DIANA-miTED constitutes a novel database offering abundance estimates of microRNAs (miRNAs), as obtained via consistent analysis of thousands of raw small RNA-Seq (sRNA-Seq) datasets. The database contains expression values derived from more than 15000 analyzed sRNA-Seq human datasets that were collected from two repositories: the Sequence Read Archive (SRA) and The Cancer Genome Atlas (TCGA).
DIANA-miTED’s content in numbers:
120,897,058,720 analyzed sequencing reads
120,978,144 expression values
15,183 analyzed miRNA-SEQ samples
2656 microRNAs (mirBase v.22)
12400 disease samples (261 total diseases) and 1386 healthy samples
14146 samples annotated with 199 total tissues or organs of origin
1037 samples annotated with 267 cell lines
The main miTED interface, Multi-query page, enables advanced querying of the expression of one or many miRNAs across tissues, cell lines, health statuses and (TCGA) cancer projects. Multi-query results are interconnected with other DIANA resources, so users can easily proceed to online downstream functional analyses. Two supplemental miTED modules, Top miRNAs and Top sites respectively, allow fast identification of the top expressed miRNAs in a tissue of interest and the tissues where a miRNA of interest is most expressed.
miTED results can be downloaded as tab-delimited files for local storage and use, while each query is complemented with informative graphs, which can be processed on the spot and saved as files.
The miRNA Tissue-Expression Database was developed utilizing the latest technologies in web development, namely MongoDB (noSQL database), PHP and Laravel8 for data access layer development and Typescript and Angular 9 for the presentation layer.
Please cite:
Ioannis Kavakiotis, Athanasios Alexiou, Spyros Tastsoglou, Ioannis S Vlachos and Artemis G Hatzigeorgiou, DIANA-miTED: a microRNA tissue expression database, Nucleic Acids Research, 2021;, gkab733, https://doi.org/10.1093/nar/gkab733