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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...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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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. |
format | Text |
id | pubmed-2790304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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