Dissecting the tumor ecosystem from patient samples

We collaborate with clinicians in the US and Israel to obtain tumor samples and analyze them using cutting edge single cell technologies. We identify subpopulations of cells with clinical significance and decipher their functions and interactions. To further understand how tumor ecosystems evolve during treatment we are comparing matched clinical samples (from the same patient) before and after treatments. These approaches are applied to diverse types of glioma (Science 2014, Nature 2016, Science 2017, Science 2018, Cell 2019), and to head and neck cancer (Cell 2017). Data from these studies and from dozens of other studies is integrated and available through our Curated Cancer Cell Atlas