Evidence map›Paper›PMID 23469179›Full record

ArticlePloS one2013

Robustness and backbone motif of a cancer network regulated by miR-17-92 cluster during the G1/S transition.

Lijian Yang, Yan Meng, Chun Bao, Wangheng Liu, Chengzhang Ma, Anbang Li, Zhan Xuan, Ge Shan, Ya Jia

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Regulatory RNAs in immunosenescence.Immunity, inflammation and disease · 2024
    Review
  2. Review
  3. Article
  4. Primate-specific Long Non-coding RNAs and MicroRNAs.Genomics, proteomics & bioinformatics · 2017
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

9 authors.

Lijian YangInstitute of Biophysics and Department of Physics, Central China Normal University, Wuhan, China.
Yan Meng
Chun Bao
Wangheng Liu
Chengzhang Ma
Anbang Li
Zhan Xuan
Ge Shan
Ya Jia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on interactions among transcription factors, oncogenes, tumor suppressors and microRNAs, a Boolean model of cancer network regulated by miR-17-92 cluster is constructed, and the network is associated with the control of G1/S transition in the mammalian cell cycle. The robustness properties of this regulatory network are investigated by virtue of the Boolean network theory. It is found that, during G1/S transition in the cell cycle process, the regulatory networks are robustly constructed, and the robustness property is largely preserved with respect to small perturbations to the network. By using the unique process-based approach, the structure of this network is analyzed. It is shown that the network can be decomposed into a backbone motif which provides the main biological functions, and a remaining motif which makes the regulatory system more stable. The critical role of miR-17-92 in suppressing the G1/S cell cycle checkpoint and increasing the uncontrolled proliferation of the cancer cells by targeting a genetic network of interacting proteins is displayed with our model.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksModels, GeneticAnimalsCell Cycle ProteinsG1 Phase Cell Cycle CheckpointsHumansMicroRNAsNeoplasm ProteinsNeoplasmsOncogenesRNA, Long NoncodingTranscription FactorsCell Cycle ProteinsMicroRNAsMIR17HG, humanNeoplasm ProteinsRNA, Long NoncodingTranscription Factors

Identifiers

PMID23469179
PMCPMC3585929

What OpenQuestion holds

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Registered trials

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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.