Prof. Shalev Itzkovitz

Mammalian tissues are composed of heterogeneous cells, interacting in highly structured microenvironments to achieve physiologic goals. We study how single-cell gene expression patterns serve to achieve these goals and how intercellular interactions are perturbed in disease such as diabetes and cancer. We apply an interdisciplinary approach, combining novel measurement techniques of single cells in intact tissues with computational data analyses approaches. We focus on the metabolic tissues – intestine liver and pancreas and apply cutting-edge technologies such as single cell RNAseq, single molecule microscopy and spatial transcriptomics