Evidence map›Paper›PMID 18474530›Full record

ArticleNucleic acids research2008

Characterization of genome-wide p53-binding sites upon stress response.

Leonie Smeenk, Simon J van Heeringen, Max Koeppel, Marc A van Driel, Stefanie J J Bartels, Robert C Akkers, Sergei Denissov, Hendrik G Stunnenberg, Marion Lohrum

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 3 pooled it
8.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

142 citing papers in PubMed, 3 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. On the Origin of Biomolecular Networks.Frontiers in genetics · 2019
    Pooled it
  2. A systematic review of p53 regulation of oxidative stress in skeletal muscle.Redox report : communications in free radical research · 2018
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
  7. Shared gene targets of the ATF4 and p53 transcriptional networks.bioRxiv : the preprint server for biology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Correlated gene modules uncovered by high-precision single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Structural diversity of p63 and p73 isoforms.Cell death and differentiation · 2022
    Review
  14. Analysis of the p53/microRNA Network in Cancer.Advances in experimental medicine and biology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Molecular biology of the cell · 2019
    Article

82 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Leonie SmeenkDepartment of Molecular Biology, Faculty of Science, Nijmegen Centre for Molecular Life Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands.
Simon J van Heeringen
Max Koeppel
Marc A van Driel
Stefanie J J Bartels
Robert C Akkers
Sergei Denissov
Hendrik G Stunnenberg
Marion Lohrum
Radboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor p53 is a sequence-specific transcription factor, which regulates the expression of target genes involved in different stress responses. To understand p53's essential transcriptional functions, unbiased analysis of its DNA-binding repertoire is pivotal. In a genome-wide tiling ChIP-on-chip approach, we have identified and characterized 1546 binding sites of p53 upon Actinomycin D treatment. Among those binding sites were known as well as novel p53 target sites, which included regulatory regions of potentially novel transcripts. Using this collection of genome-wide binding sites, a new high-confidence algorithm was developed, p53scan, to identify the p53 consensus-binding motif. Strikingly, this motif was present in the majority of all bound sequences with 83% of all binding sites containing the motif. In the surrounding sequences of the binding sites, several motifs for potential regulatory cobinders were identified. Finally, we show that the majority of the genome-wide p53 target sites can also be bound by overexpressed p63 and p73 in vivo, suggesting that they can possibly play an important role at p53 binding sites. This emphasizes the possible interplay of p53 and its family members in the context of target gene binding. Our study greatly expands the known, experimentally validated p53 binding site repertoire and serves as a valuable knowledgebase for future research.

Indexed as

Regulatory Elements, TranscriptionalAlgorithmsBase SequenceBinding SitesCell Line, TumorChromatin ImmunoprecipitationConsensus SequenceDactinomycinDNA-Binding ProteinsGenomicsHumansNuclear ProteinsOligonucleotide Array Sequence AnalysisTranscription FactorsTumor Protein p73Tumor Suppressor Protein p53DactinomycinDNA-Binding ProteinsNuclear ProteinsTP73 protein, humanTranscription FactorsTumor Protein p73Tumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID18474530
PMCPMC2441782
OpenAlexW2133373613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.