GSBS Student Publications

UMMS Affiliation

Graduate School of Biomedical Sciences; Program in Gene Function and Expression; Department of Biochemistry and Molecular Pharmacology; Program in Molecular Medicine

Date

3-12-2008

Document Type

Article

Medical Subject Headings

Animals; Bacteria; Base Sequence; Binding Sites; Body Patterning; Computational Biology; Conserved Sequence; Drosophila Proteins; Drosophila melanogaster; Genomics; *Regulatory Elements, Transcriptional; Software; Transcription Factors; *Two-Hybrid System Techniques

Disciplines

Life Sciences | Medicine and Health Sciences

Abstract

Specificity data for groups of transcription factors (TFs) in a common regulatory network can be used to computationally identify the location of cis-regulatory modules in a genome. The primary limitation for this type of analysis is the paucity of specificity data that is available for the majority of TFs. We describe an omega-based bacterial one-hybrid system that provides a rapid method for characterizing DNA-binding specificities on a genome-wide scale. Using this system, 35 members of the Drosophila melanogaster segmentation network have been characterized, including representative members of all of the major classes of DNA-binding domains. A suite of web-based tools was created that uses this binding site dataset and phylogenetic comparisons to identify cis-regulatory modules throughout the fly genome. These tools allow specificities for any combination of factors to be used to perform rapid local or genome-wide searches for cis-regulatory modules. The utility of these factor specificities and tools is demonstrated on the well-characterized segmentation network. By incorporating specificity data on an additional 66 factors that we have characterized, our tools utilize approximately 14% of the predicted factors within the fly genome and provide an important new community resource for the identification of cis-regulatory modules.

Rights and Permissions

Citation: Nucleic Acids Res. 2008 May;36(8):2547-60. Epub 2008 Mar 10. Link to article on publisher's site

Related Resources

Link to Article in PubMed

Journal Title

Nucleic acids research

PubMed ID

18332042

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