4.6 Article Proceedings Paper

miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions

Journal

BMC BIOINFORMATICS
Volume 21, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s12859-020-3520-z

Keywords

ceRNA interaction; miRNA-target interaction; miRNA sponge; Tumour; TCGA

Funding

  1. Bioinformatics and Computational Biology for Precision Medicine group (BCB4PM)

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BackgroundNon-coding RNAs include different classes of molecules with regulatory functions. The most studied are microRNAs (miRNAs) that act directly inhibiting mRNA expression or protein translation through the interaction with a miRNAs-response element. Other RNA molecules participate in the complex network of gene regulation. They behave as competitive endogenous RNA (ceRNA), acting as natural miRNA sponges to inhibit miRNA functions and modulate the expression of RNA messenger (mRNA). It became evident that understanding the ceRNA-miRNA-mRNA crosstalk would increase the functional information across the transcriptome, contributing to identify new potential biomarkers for translational medicine.ResultsWe present miRTissue (ce), an improvement of our original miRTissue web service. By introducing a novel computational pipeline, miRTissue (ce) provides an easy way to search for ceRNA interactions in several cancer tissue types. Moreover it extends the functionalities of previous miRTissue release about miRNA-target interaction in order to provide a complete insight about miRNA mediated regulation processes. miRTissue (ce) is freely available at http://tblab.pa.icar.cnr.it/mirtissue.html.ConclusionsThe study of ceRNA networks and its dynamics in cancer tissue could be applied in many fields of translational biology, as the investigation of new cancer biomarker, both diagnostic and prognostic, and also in the investigation of new therapeutic strategies of intervention. In this scenario, miRTissue (ce) can offer a powerful instrument for the analysis and characterization of ceRNA-ceRNA interactions in different tissue types, representing a fundamental step in order to understand more complex regulation mechanisms.

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