The goal of the project is to identify a network of genes that are nitrogen responsive and are involved in seed development. This project will integrate development and metabolism networks to better understand how metabolism influences development and vice versa. The project will generate microarray data from Arabidopsis seeds and siliques, with or without treatment with nitrogen and carbon, and from two different stages of seed development. The microarray data will be stored and analyzed using an integrated database called VirtualDB. VirtualDB will also store functional annotations from several other resources, such as Kegg and GO (Gene Ontology). The integrated nature of VirtualDB will allow us to make complex queries which will provide biological insight into our microarray results. We can visualize our network of nitrogen induced genes involved in seed development by using tools such as Cytoscape. A list of candidate genes will be created, based on the gene's functions and positions in the network, and then will be validated using mutant analysis. The mutant, either a gene knockout or an overexpression vector, will be analyzed via microarray experiments using RNA extracted from siliques and/or seeds.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32GM075600-01
Application #
6999628
Study Section
Special Emphasis Panel (ZRG1-F08 (20))
Program Officer
Dearolf, Charles R
Project Start
2005-09-01
Project End
2007-08-31
Budget Start
2005-09-01
Budget End
2006-08-31
Support Year
1
Fiscal Year
2005
Total Cost
$43,976
Indirect Cost
Name
New York University
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
041968306
City
New York
State
NY
Country
United States
Zip Code
10012
Katari, Manpreet S; Nowicki, Steve D; Aceituno, Felipe F et al. (2010) VirtualPlant: a software platform to support systems biology research. Plant Physiol 152:500-15