ArticleGenome biology2003
Phylogenetically and spatially conserved word pairs associated with gene-expression changes in yeasts.
Article in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 55 citations in OpenAlex.
- Disparate Dynamics of Gene Body andPlants (Basel, Switzerland) · 2021Article
- Combinatorial Cis-regulation in Saccharomyces Species.G3 (Bethesda, Md.) · 2016Article
- Pervasive divergence of transcriptional gene regulation in Caenorhabditis nematodes.PLoS genetics · 2014Article
- Motif discovery and transcription factor binding sites before and after the next-generation sequencing era.Briefings in bioinformatics · 2013Article
- Combined metabolic engineering of precursor and co-factor supply to increase α-santalene production by Saccharomyces cerevisiae.Microbial cell factories · 2012Article
- Predicting tissue specific cis-regulatory modules in the human genome using pairs of co-occurring motifs.BMC bioinformatics · 2012Article
- Importance sampling of word patterns in DNA and protein sequences.Journal of computational biology : a journal of computational molecular cell biology · 2010Article
- Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences.Bioinformatics (Oxford, England) · 2008Article
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- ArrayPlex: distributed, interactive and programmatic access to genome sequence, annotation, ontology, and analytical toolsets.Genome biology · 2008Article
- Genomic identification of regulatory elements by evolutionary sequence comparison and functional analysis.Advances in genetics · 2008Review
- Determining physical constraints in transcriptional initiation complexes using DNA sequence analysis.PloS one · 2007Article
- Genomic evolution of the proteasome system among hemiascomycetous yeasts.Journal of molecular evolution · 2007Article
- Prediction of synergistic transcription factors by function conservation.Genome biology · 2007Article
- Article
- Flexible promoter architecture requirements for coactivator recruitment.BMC molecular biology · 2006Article
- XcisClique: analysis of regulatory bicliques.BMC bioinformatics · 2006Article
- Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computational genomic analysis.BMC bioinformatics · 2005Article
- Statistical methods for identifying yeast cell cycle transcription factors.Proceedings of the National Academy of Sciences of the United States of America · 2005Article
- Ab initio identification of putative human transcription factor binding sites by comparative genomics.BMC bioinformatics · 2005Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTranscriptional regulation in eukaryotes often involves multiple transcription factors binding to the same transcription control region, and to understand the regulatory content of eukaryotic genomes it is necessary to consider the co-occurrence and spatial relationships of individual binding sites. The determination of conserved sequences (often known as phylogenetic footprinting) has identified individual transcription factor binding sites. We extend this concept of functional conservation to higher-order features of transcription control regions.
resultsWe used the genome sequences of four yeast species of the genus Saccharomyces to identify sequences potentially involved in multifactorial control of gene expression. We found 989 potential regulatory 'templates': pairs of hexameric sequences that are jointly conserved in transcription regulatory regions and also exhibit non-random relative spacing. Many of the individual sequences in these templates correspond to known transcription factor binding sites, and the sets of genes containing a particular template in their transcription control regions tend to be differentially expressed in conditions where the corresponding transcription factors are known to be active. The incorporation of word pairs to define sequence features yields more specific predictions of average expression profiles and more informative regression models for genome-wide expression data than considering sequence conservation alone.
conclusionsThe incorporation of both joint conservation and spacing constraints of sequence pairs predicts groups of target genes that are specific for common patterns of gene expression. Our work suggests that positional information, especially the relative spacing between transcription factor binding sites, may represent a common organizing principle of transcription control regions.
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