p53MutaGene : an online tool to estimate the effect of p53 mutational status on gene regulation in cancer

dc.contributor.authorAmelio, Ivano
dc.contributor.authorKnight, Richard A.
dc.contributor.authorLisitsa, Andrey
dc.contributor.authorMelino, Gerry
dc.contributor.authorAntonov, Alexey V.
dc.date.accessioned2022-03-31T12:41:14Z
dc.date.available2022-03-31T12:41:14Z
dc.date.issued2016-03-17eng
dc.description.abstractp53MutaGene is the first online tool for statistical validation of hypotheses regarding the effect of p53 mutational status on gene regulation in cancer. This tool is based on several large-scale clinical gene expression data sets and currently covers breast, colon and lung cancers. The tool detects differential co-expression patterns in expression data between p53 mutated versus p53 normal samples for the user-specified genes. Statistically significant differential co-expression for a gene pair is indicative that regulation of two genes is sensitive to the presence of p53 mutations. p53MutaGene can be used in 'single mode' where the user can test a specific pair of genes or in 'discovery mode' designed for analysis of several genes. Using several examples, we demonstrate that p53MutaGene is a useful tool for fast statistical validation in clinical data of p53-dependent gene regulation patterns. The tool is freely available at http://www.bioprofiling.de/tp53.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1038/cddis.2016.42eng
dc.identifier.pmid26986515eng
dc.identifier.ppn1797139665
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/57117
dc.language.isoengeng
dc.rightsterms-of-use
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dc.subject.ddc570eng
dc.titlep53MutaGene : an online tool to estimate the effect of p53 mutational status on gene regulation in cancereng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
kops.citation.bibtex
@article{Amelio2016-03-17p53Mu-57117,
  year={2016},
  doi={10.1038/cddis.2016.42},
  title={p53MutaGene : an online tool to estimate the effect of p53 mutational status on gene regulation in cancer},
  volume={7},
  journal={Cell death & disease},
  author={Amelio, Ivano and Knight, Richard A. and Lisitsa, Andrey and Melino, Gerry and Antonov, Alexey V.},
  note={Article Number: e2148}
}
kops.citation.iso690AMELIO, Ivano, Richard A. KNIGHT, Andrey LISITSA, Gerry MELINO, Alexey V. ANTONOV, 2016. p53MutaGene : an online tool to estimate the effect of p53 mutational status on gene regulation in cancer. In: Cell death & disease. Nature Publishing Group. 2016, 7, e2148. eISSN 2041-4889. Available under: doi: 10.1038/cddis.2016.42deu
kops.citation.iso690AMELIO, Ivano, Richard A. KNIGHT, Andrey LISITSA, Gerry MELINO, Alexey V. ANTONOV, 2016. p53MutaGene : an online tool to estimate the effect of p53 mutational status on gene regulation in cancer. In: Cell death & disease. Nature Publishing Group. 2016, 7, e2148. eISSN 2041-4889. Available under: doi: 10.1038/cddis.2016.42eng
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kops.sourcefieldCell death & disease. Nature Publishing Group. 2016, <b>7</b>, e2148. eISSN 2041-4889. Available under: doi: 10.1038/cddis.2016.42deu
kops.sourcefield.plainCell death & disease. Nature Publishing Group. 2016, 7, e2148. eISSN 2041-4889. Available under: doi: 10.1038/cddis.2016.42deu
kops.sourcefield.plainCell death & disease. Nature Publishing Group. 2016, 7, e2148. eISSN 2041-4889. Available under: doi: 10.1038/cddis.2016.42eng
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source.periodicalTitleCell death & diseaseeng
source.publisherNature Publishing Groupeng

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