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Integration of Bioinformatic Predictions and Experimental Data to Identify circRNA-miRNA Associations

Center for Genome Research, Department of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi, 287, 41100 Modena, Italy
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Genes 2019, 10(9), 642; https://doi.org/10.3390/genes10090642
Received: 18 July 2019 / Revised: 20 August 2019 / Accepted: 21 August 2019 / Published: 24 August 2019
(This article belongs to the Special Issue RNA Target Prediction Methods)
Circular RNAs (circRNAs) have recently emerged as a novel class of transcripts, characterized by covalently linked 3′–5′ ends that result in the so-called backsplice junction. During the last few years, thousands of circRNAs have been identified in different organisms. Yet, despite their role as disease biomarker started to emerge, depicting their function remains challenging. Different studies have shown that certain circRNAs act as miRNA sponges, but any attempt to generalize from the single case to the “circ-ome” has failed so far. In this review, we explore the potential to define miRNA “sponging” as a more general function of circRNAs and describe the different approaches to predict miRNA response elements (MREs) in known or novel circRNA sequences. Moreover, we discuss how experiments based on Ago2-IP and experimentally validated miRNA:target duplexes can be used to either prioritize or validate putative miRNA-circRNA associations. View Full-Text
Keywords: circRNA; miRNA; target prediction; miRNA sponge circRNA; miRNA; target prediction; miRNA sponge
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MDPI and ACS Style

Dori, M.; Bicciato, S. Integration of Bioinformatic Predictions and Experimental Data to Identify circRNA-miRNA Associations. Genes 2019, 10, 642. https://doi.org/10.3390/genes10090642

AMA Style

Dori M, Bicciato S. Integration of Bioinformatic Predictions and Experimental Data to Identify circRNA-miRNA Associations. Genes. 2019; 10(9):642. https://doi.org/10.3390/genes10090642

Chicago/Turabian Style

Dori, Martina, and Silvio Bicciato. 2019. "Integration of Bioinformatic Predictions and Experimental Data to Identify circRNA-miRNA Associations" Genes 10, no. 9: 642. https://doi.org/10.3390/genes10090642

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