custom-designed NGS panels targeting the complete Rb-E2F pathway, including CDK4/6, CCND1/2/3, CDKN2A/B, and CDKN1A/B. These panels are optimized for ultra-high depth to detect subclonal mutations that standard assays miss.

Host-Pathogen Interaction Mapping

A specialized service for infection-associated oncology. We utilize dual-sequencing protocols to detect viral integration (HPV, HBV, EBV) and quantify the expression of viral oncoproteins (E6/E7, HBx) that disable host checkpoints.

Aneuploidy & Chromosomal Instability (CIN) Profiling

Advanced structural variant analysis to quantify large-scale genomic rearrangements and copy number burdens that drive aggressive, proliferative phenotypes and therapeutic evasion.

Predictive Systems Biology Suite

Beyond raw data, we offer computational modeling services that simulate the "cell-to-cell" variability of mitosis. This allows clients to predict drug efficacy and optimize dosing schedules through deterministic and stochastic paradigms.

Longitudinal Resistance Monitoring

Sequential assessment of tumor evolution during clinical trials. We identify "emergent" mutations, such as acquired RB1 loss or CCND1 amplification, providing the data necessary for pivoting to combination strategies.

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Workflow

Our service framework is designed to bridge the gap between complex biological samples and research decision-making.

A simple procedure for genomic alteration assessment services for cell cycle dysregulation. (Creative Biolabs Original)

Publication

This comprehensive review examines computational models of the cell cycle and their critical role in advancing cancer treatment strategies. It systematically compares deterministic and stochastic, single-cell and population, as well as mechanistic and abstract modeling paradigms, highlighting their respective strengths and applications. These models provide essential insights into cell cycle dysregulation in tumors, enabling optimization of drug efficacy, overcoming resistance, and personalizing therapeutic interventions to bridge computational systems biology with clinical oncology.

Fig.1 The interplay between cell cycle regulation and DNA damage response. (OA Literature)Fig.1 Cell cycle regulation and DNA damage response as coordinated genomic safeguards. 1

Why Choose Us?

With over two decades of experience, Creative Biolabs stands at the intersection of deep-bench science and cutting-edge technology. We provide advanced systems biology by moving beyond static data to deliver dynamic, predictive models of cell cycle behavior. Our unique expertise in infection and oncology enables the specialized analysis of cell cycle dysregulation within the critical context of virus-associated cancers. All data is processed through elite bioinformatic pipelines to provide actionable insights, ensuring rapid research translation and high-precision therapeutic development. By integrating these multidisciplinary approaches, we empower researchers to navigate complex biological landscapes, identifying unique vulnerabilities in the cell cycle-death axis for superior drug discovery outcomes.

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FAQs

How do you handle highly degraded FFPE samples?

We utilize specialized DNA repair enzymes and high-sensitivity library preparation kits optimized for fragmented inputs. This ensures high-depth coverage and accurate variant calling even from older, suboptimal research tissue blocks.

Can your service detect viral oncoproteins interfering with the cell cycle?

Yes. Our platform includes specific algorithms to detect viral DNA integration and assess the transcriptional impact of proteins like HPV E6/E7 or HBV-X on host p53 and pRb pathways.

What is the advantage of systems biology modeling over standard NGS?

 Standard NGS only identifies mutations; our modeling simulates how those mutations affect drug response in a dynamic environment. This provides a predictive view of potential resistance mechanisms and efficacy outcomes.

Customer Review

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Tumor Cell Panel Screening Service

Creative Biolabs offers tumor cell panel screening across various cancer types. Our curated lines mirror human tumor heterogeneity, facilitating precise drug screening and molecular mechanism studies.

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How to Contact Creative Biolabs

The path to precision medicine is paved with high-quality genomic data and predictive modeling. By understanding the specific alterations, viral interactions, and transcriptional networks driving cell cycle dysregulation, you can unlock more effective, durable, and personalized treatments.

Contact Creative Biolabs today to discuss how our genomic alteration assessment services can accelerate your development programs.

Reference

  1. Ma, C., and E. Gurkan-Cavusoglu. "A comprehensive review of computational cell cycle models in guiding cancer treatment strategies." NPJ Syst Biol Appl 10.1 (2024): 71. Distributed under Open Access license CC BY 4.0, without modification. https://doi.org/10.1038/s41540-024-00397-7

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