DIANA-TarBase statistics

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DIANA-TarBase specifications


Unique identifier OMICS_00397
Name DIANA-TarBase
Alternative name TarBase
Restrictions to use None
Community driven No
User data submission Not allowed
Version 7.0
Maintained Yes


  • person_outline Artemis G. Hatzigeorgiou
  • person_outline Theodore Dalamagas

Publications for DIANA-TarBase

DIANA-TarBase citations


Bioinformatics based identification of potential microRNA biomarkers in frequent and non frequent exacerbators of COPD

PMCID: 5909781
PMID: 29713155
DOI: 10.2147/COPD.S163459

[…] e testing corrections on P-values.The accuracy for the predicted targets of candidate miRNAs was improved by the following software: PicTar, miRDB and TargetScan. Validated targets were acquired from TarBase. Briefly, we took the intersection of the three series of predicted targets and validated the targets using TarBase. […]


Differential expression of microRNAs and other small RNAs in muscle tissue of patients with ALS and healthy age matched controls

Sci Rep
PMCID: 5884852
PMID: 29618798
DOI: 10.1038/s41598-018-23139-2

[…] ally expressed miRNAs, including their 3′ and 5′ species, identified by both the Baggerly’s test and DESeq in order to identify relevant pathways and gene ontologies. All DIANA-miRPath analyses using Tarbase v7.0 were performed with FDR correction and conservative statistics options. […]


Extracellular vesicle encapsulated miR 30e suppresses cholangiocarcinoma cell invasion and migration via inhibiting epithelial mesenchymal transition

PMCID: 5893249
PMID: 29662654
DOI: 10.18632/oncotarget.24711

[…] e clinical therapies for CCA patients. In this study, we showed that TGF-β induced EMT, that miR-30e was downregulated by TGF-β, and that miR-30e was predicted by bioinformatics analyses (TargetScan, TarBase, miRNA.org and MiRBase) to directly target the Snail 3′UTR, which we confirmed in CCA cells using Luciferase reporter assay. Together, these data suggested that miR-30e contributes to altered […]


Analysis of microRNA and Gene Expression Profiles in Alzheimer’s Disease: A Meta Analysis Approach

Sci Rep
PMCID: 5859169
PMID: 29555910
DOI: 10.1038/s41598-018-20959-0

[…] and detected the potential active miRNA node. Then we continued the study. In order to determine the validated miRNA target genes as compared to predicted ones that were studied in this analysis, miRTarBase, TarBase v.8 and miRWalk 2.0, databases have been utilized. […]


Identification of Gastric Cancer Related Circular RNA through Microarray Analysis and Bioinformatics Analysis

Biomed Res Int
PMCID: 5878900
PMID: 29744354
DOI: 10.1155/2018/2381680

[…] esponding healthy gastric mucosa. There were no replicates. Differentially expressed miRNAs were identified by using GEO2R. The target genes of differentially expressed miRNAs were predicted by using TarBase v7.0 [] with a prediction score ≥0.8 and all the miRNA-mRNA interactions were experimentally supported. […]


Exosomes from patients with septic shock convey miRNAs related to inflammation and cell cycle regulation: new signaling pathways in sepsis?

PMCID: 5852953
PMID: 29540208
DOI: 10.1186/s13054-018-2003-3

[…] is (IPA) software (www.ingenuity.com; Qiagen Bioinformatics, Redwood City, CA, USA) and the MicroRNA Target Filter software tool (Qiagen Bioinformatics), which relies on three algorithms (TargetScan, TarBase, and miRecords), were used to identify putative targets of the miRNAs differentially expressed in septic exosomes versus healthy controls and in the comparison of patients with sepsis accordin […]


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DIANA-TarBase institution(s)
DIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, Volos, Greece; DIANA-Lab, Hellenic Pasteur Institute, Athens, Greece; Athena’ Research and Innovation Center, Athens, Greece; University of Peloponnese, Department of Informatics and Telecommunications, Tripoli, Greece; Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA; School of Electrical and Computer Engineering, National Technical University of Athens, Greece; Department of Informatics and Telecommunications, Postgraduate Program: ‘Information Technologies in Medicine and Biology’, University of Athens, Athens, Greece
DIANA-TarBase funding source(s)
Supported by the Fondation Sante Grant; General Secretariat of Research and Technology, Greece Grant (‘KRIPIS’); Hellenic Foundation for Research and Innovation (ELIDEK) PhD Fellowship; IKY Foundation PhD Fellowship in the framework of the Hellenic Republic-Siemens Settlement Agreement.

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