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 (e.g.th 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.