Evidence map›Paper›PMID 20628618›Full record

ArticlePLoS computational biology2010

Large-scale analysis of network bistability for human cancers.

Tetsuya Shiraishi, Shinako Matsuyama, Hiroaki Kitano

Abstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  4. Ultrasensitivity and bistability in covalent-modification cycles with positive autoregulation.Proceedings. Mathematical, physical, and engineering sciences · 2021
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  15. Of plasticity and specificity: dialectics of the micro- and macro-environment and the organ phenotype.Wiley interdisciplinary reviews. Membrane transport and signaling · 2014
    Article
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  17. Review
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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.

Tetsuya ShiraishiSony Computer Science Laboratories, Shinagawa-ku, Tokyo, Japan. Tetsuya.Shiraishi@jp.sony.com
Shinako Matsuyama
Hiroaki Kitano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interaction and gene regulatory networks are likely to be locked in a state corresponding to a disease by the behavior of one or more bistable circuits exhibiting switch-like behavior. Sets of genes could be over-expressed or repressed when anomalies due to disease appear, and the circuits responsible for this over- or under-expression might persist for as long as the disease state continues. This paper shows how a large-scale analysis of network bistability for various human cancers can identify genes that can potentially serve as drug targets or diagnosis biomarkers.

Indexed as

Biomarkers, TumorComputational BiologyDrug DiscoveryGene Expression ProfilingGene Regulatory NetworksHumansModels, BiologicalNeoplasmsOligonucleotide Array Sequence AnalysisProtein Interaction MappingSignal TransductionBiomarkers, Tumor

Identifiers

PMID20628618
PMCPMC2900289

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.