Leveraging single-cell dynamics to predict cell fates

About this Class

Speaker: Steven D Cappell NIH Stadtman Investigator Center for Cancer Research – National Cancer Institute – Bethesda MD My laboratory is integrating quantitative image analysis with genetic, biochemical, and systems biology approaches to understand how cells make fate decisions, such as the decision to enter the cell cycle and proliferate. This is arguably one of the most important decisions mammalian cells have to make with defective regulation leading to cancer or tissue degeneration. The control mechanisms underlying cell cycle regulation are highly dynamic and complex, and we are interested in mapping these dynamic signaling pathways to identify vulnerabilities that can be exploited for therapeutic utility. Our efforts to monitor signaling pathways in real-time and in live cells have already begun to reveal some of the mechanisms involved in cell cycle commitment. Moving forward, we seek to gain a more detailed understanding of the regulatory circuits generating irreversibility in the cell cycle, how these mechanisms are perturbed in cancer cells, and how cancer cells specifically adapt to genetic or pharmacological perturbations to continue to proliferate. Venue: Building 4 – Room 433 (NIH Bethesda campus) + virtual Meeting ID: 161 216 1536 Passcode: 169470