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MUT-TP53 2.0: a novel versatile matrix for statistical analysis of TP53 mutations in human cancer

✍ Scribed by Thierry Soussi; Dalil Hamroun; Linn Hjortsberg; Jean Michel Rubio-Nevado; Jean Louis Fournier; Christophe Béroud


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
240 KB
Volume
31
Category
Article
ISSN
1059-7794

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✦ Synopsis


Analysis of the literature reporting p53 mutations shows that 8% of report display typographical mistakes with a notable increase in recent years. These errors are sometimes isolated, but in some cases, they concern several or even all mutations described in a single article. Furthermore, some works report unusual profile of p53 mutations whose accuracy is difficult to assess. To handle these problems we have developed MUT-TP53 2.0, an accurate and powerful tool that will automatically handle p53 mutations and generate tables ready for publication that will lower the risk of typographical errors. Furthermore, using functional and statistical information issued from the UMD p53 database, it allows to assess the biological activity and the likelihood of every p53 mutant.


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A detailed analysis of p53 (TP53) mutations involving the 42 CpG dinucleotides was performed to gain greater insight into the mutational mechanism leading to specific selection of these mutations. Although the majority of these CpG dinucleotides have been found to be mutated in cancer cells, the het