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

The tumour suppressor gene TP53 encodes the DNA binding transcription factor p53 and is one of the most mutated genes in human cancer. Tumour suppressor activity requires binding of p53 to its DNA response elements and subsequent transcriptional activation of a diverse set of target genes. Despite decades of close study, the logic underlying p53 interactions with its numerous potential genomic binding sites and target genes is not yet fully understood. Here, we present a database of DNA and chromatin-based information focused on putative p53 binding sites in the human genome to allow users to generate and test new hypotheses related to p53 activity in the genome. Users can query genomic locations based on experimentally observed p53 binding, regulatory element activity, genetic variation, evolutionary conservation, chromatin modification state, and chromatin structure. We present multiple use cases demonstrating the utility of this database for generating novel biological hypotheses, such as chromatin-based determinants of p53 binding and potential cell type-specific p53 activity. All database information is also available as a precompiled SQLite database for use in local analysis or as a Shiny web application. Database URL: https://p53motifDB.its.albany.edu.

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Database
Published
2025-01-01
DOI
https://doi.org/10.1093/database/baaf053
Primary Topic
Cancer-related Molecular Pathways
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Gabriele Baniulyte, Sawyer M Hicks, Morgan A. Sammons
Database
Cancer-related Molecular Pathways
article

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

Gabriele Baniulyte, Sawyer M Hicks, Morgan A. Sammons
article en

Abstract

The tumour suppressor gene TP53 encodes the DNA binding transcription factor p53 and is one of the most mutated genes in human cancer. Tumour suppressor activity requires binding of p53 to its DNA response elements and subsequent transcriptional activation of a diverse set of target genes. Despite decades of close study, the logic underlying p53 interactions with its numerous potential genomic binding sites and target genes is not yet fully understood. Here, we present a database of DNA and chromatin-based information focused on putative p53 binding sites in the human genome to allow users to generate and test new hypotheses related to p53 activity in the genome. Users can query genomic locations based on experimentally observed p53 binding, regulatory element activity, genetic variation, evolutionary conservation, chromatin modification state, and chromatin structure. We present multiple use cases demonstrating the utility of this database for generating novel biological hypotheses, such as chromatin-based determinants of p53 binding and potential cell type-specific p53 activity. All database information is also available as a precompiled SQLite database for use in local analysis or as a Shiny web application. Database URL: https://p53motifDB.its.albany.edu.

DatabaseVol. 2025
University at Albany, State University of New York (US)
Canadian Centre for Applied Research in Cancer Control, National Institutes of Health, University at Albany
Openalex Percentile: Top 64%
Cancer-related Molecular Pathways
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