p53MutaGene 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.
CITATION STYLE
Amelio, I., Knight, R. A., Lisitsa, A., Melino, G., & Antonov, A. V. (2016). p53MutaGene: An online tool to estimate the effect of p53 mutational status on gene regulation in cancer. Cell Death and Disease, 7(3). https://doi.org/10.1038/cddis.2016.42
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