$50B+
Projected neuro-therapeutics market opportunity by 2030
REC@UC — Rodent & Brain Organoid Experimentation Core
Translational Neuroscience, Reframed.
An integrated CRO platform spanning rodent, cortical organoid, and electrophysiology services for high-confidence preclinical decisions.
Rodent & Brain Organoid Experimentation Core
REC-UC is a Proof-of-Concept operation under CENTRO2030-2024-59 (FEDER), designed to convert high-quality neuroscience models into partner-ready research services.
Status: Under evaluation · Institution: University of Coimbra · Program acronym: REC-UC
Projected neuro-therapeutics market opportunity by 2030
Validated readiness across MSUS and organoid platforms
Takeda, Aelis, YouthBio, Sorbonne, IGC, UPorto
Business, models, digital platform, and scale-up
Study design, execution, and decision-ready reporting tailored to biotech, pharma, and academic programs.
Scalable homecage monitoring for longitudinal, low-stress phenotyping and operationally robust datasets.
Cortical organoid programs supporting target validation, mechanism-of-action studies, and translational screening.
Electrophysiology workflows for rodent and organoid systems, from protocol design to interpretive analysis.
Operation: CENTRO2030-FEDER-02359000
Call code: CENTRO2030-2024-59
Call: SACCCT — Proof-of-Concept Projects
Intervention type: Scientific & Technological Research
Operation type: Proof of Concept
Keywords: Experimental models, CRO, biomedicine, valorization
Coordinator: João Miguel Peça Lima Novo Silvestre
Role: PI, University of Coimbra
Contact: +351 969 332 188
Neurodevelopmental and neuropsychiatric disorders remain a high-need segment with significant therapeutic market growth potential.
REC-UC addresses this opportunity through validated, outsourceable preclinical platforms with clear service deliverables.
Finalize the commercial blueprint, standardize protocols, optimize workflows, and maintain a partner-facing digital platform.
Use the Maternal Separation and Unpredictable Stress model with CarboCode to test sphingolipid therapeutic potential in early-stress phenotypes.
Advance application studies of the conditional GPRASP2 knockout model for memory deficits and obesity mechanisms.
Expand organoid-based precision medicine workflows for disease-mechanism and therapeutic response studies.
REC-UC provides a translational cortical organoid platform built for partner programs in neurodevelopment and neuropsychiatry, with configurable study windows and decision-ready outputs while protecting proprietary implementation details.
Neural commitment and cortical patterning
Controlled induction, quality checkpoints, and reproducible batch setup.
3D self-organization and maturation
Progressive tissue-like architecture with milestone-based validation.
Self-sufficient organoid stage
Organoids are maintained as self-sustaining cultures; viral infection workflows are available from this point onward.
Network activity validation
Active synapse formation is validated at this stage.
Functional imaging window
GCaMP-compatible experiments supported for circuit-level readouts.
Advanced electrophysiology
Whole-cell patch clamp workflows supported for high-resolution functional profiling.
Live neuron captured from a 4-month-old organoid.
Use Get Started to access the protected partner workspace and initialize your project profile.
Specify model requirements, endpoints, timelines, and constraints through structured intake templates.
Monitor milestones, submit follow-up requests, and export structured reports from the activity dashboard.
Selected visual highlights from REC-UC experimental workflows.
REC-UC combines scientific depth with operational discipline to deliver translational neuroscience programs that are credible, scalable, and partner-ready.
Ready to scope a study? Share your objectives, model needs, and target timeline to initiate a structured project discussion with REC-UC.
Operation reference: CENTRO2030-2024-59 · REC-UC
Institution: University of Coimbra
Scientific coordination: João Miguel Peça Lima Novo Silvestre
Email: contact@rec-uc.pt (placeholder)
Recommended brief: indication area, model type, endpoints, and desired timeline.