Professor of Systems Biology
Lahav Lab website
For Assistance: Andrea Chen
Job Opportunity in the Lahav Lab: Associate Lab Research Director
Our lab studies how individual cells translate internal and external signals into decisions such as growth, death, movement or differentiation. We quantitatively measure the changes in level, activity, or localization of proteins in single cells at high temporal resolution and correlate these behaviors with specific cellular fates. By visualizing how dynamical behaviors vary between different cells, we aim to tease out the reasons for varying behavior both in cell populations and in different cell types. Understanding these issues will be enormously important for understanding how drugs act on different cell types and organs, and for gaining insight into the reasons why different cells and people respond differently to specific drugs.
We focus on the p53 signaling pathway. p53 is the protein most frequently inactivated in human cancer; more than half of all human cancers contain mutations in the p53 gene, and in almost all cancers the p53 regulatory circuit is functionally inactivated. Earlier work on p53 dynamics used techniques that average the behavior of millions of cells together (e.g. Western blots). We are interested in examining how individual cells behave. We use live single-cell imaging system and fluorescently labeled reporter proteins to determine how p53’s dynamic behavior is controlled, why different cells show different dynamical behaviors and what consequences these behaviors have on cell survival. We apply the same approaches and techniques to study additional networks in human cells such as the networks controlling DNA repair and cell growth.
In the long term we are optimistic that these studies will help us predict how signaling networks in human cells will behave in response to new stimuli; how they can be modified or rebuilt to give a desired cellular output; and how to selectively increase the tendency for cancer cells to go in the direction of apoptosis by modulating the dynamics of the networks controlling this decision.
About Dr. Lahav: Galit Lahav received her PhD in 2001 from the Department of Biology at the Technion, Israel Institute of Technology. Between the years 2001-2003, she completed her postdoctoral fellowship at the Weizmann Institute of Science. She then spent an additional year at Harvard’s Bauer Center for Genomics Research and in the fall of 2004 she joined the Department of Systems Biology. She has been recognized for her excellence in both teaching and research through several awards and honors including the Vilcek prize for Creative Promise in Biomedical Science and an Excellence in Mentoring award from HMS.
Dr. Lahav is a dedicated mentor to new faculty at Harvard and has been organizing a series of workshops and courses on leadership and management skills for Harvard junior faculty. She is also highly committed to the advancement of women in science and is always happy to share her experience balancing the challenges associated with being a mother in academia .