Dissecting the tumor ecosystem from patient samples

We collaborate with clinicians in Boston and Israel to obtain clinical tumor samples and apply cutting edge single cell technologies to decipher their composition and regulatory networks at unprecedented resolution. We identify tumor subpopulations with clinical significance and decipher their functions and interactions. To further understand how tumor ecosystems evolve during treatment and tumor spread, we are comparing matched clinical samples (from the same patient) before and after treatment, and for primary and metastatic samples. This approach is currently applied for diverse types of glioma (Science 2014, Nature 2016, Science 2017), metastatic melanoma (Science 2016), ovarian cancer and head and neck cancer.