Interactions described by genetic and biochemical networks determine cellular properties and behaviors. Thus, understanding the design principles of biological networks has fundamental relevance to health, disease, and treatment of disease. A modular experimental system has been developed, in which genetic networks are synthesized in combinatorial manner. Different members of this network library vary in topology, but use the same components, making this system amenable to experimental and theoretical analysis. The proposed research will measure the internal network states over time as a prelude to developing a quantitative model of network dynamics. The library will also be used to explore the relationship between network topology and gene expression noise. Finally, since fluctuations in the concentration of components can lead to population heterogeneity, single cell analysis of network dynamics in response to time-varying inputs will be performed.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32GM070922-02
Application #
6801066
Study Section
Special Emphasis Panel (ZRG1-F08 (20))
Program Officer
Basavappa, Ravi
Project Start
2003-09-01
Project End
2006-08-31
Budget Start
2004-09-01
Budget End
2005-08-31
Support Year
2
Fiscal Year
2004
Total Cost
$42,976
Indirect Cost
Name
Rockefeller University
Department
Biochemistry
Type
Other Domestic Higher Education
DUNS #
071037113
City
New York
State
NY
Country
United States
Zip Code
10065