Literature DB >> 8044795

Database and software for the analysis of mutations in the human p53 gene.

N F Cariello1, L Cui, C Beroud, T Soussi.   

Abstract

Mutations of the human p53 gene are of importance in the development of cancer. Perhaps 50% of all human cancers contain a mutation in the p53 oncogene and many laboratories are investigating mutations at this locus. In an effort to centralize and standardize the information regarding human p53 mutations, we have created a computerized database that contains information about DNA sequence alterations for > 3000 p53 mutants. Information on the cancer type, the origin of the cells, the specific mutation, the amino acid change, the literature citation, and other data are provided for each mutant. We have also produced a software package for the analysis of the p53 database. Routines have been developed for the analysis of single-base substitutions, including programs to (a) determine whether two mutational spectra are different, (b) display the number of mutations and mutable sites in each exon, (c) determine whether mutations show a DNA strand bias, (d) determine the frequency of transitions and transversions, (e) display the number and kind of mutations observed at each base in the coding region, (f) perform nearest neighbor analysis, and (g) display mutable amino acids in the p53 protein. The software runs only on IBM-compatible machines with MS-DOS. The software and p53 database are freely available via the Internet, using the remote file transfer protocol. These programs simplify the analysis of the rapidly increasing body of information about p53 mutations. The programs permit facile comparison between different p53 data sets, as well as the identification of mutational patterns that may be of importance to experimenters studying the mechanisms of mutation and the etiology of cancers.

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Year:  1994        PMID: 8044795

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  17 in total

1.  Protein kinase CK2 interacts with a multi-protein binding domain of p53.

Authors:  C Götz; P Scholtes; A Prowald; N Schuster; W Nastainczyk; M Montenarh
Journal:  Mol Cell Biochem       Date:  1999-01       Impact factor: 3.396

2.  Renewable standard reference material for the detection of TP53 mutations.

Authors:  Catherine D O'Connell; Lois A Tully; Joseph M Devaney; Michael A Marino; John P Jakupciak; Donald H Atha
Journal:  Mol Diagn       Date:  2003

3.  Sensitive and reliable PCR and sequencing used to detect p53 point mutations in fine needle aspirates of the breast.

Authors:  G P Howes; J Stephenson; S Humphreys
Journal:  J Clin Pathol       Date:  1996-07       Impact factor: 3.411

4.  Databases and software for the analysis of mutations in the human p53 gene, human hprt gene and both the lacI and lacZ gene in transgenic rodents.

Authors:  N F Cariello; G R Douglas; N J Gorelick; D W Hart; J D Wilson; T Soussi
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

5.  Databases and software for the analysis of mutations in the human p53 gene, the human hprt gene and both the lacI and lacZ gene in transgenic rodents.

Authors:  N F Cariello; G R Douglas; M J Dycaico; N J Gorelick; G S Provost; T Soussi
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

Review 6.  The role of p53 in human cancer.

Authors:  D Malkin
Journal:  J Neurooncol       Date:  2001-02       Impact factor: 4.130

7.  Databases and software for the analysis of mutations in the human p53 gene, the human hprt gene and the lacZ gene in transgenic rodents.

Authors:  N F Cariello; G R Douglas; T Soussi
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

Review 8.  The molecular genetics of Marfan syndrome and related disorders.

Authors:  P N Robinson; E Arteaga-Solis; C Baldock; G Collod-Béroud; P Booms; A De Paepe; H C Dietz; G Guo; P A Handford; D P Judge; C M Kielty; B Loeys; D M Milewicz; A Ney; F Ramirez; D P Reinhardt; K Tiedemann; P Whiteman; M Godfrey
Journal:  J Med Genet       Date:  2006-03-29       Impact factor: 6.318

9.  A meanfield approach to the thermodynamics of a protein-solvent system with application to the oligomerization of the tumor suppressor p53.

Authors:  J Noolandi; T S Davison; A R Volkel; X Nie; C Kay; C H Arrowsmith
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

10.  Databases and QSAR for cancer research.

Authors:  Adeel Malik; Hemajit Singh; Munazah Andrabi; Syed Akhtar Husain; Shandar Ahmad
Journal:  Cancer Inform       Date:  2007-02-15
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