Evidence map›Paper›PMID 30710145›Full record

SynthesisOncogene2019

Conservation and divergence of the p53 gene regulatory network between mice and humans.

Martin Fischer

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncogene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
  9. Genes as Genome Stabilizers in Pluripotent Stem Cells.Advances in experimental medicine and biology · 2025
    Review
  10. Review
  11. iScience · 2024
    Article
  12. Article
  13. Optimal Inference of Hidden Markov Models Through Expert-Acquired Data.IEEE transactions on artificial intelligence · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. E2F7 drives autotaxin/Enpp2 transcription via chromosome looping: Repression by p53 in murine but not in human carcinomas.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  19. Article
  20. Shared gene targets of the ATF4 and p53 transcriptional networks.bioRxiv : the preprint server for biology · 2023
    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

1 author at 1 institution in 1 country.

Martin FischerComputational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), 07745, Jena, Germany. Martin.Fischer@leibniz-fli.de.ORCID http://orcid.org/0000-0002-3429-1876
Leibniz Association · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the p53 tumor suppressor pathway remains crucial for the design of anticancer strategies. Studies in human tumors and mouse models help to unravel the molecular mechanisms that underlie the p53 signaling pathway. Yet, the p53 gene regulatory network (GRN) is not the same in mice and humans. The comparison of the regulatory networks of p53 in mice and humans reveals that gene up- and down-regulation by p53 are distinctly affected during evolution. Importantly, gene up-regulation by p53 underwent more rapid evolution and gene down-regulation has been evolutionarily constrained. This difference stems from the two major mechanisms employed by p53 to regulate gene expression: up-regulation through direct p53 target gene binding and indirect down-regulation through the p53-p21-DREAM pathway. More than 1000 genes have been identified to differ in their p53-dependent expression between mice and humans. Analysis of p53 gene expression profiles and p53 binding data reveal that turnover of p53 binding sites is the major mechanism underlying extensive variation in p53-dependent gene up-regulation. Only a core set of high-confidence genes appears to be directly regulated by p53 in both species. In contrast to up-regulation, p53-induced down-regulation is well conserved between mice and humans and controls cell cycle genes. Here a curated data set is provided that extends the previously established web-atlas at www.targetgenereg.org to assess the p53 response of any human gene of interest and its mouse ortholog. Taken together, the analysis reveals a limited translation potential from mouse models to humans for the p53 GRN.

Indexed as

AnimalsBinding SitesCell CycleCell Line, TumorCyclin-Dependent Kinase Inhibitor p21Down-RegulationGene Expression RegulationGene Regulatory NetworksHumansMiceProtein BindingSignal TransductionTumor Suppressor Protein p53Up-RegulationCyclin-Dependent Kinase Inhibitor p21Tumor Suppressor Protein p53

Identifiers

PMID30710145
PMCPMC6755996
OpenAlexW2914651604

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.