Evidence map›Paper›PMID 30585287›Full record

ArticleScience advances2018

Cell type-dependent bimodal p53 activation engenders a dynamic mechanism of chemoresistance.

Ruizhen Yang, Bo Huang, Yanting Zhu, Yang Li, Feng Liu, Jue Shi

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Dynamic increases in p53 expression suppress human myoblast differentiation.Frontiers in cell and developmental biology · 2026
    Article
  3. Article
  4. Article
  5. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
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  13. Review
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  15. Article
  16. p53 EnhancesInternational journal of molecular sciences · 2020
    Article
  17. Article
  18. 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

6 authors at 2 institutions in 2 countries.

Ruizhen YangCenter for Quantitative Systems Biology, Department of Physics and Department of Biology, Hong Kong Baptist University, Hong Kong, China.ORCID 0000-0002-2845-0762
Bo HuangCenter for Quantitative Systems Biology, Department of Physics and Department of Biology, Hong Kong Baptist University, Hong Kong, China.ORCID 0000-0002-9066-5916
Yanting ZhuCenter for Quantitative Systems Biology, Department of Physics and Department of Biology, Hong Kong Baptist University, Hong Kong, China.
Yang LiCenter for Quantitative Systems Biology, Department of Physics and Department of Biology, Hong Kong Baptist University, Hong Kong, China.
Feng LiuNational Laboratory of Solid State Microstructures, Department of Physics and Collaborative Innovation Center of Advanced Microstructure, Nanjing University, Nanjing, China.ORCID 0000-0001-9560-8518
Jue ShiCenter for Quantitative Systems Biology, Department of Physics and Department of Biology, Hong Kong Baptist University, Hong Kong, China.ORCID 0000-0003-4061-3496
Hong Kong Baptist University · HKCollaborative Innovation Center of Advanced Microstructures · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of drug resistance mostly characterize genetic mutation, and we know much less about phenotypic mechanisms of drug resistance, especially at a quantitative level. p53 is an important mediator of cellular response to chemotherapy, but even p53 wild-type cells vary in drug sensitivity for unclear reasons. Here, we elucidated a new resistance mechanism to a DNA-damaging chemotherapeutic through bimodal modulation of p53 activation dynamics. By combining single-cell imaging with computational modeling, we characterized a four-component regulatory module, which generates bimodal p53 dynamics through coupled feed-forward and feedback, and found that the inhibitory strength between ATM and Mdm2 determined the differential modular output between drug-sensitive and drug-resistant cancer cell lines. We further showed that the combinatorial inhibition of Mdm2 and Wip1 was an effective strategy to alter p53 dynamics in resistant cancer cells and sensitize their apoptotic response. Our results point to p53 pulsing as a potentially druggable mechanism that mediates chemoresistance.

Indexed as

Gene Expression Regulation, NeoplasticAlgorithmsApoptosisAtaxia Telangiectasia Mutated ProteinsCell Line, TumorDNA DamageDrug Resistance, NeoplasmEtoposideHumansModels, BiologicalOrgan SpecificityPhosphorylationProteolysisProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53Ataxia Telangiectasia Mutated ProteinsEtoposideMDM2 protein, humanProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53

Identifiers

PMID30585287
PMCPMC6300403
OpenAlexW2904815508

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.