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in vitro Disease Modeling and Functionality Assessment
Human-Relevant Models to Accelerate Drug Discovery
We design advanced, physiologically relevant in vitro disease models to support mechanism studies, target validation, and early-stage drug discovery. By leveraging iPSC-derived cells, primary cells, and engineered cell systems, we translate complex disease biology into actionable, decision-grade assays.
Why Partner With Us?
- Reliability: Reproducible systems delivering consistent, high-quality data.
- Physiological Relevance: Models that mimic human disease biology, enhancing clinical translatability.
- Custom Solutions: Tailored to your specific research needs, from genetic backgrounds to disease phenotypes.
Our Toolkit: Advanced Cell Systems
We select the optimal cell platform to address your scientific question:
iPSC-Derived Cells
- Generate virtually unlimited quantities of disease-relevant human cells (e.g., neurons, cardiomyocytes).
- Create patient-specific models by reprogramming cells from individuals with target diseases.
Primary Cells
- Gold-standard biological relevance: Directly sourced from human/animal tissues.
- Ideal for validating cell function and disease mechanisms in their natural state.
Engineered Cell Systems
- CRISPR-Cas9 gene editing: Introduce, remove, or correct genes to establish causal links between genetic changes and disease.
- Isogenic pairs: Compare cells with/without a specific genetic alteration to isolate disease mechanisms.
Applications: Accelerating Early-Stage R&D
Mechanism of Action (MoA) Studies
- Uncover how and why diseases develop at cellular/molecular levels.
- Map biological pathways to identify therapeutic intervention points.
Target Validation
- Confirm the therapeutic potential of genes or proteins.
- Demonstrate that modulating a target produces the desired biological effect.
Drug Screening & Development
- Test the efficacy, toxicity, and potency of candidate gene therapy products in a highly relevant biological system.
- Enable high-throughput screening to rapidly identify lead candidates.