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Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells

The analysis of the great extent of data generated by using DNA microarrays technologies has shown that the transcriptional response to radiation can be considerably different depending on the quality, the dose range and dose rate of radiation, as well as the timing selected for the analysis. At pre...

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Autores principales: Chiani, Francesco, Iannone, Camilla, Negri, Rodolfo, Paoletti, Daniele, D’Antonio, Mattia, De Meo, Paolo D’onorio, Castrignanò, Tiziana
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2790304/
https://www.ncbi.nlm.nih.gov/pubmed/20157480
http://dx.doi.org/10.1093/database/bap007
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author Chiani, Francesco
Iannone, Camilla
Negri, Rodolfo
Paoletti, Daniele
D’Antonio, Mattia
De Meo, Paolo D’onorio
Castrignanò, Tiziana
author_facet Chiani, Francesco
Iannone, Camilla
Negri, Rodolfo
Paoletti, Daniele
D’Antonio, Mattia
De Meo, Paolo D’onorio
Castrignanò, Tiziana
author_sort Chiani, Francesco
collection PubMed
description The analysis of the great extent of data generated by using DNA microarrays technologies has shown that the transcriptional response to radiation can be considerably different depending on the quality, the dose range and dose rate of radiation, as well as the timing selected for the analysis. At present, it is very difficult to integrate data obtained under several experimental conditions in different biological systems to reach overall conclusions or build regulatory models which may be tested and validated. In fact, most available data is buried in different websites, public or private, in general or local repositories or in files included in published papers; it is often in various formats, which makes a wide comparison even more difficult. The Radiation Genes Database (http://www.caspur.it/RadiationGenes) collects microarrays data from various local and public repositories or from published papers and supplementary materials. The database classifies it in terms of significant variables, such as radiation quality, dose, dose rate and sampling timing, as to provide user-friendly tools to facilitate data integration and comparison.
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spelling pubmed-27903042009-12-08 Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells Chiani, Francesco Iannone, Camilla Negri, Rodolfo Paoletti, Daniele D’Antonio, Mattia De Meo, Paolo D’onorio Castrignanò, Tiziana Database (Oxford) Original Article The analysis of the great extent of data generated by using DNA microarrays technologies has shown that the transcriptional response to radiation can be considerably different depending on the quality, the dose range and dose rate of radiation, as well as the timing selected for the analysis. At present, it is very difficult to integrate data obtained under several experimental conditions in different biological systems to reach overall conclusions or build regulatory models which may be tested and validated. In fact, most available data is buried in different websites, public or private, in general or local repositories or in files included in published papers; it is often in various formats, which makes a wide comparison even more difficult. The Radiation Genes Database (http://www.caspur.it/RadiationGenes) collects microarrays data from various local and public repositories or from published papers and supplementary materials. The database classifies it in terms of significant variables, such as radiation quality, dose, dose rate and sampling timing, as to provide user-friendly tools to facilitate data integration and comparison. Oxford University Press 2009 2009-07-28 /pmc/articles/PMC2790304/ /pubmed/20157480 http://dx.doi.org/10.1093/database/bap007 Text en © 2009 The Author(s). http://creativecommons.org/licenses/by-nc/2.0/uk/ This is 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 Original Article
Chiani, Francesco
Iannone, Camilla
Negri, Rodolfo
Paoletti, Daniele
D’Antonio, Mattia
De Meo, Paolo D’onorio
Castrignanò, Tiziana
Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
title Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
title_full Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
title_fullStr Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
title_full_unstemmed Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
title_short Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
title_sort radiation genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2790304/
https://www.ncbi.nlm.nih.gov/pubmed/20157480
http://dx.doi.org/10.1093/database/bap007
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