Evidence map›Paper›PMID 23516263›Full record

ArticleNeuro-oncology2013

Identifying dysfunctional miRNA-mRNA regulatory modules by inverse activation, cofunction, and high interconnection of target genes: a case study of glioblastoma.

Yun Xiao, Yanyan Ping, Huihui Fan, Chaohan Xu, Jinxia Guan, Hongying Zhao, Yiqun Li, Yanling Lv, Yan Jin, Lihua Wang and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Neuro-oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yanyan Ping
Huihui Fan
Chaohan Xu
Jinxia Guan
Hongying Zhao
Yiqun Li
Yanling Lv
Yan Jin
Lihua Wang
Xia Li
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence demonstrates that complex diseases may arise from cooperative effects of multiple dysfunctional miRNAs. Thus, identifying abnormal functions cooperatively regulated by multiple miRNAs is useful for understanding the pathogenesis of complex diseases.

methodsIn this study, we proposed a multistep method to identify dysfunctional miRNA-mRNA regulatory modules (dMiMRMs) in a specific disease, in which a group of miRNAs cooperatively regulate a group of target genes involved in a specific function. We identified dysfunctional miRNAs, which were differentially expressed and inversely regulated most of their target genes, by integrating paired miRNA and mRNA expression profiles and miRNA target information. Then, we identified cooperative functional units, in each of which a pair of miRNAs cooperatively repressed function-enriched and highly interconnected target genes. Finally, the cooperative functional units were assembled into dMiMRMs.

resultsWe applied our method to glioblastoma (GBM) and identified GBM-associated dMiMRMs at the population, subtype, and individual levels. We identified 5 common dMiMRMs using all GBM samples, 3 of which were associated with the prognosis in patients with GBM and were better predictors of prognosis than were miRNAs or mRNAs alone. By applying our approach to GBM subtypes, we found consistent dMiMRMs across GBM subtypes, and some subtype-specific dMiMRMs were observed. Furthermore, personalized dMiMRMs were identified, suggesting significant individual differences in different patients with GBM.

conclusionsOur method provides the capability to identify miRNA-mediated dysfunctional mechanisms underlying complex diseases.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksBiomarkers, TumorBrain NeoplasmsCase-Control StudiesComputational BiologyDatabases, GeneticGene Expression Regulation, NeoplasticGlioblastomaHumansMicroRNAsRNA, MessengerSignal TransductionSurvival RateBiomarkers, TumorMicroRNAsRNA, MessengercooperationglioblastomamiRNA and mRNA expression profilesmiRNA-mRNA regulatory module

Identifiers

PMID23516263
PMCPMC3688007
OpenAlexW2141306411

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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.