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SIEGE: Smoking Induced Epithelial Gene Expression Database

The SIEGE (Smoking Induced Epithelial Gene Expression) database is a clinical resource for compiling and analyzing gene expression data from epithelial cells of the human intra-thoracic airway. This database supports a translational research study whose goal is to profile the changes in airway gene...

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Detalles Bibliográficos
Autores principales: Shah, Vishal, Sridhar, Sriram, Beane, Jennifer, Brody, Jerome S., Spira, Avrum
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539989/
https://www.ncbi.nlm.nih.gov/pubmed/15608264
http://dx.doi.org/10.1093/nar/gki035
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author Shah, Vishal
Sridhar, Sriram
Beane, Jennifer
Brody, Jerome S.
Spira, Avrum
author_facet Shah, Vishal
Sridhar, Sriram
Beane, Jennifer
Brody, Jerome S.
Spira, Avrum
author_sort Shah, Vishal
collection PubMed
description The SIEGE (Smoking Induced Epithelial Gene Expression) database is a clinical resource for compiling and analyzing gene expression data from epithelial cells of the human intra-thoracic airway. This database supports a translational research study whose goal is to profile the changes in airway gene expression that are induced by cigarette smoke. RNA is isolated from airway epithelium obtained at bronchoscopy from current-, former- and never-smoker subjects, and hybridized to Affymetrix HG-U133A Genechips, which measure the level of expression of ∼22 500 human transcripts. The microarray data generated along with relevant patient information is uploaded to SIEGE by study administrators using the database's web interface, found at http://pulm.bumc.bu.edu/siegeDB. PERL-coded scripts integrated with SIEGE perform various quality control functions including the processing, filtering and formatting of stored data. The R statistical package is used to import database expression values and execute a number of statistical analyses including t-tests, correlation coefficients and hierarchical clustering. Values from all statistical analyses can be queried through CGI-based tools and web forms found on the ‘Search’ section of the database website. Query results are embedded with graphical capabilities as well as with links to other databases containing valuable gene resources, including Entrez Gene, GO, Biocarta, GeneCards, dbSNP and the NCBI Map Viewer.
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spelling pubmed-5399892005-01-04 SIEGE: Smoking Induced Epithelial Gene Expression Database Shah, Vishal Sridhar, Sriram Beane, Jennifer Brody, Jerome S. Spira, Avrum Nucleic Acids Res Articles The SIEGE (Smoking Induced Epithelial Gene Expression) database is a clinical resource for compiling and analyzing gene expression data from epithelial cells of the human intra-thoracic airway. This database supports a translational research study whose goal is to profile the changes in airway gene expression that are induced by cigarette smoke. RNA is isolated from airway epithelium obtained at bronchoscopy from current-, former- and never-smoker subjects, and hybridized to Affymetrix HG-U133A Genechips, which measure the level of expression of ∼22 500 human transcripts. The microarray data generated along with relevant patient information is uploaded to SIEGE by study administrators using the database's web interface, found at http://pulm.bumc.bu.edu/siegeDB. PERL-coded scripts integrated with SIEGE perform various quality control functions including the processing, filtering and formatting of stored data. The R statistical package is used to import database expression values and execute a number of statistical analyses including t-tests, correlation coefficients and hierarchical clustering. Values from all statistical analyses can be queried through CGI-based tools and web forms found on the ‘Search’ section of the database website. Query results are embedded with graphical capabilities as well as with links to other databases containing valuable gene resources, including Entrez Gene, GO, Biocarta, GeneCards, dbSNP and the NCBI Map Viewer. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC539989/ /pubmed/15608264 http://dx.doi.org/10.1093/nar/gki035 Text en Copyright © 2005 Oxford University Press
spellingShingle Articles
Shah, Vishal
Sridhar, Sriram
Beane, Jennifer
Brody, Jerome S.
Spira, Avrum
SIEGE: Smoking Induced Epithelial Gene Expression Database
title SIEGE: Smoking Induced Epithelial Gene Expression Database
title_full SIEGE: Smoking Induced Epithelial Gene Expression Database
title_fullStr SIEGE: Smoking Induced Epithelial Gene Expression Database
title_full_unstemmed SIEGE: Smoking Induced Epithelial Gene Expression Database
title_short SIEGE: Smoking Induced Epithelial Gene Expression Database
title_sort siege: smoking induced epithelial gene expression database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539989/
https://www.ncbi.nlm.nih.gov/pubmed/15608264
http://dx.doi.org/10.1093/nar/gki035
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