Affiliation:
1. Department of Biochemistry and Molecular Biology and Program in Genetics, Michigan State University, East Lansing, Michigan
Abstract
ABSTRACT
Bioinformatics analysis of transcriptional control is guided by knowledge of the characteristics of
cis
-regulatory regions or enhancers. Features such as clustering of binding sites and co-occurrence of binding sites have aided enhancer identification, but quantitative predictions of enhancer function are not yet generally feasible. To facilitate the analysis of regulatory sequences in
Drosophila
melanogaster
, we identified quantitative parameters that affect the activity of short-range transcriptional repressors, proteins that play key roles in development. In addition to the previously noted distance dependence, repression is strongly influenced by the stoichiometry, affinity, spacing, and arrangement of activator binding sites. Repression is insensitive to the type of activation domain, suggesting that short-range repression may primarily affect activators at the level of DNA binding. The activity of several short-range, but not long-range, repressors is circumscribed by the same quantitative parameters. This
cis
-regulatory “grammar” may aid the identification of enhancers regulated by short-range repressors and facilitate bioinformatic prediction of the functional output of transcriptional regulatory sequences.
Publisher
American Society for Microbiology
Subject
Cell Biology,Molecular Biology
Cited by
62 articles.
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