A scalable, tiered screening platform integrating mechanistic assays and follicular cell models to identify modulators of hair follicle biology. Offers pathway-resolved insights and improved translatability for efficient compound screening.
Introducing a novel tiered, high-throughput screening platform designed to explore hair follicle biology by identifying modulators through mechanistic reporter assays and biologically relevant follicular cell models. This approach is structured to deliver quantitative, pathway-resolved insights into the complex interactions governing hair follicle biology, which are crucial for understanding endocrine, metabolic, and inflammatory pathways. The platform's tiered design ensures scalability, reduces false positives, and aligns with industry needs by providing efficient, mechanism-informed screening of large compound libraries.
Key features include:
Currently, this technology is at a Technology Readiness Level of 5, indicating that the platform has been validated in a relevant environment. The proposed future validation plan includes a flexible 12-month work plan, emphasizing further refinement and validation of advanced models to ensure comprehensive readiness for industrial applications.
Penn State University is a comprehensive public land‑grant research university with a large multi‑campus footprint across Pennsylvania. Industry engages through a research and technology park adjacent to the flagship campus that houses corporate R&D, co‑located labs, and flexible collaboration space, as well as a statewide extension network that enables field testing, demonstration, and workforce reach. Integration with a major hospital system supports clinical translation, and an applied research laboratory fosters mission‑driven partnerships with government and industry sponsors. Research is supported by competitive federal funding from agencies such as NSF, NIH, DOE, USDA, DoD, and NASA. A dedicated technology transfer office manages IP, licensing, and startup formation to accelerate commercialization.