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The cis-regulatory logic of Hedgehog gradient responses: key roles for gli binding affinity, competition, and cooperativity.

ABSTRACT: Gradients of diffusible signaling proteins control precise spatial patterns of gene expression in the developing embryo. Here, we use quantitative expression measurements and thermodynamic modeling to uncover the cis-regulatory logic underlying spatially restricted gene expression in a Hedgehog (Hh) gradient in Drosophila. When Hh signaling is low, the Hh effector Gli, known as Cubitus interruptus (Ci) in Drosophila, acts as a transcriptional repressor; when Hh signaling is high, Gli acts as a transcriptional activator. Counterintuitively and in contrast to previous models of Gli-regulated gene expression, we found that low-affinity binding sites for Ci were required for proper spatial expression of the Hh target gene decapentaplegic (dpp) in regions of low Hh signal. Three low-affinity Ci sites enabled expression of dpp in response to low signal; increasing the affinity of these sites restricted dpp expression to regions of maximal signaling. A model incorporating cooperative repression by Ci correctly predicted the in vivo expression of a reporter gene controlled by a single Ci site. Our work clarifies how transcriptional activators and repressors, competing for common binding sites, can transmit positional information to the genome. It also provides an explanation for the widespread presence of conserved, nonconsensus Gli binding sites in Hh target genes.

SUBMITTER: Parker DS

PROVIDER: S-EPMC3152249 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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The cis-regulatory logic of Hedgehog gradient responses: key roles for gli binding affinity, competition, and cooperativity.

Parker David S DS White Michael A MA Ramos Andrea I AI Cohen Barak A BA Barolo Scott S

Science signaling 20110607 176

Gradients of diffusible signaling proteins control precise spatial patterns of gene expression in the developing embryo. Here, we use quantitative expression measurements and thermodynamic modeling to uncover the cis-regulatory logic underlying spatially restricted gene expression in a Hedgehog (Hh) gradient in Drosophila. When Hh signaling is low, the Hh effector Gli, known as Cubitus interruptus (Ci) in Drosophila, acts as a transcriptional repressor; when Hh signaling is high, Gli acts as a t ...[more]

PMID: 21653228

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Project description:BackgroundA major goal of computational studies of gene regulation is to accurately predict the expression of genes based on the cis-regulatory content of their promoters. The development of computational methods to decode the interactions among cis-regulatory elements has been slow, in part, because it is difficult to know, without extensive experimental validation, whether a particular method identifies the correct cis-regulatory interactions that underlie a given set of expression data. There is an urgent need for test expression data in which the interactions among cis-regulatory sites that produce the data are known. The ability to rapidly generate such data sets would facilitate the development and comparison of computational methods that predict gene expression patterns from promoter sequence.ResultsWe developed a gene expression simulator which generates expression data using user-defined interactions between cis-regulatory sites. The simulator can incorporate additive, cooperative, competitive, and synergistic interactions between regulatory elements. Constraints on the spacing, distance, and orientation of regulatory elements and their interactions may also be defined and Gaussian noise can be added to the expression values. The simulator allows for a data transformation that simulates the sigmoid shape of expression levels from real promoters. We found good agreement between sets of simulated promoters and predicted regulatory modules from real expression data. We present several data sets that may be useful for testing new methodologies for predicting gene expression from promoter sequence.ConclusionWe developed a flexible gene expression simulator that rapidly generates large numbers of simulated promoters and their corresponding transcriptional output based on specified interactions between cis-regulatory sites. When appropriate rule sets are used, the data generated by our simulator faithfully reproduces experimentally derived data sets. We anticipate that using simulated gene expression data sets will facilitate the direct comparison of computational strategies to predict gene expression from promoter sequence. The source code is available online and as additional material. The test sets are available as additional material.

Dataset Information

The cis-regulatory logic of Hedgehog gradient responses: key roles for gli binding affinity, competition, and cooperativity.

Publications

The cis-regulatory logic of Hedgehog gradient responses: key roles for gli binding affinity, competition, and cooperativity.

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