Evidence map›Paper›PMID 37986224›Full record

ArticleNucleic acids research2024

TarBase-v9.0 extends experimentally supported miRNA-gene interactions to cell-types and virally encoded miRNAs.

Giorgos Skoufos, Panos Kakoulidis, Spyros Tastsoglou, Elissavet Zacharopoulou, Vasiliki Kotsira, Marios Miliotis, Galatea Mavromati, Dimitris Grigoriadis, Maria Zioga, Angeliki Velli and 12 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 1 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

118 citing papers in PubMed, 1 synthesis or guideline pooled it.

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58 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

22 authors.

Giorgos SkoufosDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Panos KakoulidisDept. of Informatics and Telecommunications, National and Kapodistrian Univ. of Athens, Athens, Greece.
Spyros TastsoglouDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Elissavet ZacharopoulouDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Vasiliki KotsiraDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Marios MiliotisDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Galatea MavromatiDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Dimitris GrigoriadisDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Maria ZiogaDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Angeliki VelliDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Ioanna KoutouDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Dimitra KaragkouniDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Steve StavropoulosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Filippos S KardarasDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Anna LifousiTechnical University of Denmark - Department of Health Technology, Copenhagen, Denmark.
Eustathia VavalouDepartment of Biology, National and Kapodistrian University of Athens, 15784Athens, Greece.
Armen OvsepianDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.ORCID 0000-0001-5472-3747
Anargyros SkoulakisDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Sotiris K TasoulisDepartment of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Spiros V GeorgakopoulosDepartment of Mathematics, University of Thessaly, Greece.
Vassilis P PlagianakosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Artemis G HatzigeorgiouDIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.ORCID 0000-0003-1414-5668

Funding

Competitiveness, Entrepreneurship and Innovation NSRF 2014-2020Greece and the European UnionHellenic Foundation for Research and Innovation 2563Par-ICT CENG: Enhancing ICT research infrastructure in Central Greece to enable processing of Big data from sensor stream, multimedia content and complex mathematical modeling and simulations MIS 5047244RESEARCH - CREATE - INNOVATE T2EΔK-00391University of Thessaly
6 · The paper itself

Abstract

TarBase is a reference database dedicated to produce, curate and deliver high quality experimentally-supported microRNA (miRNA) targets on protein-coding transcripts. In its latest version (v9.0, https://dianalab.e-ce.uth.gr/tarbasev9), it pushes the envelope by introducing virally-encoded miRNAs, interactions leading to target-directed miRNA degradation (TDMD) events and the largest collection of miRNA-gene interactions to date in a plethora of experimental settings, tissues and cell-types. It catalogues ∼6 million entries, comprising ∼2 million unique miRNA-gene pairs, supported by 37 experimental (high- and low-yield) protocols in 172 tissues and cell-types. Interactions are annotated with rich metadata including information on genes/transcripts, miRNAs, samples, experimental contexts and publications, while millions of miRNA-binding locations are also provided at cell-type resolution. A completely re-designed interface with state-of-the-art web technologies, incorporates more features, and allows flexible and ingenious use. The new interface provides the capability to design sophisticated queries with numerous filtering criteria including cell lines, experimental conditions, cell types, experimental methods, species and/or tissues of interest. Additionally, a plethora of fine-tuning capacities have been integrated to the platform, offering the refinement of the returned interactions based on miRNA confidence and expression levels, while boundless local retrieval of the offered interactions and metadata is enabled.

Indexed as

Databases, Nucleic AcidMicroRNAsAnimalsGenes, ViralInternetMicroRNAs

Identifiers

PMID37986224
PMCPMC10767993

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.