ArticleJournal of biology2003
Identification of conserved regulatory elements by comparative genome analysis.
Article in Journal of biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.
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Who cites it
117 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring hepatic hormone actions using a compilation of gene expression profiles.BMC physiology · 2005Pooled it
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- B4GALT1 Is a New Candidate to Maintain the Stemness of Lung Cancer Stem Cells.Journal of clinical medicine · 2019Article
- Sequence homology in eukaryotes (SHOE): interactive visual tool for promoter analysis.BMC genomics · 2018Article
- Dempster-Shafer Theory for the Prediction of Auxin-Response Elements (AuxREs) in Plant Genomes.BioMed research international · 2018Article
- Polycomb repressive complex 2 (PRC2) silences genes responsible for neurodegeneration.Nature neuroscience · 2016Article
- Systems Genetic Analyses Highlight a TGFβ-FOXO3 Dependent Striatal Astrocyte Network Conserved across Species and Associated with Stress, Sleep, and Huntington's Disease.PLoS genetics · 2016Article
- Transcriptional Regulation of miR-31 by Oncogenic KRAS Mediates Metastatic Phenotypes by Repressing RASA1.Molecular cancer research : MCR · 2016Article
- ANISEED 2015: a digital framework for the comparative developmental biology of ascidians.Nucleic acids research · 2016Article
- Cis-regulatory somatic mutations and gene-expression alteration in B-cell lymphomas.Genome biology · 2015Article
- FCGR2A Promoter Methylation and Risks for Intravenous Immunoglobulin Treatment Responses in Kawasaki Disease.Mediators of inflammation · 2015Article
- Investigating genomic structure using changept: A Bayesian segmentation model.Computational and structural biotechnology journal · 2014Review
- Genome-wide identification of transcription factors and transcription-factor binding sites in oleaginous microalgae Nannochloropsis.Scientific reports · 2014Article
- Identification of transcriptional regulatory elements for Ntng1 and Ntng2 genes in mice.Molecular brain · 2014Article
57 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor genes that have been successfully delineated within the human genome sequence, most regulatory sequences remain to be elucidated. The annotation and interpretation process requires additional data resources and significant improvements in computational methods for the detection of regulatory regions. One approach of growing popularity is based on the preferential conservation of functional sequences over the course of evolution by selective pressure, termed 'phylogenetic footprinting'. Mutations are more likely to be disruptive if they appear in functional sites, resulting in a measurable difference in evolution rates between functional and non-functional genomic segments.
resultsWe have devised a flexible suite of methods for the identification and visualization of conserved transcription-factor-binding sites. The system reports those putative transcription-factor-binding sites that are both situated in conserved regions and located as pairs of sites in equivalent positions in alignments between two orthologous sequences. An underlying collection of metazoan transcription-factor-binding profiles was assembled to facilitate the study. This approach results in a significant improvement in the detection of transcription-factor-binding sites because of an increased signal-to-noise ratio, as demonstrated with two sets of promoter sequences. The method is implemented as a graphical web application, ConSite, which is at the disposal of the scientific community at http://www.phylofoot.org/.
conclusionsPhylogenetic footprinting dramatically improves the predictive selectivity of bioinformatic approaches to the analysis of promoter sequences. ConSite delivers unparalleled performance using a novel database of high-quality binding models for metazoan transcription factors. With a dynamic interface, this bioinformatics tool provides broad access to promoter analysis with phylogenetic footprinting.
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