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

Giorgos Skoufos(University of Thessaly), Panos Kakoulidis(National and Kapodistrian University of Athens), Spyros Tastsoglou(University of Thessaly), Elissavet Zacharopoulou(University of Thessaly), Vasiliki Kotsira(University of Thessaly), Marios Miliotis(University of Thessaly), Galatea Mavromati(University of Thessaly), Dimitris Grigoriadis(University of Thessaly), M. Zioga(University of Thessaly), Angeliki Velli(University of Thessaly), Ioanna Koutou(University of Thessaly), Dimitra Karagkouni(University of Thessaly), Steve Stavropoulos(University of Thessaly), Filippos S. Kardaras(University of Thessaly), Anna Lifousi(Technical University of Denmark), Eustathia Vavalou(National and Kapodistrian University of Athens), Armen Ovsepian(University of Thessaly), Anargyros Skoulakis(University of Thessaly), Sotiris K. Tasoulis(University of Thessaly), Spiros V. Georgakopoulos(University of Thessaly), Vassilis P. Plagianakos(University of Thessaly), Artemis G. Hatzigeorgiou(University of Thessaly)
Nucleic Acids Research
November 20, 2023
Cited by 158Open Access
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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.


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