JAX-NYSCF Collaborative and GSK Form Five-Year Collaboration to Advance Translational Models for Neurodegenerative Disease Research
The Jackson Laboratory–New York Stem Cell Foundation Collaborative (JAX-NYSCF) and GSK plc (LSE: GSK) have entered a five-year strategic research collaboration aimed at advancing human cellular models of neurodegenerative disease research, with a particular focus on Alzheimer's disease. The partnership, announced on February 17, 2026, brings together JAX-NYSCF's automated induced pluripotent stem cell (iPSC) platform and GSK's translational science and drug discovery capabilities. Financial terms were not disclosed.
Structure and Scope of the JAX NYSCF GSK Collaboration
The collaboration is structured as a research-stage partnership rather than a traditional licensing or co-development agreement. No specific drug candidates, molecular targets, or therapeutic compounds were identified as part of the deal. Instead, the parties described a shared objective of generating disease-relevant cellular models — specifically, patient-derived iPSC lines differentiated into neurons, glia, and other cell types implicated in neurodegeneration — to interrogate the underlying biology of Alzheimer's disease and related conditions.
JAX-NYSCF contributes its automated stem cell platform, access to characterized patient cohorts, and integrated data science tools. GSK contributes domain expertise in neurodegeneration, translational science, drug discovery infrastructure, and what the company described as established capabilities in immunology and inflammation. The stated goal is to build stem cell models that are more predictive of human disease biology than conventional animal-based or engineered cell systems, and to use those models to identify and prioritize drug candidates for further development.
No upfront payment, milestone structure, royalty terms, territorial rights, or equity investment was disclosed. The absence of disclosed financial terms is consistent with collaborations involving nonprofit research institutions, where arrangements may involve research funding rather than structured biopharmaceutical deal economics.
Operational Model and Translational Models for Neurodegeneration
Under the collaboration, JAX-NYSCF will leverage its large-scale automation platform to generate iPSC lines from patient cohorts with defined clinical histories and genetic profiles. These lines can be differentiated into disease-relevant cell types — including neurons, astrocytes, microglia, and oligodendrocytes — enabling researchers to study disease phenotypes that emerge from actual patient genomes rather than from artificial overexpression systems.
GSK's role centers on applying its translational science and drug discovery expertise to the resulting models. Chris Austin, senior vice president and global head of Research Technologies at GSK, stated that the collaboration "complements the work we are doing at GSK on cellular models of disease, and offers the potential to yield new insights that may help accelerate therapeutic discovery for devastating neurodegenerative diseases." Austin noted that the partnership could help "determine which patients are most likely to benefit from new therapies" — a reference to patient stratification, a persistent challenge in Alzheimer's disease treatment development.
The collaboration does not appear to include provisions for licensing specific compounds or advancing candidates into clinical development. It is positioned as a pre-competitive effort to improve the foundational tools used in early drug discovery for neurodegeneration.
Background: JAX-NYSCF Platform and GSK's Neuroscience Interests
JAX-NYSCF was formed following The Jackson Laboratory's acquisition of the New York Stem Cell Foundation, announced in October 2025. Lon Cardon, president and CEO of JAX, described the GSK collaboration as "a concrete example of where early-stage biomedical research is heading," noting that the combined entity now has the capacity to bridge traditional disease models with "next-generation patient-derived iPSC models that more accurately capture the complexity of human biology at scale."