Computational Deconvolution of Gene Expression Data from Mixed Tissues

The quanta unit of the immune system is the cell. Yet, biological samples are often heterogeneous in their cell-types which implies that the results derived from many assays span multiple cells and cell-types, hindering result interpretation.
This problem is most acute in high bandwidth technologies which can simultaneously measure multiple factors ( all genes in the genome) but the end output of which is often ‘genomic soup’ - detached from cell-level information.
We are developing a novel computational methodologies which allow genome-scale measurements from a heterogeneous tissue such as blood, to be associated with their cell of origin, yielding cell-type specific context to measurements and allowing assembly of inter and intra-cellular regulatory networks.
These methodologies are employed in the rest of the projects in the lab and are widely applicable beyond the context of the immune system.