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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. [1]
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]
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; To provide a central place collecting all known microRNA sequences; To provide human and computer readable information for ...
StarBase also developed Pan-Cancer Analysis Platform to decipher Pan-Cancer Analysis Networks of lncRNAs, miRNAs, ceRNAs, and RNA-binding proteins (RBPs) by mining clinical and expression profiles of 14 cancer types (including more than six thousand samples) from The Cancer Genome Atlas (TCGA) Data Portal.
MirGeneDB is a database of manually curated microRNA genes that have been validated and annotated as initially described in Fromm et al. 2015 [1] and Fromm et al. 2020. [2] MirGeneDB 2.1 [3] includes more than 16,000 microRNA gene entries representing more than 1,500 miRNA families from 75 metazoan species and published in the 2022 NAR database ...
[21] [22] Control of the Hox genes by miR-10 suggests that this microRNA may play an important role in development. [9] In addition to the Hox genes, miR-10a represses the transcription factor USF2 and the Ran and Pbp1 genes. [23] [24] The cell-surface proteoglycan Syndecan-1 is a target of miR-10b. [25] [26]
The microRNA precursor miR-17 family, includes miR-20a/b, miR-93, and miR-106a/b. With the exception of miR-93, these microRNAs are produced from several microRNA gene clusters, which apparently arose from a series of ancient evolutionary genetic duplication events, and also include members of the miR-19, and miR-25 families. [1]
Rna22 is a pattern-based algorithm for the discovery of microRNA target sites and the corresponding heteroduplexes. [1]The algorithm is conceptually distinct from other methods for predicting microRNA:mRNA heteroduplexes in that it does not use experimentally validated heteroduplexes for training, instead relying only on the sequences of known mature miRNAs that are found in the public databases.