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, Ioanna Koutou, Dimitra Karagkouni, Steve Stavropoulos, Filippos S. Kardaras, Anna Lifousi, Eustathia Vavalou, Armen Ovsepian, Anargyros Skoulakis, Sotiris K. Tasoulis, Spiros GeorgakopoulosVassilis P. Plagianakos, Artemis G. Hatzigeorgiou*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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 similar to 6 million entries, comprising similar to 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. Graphical Abstract
Original languageEnglish
JournalNucleic Acids Research
Volume52
Issue numberD1
Pages (from-to)D304-D310
ISSN0305-1048
DOIs
Publication statusPublished - 2023

Keywords

  • Databases, Nucleic Acid
  • MicroRNAs

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