ANALYSIS OF HIGH-DIMENSION SINGLE-CELL DATA FROM CANCER IMMUNOTHERAPY CLINICAL TRIALS

T cells, the antitumor effectors in cancer immunotherapy, can be classified into diverse functional subtypes. T cells also produce multiple proteins that need to be simultaneously evaluated to assess the T cells' antitumor activity. Massive amounts of data have been collected on single T cells, and on their secreted proteins. This Sharp Award has been focused on developing powerful computational methods to analyze patient data collected throughout the course of immunotherapy, on characterizing the cells that are affected by immunotherapy, and on connecting the observations to clinical responses. The Pe'er lab has previously developed three software tools for the analysis of single cell data. The Sharp awardees used these and similar tools to interpret data generated by the SU2C-CRI Immunology Dream Team.