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Updated: Feb 11, 2026

MicroRNA-based Regulation of Picornavirus Tropism
Published on: February 6, 2017
The number of titrated microRNA species dictates ceRNA regulation
Hua-Sheng Chiu1, María Rodríguez Martínez2, Elena V Komissarova3,4
1Texas Children's Cancer Center and Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Abstract:
microRNAs (miRNAs) play key roles in cancer, but their propensity to couple their targets as competing endogenous RNAs (ceRNAs) has only recently emerged. Multiple models have studied ceRNA regulation, but these models did not account for the effects of co-regulation by miRNAs with many targets. We modeled ceRNA and simulated its effects using established parameters for miRNA/mRNA interaction kinetics while accounting for co-regulation by multiple miRNAs with many targets. Our simulations suggested that co-regulation by many miRNA species is more likely to produce physiologically relevant context-independent couplings. To test this, we studied the overlap of inferred ceRNA networks from four tumor contexts-our proposed pan-cancer ceRNA interactome (PCI). PCI was composed of interactions between genes that were co-regulated by nearly three-times as many miRNAs as other inferred ceRNA interactions. Evidence from expression-profiling datasets suggested that PCI interactions are predictive of gene expression in 12 independent tumor- and non-tumor contexts. Biochemical assays confirmed ceRNA couplings for two PCI subnetworks, including oncogenes CCND1, HIF1A and HMGA2, and tumor suppressors PTEN, RB1 and TP53. Our results suggest that PCI is enriched for context-independent interactions that are coupled by many miRNA species and are more likely to be context independent.
Insights
Competing endogenous RNA (ceRNA) networks are crucial in cancer. This study reveals that interactions regulated by numerous microRNAs (miRNAs) are more likely to be context-independent and physiologically relevant.
Area of Science:
- Molecular Biology
- Genetics
- Cancer Research
Background:
- MicroRNAs (miRNAs) are key regulators in cancer.
- Competing endogenous RNA (ceRNA) networks describe miRNA-target interactions.
- Existing ceRNA models do not fully account for miRNA co-regulation of multiple targets.
Purpose of the Study:
- To develop and validate a model for ceRNA regulation that incorporates co-regulation by multiple miRNAs.
- To identify context-independent ceRNA interactions.
- To construct a pan-cancer ceRNA interactome (PCI).
Main Methods:
- Modeled ceRNA regulation using miRNA/mRNA interaction kinetics.
- Simulated effects of co-regulation by multiple miRNAs with numerous targets.
- Inferred ceRNA networks from four tumor contexts.
- Analyzed gene expression data from 12 independent tumor and non-tumor contexts.
- Performed biochemical assays to confirm ceRNA couplings.
Main Results:
- Simulations indicated that extensive miRNA co-regulation favors context-independent ceRNA couplings.
- The proposed pan-cancer ceRNA interactome (PCI) comprises interactions co-regulated by significantly more miRNAs than other interactions.
- PCI interactions accurately predict gene expression across diverse contexts.
- Biochemical assays validated ceRNA couplings for key oncogenes and tumor suppressors within PCI subnetworks.
Conclusions:
- The pan-cancer ceRNA interactome (PCI) is enriched for context-independent ceRNA interactions.
- These interactions are predominantly driven by co-regulation from multiple miRNA species.
- PCI represents a robust framework for understanding miRNA-mediated gene regulation in cancer.
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