An important goal of the human genome project is to completely describe the cis-regulatory sequences and trans-acting factors that control gene transcription in complex genomes. A significant remaining impediment to this goal is the paucity of well-characterized DNA-binding specificities for transcription factors. A high-throughput, inexpensive method is needed to facilitate the analysis of the DNA-binding specificity of transcription factors on a genome-wide scale. We have developed a bacterial 1-hybrid system that can characterize the DNA-binding specificity of transcription factors. This technology has advantages over existing in vitro methods: only basic molecular biology reagents and techniques are required, and no protein purification is necessary. In this application, we propose to evaluate our bacterial 1-hybrid system as a high-throughput method for determining the DNA-binding specificities of transcription factors.
In Aim 1, we will optimize the bacterial 1-hybrid system for the high-throughput analysis of factors and establish a standard set of selection conditions that will yield high quality binding site motifs for transcription factors with a broad range of affinities.
In Aim 2, we will perform a pilot screen of 30 Cys2His2 zinc finger proteins and 20 other transcription factors from the model organism Drosophila.
In Aim 3, we will assess the quality of the DNA-binding specificities determined using the bacterial 1-hybrid system. If this project is successful, we anticipate that the bacterial 1-hybrid system will be used by ourselves and adopted by others to perform genome-wide surveys of transcription factors in Drosophila and a variety of other model organisms. The resulting database of information on transcription factors will be valuable for deciphering the mechanisms of gene regulation in higher eukaryotes. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21HG003721-01A1
Application #
7102535
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Feingold, Elise A
Project Start
2006-04-18
Project End
2008-02-29
Budget Start
2006-04-18
Budget End
2007-02-28
Support Year
1
Fiscal Year
2006
Total Cost
$162,375
Indirect Cost
Name
University of Massachusetts Medical School Worcester
Department
Biochemistry
Type
Schools of Medicine
DUNS #
603847393
City
Worcester
State
MA
Country
United States
Zip Code
01655
Noyes, Marcus B; Christensen, Ryan G; Wakabayashi, Atsuya et al. (2008) Analysis of homeodomain specificities allows the family-wide prediction of preferred recognition sites. Cell 133:1277-89
Noyes, Marcus B; Meng, Xiangdong; Wakabayashi, Atsuya et al. (2008) A systematic characterization of factors that regulate Drosophila segmentation via a bacterial one-hybrid system. Nucleic Acids Res 36:2547-60