Evidence map›Paper›PMID 25977294›Full record

ArticleNucleic acids research2015

DIANA-miRPath v3.0: deciphering microRNA function with experimental support.

Ioannis S Vlachos, Konstantinos Zagganas, Maria D Paraskevopoulou, Georgios Georgakilas, Dimitra Karagkouni, Thanasis Vergoulis, Theodore Dalamagas, Artemis G Hatzigeorgiou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,087 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,087citing papers in PubMed, 6 pooled it
–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

1,087 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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1,027 more citing papers are in PubMed but not listed here.

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

8 authors.

Ioannis S VlachosDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece Laboratory for Experimental Surgery and Surgical Research 'N.S. Christeas', Medical School of Athens, University of Athens, 11527 Athens, Greece ivlachos@lessr.eu.
Konstantinos Zagganas'Athena' Research and Innovation Center, 11524 Athens, Greece University of Peloponnisos, Department of Informatics and Telecommunications, 22100 Tripoli, Greece.
Maria D ParaskevopoulouDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece.
Georgios GeorgakilasDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece.
Dimitra KaragkouniDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece.
Thanasis Vergoulis'Athena' Research and Innovation Center, 11524 Athens, Greece.
Theodore Dalamagas'Athena' Research and Innovation Center, 11524 Athens, Greece ivlachos@lessr.eu.
Artemis G HatzigeorgiouDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece 'Athena' Research and Innovation Center, 11524 Athens, Greece ivlachos@lessr.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional characterization of miRNAs is still an open challenge. Here, we present DIANA-miRPath v3.0 (http://www.microrna.gr/miRPathv3) an online software suite dedicated to the assessment of miRNA regulatory roles and the identification of controlled pathways. The new miRPath web server renders possible the functional annotation of one or more miRNAs using standard (hypergeometric distributions), unbiased empirical distributions and/or meta-analysis statistics. DIANA-miRPath v3.0 database and functionality have been significantly extended to support all analyses for KEGG molecular pathways, as well as multiple slices of Gene Ontology (GO) in seven species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Caenorhabditis elegans, Gallus gallus and Danio rerio). Importantly, more than 600 000 experimentally supported miRNA targets from DIANA-TarBase v7.0 have been incorporated into the new schema. Users of DIANA-miRPath v3.0 can harness this wealth of information and substitute or combine the available in silico predicted targets from DIANA-microT-CDS and/or TargetScan v6.2 with high quality experimentally supported interactions. A unique feature of DIANA-miRPath v3.0 is its redesigned Reverse Search module, which enables users to identify and visualize miRNAs significantly controlling selected pathways or belonging to specific GO categories based on in silico or experimental data. DIANA-miRPath v3.0 is freely available to all users without any login requirement.

Indexed as

SoftwareAlgorithmsAnimalsComputer SimulationHumansInternetMiceMicroRNAsMolecular Sequence AnnotationRatsMicroRNAs

Identifiers

PMID25977294
PMCPMC4489228

What OpenQuestion holds

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LicenceCC BY-NC
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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.