2.5. miRNA-Based Target Prediction and Pathway Enrichment Analysis of Target Genes

DV Daniel Valle-Millares
ÓB Óscar Brochado-Kith
LM Luz Martín-Carbonero
LD Lourdes Domínguez-Domínguez
PR Pablo Ryan
IS Ignacio De los Santos
SF Sara De la Fuente
JC Juan M. Castro
ML María Lagarde
GC Guillermo Cuevas
MM Mario Mayoral-Muñoz
MM Mariano Matarranz
VD Victorino Díez
AG Alicia Gómez-Sanz
PM Paula Martínez-Román
CC Celia Crespo-Bermejo
CP Claudia Palladino
MM María Muñoz-Muñoz
MJ María A. Jiménez-Sousa
SR Salvador Resino
VB Verónica Briz
AF Amanda Fernández-Rodríguez
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We explored target genes and potential altered molecular pathways for the SDE miRNAs identified in the statistical analysis.

The miRTarbase database was used to identify experimentally validated interactions throughout the hypergeometric distribution approach. Statistically significant miRNA gene-targets (enriched target genes) were found at p-value < 0.05 adjusted by FDR using Benjamin–Hochberg correction and a minimum of two interactions.

The g:Profiler web-based server was used to conduct a functional enrichment analysis on the list of significantly enriched gene targets [16]. We choose the KEGG (Kyoto Encyclopaedia of Genes and Genomes) database to retrieve statistically significantly enriched pathways at the adjusted p-value < 0.05. The Gene Ontology (GO) annotation database was used as a source of information for the enriched target genes identified by the SDE miRNA uniquely found in each comparison.

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