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DDEC: Dragon database of genes implicated in esophageal cancer

BACKGROUND: Esophageal cancer ranks eighth in order of cancer occurrence. Its lethality primarily stems from inability to detect the disease during the early organ-confined stage and the lack of effective therapies for advanced-stage disease. Moreover, the understanding of molecular processes involv...

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Autores principales: Essack, Magbubah, Radovanovic, Aleksandar, Schaefer, Ulf, Schmeier, Sebastian, Seshadri, Sundararajan V, Christoffels, Alan, Kaur, Mandeep, Bajic, Vladimir B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711974/
https://www.ncbi.nlm.nih.gov/pubmed/19580656
http://dx.doi.org/10.1186/1471-2407-9-219
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author Essack, Magbubah
Radovanovic, Aleksandar
Schaefer, Ulf
Schmeier, Sebastian
Seshadri, Sundararajan V
Christoffels, Alan
Kaur, Mandeep
Bajic, Vladimir B
author_facet Essack, Magbubah
Radovanovic, Aleksandar
Schaefer, Ulf
Schmeier, Sebastian
Seshadri, Sundararajan V
Christoffels, Alan
Kaur, Mandeep
Bajic, Vladimir B
author_sort Essack, Magbubah
collection PubMed
description BACKGROUND: Esophageal cancer ranks eighth in order of cancer occurrence. Its lethality primarily stems from inability to detect the disease during the early organ-confined stage and the lack of effective therapies for advanced-stage disease. Moreover, the understanding of molecular processes involved in esophageal cancer is not complete, hampering the development of efficient diagnostics and therapy. Efforts made by the scientific community to improve the survival rate of esophageal cancer have resulted in a wealth of scattered information that is difficult to find and not easily amendable to data-mining. To reduce this gap and to complement available cancer related bioinformatic resources, we have developed a comprehensive database (Dragon Database of Genes Implicated in Esophageal Cancer) with esophageal cancer related information, as an integrated knowledge database aimed at representing a gateway to esophageal cancer related data. DESCRIPTION: Manually curated 529 genes differentially expressed in EC are contained in the database. We extracted and analyzed the promoter regions of these genes and complemented gene-related information with transcription factors that potentially control them. We further, precompiled text-mined and data-mined reports about each of these genes to allow for easy exploration of information about associations of EC-implicated genes with other human genes and proteins, metabolites and enzymes, toxins, chemicals with pharmacological effects, disease concepts and human anatomy. The resulting database, DDEC, has a useful feature to display potential associations that are rarely reported and thus difficult to identify. Moreover, DDEC enables inspection of potentially new 'association hypotheses' generated based on the precompiled reports. CONCLUSION: We hope that this resource will serve as a useful complement to the existing public resources and as a good starting point for researchers and physicians interested in EC genetics. DDEC is freely accessible to academic and non-profit users at http://apps.sanbi.ac.za/ddec/. DDEC will be updated twice a year.
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spelling pubmed-27119742009-07-17 DDEC: Dragon database of genes implicated in esophageal cancer Essack, Magbubah Radovanovic, Aleksandar Schaefer, Ulf Schmeier, Sebastian Seshadri, Sundararajan V Christoffels, Alan Kaur, Mandeep Bajic, Vladimir B BMC Cancer Database BACKGROUND: Esophageal cancer ranks eighth in order of cancer occurrence. Its lethality primarily stems from inability to detect the disease during the early organ-confined stage and the lack of effective therapies for advanced-stage disease. Moreover, the understanding of molecular processes involved in esophageal cancer is not complete, hampering the development of efficient diagnostics and therapy. Efforts made by the scientific community to improve the survival rate of esophageal cancer have resulted in a wealth of scattered information that is difficult to find and not easily amendable to data-mining. To reduce this gap and to complement available cancer related bioinformatic resources, we have developed a comprehensive database (Dragon Database of Genes Implicated in Esophageal Cancer) with esophageal cancer related information, as an integrated knowledge database aimed at representing a gateway to esophageal cancer related data. DESCRIPTION: Manually curated 529 genes differentially expressed in EC are contained in the database. We extracted and analyzed the promoter regions of these genes and complemented gene-related information with transcription factors that potentially control them. We further, precompiled text-mined and data-mined reports about each of these genes to allow for easy exploration of information about associations of EC-implicated genes with other human genes and proteins, metabolites and enzymes, toxins, chemicals with pharmacological effects, disease concepts and human anatomy. The resulting database, DDEC, has a useful feature to display potential associations that are rarely reported and thus difficult to identify. Moreover, DDEC enables inspection of potentially new 'association hypotheses' generated based on the precompiled reports. CONCLUSION: We hope that this resource will serve as a useful complement to the existing public resources and as a good starting point for researchers and physicians interested in EC genetics. DDEC is freely accessible to academic and non-profit users at http://apps.sanbi.ac.za/ddec/. DDEC will be updated twice a year. BioMed Central 2009-07-06 /pmc/articles/PMC2711974/ /pubmed/19580656 http://dx.doi.org/10.1186/1471-2407-9-219 Text en Copyright ©2009 Essack et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Essack, Magbubah
Radovanovic, Aleksandar
Schaefer, Ulf
Schmeier, Sebastian
Seshadri, Sundararajan V
Christoffels, Alan
Kaur, Mandeep
Bajic, Vladimir B
DDEC: Dragon database of genes implicated in esophageal cancer
title DDEC: Dragon database of genes implicated in esophageal cancer
title_full DDEC: Dragon database of genes implicated in esophageal cancer
title_fullStr DDEC: Dragon database of genes implicated in esophageal cancer
title_full_unstemmed DDEC: Dragon database of genes implicated in esophageal cancer
title_short DDEC: Dragon database of genes implicated in esophageal cancer
title_sort ddec: dragon database of genes implicated in esophageal cancer
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711974/
https://www.ncbi.nlm.nih.gov/pubmed/19580656
http://dx.doi.org/10.1186/1471-2407-9-219
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