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A deeper look into transcription regulatory code by preferred pair distance templates for transcription factor binding sites
- Source :
- Bioinformatics (Oxford, England). 27(19)
- Publication Year :
- 2011
-
Abstract
- Motivation: Modern experimental methods provide substantial information on protein–DNA recognition. Studying arrangements of transcription factor binding sites (TFBSs) of interacting transcription factors (TFs) advances understanding of the transcription regulatory code. Results: We constructed binding motifs for TFs forming a complex with HIF-1α at the erythropoietin 3′-enhancer. Corresponding TFBSs were predicted in the segments around transcription start sites (TSSs) of all human genes. Using the genome-wide set of regulatory regions, we observed several strongly preferred distances between hypoxia-responsive element (HRE) and binding sites of a particular cofactor protein. The set of preferred distances was called as a preferred pair distance template (PPDT). PPDT dramatically depended on the TF and orientation of its binding sites relative to HRE. PPDT evaluated from the genome-wide set of regulatory sequences was used to detect significant PPDT-consistent binding site pairs in regulatory regions of hypoxia-responsive genes. We believe PPDT can help to reveal the layout of eukaryotic regulatory segments. Contact: ivan.kulakovskiy@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
- Subjects :
- Statistics and Probability
Hypoxia-Inducible Factor 1
Amino Acid Motifs
Computational biology
Biology
Regulatory Sequences, Nucleic Acid
Biochemistry
Transcription (biology)
Humans
Binding site
Nucleotide Motifs
Molecular Biology
Gene
Transcription factor
Erythropoietin
Genetics
Binding Sites
Genome
Proteins
DNA
Hypoxia-Inducible Factor 1, alpha Subunit
Computer Science Applications
DNA binding site
Computational Mathematics
Computational Theory and Mathematics
Gene Expression Regulation
Regulatory sequence
Human genome
Transcription Initiation Site
Protein Binding
Transcription Factors
Subjects
Details
- ISSN :
- 13674811
- Volume :
- 27
- Issue :
- 19
- Database :
- OpenAIRE
- Journal :
- Bioinformatics (Oxford, England)
- Accession number :
- edsair.doi.dedup.....53026bd7864c281df61cdd05e2810453