Evidence map›Paper›PMID 37094027›Full record

ArticleNucleic acids research2023

DIANA-microT 2023: including predicted targets of virally encoded miRNAs.

Spyros Tastsoglou, Athanasios Alexiou, Dimitra Karagkouni, Giorgos Skoufos, Elissavet Zacharopoulou, Artemis G Hatzigeorgiou

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
23.9field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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22 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

6 authors at 2 institutions in 2 countries.

Spyros TastsoglouDIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece.
Athanasios AlexiouDIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece.
Dimitra KaragkouniDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Giorgos SkoufosDIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece.
Elissavet ZacharopoulouDIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece.
Artemis G HatzigeorgiouDIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece.ORCID 0000-0003-1414-5668
University of Thessaly · GRBroad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DIANA-microT-CDS is a state-of-the-art miRNA target prediction algorithm catering the scientific community since 2009. It is one of the first algorithms to predict miRNA binding sites in both the 3' Untranslated Region (3'-UTR) and the coding sequence (CDS) of transcripts, with increased performance. Its current version, DIANA-microT 2023 (www.microrna.gr/microt_webserver/), brings forward a significantly updated set of interactions. DIANA-microT-CDS has been executed utilizing annotation information from Ensembl v102, miRBase 22.1 and, for the first time, MirGeneDB 2.1, yielding more than 83 million interactions in human, mouse, rat, chicken, fly and worm species. Additionally, this version delivers predicted interactions of miRNAs encoded from 20 viruses against host transcripts from human, mouse and chicken species. Numerous resources have been interconnected into DIANA-microT, including DIANA-TarBase, plasmiR, HMDD, UCSC, dbSNP, ClinVar, as well as miRNA/gene abundance values for 369 distinct cell-lines/tissues. The server interface has been redesigned allowing users to use smart filtering options, identify abundance patterns of interest, pinpoint known SNPs residing on binding sites and obtain miRNA-disease information. The contents of DIANA-microT webserver are freely accessible and can also be locally downloaded without any login requirements.

Indexed as

MicroRNAs3' Untranslated RegionsAlgorithmsAnimalsBinding SitesHumansMicePolymorphism, Single NucleotideRatsSoftware3' Untranslated RegionsMicroRNAs

Identifiers

PMID37094027
PMCPMC10320106
OpenAlexW4366817159

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.