2004
DOI: 10.1093/nar/gkh782
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Comparative analysis of dioxin response elements in human, mouse and rat genomic sequences

Abstract: Comparative approaches were used to identify human, mouse and rat dioxin response elements (DREs) in genomic sequences unambiguously assigned to a nucleotide RefSeq accession number. A total of 13 bona fide DREs, all including the substitution intolerant core sequence (GCGTG) and adjacent variable sequences, were used to establish a position weight matrix and a matrix similarity (MS) score threshold to rank identified DREs. DREs with MS scores above the threshold were disproportionately distributed in close pr… Show more

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Cited by 195 publications
(197 citation statements)
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“…In general, the ligand-activated AhR mediates the effect of TCDD by interacting with XRE in the 5'-flanking regions of target genes. However, AhR-regulated XREs have not been found in the 5'-flanking region of the human TNF-α gene (Sun et al, 2004). Therefore, it appears that other signaling pathway is involved rather than the ligand-activated AhR directly activates transcription of the TNF-α gene.…”
Section: Discussionmentioning
confidence: 95%
“…In general, the ligand-activated AhR mediates the effect of TCDD by interacting with XRE in the 5'-flanking regions of target genes. However, AhR-regulated XREs have not been found in the 5'-flanking region of the human TNF-α gene (Sun et al, 2004). Therefore, it appears that other signaling pathway is involved rather than the ligand-activated AhR directly activates transcription of the TNF-α gene.…”
Section: Discussionmentioning
confidence: 95%
“…It is therefore not too surprising that epidermal cells secreted less GM-CSF in AhR-deficient cultures, in particular as the gene has four putative xenobiotic-responsive elements in its promoter (46). GM-CSF is relevant for LC maturation, that is, CD80 expression levels (47).…”
Section: Discussionmentioning
confidence: 99%
“…Computational methods for the identification of cis-regulatory sequences have been successfully applied to simple organisms such as yeast and worm, and while some methods have been plagued by high false positive rates in mammals primarily because of the very large quantity of intergenic sequence present [25], many recent new bioinformatics algorithms have improved prediction [26]. These include examining evolutionarily conserved regulatory sequences in upstream sequences of orthologous genes across species [7,[27][28][29] and identifying statistically over-represented motifs in the upstream regions of genes that are co-regulated in microarray expression profiles [26,30].…”
Section: A Bioinformatics Approachmentioning
confidence: 99%