Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

p53 and APC gene mutations: software and databases

C Béroud1, T Soussi

  • 1Hôpital Necker Enfants Malades, U383 INSERM, Paris, France.

Nucleic Acids Research
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification of novel pathogenic copy number variations in Charcot-Marie-Tooth disease.

Journal of human genetics·2019
Same author

MDM2-TP53 Crossregulation: An Underestimated Target to Promote Loss of TP53 Function and Cell Survival.

Trends in cancer·2018
Same author

ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-update on methodological approaches and results interpretation.

Leukemia·2018
Same author

Genetic profiling of CLL: a 'TP53 addict' perspective.

Cell death & disease·2016
Same author

Consideration surrounding incidental findings throughout multigene panel testing in cancer genetics.

Clinical genetics·2015
Same author

TP53: an oncogene in disguise.

Cell death and differentiation·2015
Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026
Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026
Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026
Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026
Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026
Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026
See all related articles

New data on Adenomatous Polyposis Coli (APC) and p53 tumor suppressor gene mutations in cancer are now available. Improved analysis software allows for comprehensive study of these genetic alterations.

Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • Tumor suppressor genes, specifically Adenomatous Polyposis Coli (APC) and p53, play critical roles in cancer development.
  • Numerous mutations in APC and p53 have been identified across various cancer types.
  • Previous analyses were limited by the scope of available mutation data.

Purpose of the Study:

  • To incorporate a large number of newly identified APC and p53 gene mutations into a comprehensive database.
  • To describe software improvements enabling advanced analysis of the expanded mutation dataset.
  • To provide an updated resource for cancer genetic research.

Main Methods:

  • Data collection and integration of newly identified APC and p53 mutations.
  • Software development and enhancement for analyzing large-scale genetic mutation data.

Related Experiment Videos

  • Database version control and documentation of improvements.
  • Main Results:

    • A substantial increase in the number of documented APC and p53 mutations.
    • Enhanced analytical capabilities through improved software, facilitating new research avenues.
    • The database now captures a more complete spectrum of these critical gene mutations.

    Conclusions:

    • The expanded database and improved software provide a powerful resource for understanding cancer genetics.
    • Further research into APC and p53 mutations is facilitated by the enhanced data accessibility and analytical tools.
    • This work supports advancements in the diagnosis and potential treatment of various cancers.