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This microRNA database and microRNA targets databases is a compilation of databases and web portals and servers used for microRNAs and their targets. MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (ncRNAs) that regulate gene expression by targeting messenger RNAs.
The miRBase registry provides a centralised system for assigning new names to microRNA genes. [6] miRBase grew from the microRNA registry resource set up by Sam Griffiths-Jones in 2003. [7] According to Ana Kozomara and Sam Griffiths-Jones miRBase has five aims: [1] To provide a consistent naming system for microRNAs
miRBase: the microRNA database; PolymiRTS: a database of DNA variations in putative microRNA target sites; PolyQ: database of polyglutamine repeats in disease and non-disease associated proteins; Rfam: a database of RNA families; IRESbase: A comprehensive database of experimentally validated internal ribosome entry sites. [14]
Many mammalian genomes encode four closely related miR-29 precursors that are transcribed in two transcriptional units. For example, human miR-29a and miR-29b-1 are processed from an intron of a long non-coding transcript pri-miRNA (lnc-pri-miRNA) LOC646329 from chromosome 7. miR-29b-2 (identical in sequence to miR-29b-1) and miR-29c are co-transcribed from chromosome 1.
miRBase is considered to be the gold-standard miRNA database—it stores miRNA sequences detected by thousand of experiments. In this database each miRNA is associated with a miRNA precursor and with one or two mature miRNA (-5p and -3p). In the past it had always been said that the same miRNA precursor generates the same miRNA sequences.
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As miR recognition elements are typically found in the 3' UTR of the target gene mRNA, bioinformatics alone can identify putative miR-92 targets using resources such as miRGen database. In one report, miRanda software found 300 different genes that have putative miR-92a binding sites conserved among Homo sapiens, Mus musculus, and Rattus ...