Evidence map›Paper›PMID 22114721›Full record

ArticlePloS one2011

Modeling the basal dynamics of p53 system.

Tingzhe Sun, Weiwei Yang, Jing Liu, Pingping Shen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Mathematical Modeling of p53 Pathways.International journal of molecular sciences · 2019
    Review
  5. Article
  6. PyCoTools: a Python toolbox for COPASI.Bioinformatics (Oxford, England) · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Dynamics of posttranslational modifications of p53.Computational and mathematical methods in medicine · 2014
    Article
  15. 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

4 authors at 1 institution in 1 country.

Tingzhe SunState Key Laboratory of Pharmaceutical Biotechnology, Department of Life Sciences, Nanjing University, Nanjing, Jiangsu Province, People's Republic of China.
Weiwei Yang
Jing Liu
Pingping Shen
Nanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor suppressor p53 has become one of most investigated genes. Once activated by stress, p53 leads to cellular responses such as cell cycle arrest and apoptosis. METHODOLOGY/PRINCIPAL

findingsMost previous models have ignored the basal dynamics of p53 under nonstressed conditions. To explore the basal dynamics of p53, we constructed a stochastic delay model by incorporating two negative feedback loops. We found that protein distribution of p53 under nonstressed condition is highly skewed with a fraction of cells showing high p53 levels comparable to those observed under stressed conditions. Under nonstressed conditions, asynchronous and spontaneous p53 pulses are triggered by basal DNA double strand breaks produced during normal cell cycle progression. The first peaking times show a predominant G1 distribution while the second ones are more widely distributed. The spontaneous pulses are triggered by an excitable mechanism. Once initiated, the amplitude and duration of pulses remain unchanged. Furthermore, the spontaneous pulses are filtered by ataxia telangiectasia mutated protein mediated posttranslational modifications and do not result in substantial p21 transcription. If challenged by externally severe DNA damage, cells generate synchronous p53 pulses and induce significantly high levels of p21. The high expression of p21 can also be partially induced by lowering the deacetylation rate.

conclusionsOur results demonstrated that the dynamics of p53 under nonstressed conditions is initiated by an excitable mechanism and cells become fully responsive only when cells are confronted with severe damage. These findings advance our understanding of the mechanism of p53 pulses and unlock many opportunities to p53-based therapy.

Indexed as

Cell CycleDNA DamageModels, BiologicalModels, TheoreticalAtaxia Telangiectasia Mutated ProteinsCell Cycle ProteinsComputer SimulationCyclin-Dependent Kinase Inhibitor p21DNA-Binding ProteinsHumansPhosphoprotein PhosphatasesPhosphorylationProtein Phosphatase 2CProtein Processing, Post-TranslationalProtein Serine-Threonine KinasesSignal TransductionAtaxia Telangiectasia Mutated ProteinsATM protein, humanCDKN1A protein, humanCell Cycle ProteinsCyclin-Dependent Kinase Inhibitor p21DNA-Binding ProteinsPhosphoprotein PhosphatasesProtein Phosphatase 2CProtein Serine-Threonine KinasesTP53 protein, humanTumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID22114721
PMCPMC3218058
OpenAlexW1969201199

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.