Visualization and Analysis of MiRNA-Targets Interactions Networks.
MicroRNAs are a class of small, noncoding RNA molecules of 21-25 nucleotides in length that regulate the gene expression by base-pairing with the target mRNAs, mainly leading to down-regulation or repression of the target genes. MicroRNAs are involved in diverse regulatory pathways in normal and pathological conditions. In this context, it is highly important to identify the targets of specific microRNA in order to understand the mechanism of its regulation and consequently its involvement in disease. However, the microRNA target identification is experimentally laborious and time-consuming. The in silico prediction of microRNA targets is an extremely useful approach because you can identify potential mRNA targets, reduce the number of possibilities and then, validate a few microRNA-mRNA interactions in an in vitro experimental model. In this chapter, we describe, in a simple way, bioinformatics guidelines to use miRWalk database and Cytoscape software for analyzing microRNA-mRNA interactions through their visualization as a network.
Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, Av. Las Condes 12438, Santiago, Chile. lleon@udd.cl.
Luis E
LE
León
Centro de Medicina Regenerativa, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, Av. Las Condes 12438, Santiago, Chile.
Sebastián D
SD
Calligaris
D063990:Gene Ontology; D053263:Gene Regulatory Networks; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D034622:RNA Interference; D012984:Software; D059467:Transcriptome
D035683:MicroRNAs
In silico prediction; miRNA targets; miRNA–mRNA networks