Comparative promoter region analysis powered by CORG

<p>Abstract</p> <p>Background</p> <p>Promoters are key players in gene regulation. They receive signals from various sources (e.g. cell surface receptors) and control the level of transcription initiation, which largely determines gene expression. In vertebrates, transc...

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Main Authors: Arndt Peter F, Röpcke Stefan, Tanzer Andrea, Grossmann Steffen, Dieterich Christoph, Stadler Peter F, Vingron Martin
Format: Article
Language:English
Published: BMC 2005-02-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/6/24
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spelling doaj-a138f68089ec4817b37318536c26c8dc2020-11-25T02:27:43ZengBMCBMC Genomics1471-21642005-02-01612410.1186/1471-2164-6-24Comparative promoter region analysis powered by CORGArndt Peter FRöpcke StefanTanzer AndreaGrossmann SteffenDieterich ChristophStadler Peter FVingron Martin<p>Abstract</p> <p>Background</p> <p>Promoters are key players in gene regulation. They receive signals from various sources (e.g. cell surface receptors) and control the level of transcription initiation, which largely determines gene expression. In vertebrates, transcription start sites and surrounding regulatory elements are often poorly defined. To support promoter analysis, we present CORG <url>http://corg.molgen.mpg.de</url>, a framework for studying upstream regions including untranslated exons (5' UTR).</p> <p>Description</p> <p>The automated annotation of promoter regions integrates information of two kinds. First, statistically significant cross-species conservation within upstream regions of orthologous genes is detected. Pairwise as well as multiple sequence comparisons are computed. Second, binding site descriptions (position-weight matrices) are employed to predict conserved regulatory elements with a novel approach. Assembled EST sequences and verified transcription start sites are incorporated to distinguish exonic from other sequences.</p> <p>As of now, we have included 5 species in our analysis pipeline (man, mouse, rat, fugu and zebrafish). We characterized promoter regions of 16,127 groups of orthologous genes. All data are presented in an intuitive way via our web site. Users are free to export data for single genes or access larger data sets via our DAS server <url>http://tomcat.molgen.mpg.de:8080/das</url>. The benefits of our framework are exemplarily shown in the context of phylogenetic profiling of transcription factor binding sites and detection of microRNAs close to transcription start sites of our gene set.</p> <p>Conclusion</p> <p>The CORG platform is a versatile tool to support analyses of gene regulation in vertebrate promoter regions. Applications for CORG cover a broad range from studying evolution of DNA binding sites and promoter constitution to the discovery of new regulatory sequence elements (e.g. microRNAs and binding sites).</p> http://www.biomedcentral.com/1471-2164/6/24
collection DOAJ
language English
format Article
sources DOAJ
author Arndt Peter F
Röpcke Stefan
Tanzer Andrea
Grossmann Steffen
Dieterich Christoph
Stadler Peter F
Vingron Martin
spellingShingle Arndt Peter F
Röpcke Stefan
Tanzer Andrea
Grossmann Steffen
Dieterich Christoph
Stadler Peter F
Vingron Martin
Comparative promoter region analysis powered by CORG
BMC Genomics
author_facet Arndt Peter F
Röpcke Stefan
Tanzer Andrea
Grossmann Steffen
Dieterich Christoph
Stadler Peter F
Vingron Martin
author_sort Arndt Peter F
title Comparative promoter region analysis powered by CORG
title_short Comparative promoter region analysis powered by CORG
title_full Comparative promoter region analysis powered by CORG
title_fullStr Comparative promoter region analysis powered by CORG
title_full_unstemmed Comparative promoter region analysis powered by CORG
title_sort comparative promoter region analysis powered by corg
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2005-02-01
description <p>Abstract</p> <p>Background</p> <p>Promoters are key players in gene regulation. They receive signals from various sources (e.g. cell surface receptors) and control the level of transcription initiation, which largely determines gene expression. In vertebrates, transcription start sites and surrounding regulatory elements are often poorly defined. To support promoter analysis, we present CORG <url>http://corg.molgen.mpg.de</url>, a framework for studying upstream regions including untranslated exons (5' UTR).</p> <p>Description</p> <p>The automated annotation of promoter regions integrates information of two kinds. First, statistically significant cross-species conservation within upstream regions of orthologous genes is detected. Pairwise as well as multiple sequence comparisons are computed. Second, binding site descriptions (position-weight matrices) are employed to predict conserved regulatory elements with a novel approach. Assembled EST sequences and verified transcription start sites are incorporated to distinguish exonic from other sequences.</p> <p>As of now, we have included 5 species in our analysis pipeline (man, mouse, rat, fugu and zebrafish). We characterized promoter regions of 16,127 groups of orthologous genes. All data are presented in an intuitive way via our web site. Users are free to export data for single genes or access larger data sets via our DAS server <url>http://tomcat.molgen.mpg.de:8080/das</url>. The benefits of our framework are exemplarily shown in the context of phylogenetic profiling of transcription factor binding sites and detection of microRNAs close to transcription start sites of our gene set.</p> <p>Conclusion</p> <p>The CORG platform is a versatile tool to support analyses of gene regulation in vertebrate promoter regions. Applications for CORG cover a broad range from studying evolution of DNA binding sites and promoter constitution to the discovery of new regulatory sequence elements (e.g. microRNAs and binding sites).</p>
url http://www.biomedcentral.com/1471-2164/6/24
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