ArticleScientific reports2020
Cerina: systematic circRNA functional annotation based on integrative analysis of ceRNA interactions.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data.BioData mining · 2025Article
- Circular RNA contributes to gastric cancer by targeting Wnt family member 2B as a competing endogenous RNA.World journal of gastroenterology · 2025Article
- Brain-Derived Exosomal CircRNAs in Plasma Serve as Diagnostic Biomarkers for Acute Ischemic Stroke.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2024Article
- Cirscan: a shiny application to identify differentially active sponge mechanisms and visualize circRNA-miRNA-mRNA networks.BMC bioinformatics · 2024Article
- RNAenrich: a web server for non-coding RNA enrichment.Bioinformatics (Oxford, England) · 2023Article
- A Review and In Silico Analysis of Tissue and Exosomal Circular RNAs: Opportunities and Challenges in Thyroid Cancer.Cancers · 2022Review
- circGPA: circRNA functional annotation based on probability-generating functions.BMC bioinformatics · 2022Article
- Circ_0058792 regulates osteogenic differentiation through miR-181a-5p/Smad7 axis in steroid-induced osteonecrosis of the femoral head.Bioengineered · 2022Article
- CRAFT: a bioinformatics software for custom prediction of circular RNA functions.Briefings in bioinformatics · 2022Article
- CircIMPACT: An R Package to Explore Circular RNA Impact on Gene Expression and Pathways.Genes · 2021Article
- Roles of ncRNAs as ceRNAs in Gastric Cancer.Genes · 2021Review
- Aberrant Expression of microRNA Clusters in Head and Neck Cancer Development and Progression: Current and Future Translational Impacts.Pharmaceuticals (Basel, Switzerland) · 2021Review
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Authors and funding
3 authors.
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Abstract
Circular RNAs, a family of covalently circularized RNAs with tissue-specific expression, were recently demonstrated to play important roles in mammalian biology. Regardless of extensive research to predict, quantify, and annotate circRNAs, our understanding of their functions is still in its infancy. In this study, we developed a novel computational tool: Competing Endogenous RNA for INtegrative Annotations (Cerina), to predict biological functions of circRNAs based on the competing endogenous RNA model. Pareto Frontier Analysis was employed to integrate ENCODE mRNA/miRNA data with predicted microRNA response elements to prioritize tissue-specific ceRNA interactions. Using data from several circRNA-disease databases, we demonstrated that Cerina significantly improved the functional relevance of the prioritized ceRNA interactions by several folds, in terms of precision and recall. Proof-of-concept studies on human cancers and cardiovascular diseases further showcased the efficacy of Cerina on predicting potential circRNA functions in human diseases.
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