Publications

Authors:

Aparo, Antonino; Avesani, Simone; Parmigiani, Luca; Napoli, Sara; Bertoni, Francesco; Bonnici, Vincenzo; Cascione, Luciano; Giugno, Rosalba

Title:

EasyCircR: Detection and reconstruction of circular RNAs post-transcriptional regulatory interaction networks

Year:

2025

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Referee:

No

Name of journal:

Computers in Biology and Medicine

ISSN of journal:

0010-4825

N° Volume:

188

Page numbers:

1-7

Keyword:

omics analysis computational model

Short description of contents:

Circular RNAs (circRNAs) are regulatory RNAs that play a crucial role in various biological activities and have been identified as potential biomarkers for neurological disorders and cancer. CircRNAs have emerged as significant regulators of gene expression through different mechanisms, including regulation of transcription and splicing, modulation of translation, and post-translational modifications. Additionally, some circRNAs operate as microRNA (miRNA) sponges in the cytoplasm, boosting post-transcriptional expression of target genes by inhibiting miRNA activity. Although existing pipelines can reconstruct circRNAs, identify miRNAs sponged by them, retrieve cascade-regulated mRNAs, and represent the regulatory interactions as complex circRNA-miRNA-mRNA networks, none of the state-of-the-art approaches can discriminate the biological level at which the mRNAs involved in the interactions are regulated, avoiding considering potential target mRNAs not regulated at the post-transcriptional level. EasyCircR is a novel R package that combines circRNA detection and reconstruction with post-transcriptional gene expression analysis (exon-intron split analysis) and miRNA response element prediction. The package enables estimation and visualization of circRNA-miRNA-mRNA interactions through an intuitive Shiny application, leveraging the post-transcriptional regulatory nature of circRNA-miRNA relationship and excluding unrealistic regulatory interactions at the biological level. EasyCircR source code, Docker container and user guide are available at: https://github.com/InfOmics/EasyCircR.

Product ID:

145613

Handle IRIS:

11562/1161538

Last Modified:

May 10, 2025

Bibliographic citation:

Aparo, Antonino; Avesani, Simone; Parmigiani, Luca; Napoli, Sara; Bertoni, Francesco; Bonnici, Vincenzo; Cascione, Luciano; Giugno, Rosalba, EasyCircR: Detection and reconstruction of circular RNAs post-transcriptional regulatory interaction networks «Computers in Biology and Medicine» , vol. 188 , 2025 , pp. 1-7

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