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Provides for the first time accurate cell-line-specific miRNA gene transcription start sites (TSSs), coupled with genome-wide maps of transcription factor (TF) binding sites in order to unveil the mechanisms of miRNA transcription regulation. To this end, more than 7.3 billion RNA-, ChIP- and DNase-Seq next generation sequencing reads were analyzed/assembled and combined with state-of-the-art miRNA TSS prediction and TF binding site identification algorithms. The new database schema and web interface facilitates user interaction, provides advanced queries and innate connection with other DIANA resources for miRNA target identification and pathway analysis. The database currently supports 276 miRNA TSSs that correspond to 428 precursors and >19M binding sites of 202 TFs on a genome-wide scale in nine cell-lines and six tissues of Homo sapiens and Mus musculus.

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DIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, Volos, Greece; Hellenic Pasteur Institute, Athens, Greece; Laboratory for Experimental Surgery and Surgical Research ‘N.S. Christeas’, Medical School of Athens, University of Athens, Athens, Greece; ‘Athena’ Research and Innovation Center, Athens, Greece; University of Peloponnese, Department of Informatics and Telecommunications, Tripoli, Greece; School of Electrical and Computer Engineering, NTUA, Zografou, Greece; Greek Research and Technology Network (GRNET), Athens, Greece; Department of Electrical & Computer Engineering, University of Thessaly, Volos, Greece

  • (Georgakilas et al., 2016) DIANA-miRGen v3.0: accurate characterization of microRNA promoters and their regulators. Nucleic acids research.
    PMID: 26586797
  • (Alexiou et al., 2010) miRGen 2.0: a database of microRNA genomic information and regulation. Nucleic acids research.
    PMID: 19850714
  • (Megraw et al., 2007) miRGen: a database for the study of animal microRNA genomic organization and function. Nucleic acids research.
    PMID: 17108354
  • Animals
    • Homo sapiens
    • Mus musculus
  • (Akhtar et al., 2016) Bioinformatic tools for microRNA dissection. Nucleic acids research.
    PMID: 26578605

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