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One Hand Clapping: detection of condition-specific transcription factor interactions from genome-wide gene activity data.

Nucleic acids research | Oct 10, 2012

We present One Hand Clapping (OHC), a method for the detection of condition-specific interactions between transcription factors (TFs) from genome-wide gene activity measurements. OHC is based on a mapping between transcription factors and their target genes. Given a single case-control experiment, it uses a linear regression model to assess whether the common targets of two arbitrary TFs behave differently than expected from the genes targeted by only one of the TFs. When applied to osmotic stress data in S. cerevisiae, OHC produces consistent results across three types of expression measurements: gene expression microarray data, RNA Polymerase II ChIP-chip binding data and messenger RNA synthesis rates. Among the eight novel, condition-specific TF pairs, we validate the interaction between Gcn4p and Arr1p experimentally. We apply OHC to a large gene activity dataset in S. cerevisiae and provide a compendium of condition-specific TF interactions.

Pubmed ID: 22844089 RIS Download

Mesh terms: Basic-Leucine Zipper Transcription Factors | Binding Sites | Binding, Competitive | Gene Expression Regulation | Gene Regulatory Networks | Genomics | Linear Models | Phenotype | Saccharomyces cerevisiae | Saccharomyces cerevisiae Proteins | Transcription Factors | Transcription, Genetic | Transcriptome

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ArrayExpress

Database of functional genomics experiments including gene expression where you can query and download data collected to MIAME and MINSEQE standards. It includes gene expression data from microarray and high throughput sequencing studies. Gene Expression Atlas contains a subset of curated and re-annotated Archive data which can be queried for individual gene expression under different biological conditions across experiments. The ArrayExpress Archive is one of the three international public repositories of functional genomics data supporting publications. It includes data generated by sequencing or array-based technologies. Data are submitted by users and imported directly from the NCBI Gene Expression Omnibus. The ArrayExpress Archive is closely integrated with the Gene Expression Atlas and the sequence databases at the European Bioinformatics Institute. Advanced queries provided via ontology enabled interfaces include queries based on technology and sample attributes such as disease, cell types and anatomy. The Repository contains data from over 47787 experiments comprising approximately 1361377 assays (March 2014). The majority of the data are array based, but other data types are included, including ultra high-throughput sequencing transcriptomics and epigenetic data. All the data and array designs in ArrayExpress are available for direct download in a number of different formats. Submissions are welcome.

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