Evidence map›Paper›PMID 30190538›Full record

ArticleNature communications2018

microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions.

Maria D Paraskevopoulou, Dimitra Karagkouni, Ioannis S Vlachos, Spyros Tastsoglou, Artemis G Hatzigeorgiou

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  3. World journal of gastroenterology · 2025
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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

5 authors.

Maria D ParaskevopoulouDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece. mparaskevopoulou@inf.uth.gr.
Dimitra KaragkouniDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece.
Ioannis S VlachosDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece.ORCID http://orcid.org/0000-0002-8849-808X
Spyros TastsoglouDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece.ORCID http://orcid.org/0000-0002-0316-6239
Artemis G HatzigeorgiouDIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece. arhatzig@inf.uth.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Argonaute crosslinking and immunoprecipitation (CLIP) experiments are the most widely used high-throughput methodologies for miRNA targetome characterization. The analysis of Photoactivatable Ribonucleoside-Enhanced (PAR) CLIP methodology focuses on sequence clusters containing T-to-C conversions. Here, we demonstrate for the first time that the non-T-to-C clusters, frequently observed in PAR-CLIP experiments, exhibit functional miRNA-binding events and strong RNA accessibility. This discovery is based on the analysis of an extensive compendium of bona fide miRNA-binding events, and is further supported by numerous miRNA perturbation experiments and structural sequencing data. The incorporation of these previously neglected clusters yields an average of 14% increase in miRNA-target interactions per PAR-CLIP library. Our findings are integrated in microCLIP ( www.microrna.gr/microCLIP ), a cutting-edge framework that combines deep learning classifiers under a super learning scheme. The increased performance of microCLIP in CLIP-Seq-guided detection of miRNA interactions, uncovers previously elusive regulatory events and miRNA-controlled pathways.

Indexed as

Argonaute ProteinsBinding SitesBreast NeoplasmsCarcinoma, Ductal, BreastComputer SimulationCross-Linking ReagentsFemaleGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansImmunoprecipitationMCF-7 CellsMicroRNAsReproducibility of ResultsSequence Analysis, RNAArgonaute ProteinsCross-Linking ReagentsMicroRNAs

Identifiers

PMID30190538
PMCPMC6127135

What OpenQuestion holds

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LicenceCC BY
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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.