Modeling competing endogenous RNAs networks
Carla Bosia, Andrea Pagnani, Riccardo Zecchina

TL;DR
This paper develops a stochastic model to analyze the complex interactions of microRNAs and mRNAs, revealing threshold effects, cross-talk, and response behaviors relevant to gene regulation and disease mechanisms.
Contribution
It introduces a detailed stochastic framework for miRNA-mRNA interactions, highlighting equilibrium and non-equilibrium phenomena around thresholds, including cross-talk and response times.
Findings
Maximal cross-talk and correlation between targets near thresholds
Robustness of ceRNA effects across various parameters
Anomalous response times to external perturbations
Abstract
MicroRNAs (miRNAs) are small RNA molecules, about 22 nucleotide long, which post-transcriptionally regulate their target messenger RNAs (mRNAs). They accomplish key roles in gene regulatory networks, ranging from signaling pathways to tissue morphogenesis, and their aberrant behavior is often associated with the development of various diseases. Recently it has been shown that, in analogy with the better understood case of small RNAs in bacteria, the way miRNAs interact with their targets can be described in terms of a titration mechanism characterized by threshold effects, hypersensitivity of the system near the threshold, and prioritized cross-talk among targets. The latter characteristic has been lately identified as competing endogenous RNA (ceRNA) effect to mark those indirect interactions among targets of a common pool of miRNAs they are in competition for. Here we analyze the…
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Taxonomy
TopicsRNA Research and Splicing · RNA and protein synthesis mechanisms · RNA modifications and cancer
