Evidence map›Paper›PMID 32070036›Full record

ArticleInternational journal of molecular sciences2020

Dynamic Behavior of p53 Driven by Delay and a Microrna-34a-Mediated Feedback Loop.

Chunyan Gao, Haihong Liu, Fang Yan

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Chunyan GaoDepartment of Mathematics, Yunnan Normal University, Kunming 650092, China.
Haihong LiuDepartment of Mathematics, Yunnan Normal University, Kunming 650092, China.
Fang YanDepartment of Mathematics, Yunnan Normal University, Kunming 650092, China.
Yunnan Normal University · CN

Funding

National Natural Science Foundations of China 11562021National Natural Science Foundations of China 11572278National Natural Science Foundations of China 11762022Young Academic and Technical Leaders Program of Yunnan Province 2019HB015
6 · The paper itself

Abstract

The tumor suppressor protein p53 is a critical hub in the comprehensive transcriptional network that inhibits the growth of cells after acute stress stimulation. In this paper, an integrated model of the p53 signaling pathway in response to DNA damage is proposed and the p53 stability and oscillatory dynamics are analyzed. Through theoretical analysis and numerical simulation, we find that the delay as a bifurcation parameter can drive the p53-Mdm2 module to undergo a supercritical Hopf bifurcation, thereby producing oscillation behavior. Moreover, we demonstrate how the positive feedback loop formed by p53* and microRNA-34a (miR-34a) with the feature of double-negative regulation produces limit-cycle oscillations. Further, we find that miR-34a can affect the critical value of Hopf bifurcation in delay-induced p53 networks. In addition, we show that ATM, once activated by DNA damage, makes p53* undergo two Hopf bifurcations. These results revealed that both time delay and miR-34a can have tumor suppressing roles by promoting p53 oscillation or high level expression, which will provide a perspective for promoting the development of anti-cancer drugs by targeting miR-34a and time delay.

Indexed as

Cell ProliferationDNA DamageFeedback, PhysiologicalGene Regulatory NetworksHumansMicroRNAsNeoplasmsProtein StabilityProto-Oncogene Proteins c-mdm2Signal TransductionTumor Suppressor Protein p53MDM2 protein, humanMicroRNAsMIRN34 microRNA, humanProto-Oncogene Proteins c-mdm2TP53 protein, humanTumor Suppressor Protein p53feedback loopsmiR-34ap53-Mdm2 pathwaytime delay

Identifiers

PMID32070036
PMCPMC7072921
OpenAlexW3005913656

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.