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Human skeletal muscle differentiation time course

ABSTRACT: We have developed an algorithm (“Lever”) that systematically maps metazoan DNA regulatory motifs or motif combinations to the sets of genes that they likely regulate. Lever accomplishes this by assessing whether the motifs are enriched within cis regulatory modules (CRMs), predicted by our “PhylCRM” algorithm, in the noncoding sequences surrounding genes in a collection of gene sets. When these gene sets correspond to Gene Ontology (GO) categories, the results of Lever analysis allow the unbiased assignment of functional annotations to the regulatory motifs and also to the candidate CRMs that comprise the genomic motif occurrences. We demonstrate these methods using human myogenic differentiation as a model system, for which we statistically assessed greater than 25,000 pairings of gene sets and motifs / motif combinations. These results allowed us to assign functional annotations to candidate regulatory motifs predicted previously, and to identify gene sets that are likely to be co-regulated via shared regulatory motifs. Lever allows moving beyond the identification of putative regulatory motifs in mammalian genomes, towards understanding their biological roles. This approach is general and can be applied readily to any cell type, gene expression pattern, or organism of interest. Keywords: expression profiling, time course

ORGANISM(S): Homo sapiens

PROVIDER: GSE4460 | GEO | 2008/03/02

SECONDARY ACCESSION(S): PRJNA94383

REPOSITORIES: GEO

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Project description:The abstract of the manuscript titled "Identification of co-regulated genes and cis-regulatory modules in Drosophila contractile cardiomyocytes" is given below: "Understanding how sets of genes are co-regulated to generate cell diversity during metazoan development is a major challenge. This requires the identification of tightly co-expressed genes in a given developmental process, of the responsible cis-regulatory modules, and of the combination of trans-acting transcription factors. We chose the Drosophila cardiac tube to address this issue. The cardiac tube is composed of a rostral aorta and a caudal heart, with distinct morphologies and functions and its development is controlled by conserved transcription factors. Our goal was to identify heart specific expressed genes and to use a combination of genetic and bioinformatic tools to identify and characterize their heart cis-regulatory modules (CRMs). By combined candidate gene approach and microarray experiments, we found 15 different genes that are specifically co-expressed in the contractile cardiomyocytes of the heart. Potential heart-specific CRMs were retrieved from evolutionary conserved non-coding sequences that were ranked according to an integrated score based on combinations of conserved occurrences of potential binding sites for transcription factors known to be expressed in the cardiovascular system, namely Abd-A, Tin, GATA, Mef2, Hand, and T-box factors. Candidate CRMs were then tested in vivo by generating nGFP reporter construct transgenic flies, allowing the identification of three heart enhancers precisely reproducing endogenous gene expression in the heart. We identified 15 genes that are tightly co-regulated in the contractile cardiomyocytes of the heart and for three of them found the responsible enhancer through computational predictions. A computational post-analysis suggests that different combinations of heart transcription factors may regulate these enhancers and permits to further refine the in silico identification of heart-specific CRMs."

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Human skeletal muscle differentiation time course

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