miRNA Targets: From Prediction Tools to Experimental Validation

• Published in: Methods and protocols Vol. 4; no. 1; p. 1
• Main Authors: Riolo, Giulia, Cantara, Silvia, Marzocchi, Carlotta, Ricci, Claudia
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 24.12.2020; MDPI
• Subjects: Adenosine; Algorithms; Artificial intelligence; Computer applications; experimental validation; Gene expression; Gene regulation; Learning algorithms; Machine learning; MicroRNAs; miRNA; miRNA target; Post-transcription; prediction tools; predictive strategies; Proteins; Review; RNA polymerase; Seeds; Transfer RNA; validation criteria; validation criteria; predictive strategies; experimental validation; prediction tools; high-throughput technologies; miRNA target; machine learning

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression in both animals and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs play gene-regulatory roles, producing remarkable changes in several physiological and pathological processes. Thus, the iden...