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KBERG: KnowledgeBase for Estrogen Responsive Genes

Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database (ERG...

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Detalles Bibliográficos
Autores principales: Tang, Suisheng, Zhang, Zhuo, Tan, Sin Lam, Tang, Man-Hung Eric, Kumar, Arun Prashanth, Ramadoss, Suresh Kumar, Bajic, Vladimir B.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669744/
https://www.ncbi.nlm.nih.gov/pubmed/17090589
http://dx.doi.org/10.1093/nar/gkl816
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author Tang, Suisheng
Zhang, Zhuo
Tan, Sin Lam
Tang, Man-Hung Eric
Kumar, Arun Prashanth
Ramadoss, Suresh Kumar
Bajic, Vladimir B.
author_facet Tang, Suisheng
Zhang, Zhuo
Tan, Sin Lam
Tang, Man-Hung Eric
Kumar, Arun Prashanth
Ramadoss, Suresh Kumar
Bajic, Vladimir B.
author_sort Tang, Suisheng
collection PubMed
description Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database (ERGDB) and were analyzed from multiple aspects. We explored the possible transcription regulation mechanism by capturing highly conserved promoter motifs across orthologous genes, using promoter regions that cover the range of [−1200, +500] relative to the transcription start sites. The motif detection is based on ab initio discovery of common cis-elements from the orthologous gene cluster from human, mouse and rat, thus reflecting a degree of promoter sequence preservation during evolution. The identified motifs are linked to transcription factor binding sites based on the TRANSFAC database. In addition, KBERG uses two established ontology systems, GO and eVOC, to associate genes with their function. Users may assess gene functionality through the description terms in GO. Alternatively, they can gain gene co-expression information through evidence from human EST libraries via eVOC. KBERG is a user-friendly system that provides links to other relevant resources such as ERGDB, UniGene, Entrez Gene, HomoloGene, GO, eVOC and GenBank, and thus offers a platform for functional exploration and potential annotation of genes responsive to estrogen. KBERG database can be accessed at .
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spelling pubmed-16697442007-02-22 KBERG: KnowledgeBase for Estrogen Responsive Genes Tang, Suisheng Zhang, Zhuo Tan, Sin Lam Tang, Man-Hung Eric Kumar, Arun Prashanth Ramadoss, Suresh Kumar Bajic, Vladimir B. Nucleic Acids Res Articles Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database (ERGDB) and were analyzed from multiple aspects. We explored the possible transcription regulation mechanism by capturing highly conserved promoter motifs across orthologous genes, using promoter regions that cover the range of [−1200, +500] relative to the transcription start sites. The motif detection is based on ab initio discovery of common cis-elements from the orthologous gene cluster from human, mouse and rat, thus reflecting a degree of promoter sequence preservation during evolution. The identified motifs are linked to transcription factor binding sites based on the TRANSFAC database. In addition, KBERG uses two established ontology systems, GO and eVOC, to associate genes with their function. Users may assess gene functionality through the description terms in GO. Alternatively, they can gain gene co-expression information through evidence from human EST libraries via eVOC. KBERG is a user-friendly system that provides links to other relevant resources such as ERGDB, UniGene, Entrez Gene, HomoloGene, GO, eVOC and GenBank, and thus offers a platform for functional exploration and potential annotation of genes responsive to estrogen. KBERG database can be accessed at . Oxford University Press 2007-01 2006-11-07 /pmc/articles/PMC1669744/ /pubmed/17090589 http://dx.doi.org/10.1093/nar/gkl816 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Tang, Suisheng
Zhang, Zhuo
Tan, Sin Lam
Tang, Man-Hung Eric
Kumar, Arun Prashanth
Ramadoss, Suresh Kumar
Bajic, Vladimir B.
KBERG: KnowledgeBase for Estrogen Responsive Genes
title KBERG: KnowledgeBase for Estrogen Responsive Genes
title_full KBERG: KnowledgeBase for Estrogen Responsive Genes
title_fullStr KBERG: KnowledgeBase for Estrogen Responsive Genes
title_full_unstemmed KBERG: KnowledgeBase for Estrogen Responsive Genes
title_short KBERG: KnowledgeBase for Estrogen Responsive Genes
title_sort kberg: knowledgebase for estrogen responsive genes
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669744/
https://www.ncbi.nlm.nih.gov/pubmed/17090589
http://dx.doi.org/10.1093/nar/gkl816
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AT tangmanhungeric kbergknowledgebaseforestrogenresponsivegenes
AT kumararunprashanth kbergknowledgebaseforestrogenresponsivegenes
AT ramadosssureshkumar kbergknowledgebaseforestrogenresponsivegenes
AT bajicvladimirb kbergknowledgebaseforestrogenresponsivegenes