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Related Experiment Videos

The UMD TP53 database and website: update and revisions.

Dalil Hamroun1, Shunsuke Kato, Chikashi Ishioka

  • 1Laboratoire de Génétique Moléculaire et Chromosomique, Institut Universitaire de Recherche Clinique et CHU, CNRS UPR 1142, Montpellier, France.

Human Mutation
|November 10, 2005
PubMed
Summary

The TP53 mutation database now includes structural and biological data for wild-type (wt) and mutant TP53. This expanded resource offers valuable insights for cancer research and clinical applications.

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Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • TP53 gene mutations are the most common genetic alterations in human cancers.
  • Over 22,000 TP53 mutations have been documented across numerous scientific publications.
  • A comprehensive database and analysis software were initially developed in 1991 to manage this extensive data.

Purpose of the Study:

  • To expand the existing TP53 mutation database by integrating diverse biological and structural information.
  • To provide a centralized, user-friendly resource for clinicians and researchers studying TP53 mutations.
  • To enhance the accuracy and utility of TP53 mutation data available in the scientific literature.

Main Methods:

  • Development and expansion of a specialized database for TP53 gene mutations.

Related Experiment Videos

  • Integration of structural, phylogenetic, and biological activity data for wild-type (wt) and mutant TP53.
  • Creation of a new website to host the integrated database and provide access to analysis tools.

    • Main Results:

    • The database now encompasses comprehensive information on wild-type (wt) and mutant TP53.
    • A dedicated TP53 mutant activity database has been integrated, offering unique insights.
    • A new website provides detailed information for each TP53 mutant and includes error-checking tools.

    Conclusions:

    • The expanded TP53 database serves as a valuable resource for both clinical and scientific endeavors.
    • The integrated data facilitates a deeper understanding of TP53 mutation effects in cancer.
    • New tools are available to improve the accuracy of TP53 mutation data analysis and reporting.