Single cell network inference to characterize regulatory heterogeneity in brain cancer Ghent University
Extreme tumor heterogeneity is the main underlying cause for treatment failure in aggressive glioblastoma (GBM) tumors. For the development of more effective therapies, we need to fully understand the regulatory mechanisms at play. Increasing amount of single cell omics analyses allow to dissect complex tissues into specific cell states with their own gene regulatory networks (GRNs). I hypothesize that a spectrum of cell state-specific GRNs ...