Evidence map›Paper›PMID 29055670›Full record

ArticleCell systems2017

Conservation and Divergence of p53 Oscillation Dynamics across Species.

Jacob Stewart-Ornstein, Ho Wa Jacky Cheng, Galit Lahav

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Dynamic increases in p53 expression suppress human myoblast differentiation.Frontiers in cell and developmental biology · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  10. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Network inference from perturbation time course data.NPJ systems biology and applications · 2022
    Article
  17. Review
  18. Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022
    Review
  19. Article
  20. Review
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

3 authors at 2 institutions in 1 country.

Jacob Stewart-OrnsteinDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: jacob_stewart-ornstein@hms.harvard.edu.
Ho Wa Jacky ChengDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Galit LahavDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: galit@hms.harvard.edu.
Center for Systems Biology · USHarvard University · US

Funding

Dynamics of Signaling Pathways: Mechanism and FunctionR01GM083303 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2008 to 2020
$5.2M
Dynamics of Cellular Senescence in Single CellsR01GM116864 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2017 to 2020
$1.6M
Defining and manipulating quiescence associated DNA damage resistance in single cellsR00CA207727 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEWART-ORNSTEIN, JACOB · 2019 to 2021
$735k
Defining and manipulating quiescence associated DNA damage resistance in single cellsK99CA207727 · NCI · HARVARD MEDICAL SCHOOL · PI STEWART-ORNSTEIN, JACOB · 2016 to 2017
$332k
NCI NIH HHS K99 CA207727NCI NIH HHS R00 CA207727NIGMS NIH HHS R01 GM083303NIGMS NIH HHS R01 GM116864
6 · The paper itself

Abstract

The tumor-suppressing transcription factor p53 is highly conserved at the protein level and plays a key role in the DNA damage response. One important aspect of p53 regulation is its dynamics in response to DNA damage, which include oscillations. Here, we observe that, while the qualitative oscillatory nature of p53 dynamics is conserved across cell lines derived from human, monkey, dog, mouse, and rat, the oscillation period is variable. Specifically, rodent cells exhibit rapid p53 oscillations, whereas dog, monkey, and human cells show slower oscillations. Computational modeling and experiments identify stronger negative feedback between p53 and MDM2 as the driver of faster oscillations in rodents, suggesting that the period of oscillation is a network-level property. In total, our study shows that despite highly conserved signaling, the quantitative features of p53 oscillations can diverge across evolution. We caution that strong amino acid conservation of proteins and transcriptional network similarity do not necessarily imply conservation of time dynamics.

Indexed as

A549 CellsAnimalsCell LineCell Line, TumorDNA DamageDogsFeedback, PhysiologicalGene Expression RegulationGene Regulatory NetworksHaplorhiniHumansMadin Darby Canine Kidney CellsMCF-7 CellsMiceNIH 3T3 CellsProto-Oncogene Proteins c-mdm2Proto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53evolutionmodelingnegative feedbackp53signaling

Identifiers

PMID29055670
PMCPMC5687840
OpenAlexW2766608991

What OpenQuestion holds

Textmetadata
LicenceTDM
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.