An understanding of retinal regulatory networks can help elucidate the molecular basis of retinal development and retinal diseases. Although gains in knowledge about retinal regulatory factors and elements have been made and several transcription factor (TF) mutations associated with retinal disease have been identified, overall understanding of retinal regulatory networks is still rather limited. Our long-term goal is to attain understanding of the structure and dynamics of retinal regulatory networks. To that end, we here propose a computational approach to predict protein-DNA and protein-protein interactions related to the retinal regulation by integrating current knowledge and a variety of data sets from high-throughput experiments. We also propose to verify the prediction experimentally. We are interested not only in the prediction of static interactions, but also in the condition-dependent transcriptional activity of interactions. To achieve our objective, we have four Specific Aims: (1) identification of retina-related cis-regulatory elements and their regulatory targets, (2) determination of interacting transcription factors that co-regulate retina-related genes, (3) characterization of the dynamics of the retinal regulatory networks, and (4) experimental verification of bioinformatics predictions. Beyond investigation of retinal disease, the computational programs developed in this proposal should also be generally useful for a broad community.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY017589-04
Application #
7797375
Study Section
Biology and Diseases of the Posterior Eye Study Section (BDPE)
Program Officer
Greenwell, Thomas
Project Start
2007-04-01
Project End
2012-03-31
Budget Start
2010-04-01
Budget End
2012-03-31
Support Year
4
Fiscal Year
2010
Total Cost
$284,130
Indirect Cost
Name
Johns Hopkins University
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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