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MicroRNA (miRNA) biosensors are analytical devices that involve interactions between the target miRNA strands and recognition element on a detection platform to produce signals that can be measured to indicate levels or the presence of the target miRNA. Research into miRNA biosensors shows shorter readout times, increased sensitivity and ...
In molecular biology, competing endogenous RNAs (abbreviated ceRNAs) regulate other RNA transcripts by competing for shared microRNAs (miRNAs). [1] Models for ceRNA regulation describe how changes in the expression of one or multiple miRNA targets alter the number of unbound miRNAs and lead to observable changes in miRNA activity - i.e., the abundance of other miRNA targets.
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.
A method of visualizing k-mers, the k-mer spectrum, shows the multiplicity of each k-mer in a sequence versus the number of k-mers with that multiplicity. [6] The number of modes in a k-mer spectrum for a species's genome varies, with most species having a unimodal distribution. [7] However, all mammals have a multimodal distribution.
miRTarBase [1] is a curated database of MicroRNA-Target Interactions.As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs.
Version 3.0 is an algorithm based on several parameters calculated individually for each microRNA and it combines conserved and non-conserved microRNA recognition elements into a final prediction score. human, mouse: No: Yes: webserver [129] MicroTar: An animal miRNA target prediction tool based on miRNA-target complementarity and thermodynamic ...
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.
In bioinformatics, TargetScan is a web server that predicts biological targets of microRNAs (miRNAs) by searching for the presence of sites that match the seed region of each miRNA. [1] For many species, other types of sites, known as 3'-compensatory sites [ 1 ] are also identified.