Optimizing cell reprogramming to pluripotency
The reprogramming of fibroblasts into induced pluripotent stem cells remains inefficient and not fully understood. The goal is to use machine learning and mechanistic modelling to identify barriers to reprogramming from in vitro data provided by Kaji Lab at the University of Edinburgh. Addressing these barriers could improve reprogramming efficiency and increase stem cell production. Additionally, the project aims to determine whether the gene regulatory network maintaining pluripotency also governs reprogramming, helping to resolve debates on the similarities and differences between embryonic and induced stem cells from a core gene regulatory network perspective.
Selected publications
Project participants
