Quantitative perturbation-based analysis of gene expression predicts enhancer activity in early Drosophila embryo.

Enhancers constitute one of the major components of regulatory machinery of metazoans. Although several genome-wide studies have focused on finding and locating enhancers in the genomes, the fundamental principles governing their internal architecture and cis-regulatory grammar remain elusive. Here, we describe an extensive, quantitative perturbation analysis targeting the dorsal-ventral patterning gene regulatory network (GRN) controlled by Drosophila NF-κB homolog Dorsal. To understand transcription factor interactions on enhancers, we employed an ensemble of mathematical models, testing effects of cooperativity, repression, and factor potency. Models trained on the dataset correctly predict activity of evolutionarily divergent regulatory regions, providing insights into spatial relationships between repressor and activator binding sites. Importantly, the collective predictions of sets of models were effective at novel enhancer identification and characterization. Our study demonstrates how experimental dataset and modeling can be effectively combined to provide quantitative insights into cis-regulatory information on a genome-wide scale.

Optimization of reporter gene architecture for quantitative measurements of gene expression in the Drosophila embryo.

Quantitative assessment of gene regulation is critical for mathematical modeling of transcriptional systems for systems biology efforts. Enhancers, also termed cis-regulatory modules (CRMs), are the primary mediators of transcriptional regulation in higher eukaryotes; transcription factors binding to CRMs dictate the likelihood and frequency of promoter activation. To provide a suitable platform for in-depth CRM analysis, we adapted a targeted integration vector to compare action of basal promoters with diverse combination of TATA, Inr and DPE motifs, as well as a set of 3'-UTRs representative of those used in different reporter vectors. This "Honda" series of reporter gene vectors was activated by a regulatory element binding Dorsal and Twist activators suitable for transcription in the early Drosophila embryo. The diverse promoters functioned in a similar manner with minor quantitative differences, consistent with a lack of enhancer-promoter specificity. Constructs bearing SV40 3'-UTR sequences appeared to produce somewhat higher levels of mRNA. Confocal laser scanning microscopy revealed that the mRNA distribution produced by these constructs was punctate; this pattern appears to be dependent on 5'-UTR sequences, as an optimized vector including an alternate 5'-UTR produced a more even distribution, which may be preferable for quantitative imaging. This set of Honda vectors contains convenient sites for modification of basal promoter, 3' UTR, and enhancer, and will be useful for analysis of CRMs and quantitative studies of gene expression.

Deciphering a transcriptional regulatory code: modeling short-range repression in the Drosophila embryo.

Systems biology seeks a genomic-level interpretation of transcriptional regulatory information represented by patterns of protein-binding sites. Obtaining this information without direct experimentation is challenging; minor alterations in binding sites can have profound effects on gene expression, and underlie important aspects of disease and evolution. Quantitative modeling offers an alternative path to develop a global understanding of the transcriptional regulatory code. Recent studies have focused on endogenous regulatory sequences; however, distinct enhancers differ in many features, making it difficult to generalize to other cis-regulatory elements. We applied a systematic approach to simpler elements and present here the first quantitative analysis of short-range transcriptional repressors, which have central functions in metazoan development. Our fractional occupancy-based modeling uncovered unexpected features of these proteins' activity that allow accurate predictions of regulation by the Giant, Knirps, Krüppel, and Snail repressors, including modeling of an endogenous enhancer. This study provides essential elements of a transcriptional regulatory code that will allow extensive analysis of genomic information in Drosophila melanogaster and related organisms.