Correlations between clusters of protein-DNA binding sites and the binding experimental data allow predicting a structure of regulatory modules

Here we analyzed an option to predict the structure of cis-regulatory modules that consist of binding sites of different proteins (heterogeneous cis-regulatory modules) using mutual positional correlations between protein-DNA binding experimental data and computationally identified clusters of binding sites for each of the proteins.     

Cis-motifs upstream of the transcription and translation initiation sites are effectively revealed by their positional disequilibrium in eukaryote genomes using frequency distribution curves

Background  

The discovery of cis-regulatory motifs still remains a challenging task even though the number of sequenced genomes is constantly growing. Computational analyses using pattern search algorithms have been valuable in phylogenetic footprinting approaches as have expression profile experiments to predict co-occurring motifs. Surprisingly little is known about the nature of cis-regulatory element (CRE) distribution in promoters.     

Comparative genomics using <Emphasis Type="Italic">Fugu</Emphasis> reveals insights into regulatory subfunctionalization

Background  

A major mechanism for the preservation of gene duplicates in the genome is thought to be mediated via loss or modification of cis-regulatory subfunctions between paralogs following duplication (a process known as regulatory subfunctionalization). Despite a number of gene expression studies that support this mechanism, no comprehensive analysis of regulatory subfunctionalization has been undertaken at the level of the distal cis-regulatory modules involved. We have exploited fish-mammal genomic alignments to identify and compare more than 800 conserved non-coding elements (CNEs) that associate with genes that have undergone fish-specific duplication and retention.     

A probabilistic model for the evolution of RNA structure

Background  

For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence stochastic grammars (and hence multiple alignment algorithms) systematically, starting from hypotheses about the various kinds of random mutation event and their rates.     

Conservation of regulatory elements between two species of Drosophila

Background  

One of the important goals in the post-genomic era is to determine the regulatory elements within the non-coding DNA of a given organism's genome. The identification of functional cis-regulatory modules has proven difficult since the component factor binding sites are small and the rules governing their arrangement are poorly understood. However, the genomes of suitably diverged species help to predict regulatory elements based on the generally accepted assumption that conserved blocks of genomic sequence are likely to be functional. To judge the efficacy of strategies that prefilter by sequence conservation it is important to know to what extent the converse assumption holds, namely that functional elements common to both species will fall within these conserved blocks. The recently completed sequence of a second Drosophila species provides an opportunity to test this assumption for one of the experimentally best studied regulatory networks in multicellular organisms, the body patterning of the fly embryo.