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

Author:

Skoufos Giorgos12,Kakoulidis Panos34,Tastsoglou Spyros12,Zacharopoulou Elissavet12,Kotsira Vasiliki12,Miliotis Marios12,Mavromati Galatea1,Grigoriadis Dimitris1,Zioga Maria1,Velli Angeliki1,Koutou Ioanna1,Karagkouni Dimitra12,Stavropoulos Steve5,Kardaras Filippos S12,Lifousi Anna6,Vavalou Eustathia7,Ovsepian Armen12ORCID,Skoulakis Anargyros12,Tasoulis Sotiris K5,Georgakopoulos Spiros V8,Plagianakos Vassilis P5,Hatzigeorgiou Artemis G12ORCID

Affiliation:

1. DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly ,  Lamia , Greece

2. Hellenic Pasteur Institute , Athens 11521 , Greece

3. Dept. of Informatics and Telecommunications, National and Kapodistrian Univ. of Athens , Athens , Greece

4. Biomedical Research Foundation of the Academy of Athens , 11527 Athens , Greece

5. Department of Computer Science and Biomedical Informatics, University of Thessaly , Lamia , Greece

6. Technical University of Denmark – Department of Health Technology , Copenhagen , Denmark

7. Department of Biology, National and Kapodistrian University of Athens , 15784 Athens , Greece

8. Department of Mathematics, University of Thessaly , Greece

Abstract

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.

Funder

RESEARCH – CREATE – INNOVATE

University of Thessaly

Par-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

Competitiveness, Entrepreneurship and Innovation

Greece and the European Union

Hellenic Foundation for Research and Innovation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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