CHRISTOPHER GLASS LABORATORY

We are exploiting natural genetic variation provided by different inbred strains of mice as a ‘mutagenesis strategy' to define transcription factor networks in macrophages. These approaches are being extended to understand the effects of natural genetic variation on disease phenotypes in humans... We are developing novel machine learning (ML) formulations for capturing models from multi-omic data corresponding to the immune system cells, macrophages. We use ML models for structure discovery of transcription factor (TF) compositions and networks, in silico mutagenesis, cell fate and signal driven enhancer selection and function... We are investigating mechanisms by which macrophage lineage determining factors, such as PU.1, prime enhancers for subsequent actions of signal dependent transcription factors, such as NFkB and members of the nuclear receptor superfamily.

Also known as: Glass Laboratory

Primary location: La Jolla United States