p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs

Gabriele Baniulyte1, Sawyer M Hicks1, Morgan A Sammons1

  • 1Department of Biological Sciences and the RNA Institute, University at Albany, SUNY, 1400 Washington Ave, Life Sciences Building Room 2078, Albany, NY 12222, United States.

Insights

The TP53 tumor suppressor gene

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Biology

Background:

  • The TP53 gene, encoding the p53 transcription factor, is crucial for tumor suppression.
  • p53 activity relies on binding DNA response elements to activate target genes.
  • Understanding p53's genomic interactions remains incomplete.

Purpose of the Study:

  • To present a comprehensive database of DNA and chromatin information for putative p53 binding sites.
  • To enable hypothesis generation and testing regarding p53's genome-wide activity.
  • To provide a resource for exploring p53's regulatory logic.

Main Methods:

  • Compilation of DNA and chromatin-based data for human p53 binding sites.
  • Development of a queryable database integrating multiple data types.
  • Creation of a SQLite database and Shiny web application for accessibility.

Main Results:

  • The database allows querying p53 binding sites by various genomic features.
  • Demonstrated utility in generating hypotheses on chromatin influence and cell-type specificity.
  • Provided a centralized resource for p53-centric genomic research.

Conclusions:

  • The p53 motif database facilitates novel hypothesis generation in cancer genomics.
  • It offers insights into the determinants of p53 binding and activity.
  • The resource supports further research into TP53's role in human cancer.

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