We strive to better understand how diverse members of the non-coding RNA family and their RNA binding protein partners, through their ability to modulate gene expression in the nucleus, contribute to immune pathologies in mouse models of colitis, multiple sclerosis, and cancers. Deeper understanding of how immune gene expression programs are controlled will facilitate development of new intervention strategies against inflammatory diseases.
Dynamical Systems, Stochastic Processes, and Biological Circuits
We are interested in all aspects of gene regulation, and have used model systems including cells of the immune system, embryonic stem cells, haematopoietic stem cells and cells of the mouse embryo.
Our laboratory aims to obtain a quantitative and predictive understanding of how complex biological systems operate and function. We focus on the two complementary directions: systems biology analysis to deconstruct natural systems and synthetic biology to build artificial systems analogous to natural systems.
Our research focuses on molecular engineering for cellular imaging and reprogramming, and image-based bioinformatics, with applications in stem cell differentiation and cancer treatment.