Our long-term goal is to understand how the dynamic behavior of biological signals is controlled and how these dynamics affect cellular responses. This proposal focuses on fundamental cellular mechanisms of the p53 signaling pathway. We recently used long-term time-lapse imaging studies on single cells and discovered that p53 levels show a highly unexpected pulsatile response to specific types of DNA damage. These repeated pulses had been masked in previous studies that measured p53 levels in populations of cells. We will combine quantitative dynamic measurements in single living cells, mathematical modeling and manipulation of the p53 circuit to ask how, and why, the p53 signaling pathway generates this series of uniform pulses and why different cells show different numbers of pulses.
Our first aim i s to identify the molecular mechanism leading to p53 pulses and the feedbacks that control their amplitude and duration. We will perform quantitative population and single cell measurements of the dynamics of several proteins in the p53 pathway and integrate the information into a theoretical framework, with the goal of developing a credible predictive model for p53 dynamics. Next, we will determine how p53 pulsatile behavior is connected with specific cellular outcomes and with the activation of specific downstream programs such as apoptosis, cell cycle arrest and DNA repair. We will track p53 dynamics in parallel with marker proteins that report on downstream programs in single living cells, and identify the fate of each imaged cell. We will manipulate the control circuit to alter the frequency or amplitude of the pulses, or eliminate them altogether, and ask how these changes affect the outcome for the cell. As well as asking how p53 dynamics determine outcome, we will examine whether the amount of DNA damage affects the number of pulses. We have developed a novel system for quantitating DNA double- stranded breaks (DSBs) and cell cycle stage in live cells and we will use this system in parallel with tracking p53 pulses to ask whether the initial number of DSBs affects the number of p53 pulses, and whether the cell's sensitivity to radiation changes during the cell cycle. Finally, we will determine how estrogen influences p53 dynamics and cell fate following DNA damage in cells that carry a specific polymorphism in Mdm2 promoter (SNP309), which were shown to have high levels of Mdm2 and no p53 pulses. We will predict and test the effect of estrogen antagonists and p53/Mdm2 inhibitors on p53 dynamics in the background of SNP309 cells. Our results will provide new insights into the control and manipulation of the p53 pathway, perhaps the most important pathway protecting human cells against the development of cancer. These studies will give a deeper understanding of the biological mechanisms and function of p53, and will provide a prototype for the analysis, description, and understanding of the dynamics of other signaling pathways in single living human cells.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM083303-05
Application #
8214599
Study Section
Special Emphasis Panel (ZRG1-CSRS-N (01))
Program Officer
Dunsmore, Sarah
Project Start
2008-03-01
Project End
2013-05-31
Budget Start
2012-02-01
Budget End
2013-05-31
Support Year
5
Fiscal Year
2012
Total Cost
$315,642
Indirect Cost
$129,423
Name
Harvard University
Department
Biology
Type
Schools of Medicine
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
02115
Drayman, Nir; Ben-Nun-Shaul, Orly; Butin-Israeli, Veronika et al. (2016) p53 elevation in human cells halt SV40 infection by inhibiting T-ag expression. Oncotarget :
Paek, Andrew L; Liu, Julia C; Loewer, Alexander et al. (2016) Cell-to-Cell Variation in p53 Dynamics Leads to Fractional Killing. Cell 165:631-42
Stewart-Ornstein, Jacob; Lahav, Galit (2016) Dynamics of CDKN1A in Single Cells Defined by an Endogenous Fluorescent Tagging Toolkit. Cell Rep 14:1800-11
Chen, Sheng-Hong; Forrester, William; Lahav, Galit (2016) Schedule-dependent interaction between anticancer treatments. Science 351:1204-8
Lande-Diner, Laura; Stewart-Ornstein, Jacob; Weitz, Charles J et al. (2015) Single-cell analysis of circadian dynamics in tissue explants. Mol Biol Cell 26:3940-5
Liu, Julia C; Lerou, Paul H; Lahav, Galit (2014) Stem cells: balancing resistance and sensitivity to DNA damage. Trends Cell Biol 24:268-74
Gaglia, Giorgio; Lahav, Galit (2014) Constant rate of p53 tetramerization in response to DNA damage controls the p53 response. Mol Syst Biol 10:753
Gaglia, Giorgio; Guan, Yinghua; Shah, Jagesh V et al. (2013) Activation and control of p53 tetramerization in individual living cells. Proc Natl Acad Sci U S A 110:15497-501
Liu, Julia C; Guan, Xiao; Ryan, Jeremy A et al. (2013) High mitochondrial priming sensitizes hESCs to DNA-damage-induced apoptosis. Cell Stem Cell 13:483-91
Karanam, Ketki; Loewer, Alexander; Lahav, Galit (2013) Dynamics of the DNA damage response: insights from live-cell imaging. Brief Funct Genomics 12:109-17

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