Evidence map›Paper›PMID 20161787›Full record

ArticlePloS one2010

The DIANA-mirExTra web server: from gene expression data to microRNA function.

Panagiotis Alexiou, Manolis Maragkakis, Giorgio L Papadopoulos, Victor A Simmosis, Lin Zhang, Artemis G Hatzigeorgiou

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. MMiRNA-ViewerBMC bioinformatics · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Bioinformatic tools for microRNA dissection.Nucleic acids research · 2016
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. [Advances in microRNA and graft-versus-host disease].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2015
    Article
  20. 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.

Panagiotis AlexiouBiomedical Sciences Research Center "Alexander Fleming", Institute of Molecular Oncology, Varkiza, Greece.
Manolis Maragkakis
Giorgio L Papadopoulos
Victor A Simmosis
Lin Zhang
Artemis G Hatzigeorgiou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-throughput gene expression experiments are widely used to identify the role of genes involved in biological conditions of interest. MicroRNAs (miRNA) are regulatory molecules that have been functionally associated with several developmental programs and their deregulation with diverse diseases including cancer. METHODOLOGY/PRINCIPAL

findingsAlthough miRNA expression levels may not be routinely measured in high-throughput experiments, a possible involvement of miRNAs in the deregulation of gene expression can be computationally predicted and quantified through analysis of overrepresented motifs in the deregulated genes 3' untranslated region (3'UTR) sequences. Here, we introduce a user-friendly web-server, DIANA-mirExTra (www.microrna.gr/mirextra) that allows the comparison of frequencies of miRNA associated motifs between sets of genes that can lead to the identification of miRNAs responsible for the deregulation of large numbers of genes. To this end, we have investigated different approaches and measures, and have practically implemented them on experimental data. CONCLUSIONS/SIGNIFICANCE: On several datasets of miRNA overexpression and repression experiments, our proposed approaches have successfully identified the deregulated miRNA. Beyond the prediction of miRNAs responsible for the deregulation of transcripts, the web-server provides extensive links to DIANA-mirPath, a functional analysis tool incorporating miRNA targets in biological pathways. Additionally, in case information about miRNA expression changes is provided, the results can be filtered to display the analysis for miRNAs of interest only.

Indexed as

Software3' Untranslated RegionsAlgorithmsAnimalsBase SequenceComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansInternetMicroRNAsOligonucleotide Array Sequence AnalysisOvarian Neoplasms3' Untranslated RegionsMicroRNAs

Identifiers

PMID20161787
PMCPMC2820085

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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.