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Nucleic Acids Res ; 44(W1): W128-34, 2016 07 08.
Article in English | MEDLINE | ID: mdl-27207881

ABSTRACT

Differential expression analysis (DEA) is one of the main instruments utilized for revealing molecular mechanisms in pathological and physiological conditions. DIANA-mirExTra v2.0 (http://www.microrna.gr/mirextrav2) performs a combined DEA of mRNAs and microRNAs (miRNAs) to uncover miRNAs and transcription factors (TFs) playing important regulatory roles between two investigated states. The web server uses as input miRNA/RNA-Seq read count data sets that can be uploaded for analysis. Users can combine their data with 350 small-RNA-Seq and 65 RNA-Seq in-house analyzed libraries which are provided by DIANA-mirExTra v2.0.The web server utilizes miRNA:mRNA, TF:mRNA and TF:miRNA interactions derived from extensive experimental data sets. More than 450 000 miRNA interactions and 2 000 000 TF binding sites from specific or high-throughput techniques have been incorporated, while accurate miRNA TSS annotation is obtained from microTSS experimental/in silico framework. These comprehensive data sets enable users to perform analyses based solely on experimentally supported information and to uncover central regulators within sequencing data: miRNAs controlling mRNAs and TFs regulating mRNA or miRNA expression. The server also supports predicted miRNA:gene interactions from DIANA-microT-CDS for 4 species (human, mouse, nematode and fruit fly). DIANA-mirExTra v2.0 has an intuitive user interface and is freely available to all users without any login requirement.


Subject(s)
Caenorhabditis elegans/genetics , Drosophila melanogaster/genetics , MicroRNAs/genetics , RNA, Messenger/genetics , Software , Transcription Factors/genetics , Transcription, Genetic , Animals , Binding Sites , Caenorhabditis elegans/metabolism , Drosophila melanogaster/metabolism , Gene Expression Profiling , Gene Expression Regulation , Humans , Internet , Mice , MicroRNAs/metabolism , Molecular Sequence Annotation , Protein Binding , RNA, Messenger/metabolism , Sequence Analysis, RNA , Signal Transduction , Transcription Factors/metabolism
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