Quantitative single cell biology
We are exploring mechanisms of stem cell differentiation in health and disease utilizing single-cell methods, in particular single-cell RNA-seq. The lab is interested in the influence of the microenvironment on cell fate decision and applies high-resolution spatial gene expression quantification in situ to identify interacting cell types. A particular focus is on the role of gene expression noise during cell fate choice. We are currently studying cell types of the hematopoietic system in the bone marrow, immune cells, and of the liver. Our group is also developing novel computational methods for single-cell analysis in order to address the biological questions of interest.