Evidence map›Paper›PMID 18187580›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Functional evolution of the p53 regulatory network through its target response elements.

Anil G Jegga, Alberto Inga, Daniel Menendez, Bruce J Aronow, Michael A Resnick

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
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  5. NAR cancer · 2023
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  8. Regulating tumor suppressor genes: post-translational modifications.Signal transduction and targeted therapy · 2020
    Review
  9. A Protein in the YeastBiomolecules · 2020
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. The DNA damage-induced cell death response: a roadmap to kill cancer cells.Cellular and molecular life sciences : CMLS · 2016
    Review
  18. Article
  19. Article
  20. Article
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

5 authors at 3 institutions in 2 countries.

Anil G JeggaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229-3039, USA.
Alberto Inga
Daniel Menendez
Bruce J Aronow
Michael A Resnick
Cincinnati Children's Hospital Medical Center · USNational Institute of Environmental Health Sciences · USNational Institutes of Health · US

Funding

MOUSE MODELS OF GASTROINTESTINAL CANCERU01CA084291 · NCI · UNIVERSITY OF CINCINNATI · PI GRODEN, JOANNA LOUISE · 1999 to 2008
$6.6M
ISOLATION &CHARACTERIZATION OF GENES AFFECTING YEAST CHROMOSOME METABOLISMZ01ES065079 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RESNICK, MICHAEL A · 1994 to 2008
$1.8M
Intramural NIH HHSNCI NIH HHS U01 CA084291NCI NIH HHS UO1 CA84291-07
6 · The paper itself

Abstract

Transcriptional network evolution is central to the development of complex biological systems. Networks can evolve through variation of master regulators and/or by changes in regulation of genes within networks. To gain insight into meaningful evolutionary differences in large networks, it is essential to address the functional consequences of sequence differences in response elements (REs) targeted by transcription factors. Using a combination of custom bioinformatics and multispecies alignment of promoter regions, we investigated the functional evolution of REs in terms of responsiveness to the sequence-specific transcription factor p53, a tumor suppressor and master regulator of stress responses. We identified REs orthologous to known p53 targets in human and rodent cells or alternatively REs related to the established p53 consensus. The orthologous REs were assigned p53 transactivation capabilities based on rules determined from model systems, and a functional heat map was developed to visually summarize conservation of sequence and relative level of responsiveness to p53 for 47 REs in 14 species. Individual REs exhibited marked differences in transactivation potentials and widespread evolutionary turnover. Functional differences were often not predicted from consensus sequence evaluations. Of the established human p53 REs analyzed, 91% had sequence conservation in at least one nonprimate species compared with 67.5% for functional conservation. Surprisingly, there was almost no conservation of functional REs for genes involved in DNA metabolism or repair between humans and rodents, suggesting important differences in p53 stress responses and cancer development.

Indexed as

Evolution, MolecularAnimalsCell LineGene Regulatory NetworksHumansMicePhylogenyPromoter Regions, GeneticResponse ElementsSaccharomyces cerevisiaeSubstrate SpecificityTranscriptional ActivationTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID18187580
PMCPMC2242714
OpenAlexW2035066592

What OpenQuestion holds

Textmetadata
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.