Longevity Gene Regulatory Network (GRN) Analysis Services
Our service provides deep, predictive insight into aging mechanisms by applying sophisticated systems biology models and longevity GRN analysis. We quantify the loss of cellular robustness to define the precise tipping point between stable (youthful) and unstable (aged) states. This offers actionable intervention points—master regulators and failing network motifs—for targeted therapy. Creative Biolabs ensures your drug discovery focuses on high-impact targets that effectively restabilize the youthful homeostatic state.
Background Featured Services What We Can Offer Workflow Publication Why Choose Us FAQs Customer Review Related Services Contact Us
Moving Beyond Reductionism: A Systems-Level Approach to Lifespan Extension
GRNs are the complex, dynamic maps governing cellular function. Aging is fundamentally defined by the destabilization of these networks, pushing the cell from a stable, youthful state to an unstable, senescent, or diseased state. We focus on the link between declining gene expression control and upstream signaling failures. We quantify how dysregulation of major nutrient-sensing pathways (e.g., mTOR, AMPK) destabilizes downstream GRNs. Furthermore, we detect subtle changes in Topological Instability—alterations in the network's wiring caused by genetic damage or mutations—that profoundly shift network function toward a fast-aging state.
Our Featured Services
Key Longevity Gene Identification
We utilize advanced systems biology and GRN analysis to discover and validate novel, therapeutically relevant genes, accelerating your anti-aging and healthspan extension programs.
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Specific Deliverables and Solutions for Optimized Targeting
Quantified Network Stability
Receive a stability score mathematically defining the distance between the stable "health" and unstable "disease" attractor states, providing an objective metric for drug efficacy in silico.
Master Regulator Pinpointing
Identify transcription factor (TF) hubs responsible for systemic transcriptional dysregulation across aged cells, representing optimal therapeutic entry points.
Optimal Intervention Strategies
Get data-backed predictions on the type, timing, and magnitude of molecular intervention required to shift the aging network back toward a healthy trajectory.
Contact Creative Biolabs today to schedule a consultation on how our GRN analysis services can accelerate your path to discovery.
Workflow
Our end-to-end pipeline is meticulously designed for scientific rigor and maximal translational impact.
Publication
A systems-level GRN analysis in long-lived C. elegans used a novel "wisdom-of-the-crowds" inference pipeline to reveal a modular, bow-tie structure in the aging network. The functionally critical core layer is enriched with known and novel aging genes, including key regulator DAF-16/FOXO. This topological structure predicted gene function, leading to the discovery of 50 novel aging genes (86% with human orthologues). Mechanistic analysis of these genes, like the novel transcriptional regulator SUP-37, uncovered intricate relationships between fat metabolism and oxidative stress (SOD-3) in lifespan extension.
Fig.1 Aging modulators form a central hub in the GRN's input-core-output structure. 1
Why Choose Us?
Creative Biolabs is pioneering the integration of systems biology, deep learning, and longevity science to provide unparalleled target confidence. We offer predictive power via dynamic models and ordinary differential equations (ODEs) stability analysis to simulate interventions, aligning with data that targeting network stability is key to longevity. Our target specificity uses single-cell deep learning models to identify GRN breakdowns in critical cell types, reducing false positives. We provide an integrated systems view by comprehensively modeling transcriptional and signaling components via integrated single-cell multi-omics.
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FAQs
Q1: How does your approach differ from standard differential gene expression analysis?
A1: Differential expression tells you what genes change, but our GRN analysis tells you why and how the entire system is failing. We map the specific regulatory links, identify failing feedback loops, and mathematically simulate the loss of network stability.
Q2: Why is "network stability" so important for longevity drug discovery?
A2: Aging is a system-wide failure, not a single-gene problem. Published data indicate that interventions focused on stabilizing the core biological networks are far more effective for extending healthspan than simply reducing stress.
Q3: Can your deep learning models handle data from non-standard cell types or species?
A3: Yes. While our deep learning models are optimized for cell-type specificity, they are highly adaptable. We retrain or fine-tune models using your specific reference data and unique experimental context, ensuring the highest fidelity network inference for novel cell types or model organisms.
Customer Review
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Predictive Stability Analysis
The quantified attractor states derived from the ODE modeling were revolutionary. This allowed us to design a compound that aims to stabilize the healthy state, a far more powerful strategy than simple inhibition. - S. G. P***z
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Integrated Multi-Omics
The seamless integration of data provided a complete picture of age-related transcriptional dysregulation, from chromatin accessibility to gene expression. – J. L. A***a
Related Services
To ensure the success of your anti-aging project, Creative Biolabs offers complementary services that seamlessly follow our GRN analysis:
Integrative Genetic & Multi-Omic based Enhanced Target Identification Service
Creative Biolabs offers integrative multi-omic analysis to accelerate drug discovery, identify high-confidence targets, and reduce clinical risk, advancing precision medicine.
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DNA Damage Response (DDR) Targeting Assay Service
Creative Biolabs provides comprehensive genotoxicity assessment (Ames test, comet assay, etc.) to detect DNA damage and chromosomal aberrations, ensuring regulatory compliance and providing mechanistic DDR insight.
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How to Contact Creative Biolabs
Creative Biolabs provides comprehensive, dynamic GRN analysis, moving your longevity research from association to causation and prediction. We offer the precision and fidelity necessary to successfully identify and validate the next generation of anti-aging therapeutics.
To discuss your project's specific needs, data requirements, or to request a detailed quote, please reach out to our team of computational biologists and longevity experts.
Reference
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Suriyalaksh, Manusnan, et al. "Gene regulatory network inference in long-lived C. elegans reveals modular properties that are predictive of novel aging genes." iScience 25.1 (2022). Distributed under Open Access license CC BY 4.0, without modification. https://doi.org/10.1016/j.isci.2021.103663
