A dedicated Reactome pathway model for hair follicle biology, enabling comprehensive mapping and evaluation of therapeutic candidates across biological processes. Provides network-level insights into epithelial–mesenchymal signaling, follicle cycling, and metabolic interactions.
The Reactome pathway curation for hair follicle biology offers a unique, comprehensive model that facilitates the understanding and analysis of complex biological processes within hair follicles. This model enables researchers to map therapeutic candidates onto curated pathways, allowing for a quantitative comparison of target engagement across epithelial–mesenchymal signaling, Wnt, BMP, Notch, and FGF cascades, as well as follicle cycling transitions and metabolic interactions. By transforming screening into a network-level evaluation, this solution aligns with the biological complexity of hair follicle development and cycling, offering insights into off-target and adverse-effect liabilities before advancing candidates.
This solution is at Technology Readiness Level 8, indicating it is nearing full commercial deployment. The current stage involves validation through expression overlay and refinement based on experimental feedback. The dedicated portal is deployed on AWS, with training and handoff planned for partner teams.
St. John’s University is a mid-sized, private, coeducational Catholic university with a broad, professionally oriented research and teaching mission and about 20,000 students. Its nearly 100-acre Queens campus combines high-tech laboratories and classrooms with a traditional residential setting, while the Astor Place campus places university programs and professional engagement in Manhattan’s East Village. This New York City footprint supports access to employers, internships, industry leaders, and major business and technology networks, complemented by global locations in Rome, Paris, and Limerick. The Office of Grants and Sponsored Research supports externally funded work through proposal development, compliance, and post-award administration, with federal funding commonly involving NIH, NSF, and the U.S. Department of Education.